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School <strong>of</strong> Forest Science and Resource Management<br />

Technische Universität München<br />

Master <strong>of</strong> Science in Sustainable Resource Management<br />

Winter Semester 2009/2010<br />

<strong>Assessment</strong> <strong>of</strong> <strong>approaches</strong> <strong>to</strong> <strong>identify</strong> <strong>areas</strong> <strong>with</strong><br />

<strong>special</strong> <strong>importance</strong> for biodiversity conservation<br />

in comparison <strong>to</strong> the HCV concept<br />

A Master's thesis in cooperation <strong>with</strong> the Deutsche Gesellschaft für Technische<br />

Zusammenarbeit (GTZ) GmbH – Programme Office for Social and Ecological<br />

Standards<br />

Elaborated by: Katrina Bayer<br />

Elaborated in: Munich, Germany<br />

Submitted on: 30.03.2010<br />

First Pr<strong>of</strong>essor in charge <strong>of</strong> Master’s thesis:<br />

Dipl. Geogr. Sandra Fohlmeister<br />

Second Pr<strong>of</strong>essor in charge <strong>of</strong> Master’s thesis: Dr. Wolfgang Zehlius-Eckert


Table <strong>of</strong> Contents<br />

Abstract .......................................................................................................................... vi<br />

Acknowledgements ....................................................................................................... vii<br />

List <strong>of</strong> Figures ............................................................................................................... viii<br />

List <strong>of</strong> Tables .................................................................................................................. ix<br />

Abbreviations .................................................................................................................. x<br />

1. Introduction .................................................................................................................. 1<br />

1.1 Background ............................................................................................................. 1<br />

1.2 Problem Statement and Research Gaps ................................................................. 2<br />

1.3 Objectives <strong>of</strong> Thesis ................................................................................................ 3<br />

2. Methodology ................................................................................................................. 4<br />

2.1 Overview <strong>of</strong> Methodology ........................................................................................ 4<br />

2.2 Description <strong>of</strong> Methodological Steps ....................................................................... 5<br />

2.2.1 First Literature Research .................................................................................. 5<br />

2.2.1.1 Development <strong>of</strong> Key Questions and Criteria ................................................. 5<br />

2.2.1.2 Choice <strong>of</strong> Approaches for <strong>Assessment</strong> ......................................................... 6<br />

2.2.2 Set <strong>of</strong> Key Questions and Criteria .................................................................... 6<br />

2.2.3 Second Literature Research ............................................................................. 9<br />

2.2.4 Semi-Structured Interviews .............................................................................. 9<br />

2.2.5 Design <strong>of</strong> <strong>Assessment</strong> Methodology .............................................................. 10<br />

2.2.6 Strength-Weakness Analysis.......................................................................... 11<br />

2.2.7 Additional Criteria ........................................................................................... 15<br />

3. Case Study Selection ................................................................................................. 17<br />

3.1 Possible and Selected Approaches ....................................................................... 17<br />

3.2 Rationale behind Approach Selection .................................................................... 18<br />

3.3 Case Study Approach Pr<strong>of</strong>iles ............................................................................... 19<br />

3.3.1 High Conservation Value (HCV) Concept ....................................................... 19<br />

3.3.2 Key Biodiversity Areas (KBA) Approach ......................................................... 20<br />

3.3.3 Ecoregion-Based Conservation (ERBC) Approach ......................................... 21<br />

3.3.4 Focal Species Approach (FSA) ...................................................................... 22<br />

3.3.5 Rapid Ecological <strong>Assessment</strong> (REA).............................................................. 23


3.4 Interim Discussion ................................................................................................. 24<br />

4. Results ........................................................................................................................ 28<br />

4.1 Pre-<strong>Assessment</strong> – Comparison <strong>of</strong> Site Identification Criteria ................................. 28<br />

4.1.1 Site Identification Criteria and their Characteristics ........................................ 28<br />

4.1.1.1 Species Specific Criteria ............................................................................. 29<br />

4.1.1.2 Ecosystem Specific Criteria ........................................................................ 30<br />

4.1.1.3 Site Specific Criteria ................................................................................... 32<br />

4.1.2 Explana<strong>to</strong>ry Notes <strong>to</strong> Approach Criteria Comparison ..................................... 34<br />

4.1.2.1 High Conservation Value (HCV) Concept ................................................... 34<br />

4.1.2.2 Key Biodiversity Areas (KBA) Approach ..................................................... 34<br />

4.1.2.3 Ecoregion-Based Conservation (ERBC) Approach ..................................... 35<br />

4.1.2.4 Focal Species Approach (FSA)................................................................... 36<br />

4.1.2.5 Rapid Ecological <strong>Assessment</strong> (REA) .......................................................... 38<br />

4.1.3 Interim Summary I .......................................................................................... 39<br />

4.2 Strength-Weakness Analysis (SWA) ..................................................................... 41<br />

4.2.1 Overview: Strength-Weakness Analysis Criteria <strong>Assessment</strong> Results ............ 43<br />

4.2.2 Strength-Weakness Pr<strong>of</strong>iles <strong>of</strong> Selected Approaches .................................... 46<br />

4.2.2.1 Pr<strong>of</strong>ile <strong>of</strong> High Conservation Value (HCV) Concept .................................... 47<br />

4.2.2.2 Pr<strong>of</strong>ile <strong>of</strong> Key Biodiversity Areas (KBA) Approach ...................................... 49<br />

4.2.2.3 Pr<strong>of</strong>ile <strong>of</strong> Ecoregion-Based Conservation (ERBC) Approach ...................... 52<br />

4.2.2.4 Pr<strong>of</strong>ile <strong>of</strong> Focal Species Approach (FSA).................................................... 55<br />

4.2.2.5 Pr<strong>of</strong>ile <strong>of</strong> Rapid Ecological <strong>Assessment</strong> (REA) ........................................... 57<br />

4.2.3 Interim Summary II ......................................................................................... 59<br />

4.3 Additional Criteria Analysis .................................................................................... 60<br />

4.3.1 Methods for Site Choice ................................................................................. 62<br />

4.3.1.1 High Conservation Value (HCV) Concept ................................................... 65<br />

4.3.1.2 Key Biodiversity Areas (KBA) Approach ..................................................... 66<br />

4.3.1.3 Ecoregion-Based Conservation (ERBC) Approach ..................................... 67<br />

4.3.1.4 Focal Species Approach (FSA)................................................................... 68<br />

4.3.1.5 Rapid Ecological <strong>Assessment</strong> (REA) .......................................................... 69<br />

4.3.2 Required Resources ...................................................................................... 71<br />

4.3.2.1 High Conservation Value (HCV) Concept ................................................... 72<br />

4.3.2.2 Key Biodiversity Areas (KBA) Approach ..................................................... 73<br />

4.3.2.3 Ecoregion-Based Conservation (ERBC) Approach ..................................... 74<br />

4.3.2.4 Focal Species Approach (FSA)................................................................... 74


4.3.2.5 Rapid Ecological <strong>Assessment</strong> (REA) .......................................................... 74<br />

4.3.3 Data Requirements ........................................................................................ 75<br />

4.3.3.1 Use <strong>of</strong> Existing Data ................................................................................... 76<br />

4.3.3.2 Data Acquisition .......................................................................................... 79<br />

4.3.3.3 Data Validation ........................................................................................... 81<br />

4.3.3.4 Use <strong>of</strong> Remote Sensing .............................................................................. 83<br />

4.3.4 Interim Summary III ........................................................................................ 85<br />

4.4 Summary ............................................................................................................... 90<br />

5. Discussion .................................................................................................................. 94<br />

6. Conclusion ................................................................................................................ 101<br />

7. General Terms .......................................................................................................... 105<br />

References ................................................................................................................. 113<br />

Appendices ............................................................................................................... 123<br />

A1 Explanations <strong>to</strong> Key Questions, Criteria and Sub-Criteria ........................................... 123<br />

A2 Semi-structured Interview Guideline ........................................................................... 128<br />

A3 List <strong>of</strong> Interview Partners ............................................................................................ 131<br />

A4 Interview Reports ....................................................................................................... 132<br />

A5 Strength-Weakness Analyses: Detailed <strong>Assessment</strong> Results ..................................... 187<br />

A6 Methods for Site Choice: Detailed <strong>Assessment</strong> Results ............................................. 201<br />

A7 Required Resources: Detailed <strong>Assessment</strong> Results ................................................... 206<br />

A8 Data Requirements: Detailed <strong>Assessment</strong> Results ..................................................... 210


ABSTRACT<br />

Abstract<br />

This thesis has assessed a range <strong>of</strong> local and regional conservation <strong>approaches</strong> used <strong>to</strong><br />

<strong>identify</strong> <strong>areas</strong> important for biodiversity conservation. The selected <strong>approaches</strong>, namely the<br />

Key Biodiversity Approach (KBA) approach, the Ecoregion-Based Conservation (ERBC)<br />

approach, the Focal Species Approach (FSA) and the Rapid Ecological <strong>Assessment</strong> (REA)<br />

were compared <strong>to</strong> the High Conservation Value (HCV) concept by detecting strengths and<br />

weaknesses, establishing similarities and differences and <strong>identify</strong>ing their input requirements,<br />

<strong>with</strong> the ultimate goal <strong>of</strong> determining their efficiency. To draw the final conclusions presented<br />

in this thesis, a three-step analysis was undertaken. First, the <strong>approaches</strong> were described<br />

and compared based on their criteria for site identification, the scale they address and their<br />

objectives. Second, strength-weakness pr<strong>of</strong>iles for the <strong>approaches</strong>, based on a set <strong>of</strong> key<br />

questions and criteria were established. Third, the <strong>approaches</strong> were ranked according <strong>to</strong><br />

their input requirements.<br />

In line <strong>with</strong> contemporary literature and expert opinion, this thesis concluded that the HCV<br />

concept is a flexible, versatile approach, receiving the second strongest strength-weakness<br />

pr<strong>of</strong>ile and requiring the least amount <strong>of</strong> resources. In comparison, the results obtained for<br />

the KBA approach were in contradiction <strong>to</strong> its popularity amongst leading international<br />

organisations, as it obtained an outcome showing deficiencies in the strength-weakness<br />

analysis and its input requirements. The ERBC approach received excellent results, albeit<br />

<strong>with</strong> the highest input requirements, both aspects being in agreement <strong>with</strong> expert opinion.<br />

The assessment <strong>of</strong> the FSA concurred <strong>with</strong> existing literature, although this was rather due <strong>to</strong><br />

its shortcomings reflected in the weak results obtained. This approach does, however, have<br />

low resource requirements. Finally, the REA showed an extremely comprehensive, yet<br />

successful, assessment performance, reflected in its input requirements and coinciding <strong>with</strong><br />

expert opinion. Overall and considering their differing objectives, the HCV concept, the<br />

ERBC approach and the REA received the best results for this assessment.<br />

The lack <strong>of</strong> accessible data on effectiveness prevented an assessment <strong>of</strong> the efficiency <strong>of</strong><br />

the <strong>approaches</strong> <strong>to</strong> be fulfilled. Future research in this direction would firstly provide a better<br />

understanding <strong>of</strong> the <strong>approaches</strong> and secondly, and perhaps more importantly, give an<br />

indication <strong>of</strong> the cost-benefit <strong>of</strong> the <strong>approaches</strong>. Therefore, implementation success could be<br />

increased by more easily convincing decision makers <strong>of</strong> their individual worth.<br />

vi


ACKNOWLEDGEMENTS<br />

Acknowledgements<br />

First <strong>of</strong> all, I would like <strong>to</strong> express my gratitude <strong>to</strong> the Deutsche Gesellschaft für Technische<br />

Zusammenarbeit (GTZ) GmbH – Programme Office for Social and Ecological Standards for<br />

the initial idea and permission <strong>to</strong> carry out this research, in particular Ms Rosemarie Metz<br />

and Ms Laura Meissner.<br />

Furthermore, I am indebted <strong>to</strong> all interview partners who kindly provided me <strong>with</strong> valuable<br />

information, <strong>with</strong>out which this thesis would not have been possible.<br />

A <strong>special</strong> thanks goes <strong>to</strong> Dr. Chris<strong>to</strong>pher Stewart and Mr. Edward Pollard for their additional<br />

insights and advice, as well as <strong>to</strong> Dr. Klaus Wagner for his recommendations on semistructured<br />

interviews.<br />

Finally, I would like <strong>to</strong> express my great appreciation <strong>to</strong> my advisors, Dipl. Geogr. Sandra<br />

Fohlmeister and Dr. Wolfgang Zehlius-Eckert for their dedicated support and guidance.<br />

vii


LIST OF FIGURES<br />

List <strong>of</strong> Figures<br />

Figure 1: Research methodology ........................................................................................... 4<br />

Figure 2: Overview <strong>of</strong> groups based on pressure-state-response system .............................. 6<br />

Figure 3: Overview <strong>of</strong> assessment methodology ................................................................. 10<br />

Figure 4: Spatial scales addressed by <strong>approaches</strong> .............................................................. 26<br />

Figure 5: Overview <strong>of</strong> criteria used for site identification ...................................................... 28<br />

Figure 6: Overview <strong>of</strong> criteria adopted for site identification ................................................. 39<br />

Figure 7: Overview <strong>of</strong> criteria assessment: focus on strength-weakness analysis ............... 42<br />

Figure 8: Example <strong>of</strong> strength-weakness pr<strong>of</strong>ile scheme ..................................................... 46<br />

Figure 9: HCV strength-weakness pr<strong>of</strong>ile ............................................................................ 47<br />

Figure 10: KBA strength-weakness pr<strong>of</strong>ile ........................................................................... 49<br />

Figure 11: ERBC strength-weakness pr<strong>of</strong>ile ........................................................................ 52<br />

Figure 12: FSA strength-weakness pr<strong>of</strong>ile ........................................................................... 55<br />

Figure 13: REA strength-weakness pr<strong>of</strong>ile .......................................................................... 57<br />

Figure 14: Overview <strong>of</strong> all strength-weakness pr<strong>of</strong>iles ......................................................... 59<br />

Figure 15: Overview <strong>of</strong> criteria assessment: focus on ranking ............................................. 60<br />

Figure 16: Overview <strong>of</strong> additional criteria ............................................................................. 61<br />

Figure 17: Overview <strong>of</strong> methods employed for site choice ................................................... 62<br />

Figure 18: Methods employed for site identification ............................................................. 63<br />

Figure 19: Overview <strong>of</strong> sub-criteria for data requirements ................................................... 75<br />

Figure 20: Overview <strong>of</strong> existing data sources ...................................................................... 76<br />

Figure 21: Examples <strong>of</strong> existing data sources ..................................................................... 77<br />

Figure 22: Overview <strong>of</strong> methods employed for data acquisition ........................................... 79<br />

Figure 23: Overview <strong>of</strong> validation <strong>to</strong>ols ................................................................................ 81<br />

Figure 24: Overview <strong>of</strong> employed remote sensing technology ............................................. 83<br />

Figure 25: Overview <strong>of</strong> results: strength-weakness pr<strong>of</strong>iles ................................................. 92<br />

Figure 26: Overview <strong>of</strong> results: additional criteria ................................................................ 92<br />

viii


LIST OF TABLES<br />

List <strong>of</strong> Tables<br />

Table 1: Overview <strong>of</strong> key questions, criteria and sub-criteria ................................................. 7<br />

Table 2: Defined classification values for key questions and criteria .................................... 12<br />

Table 3: Ordinal ranking system for additional criteria and sub-criteria ................................ 16<br />

Table 4: List <strong>of</strong> possible <strong>approaches</strong> ................................................................................... 17<br />

Table 5: Approach objectives .............................................................................................. 24<br />

Table 6: Comparison <strong>of</strong> <strong>approaches</strong> concerning species specific criteria ............................ 29<br />

Table 7: Comparison <strong>of</strong> <strong>approaches</strong> concerning ecosystem specific criteria ....................... 30<br />

Table 8: Comparison <strong>of</strong> <strong>approaches</strong> concerning site specific criteria ................................... 32<br />

Table 9: Overview: <strong>approaches</strong> according <strong>to</strong> SWA criteria assessment .............................. 44<br />

Table 10: Overview <strong>of</strong> required resources ........................................................................... 71<br />

Table 11: Approach ranking according <strong>to</strong> their methods for site choice ............................... 86<br />

Table 12: Approach ranking according <strong>to</strong> their required resources ...................................... 87<br />

Table 13: Approach ranking according <strong>to</strong> their data sources ............................................... 89<br />

Table 14: Overview <strong>of</strong> classification <strong>of</strong> criteria for strength-weakness analysis .................... 90<br />

Table 15: Ranking overview for Group III criteria and sub-criteria ........................................ 93<br />

Table 16: List <strong>of</strong> all interview partners and their organisations/ companies ........................ 131<br />

Table 17: Overview <strong>of</strong> data obtained for HCV strength-weakness pr<strong>of</strong>ile .......................... 187<br />

Table 18: Overview <strong>of</strong> data obtained for the KBA strength-weakness pr<strong>of</strong>ile ..................... 190<br />

Table 19: Overview <strong>of</strong> data obtained for ERBC strength-weakness pr<strong>of</strong>ile ........................ 193<br />

Table 20: Overview <strong>of</strong> data obtained for the FSA strength-weakness pr<strong>of</strong>ile ..................... 196<br />

Table 21: Overview <strong>of</strong> data obtained for REA strength-weakness pr<strong>of</strong>ile ........................... 199<br />

Table 22: Overview <strong>of</strong> methods employed by the HCV concept for site choice .................. 201<br />

Table 23: Overview <strong>of</strong> methods employed by the KBA approach for site choice ................ 202<br />

Table 24: Overview <strong>of</strong> methods employed by the ERBC approach for site choice ............. 203<br />

Table 25: Overview <strong>of</strong> methods employed by the FSA for site choice................................ 204<br />

Table 26: Overview <strong>of</strong> methods employed by the REA for site choice ............................... 205<br />

Table 27: Overview <strong>of</strong> resources required for the HCV concept ........................................ 206<br />

Table 28: Overview <strong>of</strong> resources required for the KBA and ERBC approach ..................... 208<br />

Table 29: Overview <strong>of</strong> resources required for the FSA and REA ....................................... 209<br />

Table 30: List <strong>of</strong> data required by the HCV concept ........................................................... 210<br />

Table 31: List <strong>of</strong> data required by the KBA approach ......................................................... 211<br />

Table 32: List <strong>of</strong> data required by the ERBC approach ...................................................... 212<br />

Table 33: List <strong>of</strong> data required by the FSA ........................................................................ 213<br />

Table 34: List <strong>of</strong> data required by the REA ........................................................................ 214<br />

ix


ABBREVIATIONS<br />

Abbreviations<br />

AZE<br />

CBD<br />

CI<br />

CITES<br />

CPD<br />

ERBC<br />

FSA<br />

FSC<br />

GTZ<br />

ha<br />

HCV<br />

HCVs<br />

IBA<br />

IPA<br />

IUCN<br />

KBA<br />

N.A.<br />

n.d.<br />

PA<br />

REA<br />

REAs<br />

SWA<br />

TNC<br />

WWF<br />

Alliance for Zero Extinction<br />

Convention on Biological Diversity<br />

Conservation International<br />

Convention on International Trade <strong>of</strong> Endangered Species<br />

Centres <strong>of</strong> Plant Diversity<br />

Ecoregion-based Conservation<br />

Focal Species Approach<br />

Forest Stewardship Council<br />

Deutsche Gesellschaft für Technische Zusammenarbeit GmbH<br />

hectares<br />

High Conservation Value<br />

High Conservation Values<br />

Important Bird Areas<br />

Important Plant Areas<br />

International Union for the Conservation <strong>of</strong> Nature<br />

Key Biodiversity Areas<br />

not applicable<br />

not determined<br />

Protected Area<br />

Rapid Ecological <strong>Assessment</strong><br />

Rapid Ecological <strong>Assessment</strong>s<br />

Strength-Weakness Analysis<br />

The Nature Conservancy<br />

World Wide Fund For Nature<br />

x


1. INTRODUCTION<br />

1. Introduction<br />

1.1 Background<br />

Global biodiversity has been drastically decreasing over the last two centuries as a direct<br />

and indirect consequence <strong>of</strong> human population growth, unsustainable consumption <strong>of</strong><br />

resources and associated environmental changes (Millennium Ecosystem <strong>Assessment</strong><br />

2005b, 96). It is agreed that immediate action is needed <strong>to</strong> defend irreplaceable genes,<br />

species and ecosystems, e<strong>special</strong>ly considering that human welfare development is at risk<br />

under the given circumstances (The World Resources Institute 2010).<br />

There are two main ways <strong>of</strong> protecting these threatened, living resources. The first and more<br />

traditional is <strong>to</strong> protect representative samples <strong>of</strong> habitats and their constituents, in a network<br />

<strong>of</strong> protected <strong>areas</strong>. The second is <strong>to</strong> conserve biodiversity in non-protected <strong>areas</strong> (i.e. mixed<br />

use or production <strong>areas</strong>) (Interview Partner A).<br />

Protected <strong>areas</strong> are essential means for saving biodiversity (Dudley 2008, 2). However, in<br />

the past, the planning and establishment <strong>of</strong> new protected <strong>areas</strong> has, in general, been<br />

neither systematic nor strategic. It has generally been designated in an ad hoc fashion, <strong>of</strong>ten<br />

based on fac<strong>to</strong>rs such as opportunity (i.e. not valuable for land use), scenery, recreation,<br />

<strong>to</strong>urist potential, the influence <strong>of</strong> lobby groups and protection for use such as hunting or<br />

water supply (Pressey 1994, 662). Hence, this route does not ensure that the sites <strong>with</strong> the<br />

most important contributions <strong>to</strong> global biodiversity are adequately protected, but instead<br />

protects less biodiverse regions <strong>with</strong> low human pressure (Pressey et al. 1996, 318, 320).<br />

Furthermore, it also <strong>of</strong>ten fails <strong>to</strong> include the wide range <strong>of</strong> stakeholders required for the long<br />

term success <strong>of</strong> conservation (Langhammer et al. 2007, 8). It has now been widely accepted<br />

that conservation activities should be targeted systematically and strategically (Langhammer<br />

et al. 2007, xi; Margules and Pressey 2000, 243; Warman and Sinclair 2000, 141) in order <strong>to</strong><br />

ensure the persistence <strong>of</strong> biodiversity over time.<br />

Even though protected <strong>areas</strong> are essential for biodiversity conservation, sufficient<br />

conservation efforts will not be achieved through the establishment <strong>of</strong> these alone (Interview<br />

Partner E). The primary threat <strong>to</strong> biodiversity is habitat destruction and degradation, driven<br />

largely by agriculture and forestry (Baillie et al. 2004, 86). These high levels <strong>of</strong> conversion <strong>of</strong><br />

natural habitat are due <strong>to</strong> land use requirements <strong>of</strong> a large and still growing human<br />

population. Moreover, the negative implications for biodiversity are greatly exacerbated in<br />

1


1. INTRODUCTION<br />

<strong>areas</strong> <strong>with</strong> high rates <strong>of</strong> land conversion, coinciding <strong>with</strong> high species richness or endemism<br />

(Millennium Ecosystem <strong>Assessment</strong> 2005b, 96). Therefore, an increasingly important part <strong>of</strong><br />

modern conservation planning is the protection <strong>of</strong> production landscapes. The elements <strong>of</strong><br />

biodiversity can further be safeguarded in production landscapes by either setting up<br />

additional protected <strong>areas</strong>, for instance in a voluntary manner, or finding ways <strong>of</strong> sustainably<br />

managing these regions (Interview Partner D).<br />

Due <strong>to</strong> the rapid loss <strong>of</strong> biodiversity and the limited resources available <strong>to</strong> protect it, priorities<br />

need <strong>to</strong> be identified. Not all elements <strong>of</strong> biodiversity have the same conservation needs, nor<br />

do they provide the same contribution <strong>to</strong> the safeguarding <strong>of</strong> global biodiversity. Prioritisation<br />

is about deciding which elements require immediate attention (Pressey et al. 1993, 124).<br />

Biodiversity and its threats are not evenly distributed, some <strong>areas</strong> are far richer in<br />

biodiversity and e<strong>special</strong>ly in endemism, and since these <strong>areas</strong> are <strong>of</strong>ten also under the<br />

most threat, prioritising conservation efforts in these <strong>areas</strong> will achieve maximum impact,<br />

making a greater contribution <strong>to</strong>wards global biodiversity preservation (Mittermeier et al.<br />

1998, 516).<br />

1.2 Problem Statement and Research Gaps<br />

Many prioritisation <strong>approaches</strong> for the conservation <strong>of</strong> biodiversity, at a global, regional and<br />

local scale, have been developed and employed <strong>to</strong> assist in the effective allocation <strong>of</strong> limited<br />

resources (Brooks et al. 2006, 58; Knight et al. 2007, 256). The variety in concepts has<br />

evolved due <strong>to</strong> biodiversity conservation organisations requiring powerful and cost-effective<br />

<strong>approaches</strong> <strong>to</strong> market as their own, and thereby, improve fundraising (Interview Partner G).<br />

Even though this diversity in <strong>approaches</strong> contributes usefully <strong>to</strong> an ongoing debate about<br />

their appropriateness (Margules and Pressey 2000, 251), it does however, also lead <strong>to</strong><br />

criticism that there is a duplication <strong>of</strong> effort and a lack <strong>of</strong> clarity between the different<br />

<strong>approaches</strong> at all levels (Mace 2000, 393; da Fonseca 2000, 394). So far, few attempts have<br />

been made <strong>to</strong> summarize and compare global prioritisation <strong>approaches</strong> (Redford et al. 2003,<br />

118; Brooks et al. 2006, 58). More importantly, purely regional and local scale prioritisation<br />

<strong>approaches</strong>, being important for the identification <strong>of</strong> more precise and most urgent<br />

conservation targets (Langhammer et al. 2007, 6), have seemingly not been compared in an<br />

adequate manner. The criteria required by and the efficiency <strong>of</strong> these <strong>approaches</strong> are until<br />

now not that well unders<strong>to</strong>od (Interview Partner I). Hence, the need for gaining an overview<br />

<strong>of</strong> contemporary methods used for the identification <strong>of</strong> biodiversity relevant <strong>areas</strong> has arisen.<br />

2


1. INTRODUCTION<br />

The High Conservation Value (HCV) concept, a local prioritisation approach, is commonly<br />

used by the Deutsche Gesellschaft für Technische Zusammenarbeit (GTZ) GmbH and other<br />

international organisations, such as the Rainforest Alliance (The Rainforest Alliance, 2005),<br />

The Nature Conservancy (TNC) and the World Wide Fund for Nature (WWF) (High<br />

Conservation Value Resource Network, 2005 - 07). Thus, the GTZ - Programme Office for<br />

Social and Ecological Standards has requested research <strong>to</strong> be carried out <strong>to</strong> <strong>identify</strong> other<br />

local and regional conservation <strong>approaches</strong>, <strong>to</strong> provide a deeper understanding and<br />

determine the efficiency <strong>of</strong> contemporary <strong>approaches</strong> in comparison <strong>to</strong> the HCV concept.<br />

Realising advantages, disadvantages and divergences <strong>of</strong> such approach identification<br />

phases shall help conservation practitioners make more precise decisions on the choice <strong>of</strong><br />

the approach <strong>to</strong> be employed (Interview Partner A).<br />

1.3 Objectives <strong>of</strong> Thesis<br />

This thesis intends <strong>to</strong> assess a range <strong>of</strong> regional and local conservation <strong>approaches</strong> used <strong>to</strong><br />

<strong>identify</strong> <strong>areas</strong> <strong>with</strong> <strong>special</strong> <strong>importance</strong> for biodiversity conservation in comparison <strong>to</strong> the HCV<br />

concept. Hereby a detailed overview <strong>of</strong> selected <strong>approaches</strong>, <strong>with</strong> regard <strong>to</strong> their similarities,<br />

differences, strengths and weaknesses shall be produced, embarking on the task <strong>of</strong><br />

attempting <strong>to</strong> evaluate their efficiency.<br />

The aim <strong>of</strong> this work is <strong>to</strong> provide answers for the <strong>approaches</strong>’ identification stage <strong>to</strong> the<br />

following research questions:<br />

1. Which local and regional conservation <strong>approaches</strong> exist beyond the HCV concept?<br />

2. What are their differences and similarities?<br />

3. What are their strengths and weaknesses?<br />

4. What input do they require?<br />

5. How effective are they?<br />

Thus, a contribution <strong>to</strong> determine the approach efficiency shall be made – and a thorough<br />

overview <strong>of</strong> contemporary <strong>approaches</strong> used for the identification <strong>of</strong> biodiversity relevant sites<br />

shall be provided.<br />

3


2. METHODOLOGY<br />

2. Methodology<br />

2.1 Overview <strong>of</strong> Methodology<br />

In order <strong>to</strong> compare the HCV concept <strong>to</strong> other contemporary <strong>approaches</strong> used <strong>to</strong> <strong>identify</strong><br />

biodiversity relevant sites, the strength-weakness analysis method was selected as the core<br />

methodology <strong>to</strong> be employed for this thesis. The subsequent steps leading up <strong>to</strong> the strengthweakness<br />

analysis and final results are shown in Figure 1.<br />

Figure 1: Research methodology<br />

2.2.1 First Literature Research<br />

2.2.1.1 Development <strong>of</strong><br />

Key Questions and Criteria<br />

2.2.1.2 Choice <strong>of</strong><br />

Approaches for <strong>Assessment</strong><br />

2.2.2 Set <strong>of</strong> Key Questions and Criteria<br />

2.2.3 Second Literature<br />

Research<br />

2.2.4 Semi-Structured<br />

Interviews<br />

2.2.5. Design <strong>of</strong> <strong>Assessment</strong> Methodology<br />

2.2.6 Strength-Weakness<br />

Analysis<br />

2.2.7 Additional Criteria<br />

Results<br />

Source: Own design<br />

The following chapters are dedicated <strong>to</strong> the detailed description <strong>of</strong> these methodological steps.<br />

4


2. METHODOLOGY<br />

2.2 Description <strong>of</strong> Methodological Steps<br />

2.2.1 First Literature Research<br />

In order <strong>to</strong> compare contemporary <strong>approaches</strong> <strong>to</strong> the HCV concept, a set <strong>of</strong> indica<strong>to</strong>rs, in the<br />

form <strong>of</strong> key questions and criteria, required development. Simultaneously, suitable <strong>approaches</strong><br />

for the assessment needed <strong>to</strong> be identified. Thus, a detailed literature review was undertaken.<br />

All literature research was limited <strong>to</strong> books, journal articles and web sites sourced through online<br />

databases, generalized search engines, library research or by tracking back through citations 1 .<br />

2.2.1.1 Development <strong>of</strong> Key Questions and Criteria<br />

For the performance <strong>of</strong> the strength-weakness analysis, an elaborated set <strong>of</strong> key questions,<br />

criteria and sub-criteria 2 was formulated. Therefore, a thorough comparison <strong>of</strong> the HCV<br />

concept <strong>with</strong> the other contemporary <strong>approaches</strong> would be possible. Furthermore, this<br />

diverse set <strong>of</strong> indica<strong>to</strong>rs was divided in<strong>to</strong> 5 thematic groups: I. Ecology; II. Implementation;<br />

III. Input; IV. Supplementary; and V. Effectiveness.<br />

The integration <strong>of</strong> the key questions in<strong>to</strong> these groups was mainly based on the pressurestate-response<br />

(PSR) system and also undertaken <strong>with</strong> the intention <strong>of</strong> providing a clear<br />

orientation <strong>to</strong> the reader concerning the <strong>approaches</strong> inherent qualities.<br />

Group I (Ecology) was formulated <strong>to</strong> determine whether an approach addresses ecological<br />

aspects <strong>of</strong> biodiversity. Hence, it represents state in the PSR system.<br />

Group II (Implementation) should determine how an approach moves from state <strong>to</strong><br />

response, in terms <strong>of</strong> who (Criteria F and D), where (Criterion C) and how (Criterion E).<br />

The response aspect is represented by Group III (Input) and Group V (Effectiveness).<br />

Group III represents the expenditure <strong>of</strong> a conservation project, whereas Group V should<br />

show which approach protects the largest number <strong>of</strong> species and results in the highest<br />

percentage <strong>of</strong> a set-aside area.<br />

Lastly, Group IV (Supplementary) represents additional criteria that should detect an<br />

approach’s ability <strong>to</strong> firstly detect the pressures influence on state (Criterion K) and secondly<br />

detect the response’s influence on pressure (Criteria J, L and M).<br />

The pressure aspect in itself was not addressed during this thesis, as it was assumed that<br />

this would be more or less the same for all <strong>approaches</strong>, namely the loss <strong>of</strong> biodiversity due<br />

<strong>to</strong> human activity.<br />

1 All references can be found at the end <strong>of</strong> the thesis in the References section.<br />

2 An overview <strong>of</strong> the key questions and criteria can be seen in Chapter, 2.2.2.<br />

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2. METHODOLOGY<br />

Figure 2 provides an overview <strong>of</strong> the thematic groups based on the PSR system.<br />

Figure 2: Overview <strong>of</strong> groups based on pressure-stateresponse<br />

system<br />

Group IV<br />

Supplementary<br />

Criterion K<br />

Group II<br />

Implementation<br />

PRESSURE<br />

STATE<br />

RESPONSE<br />

Group I<br />

Ecology<br />

Group V<br />

Effectiveness<br />

Group IV<br />

Supplementary<br />

Criterion J, L,M<br />

Group III<br />

Input<br />

Source: (OECD 1993, 5)<br />

Own design based on and modified from OECD 1993<br />

2.2.1.2 Choice <strong>of</strong> Approaches for <strong>Assessment</strong><br />

The selection <strong>of</strong> <strong>approaches</strong> was subject <strong>to</strong> a systematic concept. All <strong>approaches</strong><br />

needed <strong>to</strong> be comparable <strong>to</strong> the HCV concept, collectively covering a broad range <strong>of</strong><br />

conservation targets and providing sufficient case studies for reviewing. For practical purposes,<br />

the number <strong>of</strong> assessed <strong>approaches</strong> should lie between 5 and 10 3 .<br />

2.2.2 Set <strong>of</strong> Key Questions and Criteria<br />

An overview <strong>of</strong> the key questions, criteria and sub-criteria divided in<strong>to</strong> their thematic groups<br />

is provided in Table 1 (see next page). In order <strong>to</strong> set up a comparison <strong>of</strong> the contemporary<br />

<strong>approaches</strong> on these key questions and criteria, these were specifically explained and<br />

clearly defined based on argumentative reasoning 4 .<br />

3 Please refer <strong>to</strong> chapter 3.2, Rationale behind Approach Selection, for an explanation <strong>to</strong> the choice <strong>of</strong><br />

<strong>approaches</strong>.<br />

4 Please refer <strong>to</strong> Appendix A1, for the detailed definitions <strong>of</strong> the key questions and criteria.<br />

6


2. METHODOLOGY<br />

Table 1: Overview <strong>of</strong> key questions, criteria and sub-criteria<br />

Group Key Questions Criteria Sub-criteria 5<br />

genetic diversity (C1)<br />

A. Are all levels <strong>of</strong> biodiversity addressed? Addressed biodiversity levels<br />

species diversity (C2)<br />

I. Ecology<br />

ecosystem diversity (C3)<br />

B. Are all ecosystem types addressed? Addressed ecosystem types<br />

terrestrial (C4)<br />

aquatic (C5)<br />

local (C6)<br />

C. At which geographic scale is the approach applicable? Geographic scale <strong>of</strong> applicability<br />

regional (C7)<br />

global (C8)<br />

D. At which level has the method been implemented? Level <strong>of</strong> approach<br />

II. Implementation<br />

E. Which style <strong>of</strong> implementation does the approach apply? Implementation style<br />

private sec<strong>to</strong>r level (C9)<br />

public sec<strong>to</strong>r level (C10)<br />

<strong>to</strong>p-down (C11)<br />

bot<strong>to</strong>m-up (C12)<br />

international experts (C13)<br />

F. For whom is the approach suitable? Suitability for different users<br />

national experts (C14)<br />

local user groups (C15)<br />

site visits (C16)<br />

III. Input G. Which methods were employed for site choice? Methods for site choice<br />

surveys (C17)<br />

additional methods (C18)<br />

5 For definitions <strong>of</strong> the sub-criteria, please refer <strong>to</strong> chapter 7, General Terms.<br />

7


2. METHODOLOGY<br />

Group Key Questions Criteria Sub-criteria<br />

Required resources<br />

H. Which resources are required for identification?<br />

financial resources (C19)<br />

human resources (C20)<br />

III. Input<br />

Continued<br />

I. Which data are required for the identification <strong>of</strong> important<br />

<strong>areas</strong>?<br />

Data requirements<br />

required time (C21)<br />

use <strong>of</strong> existing data (C22)<br />

data acquisition (C23)<br />

data validation (C24)<br />

remote sensing (C25)<br />

J. Is a scoping assessment possible?<br />

Possibility <strong>of</strong> scoping<br />

assessment<br />

required resources (C26)<br />

required time (C27)<br />

IV. Supplementary K. Which threats are considered? What is their severity? Consideration <strong>of</strong> threats<br />

internal (C28)<br />

external (C29)<br />

L. Is guidance for appropriate moni<strong>to</strong>ring steps provided? Moni<strong>to</strong>ring recommendations moni<strong>to</strong>ring recommendations (C30)<br />

M. Is guidance for appropriate management steps provided? Management recommendations management recommendations (C31)<br />

amount (C32)<br />

N. How many different species are conserved?<br />

What is their status?<br />

Conserved species<br />

threat status (C33)<br />

irreplaceability (C34)<br />

V. Effectiveness<br />

sensitivity/ <strong>to</strong>lerance <strong>to</strong>wards threat (C35)<br />

size (C36)<br />

O. How large is the protected area (PA)? Is this area<br />

connected <strong>to</strong> other Protected <strong>areas</strong> (PAs)?<br />

Protected area<br />

state/ naturalness (C37)<br />

connection <strong>with</strong> other PAs (C38)<br />

Source: Own design<br />

representativeness (C39)<br />

8


2. METHODOLOGY<br />

2.2.3 Second Literature Research<br />

A second literature research was performed. Firstly <strong>to</strong> gain some general insight in<strong>to</strong> the<br />

selected <strong>approaches</strong> 6 was thereby gained which enabled a comparison <strong>of</strong> the <strong>approaches</strong>’<br />

scale and objectives, as well as the criteria they employ for site identification. Secondly,<br />

data <strong>with</strong> regard <strong>to</strong> the key questions and criteria was gathered for the individual<br />

<strong>approaches</strong>. During this research it became apparent that not all key questions and criteria<br />

could be answered through literature research alone 7 . Thus, the semi-structured interviews,<br />

which at first were solely designed <strong>to</strong> validate the data obtained from the review, were<br />

redesigned <strong>to</strong> allow for data acquisition as well.<br />

2.2.4 Semi-Structured Interviews<br />

Since this thesis required qualitative, descriptive information, semi-structured interviews<br />

were chosen as method for additional data acquisition and overall data validation. This style<br />

<strong>of</strong> interviewing lends itself well <strong>to</strong> gathering qualitative information, <strong>of</strong>ten based on the<br />

interviewee’s in depth opinion and perspective (USAID 1996, 1). To obtain some background<br />

knowledge on performing semi-structured interviews, a <strong>special</strong>ist <strong>of</strong> the Technical University<br />

<strong>of</strong> Munich was consulted and literature reviewed (Mieg et al. 2005, 1-26; USAID 1996, 1-4).<br />

This enabled an outline and questions for the interviews <strong>to</strong> be formulated 8 .<br />

Furthermore, a list <strong>of</strong> possible interview candidates was established <strong>with</strong> the help <strong>of</strong> a<br />

preliminary stakeholder network analysis and support from the GTZ-Programme Office for<br />

Social and Ecological Standards.<br />

A <strong>to</strong>tal <strong>of</strong> 34 possible candidates were contacted <strong>with</strong> 14 expert interviews (41%) being held<br />

between 21.09.2009 and 02.11.2009. Each interview <strong>to</strong>ok between half an hour and one and<br />

a half hours. Since the majority <strong>of</strong> interviewees 9 were based outside <strong>of</strong> Germany, the<br />

interviews were held via telephone or internet. The interviews were recorded and then<br />

transcribed in<strong>to</strong> a report. All recordings were subsequently erased. Permission from all<br />

interviewees <strong>to</strong> include the interview reports anonymously in this thesis was obtained 10 .<br />

6 An overview <strong>of</strong> each approach is provided in chapter 3.3, Case Study Approach Pr<strong>of</strong>iles.<br />

7 For further detail, please refer <strong>to</strong> chapter 2.2.5, Design <strong>of</strong> <strong>Assessment</strong> Methodology.<br />

8 Please refer <strong>to</strong> Appendix A2 for the interview outline design.<br />

9 Please refer <strong>to</strong> Appendix A3 for a list <strong>of</strong> all interviewees.<br />

10 Please refer <strong>to</strong> Appendix A4 for all interview reports.<br />

9


2. METHODOLOGY<br />

2.2.5 Design <strong>of</strong> <strong>Assessment</strong> Methodology<br />

During the literature reviews and interviews it became apparent that the Group III (Input) and<br />

Group V (Effectiveness) key questions and criteria could not be assessed by a strengthweakness<br />

analysis, due <strong>to</strong> either the complexity or lack <strong>of</strong> available data. Thus, additional<br />

assessment methodology was chosen.<br />

Figure 3 shows the resulting assessment methodology used <strong>to</strong> analyse the selected<br />

<strong>approaches</strong>.<br />

Figure 3: Overview <strong>of</strong> assessment methodology<br />

Strength-Weakness Analysis Ranking No <strong>Assessment</strong> Possible<br />

Group Criteria Group Criteria<br />

Group<br />

Criteria<br />

I. Ecology<br />

A. Addressed<br />

Biodiversity Levels<br />

B. Addressed<br />

Ecosystem Types<br />

III. Input<br />

G. Methods for<br />

Site Choice<br />

H. Required<br />

Resources<br />

I. Data<br />

Requirements<br />

V. Effectiveness<br />

N. Conserved<br />

Species<br />

O. Protected<br />

Area<br />

C. Geographic<br />

Scale <strong>of</strong> Applicability<br />

D. Level <strong>of</strong> Approach<br />

II. Implementation<br />

E. Implementation<br />

Style<br />

F. Suitability for<br />

Different Users<br />

IV. Supplementary<br />

Source: Own Design<br />

J. Possibility <strong>of</strong><br />

Scoping <strong>Assessment</strong><br />

K. Consideration <strong>of</strong><br />

Threats/ Risks<br />

L. Moni<strong>to</strong>ring<br />

Rec ommendations<br />

M. Management<br />

Recommendations<br />

10


2. METHODOLOGY<br />

Criteria A-B (Group I Ecology), criteria C-F (Group II Implementation) and criteria J-M<br />

(Group IV Supplementary) were assessed in the strength-weakness analysis 11 . Enough<br />

data was obtained <strong>to</strong> classify the <strong>approaches</strong> and <strong>to</strong> display the results in strength-weakness<br />

pr<strong>of</strong>iles.<br />

Criteria G-I (Group III Input) were not included in the strength-weakness analysis, but<br />

instead were addressed separately. These criteria are more complex, <strong>of</strong>ten also<br />

interdependent and therefore could not be classified according <strong>to</strong> “strong” and “weak”. Thus,<br />

this thesis provides a ranked estimation <strong>of</strong> the <strong>approaches</strong> based on an ordinal ranking<br />

system 12 .<br />

Criteria N-O (Group V Effectiveness) were not assessed in this thesis, as both literature<br />

reviews and interviews did not provide any data on these criteria.<br />

Consequently, a detailed comparison was undertaken for the selected contemporary<br />

<strong>approaches</strong> used <strong>to</strong> <strong>identify</strong> biodiversity relevant <strong>areas</strong>. This was based on a strengthweakness<br />

analysis for the Groups I (Ecology), II (Implementation) and IV (Supplementary)<br />

and an ordinal ranking system for the Group III (Input).<br />

2.2.6 Strength-Weakness Analysis<br />

The second literature review and the semi-structured interviews provided sufficient data on<br />

strengths and weaknesses for all <strong>approaches</strong>. Strengths and weaknesses could be identified<br />

for the key questions and criteria in Group I (Ecology), Group II (Implementation) and Group<br />

IV (Supplementary). Supported by argumentative reasoning 13 the <strong>approaches</strong> were classified<br />

according <strong>to</strong> very weak (--), weak (-), average (O), strong (+) and very strong (++) for each<br />

key question <strong>with</strong>in the respective groups. The argumentative reasoning was summarised in<br />

tabular form <strong>to</strong> provide specific guidelines in order <strong>to</strong> allocate measures for each key<br />

question and criteria as shown in Table 2. Hence, a strength-weakness pr<strong>of</strong>ile could be<br />

determined for each approach for the key questions and criteria <strong>of</strong> Groups I, II and IV.<br />

11 Please refer <strong>to</strong> chapter 2.2.6, Strength-Weakness Analysis, for the methodological description.<br />

12 Please refer <strong>to</strong> chapter 2.2.7, Additional Criteria, for the methodological description.<br />

13 Please refer <strong>to</strong> Appendix A1 for the argumentation on which the classification is based.<br />

11


2. METHODOLOGY<br />

Table 2: Defined classification values for key questions and criteria<br />

Group Criteria 14 Sub-criteria -- - 0 + ++<br />

I. Ecology<br />

II.<br />

Implementation<br />

A. Addressed<br />

biodiversity levels<br />

B. Addressed<br />

ecosystem types<br />

C. Geographic<br />

scale <strong>of</strong><br />

applicability<br />

genetic diversity<br />

(C1)<br />

species diversity<br />

(C2)<br />

ecosystem<br />

diversity (C3) 15<br />

terrestrial (C4)<br />

aquatic (C5)<br />

local (C6)<br />

regional (C7)<br />

global (C8)<br />

EITHER C1, C2,<br />

C3 not<br />

addressed<br />

OR<br />

one sub-criterion<br />

addressed<br />

partially/<br />

indirectly and<br />

the other two not<br />

addressed<br />

C4 and C5 not<br />

addressed<br />

C6, C7, C8 not<br />

addressed<br />

EITHER C1, C2<br />

C3 addressed<br />

partially/<br />

indirectly<br />

OR<br />

one subcriterion<br />

addressed fully<br />

and the other<br />

two not<br />

addressed<br />

EITHER C4<br />

partially<br />

addressed and<br />

C5 not<br />

addressed<br />

OR<br />

vice versa<br />

C6, C7, C8<br />

addressed<br />

partially<br />

EITHER C2 fully<br />

addressed; C1<br />

partially/<br />

indirectly and C3<br />

not addressed<br />

OR<br />

C3 fully<br />

addressed; C1<br />

and C2 partially<br />

EITHER<br />

C4 and C5<br />

partially<br />

addressed<br />

OR<br />

one sub-criterion<br />

addressed fully<br />

and the second<br />

not at all<br />

One sub-criterion<br />

addressed fully<br />

(either C6, C7 or<br />

C8) and the<br />

other two<br />

addressed<br />

partially (either<br />

C6 & C7 or C7 &<br />

C8 or C6 & C8)<br />

C2 and C3 fully<br />

addressed and<br />

C1 not<br />

addressed<br />

EITHER<br />

C4 fully<br />

addressed and<br />

C5 partially<br />

OR<br />

vice versa<br />

EITHER<br />

C6 and C7<br />

OR<br />

C6 and C8 fully<br />

addressed<br />

AND<br />

C8 OR C7<br />

indirectly OR not<br />

addressed<br />

C1, C2, C3 fully<br />

addressed<br />

Or<br />

C2 and C3 fully<br />

addressed and<br />

C1 indirectly/<br />

partially<br />

C4 and C5 fully<br />

addressed<br />

C6, C7, C8 fully<br />

addressed<br />

or<br />

C7 and C8 fully<br />

addressed and<br />

C6 indirectly<br />

14 The criteria are defined as being met fully, if the approach has actually been implemented at the specific level and not, if it could theoretically be<br />

implemented.<br />

15 It should be noted that ecosystem diversity refers <strong>to</strong> the number <strong>of</strong> different ecosystems. Due <strong>to</strong> the scope <strong>of</strong> this thesis a more in depth analysis <strong>of</strong> the<br />

various levels <strong>of</strong> biodiversity, by including ecosystem functioning, was not possible.<br />

12


2. METHODOLOGY<br />

Group Criteria Sub-criteria -- - 0 + ++<br />

D. Level <strong>of</strong><br />

approach<br />

private sec<strong>to</strong>r<br />

level (C9)<br />

public sec<strong>to</strong>r<br />

level (C10)<br />

C9 and C10 not<br />

addressed<br />

One subcriterion<br />

addressed<br />

partially; the<br />

other one not at<br />

all<br />

EITHER<br />

C9 addressed<br />

fully and C10 not<br />

addressed<br />

OR<br />

C10 addressed<br />

fully and C9 not<br />

addressed<br />

One subcriterion<br />

addressed fully;<br />

the other one<br />

addressed<br />

partially<br />

C9 and C10 fully<br />

addressed<br />

II.<br />

Implementation<br />

(continued)<br />

E. Implementation<br />

style<br />

F. Suitability for<br />

intended users<br />

<strong>to</strong>p-down (C11)<br />

bot<strong>to</strong>m-up (C12)<br />

international<br />

experts (C13)<br />

national experts<br />

(C14)<br />

local user groups<br />

(C15)<br />

C11 and C12<br />

not addressed<br />

C15 and/ or C13<br />

addressed fully;<br />

C14 not<br />

addressed<br />

One subcriterion<br />

addressed<br />

partially; the<br />

other one not at<br />

all<br />

C14 addressed;<br />

C13 and C15<br />

not addressed<br />

EITHER C11<br />

addressed fully<br />

and C12 not<br />

addressed<br />

OR<br />

vice versa<br />

OR both<br />

addressed<br />

partially<br />

C14 fully<br />

addressed and<br />

EITHER<br />

C13 and C15<br />

partially<br />

addressed<br />

One subcriterion<br />

addressed fully;<br />

the other one<br />

addressed<br />

partially<br />

EITHER<br />

C13 and C14<br />

addressed fully<br />

and C15 not or<br />

partially<br />

addressed<br />

OR<br />

C14 and C15<br />

addressed fully<br />

and C13 not or<br />

partially<br />

addressed<br />

C11 and C12<br />

fully addressed<br />

all sub-criteria<br />

are addressed<br />

fully<br />

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2. METHODOLOGY<br />

Group Criteria Sub-criteria -- - 0 + ++<br />

IV.<br />

Supplementary<br />

J. Possibility <strong>of</strong><br />

scoping<br />

assessment<br />

K. Consideration<br />

<strong>of</strong> threats<br />

required<br />

resources (C26)<br />

required time<br />

(C27)<br />

internal (C28)<br />

external (C29)<br />

C26 and C27<br />

not addressed<br />

C28 and C29<br />

not addressed<br />

EITHER<br />

C26 partially<br />

addressed and<br />

C27 not<br />

addressed<br />

OR<br />

vice versa<br />

OR<br />

C26 and C27<br />

not<br />

determinable<br />

<strong>with</strong> an inherent<br />

weakness<br />

EITHER<br />

C26 fully<br />

addressed;<br />

C27 not<br />

addressed<br />

OR<br />

vice versa<br />

OR<br />

C26 and C27 not<br />

determinable<br />

N.A. C28 and C29<br />

partially<br />

addressed<br />

C26 partially and<br />

C27 fully<br />

addressed<br />

C26 and C27<br />

fully addressed<br />

N.A. C28 and C29<br />

fully addressed<br />

L. Moni<strong>to</strong>ring<br />

recommendations<br />

M. Management<br />

recommendations<br />

Key: N.A. = not applicable<br />

Source: Own design<br />

moni<strong>to</strong>ring<br />

recommendations<br />

(C30)<br />

management<br />

recommendations<br />

(C31)<br />

C30 not<br />

addressed<br />

C31 not<br />

addressed<br />

N.A. C30 is partially<br />

addressed<br />

N.A. C31 is partially<br />

addressed<br />

N.A. C30 is fully<br />

addressed<br />

N.A. C31 is fully<br />

addressed<br />

14


2. METHODOLOGY<br />

2.2.7 Additional Criteria<br />

The assessment <strong>of</strong> Group III (Input) criterion G (methods for site choice), criterion H<br />

(required resources) and criterion I (data requirements) was based on literature research<br />

and expert interviews. For this purpose the detailed measures <strong>of</strong> the strength-weakness<br />

analysis were reduced <strong>to</strong> a sequence <strong>of</strong> ordinal numbers or rankings which enabled the<br />

complex information, obtained for the Group III criteria, <strong>to</strong> be evaluated.<br />

The ordinal ranking system was established individually for each criterion.<br />

Criterion G (methods for site choice), in general, based this ranking on the number <strong>of</strong><br />

different methods an approach may implement <strong>to</strong> <strong>identify</strong> sites important for biodiversity<br />

conservation. However, any identified weaknesses or shortcomings were also taken in<strong>to</strong><br />

consideration when ranking the <strong>approaches</strong>.<br />

Criterion H (required resources) based this ranking on the amount <strong>of</strong> resources (financial,<br />

human and time) an approach requires. The lower the required resources, the higher the<br />

approach will be ranked. For this criterion, each sub-criterion was assigned an individual<br />

ranking.<br />

Criterion I (data requirements) based this ranking on the amount <strong>of</strong> different information<br />

sources an approach may make use <strong>of</strong>.<br />

Table 3 shows the divisions behind the ranking system (see next page).<br />

15


2. METHODOLOGY<br />

Table 3: Ordinal ranking system for additional criteria and sub-criteria<br />

Criteria Sub-criteria 1 2 3<br />

Group<br />

III<br />

Input<br />

G. Methods for<br />

Site Choice<br />

H. Required<br />

resources<br />

I. Data<br />

requirements<br />

Site visits (C16)<br />

Survey (C17)<br />

Additional methods<br />

(C18)<br />

Financial resources<br />

(C19)<br />

Human resources<br />

(C20)<br />

Time required<br />

(C21)<br />

Use <strong>of</strong> existing data<br />

(C22)<br />

Data acquisition<br />

(C23)<br />

Data validation<br />

(C24)<br />

Use <strong>of</strong> remote<br />

sensing (C25)<br />

9-11 Methods 6-8 Methods 3-5 Methods<br />

No ranking possible since the range <strong>of</strong> data<br />

obtained was not wide enough 16<br />

Least<br />

intensive<br />

(1-2 people)<br />

Shortest time<br />

(1-12 months)<br />

13-15 data<br />

sources<br />

Key: 1=first place; 2=second place; 3=third place;<br />

Source: Own design<br />

Average<br />

intensive<br />

(3-4 people)<br />

Average<br />

time (1-2,5<br />

years)<br />

10-12 data<br />

sources<br />

Highest<br />

intensive<br />

(≥ 5 people)<br />

Longest time<br />

(≥ 3 years)<br />

7-9 data<br />

sources<br />

This ordinal system enabled a ranking <strong>of</strong> the <strong>approaches</strong> <strong>to</strong> be undertaken for the criteria<br />

and sub-criteria <strong>of</strong> Group III. The <strong>approaches</strong> were ranked according <strong>to</strong> first, second and<br />

third place.<br />

16 Please refer <strong>to</strong> chapter 4.3.4, Interim Summary III, for more detail.<br />

16


3. CASE STUDIES<br />

3. Case Study Selection<br />

3.1 Possible and Selected Approaches<br />

During the first stage <strong>of</strong> research a desk <strong>to</strong>p study was undertaken <strong>to</strong> determine all possible<br />

<strong>approaches</strong> that <strong>identify</strong> <strong>areas</strong> important for biodiversity conservation (see Table 4).<br />

However, the majority <strong>of</strong> these were discovered <strong>to</strong> be unsuitable for the assessment 17 .<br />

Table 4: List <strong>of</strong> possible <strong>approaches</strong><br />

Possible Approaches <strong>to</strong> <strong>identify</strong> biodiversity<br />

relevant sites 18<br />

High Conservation Value (HCV)<br />

Biodiversity <strong>Assessment</strong> and Mapping Methodology<br />

(BAMM)<br />

Biodiversity Hotspots<br />

Centres for Plant Diversity (CPD)<br />

Endemic Bird Areas (EBA)<br />

Ecoregion-Based Conservation (ERBC)<br />

Ecosystem Risk-Representativeness Approach<br />

Focal Species Approach (FSA)<br />

Global 200 Ecoregions<br />

Important Bird Areas (IBA)<br />

Key Biodiversity Areas (KBA)<br />

Major Tropical Wilderness Areas<br />

Rapid Ecological <strong>Assessment</strong> (REA)<br />

Source: Own design<br />

Main Characteristics supporting selection<br />

Stipulated by the GTZ<br />

Multiple criteria<br />

Implementation in production landscapes<br />

Case studies limited <strong>to</strong> Australia<br />

Macro-level approach<br />

Macro-level approach<br />

Macro-level approach<br />

Global application<br />

Ecosystem specific criteria<br />

Numerous case studies<br />

Ecosystem specific criteria<br />

Only one case studies found in literature<br />

Global application<br />

Taxon based surrogate scheme<br />

Implementation in production landscapes<br />

Macro-level approach<br />

Part <strong>of</strong> the KBA process<br />

Global application<br />

Multiple taxon specific criteria<br />

Numerous case studies<br />

Macro-level approach<br />

Global application<br />

Tool used for biodiversity assessments<br />

Numerous case studies<br />

17 Please refer <strong>to</strong> chapter 3.2, Rationale behind Approach Selection, for a detailed explanation.<br />

18 Approaches selected for the assessment are shown in bold.<br />

17


3. CASE STUDIES<br />

3.2 Rationale behind Approach Selection<br />

Many global biodiversity prioritisation conservation <strong>approaches</strong> (macro-level <strong>approaches</strong>)<br />

have been developed over the years (Brooks et al. 2006, 58). Although these <strong>approaches</strong>,<br />

such as Centres for Plant Diversity (WWF and IUCN 1994-97), the Global 200 Ecoregions<br />

(Olson and Dinerstein 1998), Biodiversity Hotspots (Myers et al. 2000) and Endemic Bird<br />

Areas (Stattersfield et al. 1998), have been highly influential in directing conservation<br />

resources on a global scale (Brooks et al. 2006, 61), they have had little success in<br />

<strong>identify</strong>ing regional and local conservation targets (Mace 2000, 393, Sanderson et al. 2002,<br />

902).<br />

Thus, these global <strong>approaches</strong> require subsequent prioritisation at a finer resolution <strong>with</strong>in<br />

the identified <strong>areas</strong> (Pr<strong>of</strong>orest 2005-07). Many national and international organisations have<br />

consequently developed a range <strong>of</strong> regional and local scale prioritisation conservation<br />

assessment schemes (micro-scale <strong>approaches</strong>) <strong>to</strong> <strong>identify</strong> biodiversity at the respective<br />

scales and <strong>to</strong> assist in the effective allocation <strong>of</strong> limited resources (Knight et al. 2007, 256).<br />

Among these is the High Conservation Value (HCV) concept which has, over the years,<br />

increasingly gained wide spread application from many international organisations. Since<br />

this approach is <strong>of</strong> major interest <strong>to</strong> the GTZ - Programme Office for Social and Ecological<br />

Standards and since it is a micro-level approach (i.e. <strong>identify</strong>ing regional and/ or local<br />

conservation targets) (Interview Partner E), the other <strong>approaches</strong> used for this assessment<br />

should also be micro-level <strong>approaches</strong>, in order <strong>to</strong> possess the necessary comparative<br />

character for this research. Another determining fac<strong>to</strong>r for the selection <strong>of</strong> <strong>approaches</strong> was<br />

their global application and <strong>with</strong> this, the number <strong>of</strong> case studies available for the intended<br />

review. Furthermore, this thesis attempted <strong>to</strong> choose a sample <strong>of</strong> <strong>approaches</strong> that<br />

collectively address the full range <strong>of</strong> conservation targets. For instance, the Key Biodiversity<br />

Areas (KBA) approach relies on multiple taxon specific criteria and the Ecoregion-Based<br />

Conservation (ERBC) approach uses ecosystem specific criteria. In contrast, the HCV<br />

concept relies on multiple criteria <strong>identify</strong>ing a broad range <strong>of</strong> conservation targets <strong>with</strong>in<br />

biodiversity relevant sites. The Focal Species Approach (FSA) is implemented in production<br />

landscapes, and was added <strong>to</strong> the set <strong>of</strong> selected <strong>approaches</strong> as a direct comparison <strong>to</strong> the<br />

HCV concept which was also first designed for implementation in this context. Contrasting all<br />

four above mentioned <strong>approaches</strong>, the Rapid Ecological <strong>Assessment</strong> (REA) was finally<br />

added. This approach is a biodiversity characterisation <strong>to</strong>ol based on scientific methodology.<br />

A <strong>to</strong>tal number <strong>of</strong> five was thought <strong>to</strong> be an adequate size for a comparison <strong>with</strong>in the limited<br />

research scope <strong>of</strong> a Master’s thesis, yet guaranteeing the pr<strong>of</strong>iciency <strong>of</strong> research <strong>to</strong> draw<br />

18


3. CASE STUDIES<br />

pr<strong>of</strong>ound conclusions. Thus, the sample assessed in this thesis is made up <strong>of</strong> five extremely<br />

different, but reasonably representative <strong>approaches</strong>, in terms <strong>of</strong> collectively addressing a<br />

wide range <strong>of</strong> conservation targets. However, this sample is far from being exhaustive and<br />

the reader should consider that other sets <strong>of</strong> <strong>approaches</strong> could have been conceivable.<br />

To summarise, the selected <strong>approaches</strong> were: the High Conservation Value (HCV) concept,<br />

the Key Biodiversity Areas (KBA) approach, the Ecoregion-Based Conservation (ERBC)<br />

approach, the Focal Species Approach (FSA) and the Rapid Ecological <strong>Assessment</strong> (REA).<br />

3.3 Case Study Approach Pr<strong>of</strong>iles<br />

3.3.1 High Conservation Value (HCV) Concept<br />

The HCV concept was originally developed by the Forest Stewardship Council (FSC) for<br />

sustainable forest practices in the context <strong>of</strong> forest certification in 1999 (High Conservation<br />

Value Forests or HCVF). The aim was <strong>to</strong> <strong>identify</strong> forest <strong>areas</strong> <strong>of</strong> outstanding significance or<br />

critical <strong>importance</strong> (HCV Resource Network 2005-07) <strong>with</strong> the general phrase ‘Value’<br />

emerging, as the method expanded <strong>to</strong> all kinds <strong>of</strong> ecosystems, habitats and alternative forms<br />

<strong>of</strong> land-usage (Interview Partner A). Since this framework integrates ecological, social and<br />

economic aspects, it has been implemented in a variety <strong>of</strong> <strong>areas</strong>, including land-use<br />

planning, conservation advocacy and designing responsible investment policies (HCV<br />

Resource Network 2005-07).<br />

The foundation <strong>of</strong> this concept is the identification <strong>of</strong> up <strong>to</strong> six High Conservation Values<br />

(HCVs) 19 based on either biological, ecological, social or cultural components which are<br />

deemed exceptional or critically important at a local, regional or global level. The HCV is the<br />

area where the value is situated and which needs <strong>to</strong> be appropriately managed <strong>to</strong> either<br />

maintain or enhance it (HCV Resource Network 2005-07). Hence, the HCV concept is a<br />

management orientated process that helps land managers and owners find ways <strong>to</strong><br />

sustainably manage their land (Interview Partner G). In addition, moni<strong>to</strong>ring establishes the<br />

effectiveness and success <strong>of</strong> this management. The process’ success, <strong>to</strong> date, has been<br />

accredited <strong>to</strong> its flexibility, wide ranging stakeholder participation and transparency (HCV<br />

Resource Network 2005-7).<br />

19 Please refer <strong>to</strong> chapter 4.1.2.1 for further detail on the HCV criteria.<br />

19


3. CASE STUDIES<br />

3.3.2 Key Biodiversity Areas (KBA) Approach<br />

Since the dominant threat for most terrestrial and freshwater species is the destruction <strong>of</strong><br />

their habitats (Baillie et al. 2004, xxii), it has become clear that the establishment <strong>of</strong><br />

protected <strong>areas</strong> is an effective <strong>to</strong>ol for biodiversity conservation (Brunner et al. 2001, 126).<br />

The objective <strong>of</strong> the Key Biodiversity Areas (KBA) approach is <strong>to</strong> provide guidelines for<br />

<strong>identify</strong>ing priorities for both expanding and strengthening the global protected area system,<br />

<strong>to</strong> ensure its representativeness, comprehensiveness and long-term effectiveness<br />

(Langhammer et al. 2007, xiv, 6). KBA are globally significant sites for biodiversity which are<br />

large enough and sufficiently interconnected <strong>to</strong> support viable populations <strong>of</strong> species<br />

(Langhammer et al. 2007, 5).<br />

They are identified using globally-set, simple, standard criteria and thresholds 20 based on<br />

their <strong>importance</strong> in maintaining populations <strong>of</strong> species (Eken et al. 2004, 1111). These<br />

globally set, quantitative criteria are based on the concepts <strong>of</strong> vulnerability and<br />

irreplaceability (Langhammer et al. 2007, 7). This consistent methodology identifies and<br />

maps biologically significant sites <strong>of</strong> the size <strong>of</strong> a practical management unit, such as<br />

protected <strong>areas</strong>, concessions and properties. Thus, conservation targets and gaps can be<br />

identified (Conservation International 2008, 1). The identification <strong>of</strong> KBA, at a national or<br />

regional scale, may be the starting point for landscape level conservation planning, as these<br />

priority sites provide the building blocks for maintaining ecological networks (Langhammer et<br />

al. 2007, 6).<br />

The approach builds on and is supported by previous initiatives, such as the IUCN’s Red List<br />

<strong>of</strong> Threatened Species, BirdLife International’s Important Bird Areas (IBA), PlantLife<br />

International’s Important Plant Areas (IPA) and sites identified by the Alliance for Zero<br />

Extinction (AZE), as well as Conservation International (CI). Thus, all taxonomic groups, for<br />

which data is available, are considered (Langhammer et al. 2007, 5). Additionally, this<br />

iterative process allows for the immediate identification <strong>of</strong> important sites using existing data,<br />

while allowing for continuous refinement as new information becomes available<br />

(Conservation International 2008, 2).<br />

20 Please refer <strong>to</strong> chapter 4.1.2.2 for further detail on the KBA criteria and thresholds.<br />

20


3. CASE STUDIES<br />

3.3.3 Ecoregion-Based Conservation (ERBC) Approach<br />

In 1998 the Global 200 <strong>Assessment</strong> presented a valuable method for <strong>identify</strong>ing terrestrial,<br />

freshwater, and marine ecoregions containing significant biodiversity values. In addition, this<br />

analysis performed conservation status assessments on the world’s terrestrial ecoregions.<br />

This provided an estimate <strong>of</strong> the current and future ability <strong>of</strong> an ecoregion <strong>to</strong> maintain viable<br />

species populations, <strong>to</strong> sustain ecological processes and <strong>to</strong> be responsive <strong>to</strong> short and long<br />

term environmental changes. The ecoregions were classified according <strong>to</strong> three categories:<br />

(i) critical / endangered, (ii) vulnerable or (iii) relatively stable / relatively intact. Preliminary<br />

assessments for marine and freshwater ecoregions have also been performed (Ohlson and<br />

Dinerstein 1998, 512). The rationale behind this work is <strong>to</strong> conserve a comprehensive<br />

representation <strong>of</strong> the world’s habitats and ecosystem types, therefore also safeguarding the<br />

broadest range <strong>of</strong> the world’s species and the ecological processes that maintain life<br />

(Dinerstein et al. 2000, 6). This macro-level approach lays the foundation for more fine scale<br />

conservation <strong>approaches</strong>, such as the Ecoregion-Based Conservation (ERBC) approach, <strong>to</strong><br />

<strong>identify</strong> and conserve important targets <strong>with</strong>in these ecoregions (Ohlson and Dinerstein<br />

1998, 512, Dinerstein et al. 2000, 6).<br />

The ERBC approach was originally developed by the World Wide Fund for Nature (WWF)<br />

(Dinerstein et al. 2000; Groves et al. 2004). It arose, in part, from the need <strong>to</strong> find ways <strong>to</strong><br />

operate at a scale (i.e. the ecoregion) large enough <strong>to</strong> achieve conservation results that are<br />

ecologically viable and <strong>to</strong> conserve networks <strong>of</strong> key sites, migration corridors, and the<br />

ecological processes that maintain healthy ecosystems. Hereby it attains full representation<br />

<strong>with</strong>in an ecoregion. Since the scale <strong>of</strong> the ecoregion is <strong>of</strong>ten <strong>to</strong>o large for a detailed analysis<br />

that is required for guidance on specific land management options, ERBC identifies, at the<br />

scale <strong>of</strong> the landscape, priority <strong>areas</strong> as operational units for implementation. This allows for<br />

the development <strong>of</strong> more specific recommendations and involvement <strong>of</strong> local stakeholders<br />

and land managers (Groves et al. 2004, 2).<br />

The foundation <strong>of</strong> the ERBC approach could be considered <strong>to</strong> be the “biodiversity vision<br />

plan” which aims <strong>to</strong> conserve and, where necessary, res<strong>to</strong>re the full expression <strong>of</strong><br />

biodiversity in the long-run. In order <strong>to</strong> achieve this ambitious goal, the approach addresses<br />

not only different spatial, but also different temporal scales (Dinerstein et al. 2000, 16;<br />

Marshall et al. 2004, 17). The goals and strategies identified as part <strong>of</strong> the biodiversity vision<br />

plan are set <strong>with</strong>in a short, medium and long term time frame. Site identification is based on<br />

five explicit conservation criteria 21 , resulting in protected <strong>areas</strong> as core conservation targets<br />

21 Please refer <strong>to</strong> chapter 4.1.2.3 for further detail on the ERBC criteria.<br />

21


3. CASE STUDIES<br />

<strong>with</strong> the establishment <strong>of</strong> a network representing all habitats and ecosystems. The concept<br />

addresses minimal area requirements necessary <strong>to</strong> maintain viable populations and critical<br />

processes (Dinerstein et al. 2000, 19). Thus, it tries <strong>to</strong> capture and maximise the different<br />

scales and conservation targets <strong>of</strong> biodiversity, making it exceptionally comprehensive and<br />

representative (Interview Partner I).<br />

3.3.4 Focal Species Approach (FSA)<br />

Due <strong>to</strong> the threat <strong>of</strong> habitat destruction and degradation (Baillie et al. 2004, 86), and since<br />

data on biodiversity is extremely limited and more <strong>of</strong>ten than not riddled <strong>with</strong> gaps and<br />

biases (The Royal Society 2003, 6; Langhammer et al. 2007, 9), the need <strong>to</strong> act quickly <strong>with</strong><br />

incomplete information has emerged. Therefore, short-cuts relying on the identification <strong>of</strong> a<br />

few key species that could be concentrated on during conservation planning have been<br />

developed (Hess and King 2002, 25). More precisely, <strong>to</strong> halt the loss <strong>of</strong> species from<br />

production landscapes, such as agriculture, forestry and grazing <strong>areas</strong>, it is necessary <strong>to</strong><br />

<strong>identify</strong> the composition, quantity, and structure <strong>of</strong> landscape elements that are required <strong>to</strong><br />

meet the needs <strong>of</strong> the species present (Lambeck 1997, 850).<br />

The Focal Species Approach (FSA) is a multi-species approach used <strong>to</strong> define the<br />

landscape features and the management strategies essential for the survival <strong>of</strong> biota <strong>with</strong>in a<br />

fragmented landscape. It identifies a set <strong>of</strong> focal species, each <strong>of</strong> which is used <strong>to</strong> determine<br />

the exact attributes required by all other species for their survival (Lambeck 1997, 851). All<br />

species considered at risk are grouped according <strong>to</strong> the processes that threaten their<br />

survival 22 . Within each group, the most sensitive species <strong>to</strong> that particular threat is termed<br />

the focal species and is used <strong>to</strong> define the minimum threshold at which the threat can occur<br />

<strong>with</strong>out causing the destruction <strong>of</strong> that particular species (Lambeck 1997, 852). Since the<br />

landscape is designed, managed and, where needed, res<strong>to</strong>red <strong>to</strong> meet the needs <strong>of</strong> the<br />

most demanding species, it is presumed that all other needs will be covered by the<br />

approach, thus, effectively leading <strong>to</strong> the conservation <strong>of</strong> all biota present in the area <strong>of</strong><br />

interest (Lambeck 1997, 851; Lindenmeyer et al. 2002, 338).<br />

This approach provides an efficient and strategic means <strong>of</strong> enhancing the conservation value<br />

<strong>of</strong> a landscape. However, it does not provide a method for achieving a viable landscape (i.e.<br />

one that will retain its biota over time), since it does not <strong>identify</strong> the area over which the<br />

solution must be applied. In the future, this shortcoming may be resolved if further<br />

investigations reveal that landscapes ensuring population viability for the focal species also<br />

22 Please refer <strong>to</strong> chapter 4.1.2.4, for a detailed description <strong>of</strong> the FSA threat groups.<br />

22


3. CASE STUDIES<br />

provide the requirements <strong>to</strong> support viable populations <strong>of</strong> all other species (Lambeck 1997,<br />

855).<br />

3.3.5 Rapid Ecological <strong>Assessment</strong> (REA)<br />

Considering the relatively superficial knowledge <strong>of</strong> biodiversity and the substantial threat<br />

<strong>to</strong>wards it, a need for comprehensive, reliable information about biodiversity resources has<br />

arisen, in order <strong>to</strong> protect this natural heritage. Given the urgency <strong>of</strong> the situation and the<br />

limited financial resources available, the Rapid Ecological <strong>Assessment</strong> (REA) was born by<br />

The Nature Conservancy (TNC) in 1991. This methodology is a scientifically sound survey <strong>of</strong><br />

vegetation types and species (Sayre et al. 2000, 2). Its objective is <strong>to</strong> characterise the<br />

landscape and species level <strong>of</strong> biodiversity <strong>of</strong> large unknown <strong>areas</strong> (Interview Partner I;<br />

Sayre et al. 2000, 33, 81).<br />

The REA utilizes a combination <strong>of</strong> remote sensed imagery, reconnaissance overflights, field<br />

data collection, and spatial information visualization <strong>to</strong> generate useful data for conservation<br />

planning (Sayre et al. 2000, 6). Essentially, the basic REA methodology has remained<br />

relatively unchanged since its original inception. It continues <strong>to</strong> focus on landscape level<br />

conservation, however, adopting a coarse filter-fine filter emphasis <strong>with</strong> the goal <strong>of</strong><br />

conserving landscapes (coarse filter) and subsequently resulting in the conservation <strong>of</strong><br />

species (fine filter) contained <strong>with</strong>in them. The rapid development <strong>of</strong> spatial information<br />

technologies has revolutionized the methodology <strong>of</strong> a REA at the coarse scale. Thus,<br />

refinement <strong>of</strong> and focusing-in <strong>to</strong> more detailed complementary information from the field (fine<br />

scale) is enabled (Sayre et al. 2000, 6).<br />

The REA has not only resulted in the selection <strong>of</strong> priority conservation <strong>areas</strong>, but also in the<br />

establishment <strong>of</strong> protected <strong>areas</strong>, development <strong>of</strong> management plans, design <strong>of</strong> corridors,<br />

and identification <strong>of</strong> future research needs. Furthermore, the resulting mapped and<br />

documented characterisation <strong>of</strong> biodiversity has improved scientific knowledge (Sayre et al.<br />

2000, 7) and has been used for numerous activities, such as providing information for the<br />

identification <strong>of</strong> important ecological sites or <strong>special</strong> conservation <strong>areas</strong> and defining<br />

ecologically based boundaries, amongst several other activities (Sayre et al. 2000, 34).<br />

Overall, the selected <strong>approaches</strong> are not only varied in their origin and objectives, but also in<br />

the conservation targets and scales they address.<br />

23


3. CASE STUDIES<br />

3.4 Interim Discussion<br />

Due <strong>to</strong> the predetermined set <strong>of</strong> key questions, criteria and sub-criteria, certain aspects <strong>of</strong><br />

the <strong>approaches</strong>, dealing <strong>with</strong> strengths, weaknesses and differences in their objectives and<br />

the scale they address would not be included in the actual comparison. In order <strong>to</strong> produce<br />

an overall picture <strong>of</strong> the <strong>approaches</strong>, these issues were briefly addressed.<br />

Through their different origins the majority <strong>of</strong> the assessed <strong>approaches</strong> also have different<br />

objectives, as can be seen in Table 5. The desired outcome <strong>of</strong> any project plays an<br />

important role in which approach should ultimately be implemented for various biodiversity<br />

aspects (Interview partner A). Thus, <strong>to</strong> produce an overall picture <strong>of</strong> the individual<br />

<strong>approaches</strong>, their objectives should also be considered (Interview Partner D).<br />

Table 5: Approach objectives<br />

Approach<br />

HCV concept<br />

KBA approach<br />

ERBC approach<br />

FSA<br />

REA<br />

Source: Own design<br />

Objectives<br />

Management Plans in Production Landscapes<br />

(<strong>identify</strong>ing social and biodiversity values)<br />

Strengthening Protected Area System<br />

Conserve Full Range <strong>of</strong> Biodiversity<br />

Management Plans in Production Landscapes<br />

(halting the further loss <strong>of</strong> species)<br />

Characterisation <strong>of</strong> Biodiversity<br />

The HCV concept focuses on biodiversity and social values <strong>of</strong> outstanding significance or<br />

critical <strong>importance</strong> in production landscapes (Interview Partner D). It is a managemen<strong>to</strong>riented<br />

process which produces management plans and recommendations <strong>to</strong> either<br />

maintain or enhance the identified values at the site scale (Interview Partner D, E and G).<br />

The KBA approach’s objective is <strong>to</strong> provide guidelines for strengthening and expanding the<br />

global protected area system, in order <strong>to</strong> ensure its representativeness, comprehensiveness<br />

and long-term effectiveness (Langhammer et al. 2007, xiv, 6). It not only informs national<br />

conservation planning, but also development planning (Langhammer et al. 2007, xi),<br />

indicating a recipe for implementation success. Biodiversity conservation will have higher<br />

chances <strong>of</strong> success, if strategies are reflected in the national development or poverty<br />

reduction strategies. Simultaneously, development plans can be more effective, if they take<br />

24


3. CASE STUDIES<br />

in<strong>to</strong> account existing plans and priorities for the conservation and sustainable use <strong>of</strong><br />

biodiversity (Millennium Ecosystem <strong>Assessment</strong> 2005a, 14).<br />

In general, the aim <strong>of</strong> the ERBC approach is <strong>to</strong> conserve the full range <strong>of</strong> species, natural<br />

communities, habitats and ecological processes (Dinerstein et al. 2000, 24), <strong>with</strong> the<br />

development <strong>of</strong> strategies for short- (<strong>with</strong>in 1 year), medium- (1-10 years) and long-term<br />

goals (up <strong>to</strong> 100 years) (Dinerstein et al. 2000, 29). Therefore, these objectives allow for a<br />

more comprehensive and integrated analysis. It is the most suited approach for capturing<br />

ecological processes and entire ecosystems (Interview Partner I).<br />

The objective <strong>of</strong> the FSA is <strong>to</strong> prevent any further loss <strong>of</strong> species in production landscapes.<br />

To achieve this, it is necessary <strong>to</strong> determine the composition, quantity and configuration <strong>of</strong><br />

the landscape, <strong>to</strong> meet the needs <strong>of</strong> any species present (Lambeck 1997, 849). Even though<br />

it does not ensure the persistence <strong>of</strong> viable populations over time, it provides an efficient and<br />

strategic <strong>to</strong>ol for enhancing the conservation value <strong>of</strong> the production landscape (Lambeck<br />

1997, 854).<br />

In general, the REA aims <strong>to</strong> characterise the distribution <strong>of</strong> vegetation and specific taxa,<br />

producing baseline biophysical information required for a number <strong>of</strong> different actions. It is an<br />

extremely flexible, iterative methodology that can be employed for a variety <strong>of</strong> different uses<br />

and is exceptionally well suited for information-poor regions <strong>of</strong> the world (Sayre et al. 2000,<br />

11).<br />

In general, the <strong>approaches</strong>’ objectives all differ and careful consideration should be taken<br />

when choosing an approach for <strong>identify</strong>ing <strong>areas</strong> important for biodiversity conservation.<br />

The spatial scale <strong>of</strong> conservation actions required for halting the loss <strong>of</strong> biodiversity is an<br />

ongoing and rigorous debate. However, a wide-spread consensus is that by addressing a<br />

multitude <strong>of</strong> scales, such as the site, landscape and ecoregional scale 23 , the success <strong>of</strong> any<br />

biodiversity conservation approach will be enhanced (Boyd et al. 2008, 42), as this will<br />

ensure the persistence <strong>of</strong> broad scale ecological processes and biodiversity in the long term<br />

(Langhammer et al. 2007, 6; Interview Partner M).<br />

23 Please refer <strong>to</strong> chapter 7, General Terms, for precise definitions.<br />

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3. CASE STUDIES<br />

Figure 4 provides an overview <strong>of</strong> the different spatial scales the <strong>approaches</strong> address.<br />

Figure 4: Spatial scales addressed by <strong>approaches</strong><br />

Different<br />

Spatial Scales<br />

Site scale<br />

HCV<br />

KBA<br />

ERBC<br />

REA<br />

Landscape scale<br />

HCV<br />

ERBC<br />

FSA<br />

REA<br />

Ecoregional<br />

scale<br />

ERBC<br />

Source: Own design<br />

Since the HCV concept is an approach used for the identification <strong>of</strong> values in a land<br />

management unit (i.e. the site scale) and since work has begun at the landscape level in<br />

order <strong>to</strong> incorporate the wider context (Interview Partner D), this approach successfully<br />

merges two conservation scales, thereby increasing its efficacy 24 .<br />

In contrast, the KBA approach is employed solely at the site scale for the identification <strong>of</strong><br />

global biodiversity priorities. Even though working at this scale alone will prevent the long<br />

term persistence <strong>of</strong> biodiversity (Boyd et al. 2008, 42; Dinerstein et al. 2000, 15; Knight et al.<br />

2007, 258), it forms a solid foundation and encourages additional conservation <strong>approaches</strong><br />

at different scales <strong>to</strong> compliment it (Langhammer et al. 2007, 6; Interview Partner M).<br />

The ERBC approach successfully merges three conservation scales 25 , thereby increasing<br />

its efficacy. Even though the development <strong>of</strong> strategies, at the scale <strong>of</strong> an ecoregion enables<br />

a more comprehensive and integrated approach <strong>to</strong> be undertaken, it also increases the<br />

complexity <strong>of</strong> the process, posing a number <strong>of</strong> challenges for conservation planning (Young<br />

and Fowkes 2003, 16). The ecoregion, as a unit, is useful for understanding environmental<br />

issues and threats that transcend individual agencies and administrative boundaries<br />

24 Please refer <strong>to</strong> chapter 4.3.1.1, Methods for Site Choice, for a more detailed description here<strong>of</strong>.<br />

25 Please refer <strong>to</strong> chapter 4.3.1.3, Methods for Site Choice, for a more detailed description here<strong>of</strong>.<br />

26


3. CASE STUDIES<br />

(Marshall et al. 2004, 4). Hence, conservation practitioners are obliged <strong>to</strong> work in a complex<br />

political, legal and socio-economic environment, adding <strong>to</strong> the complexity <strong>of</strong> the task (Young<br />

and Fowkes 2003, 16). Since this scale is <strong>of</strong>ten <strong>to</strong>o large for specific land management<br />

options and recommendations and for <strong>identify</strong>ing conservation targets at the species level,<br />

landscape and site scale planning <strong>with</strong>in an ERBC approach’s conservation strategy has<br />

rapidly emerged (Dinerstein et al. 2000, 13, 39; Groves et al. 2004, viii, 2). Thus, this<br />

approach is the most comprehensive and representative in terms <strong>of</strong> trying <strong>to</strong> capture and<br />

maximise the different scales <strong>of</strong> biodiversity (Interview Partner I).<br />

The FSA has been designed <strong>to</strong> target conservation issues at the landscape scale (Lambeck<br />

1997, 851), e<strong>special</strong>ly heavily fragmented agricultural or urbanised landscapes (Hugget<br />

2007, 1; Hess and King 2002, 26). Although it does not <strong>identify</strong> the requirements for a viable<br />

landscape in the long term (Lambeck 1997, 855; Hess 2006, 363), it is a start in the right<br />

direction in regions where strong economic pressure makes implementation <strong>of</strong> any<br />

conservation action extremely difficult (Hess and King 2002, 37).<br />

The REA can be implemented at the site and landscape scale. The information on<br />

biodiversity distribution, obtained during the REA, is used <strong>to</strong> design regional conservation<br />

strategies, thereby conserving representative examples <strong>of</strong> biodiversity. This approach places<br />

less emphasis on the understanding <strong>of</strong> ecological processes, but rather characterises the<br />

distribution <strong>of</strong> biota (Sayre et al. 2000, 13). Therefore, it combines two conservation scales.<br />

In conclusion, the long term persistence <strong>of</strong> biodiversity, as well as <strong>identify</strong>ing land<br />

management options and species specific concerns can only be accounted for when<br />

conservation actions are targeted at an ecoregion, landscape and site. Thus, the ERBC<br />

approach best achieves this, followed by the HCV concept and REA. The KBA approach and<br />

FSA are not designed <strong>to</strong> address more than one approach. However, the KBA approach was<br />

designed <strong>to</strong> compliment other initiatives addressing scales other than the site. This is not the<br />

case for the FSA.<br />

In terms <strong>of</strong> <strong>identify</strong>ing and conserving biodiversity, the <strong>approaches</strong> <strong>with</strong> this exact objective<br />

and those combining multiple scales tend <strong>to</strong> be more successful. Therefore, the ERBC<br />

approach was found <strong>to</strong> be the most successful, followed closely by the HCV concept and the<br />

REA. Both the KBA approach and the FSA are - judged from the perspective mentioned<br />

above - the least successful <strong>approaches</strong> for ensuring the long-term persistence <strong>of</strong><br />

biodiversity.<br />

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4. RESULTS<br />

4. Results<br />

4.1 Pre-<strong>Assessment</strong> – Comparison <strong>of</strong> Site Identification Criteria<br />

4.1.1 Site Identification Criteria and their Characteristics<br />

The five <strong>approaches</strong> all apply criteria for the identification <strong>of</strong> biodiversity relevant <strong>areas</strong>.<br />

This section provides an overview <strong>of</strong> these criteria, showing similarities and differences in<br />

the <strong>approaches</strong>’ identification processes. The criteria herein have been divided and<br />

clustered in<strong>to</strong> three groups: species specific, ecosystem specific and site specific criteria<br />

(see Figure 5).<br />

Figure 5: Overview <strong>of</strong> criteria used for site identification<br />

Approach’s Site<br />

Identification Criteria<br />

Species specific<br />

criteria<br />

4.1.1.1<br />

Site specific<br />

criteria<br />

4.1.1.3<br />

Ecosystem<br />

specific criteria<br />

4.1.1.2<br />

Source: Own design<br />

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4. RESULTS<br />

4.1.1.1 Species Specific Criteria<br />

Table 6 lists all species specific criteria identified <strong>with</strong>in this thesis and shows<br />

which <strong>approaches</strong> apply these. While species based conservation is <strong>of</strong>ten the most available<br />

proxy for biodiversity conservation, it cannot and should not replace efforts <strong>to</strong> conserve<br />

genetic diversity and ecosystem diversity and functioning (Baillie et al. 2004, 2).<br />

Table 6: Comparison <strong>of</strong> <strong>approaches</strong> concerning species specific criteria<br />

Species Specific Criteria<br />

Approaches<br />

HCV KBA ERBC FSA REA<br />

A. Threatened X X X X O<br />

B. Endemic X X X – O<br />

C. Congregations X X X – –<br />

D. Keys<strong>to</strong>ne species O – X O O<br />

Key: X = addressed fully – = not addressed O = addressed partially<br />

Source: Own design<br />

In this thesis criterion A (threatened) is based on the definition by the IUCN red list which<br />

describes species vulnerability <strong>to</strong>wards extinction (Baillie et al. 2004, 2).<br />

Criterion B (endemic) refers <strong>to</strong> any species confined <strong>to</strong> a given area (Encyclopaedia<br />

Britannica 2009). A common assumption, shared by both national and global prioritisation<br />

initiatives for determining priority <strong>areas</strong> for conservation based on the occurrence <strong>of</strong><br />

threatened and/ or endemic species, is that these <strong>areas</strong> also prove <strong>to</strong> be effective in<br />

safeguarding most <strong>of</strong> the other species (Bonn et al. 2002, 733).<br />

Criterion C (congregation) refers <strong>to</strong> congregations <strong>of</strong> species during any time <strong>of</strong> their life<br />

cycle and species <strong>with</strong> highly clumped distributions <strong>with</strong>in large ranges (Langhammer et al.<br />

2007, 15). This criterion includes habitats or sites that may not be particularly distinctive in<br />

terms <strong>of</strong> biodiversity, but may still act as critical habitats for either long distance, seasonal or<br />

trans-ecoregional migra<strong>to</strong>ry species (Dinerstein et al. 2000, 18), thus, providing suitable<br />

safeguards for their persistence.<br />

The last criterion in this category, criterion D (keys<strong>to</strong>ne species) refers <strong>to</strong> any species that<br />

exerts a powerful influence on biodiversity in neighbouring habitats and across entire<br />

ecosystems (Dinerstein et al. 2000, 18). Keys<strong>to</strong>ne species have been implied <strong>to</strong> be<br />

29


4. RESULTS<br />

responsible for the type <strong>of</strong> an ecosystem, since their disappearance will cause a change in<br />

the ecosystem type (Khanina 1998, 1). Thus, keys<strong>to</strong>ne species should be specific<br />

conservation targets in order <strong>to</strong> maintain the integrity <strong>of</strong> the communities in which they<br />

reside.<br />

However, since species distribution data is extremely limited <strong>to</strong> a handful <strong>of</strong> well known taxa,<br />

in particular vertebrates and vascular plants and these data sets are frequently riddled <strong>with</strong><br />

large gaps or biases due <strong>to</strong> sampling (The Royal Society 2003, 6; Lombard et al. 2003, 56),<br />

this would suggest that other criteria would be more suited for the identification <strong>of</strong><br />

conservation targets (Brooks et al. 2004, 616). With the improvement <strong>of</strong> remote sensing<br />

technology, maps <strong>of</strong> abiotic information, ecosystems and vegetation classes are being<br />

produced at an increasingly finer resolution (Turner et al. 2003, 306), thus making<br />

ecosystem specific criteria important for the identification <strong>of</strong> conservation targets (Pressey<br />

2004, 1677).<br />

4.1.1.2 Ecosystem Specific Criteria<br />

Table 7 provides an overview <strong>of</strong> the ecosystem specific criteria used by the<br />

<strong>approaches</strong> for site identification and delineation.<br />

Table 7: Comparison <strong>of</strong> <strong>approaches</strong> concerning ecosystem specific criteria<br />

Ecosystem Specific<br />

Criteria<br />

E. Large expanses <strong>of</strong><br />

intact habitat<br />

Approaches<br />

HVC KBA ERBC FSA REA<br />

X – X – –<br />

F. Distinctive ecosystems X – X – X<br />

Key: X = addressed fully – = not addressed<br />

Source: Own design<br />

Empirical research has shown that large <strong>areas</strong> <strong>of</strong> intact natural habitat are extremely<br />

successful in conserving the full range <strong>of</strong> species, habitats, and natural processes. However,<br />

large intact habitats are becoming increasingly rare (Dinerstein et al. 2000, 17). These <strong>areas</strong><br />

contain viable populations <strong>of</strong> most, if not all, naturally occurring species and have been<br />

known <strong>to</strong> contain important sub-populations <strong>of</strong> extremely wide ranging species (HCV<br />

Resource Network 2005-07). These species are exceptionally vulnerable and are<br />

30


4. RESULTS<br />

disappearing rapidly, mainly due <strong>to</strong> habitat destruction (Dinerstein et al. 2000, 18). In<br />

general, habitat destruction and degradation are implicated in the decline <strong>of</strong> over 85% <strong>of</strong> the<br />

world’s mammals, birds and amphibians (Baillie et al. 2004, 86). Hence, the <strong>importance</strong> <strong>of</strong><br />

conserving large expanses <strong>of</strong> habitat has widely been recognised (Bryant et al. 1997, pg 8;<br />

Mittermeier et al. 1998, 516; Sanderson et al. 2002, 893). Even though these <strong>areas</strong> <strong>of</strong>ten do<br />

not support high levels <strong>of</strong> biodiversity (Mittermeier et al. 2003, 10309), they are important for<br />

essential ecosystem services and for supporting ecological and evolutionary processes key<br />

<strong>to</strong> the long term persistence <strong>of</strong> biodiversity (Boakes et al. 2009, 1). Thus, criterion E (large<br />

expanses <strong>of</strong> intact habitat) is an extremely important aspect <strong>of</strong> ecosystem specific criteria<br />

used for site identification <strong>of</strong> biodiversity relevant <strong>areas</strong>.<br />

Criterion F (distinctive ecosystems) refers <strong>to</strong> a functional system that includes an ecological<br />

community <strong>of</strong> organisms <strong>to</strong>gether <strong>with</strong> the physical environment, interacting as a<br />

characteristic unit (The Free Dictionary 2009). Since the term biodiversity describes the<br />

whole expression <strong>of</strong> life from genes <strong>to</strong> species <strong>to</strong> ecological interactions and entire<br />

ecosystems, conservation requirements should include the full range <strong>of</strong> biodiversity. Thus,<br />

<strong>identify</strong>ing complete ecosystems should be an integral part <strong>of</strong> conservation planning<br />

strategies and should ensure a better representation <strong>of</strong> global ecosystems (Dinerstein et al.<br />

2000, 17).<br />

However, the sole use <strong>of</strong> ecosystem specific criteria has resulted in the exclusion <strong>of</strong><br />

conservation targets, <strong>of</strong>ten most in need <strong>of</strong> safeguarding (Araújo et al. 2001, 103; Lombard<br />

et al. 2003, 58). Furthermore, these criteria are normally based on percentage targets<br />

(Brooks et al. 2004, 616) which fail <strong>to</strong> recognise that <strong>areas</strong> <strong>of</strong> higher species richness and<br />

endemism may require higher representation targets (Rodriquez et al. 2003, 1095). Thus,<br />

ideally a mixture <strong>of</strong> both species and ecosystem criteria should be implemented in the<br />

identification phase <strong>to</strong> produce an overall better picture (Pressey 2004, 1677).<br />

Ecosystem and species specific criteria cover the biotic components <strong>of</strong> biodiversity. For<br />

many assessment purposes, it is also extremely important <strong>to</strong> gather data on the socioeconomic<br />

and cultural components <strong>of</strong> biodiversity (CBD 2005, 14).<br />

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4. RESULTS<br />

4.1.1.3 Site Specific Criteria<br />

Therefore, additional criteria for site identification have been implemented by some <strong>of</strong><br />

the <strong>approaches</strong>. Even though these site specific criteria do not play a direct role in<br />

biodiversity conservation (HCV Resource Network 2005-07), they have been mentioned in<br />

this thesis <strong>to</strong> show that some <strong>approaches</strong> do apply a more general and holistic approach <strong>to</strong><br />

<strong>identify</strong>ing biodiversity rich <strong>areas</strong>. These have been listed under the heading, “site specific<br />

criteria” in Table 8.<br />

Table 8: Comparison <strong>of</strong> <strong>approaches</strong> concerning site specific criteria<br />

Approaches<br />

Site specific Criteria<br />

HVC KBA ERBC FSA REA<br />

G. Provision <strong>of</strong><br />

ecosystem services<br />

H. Provision <strong>of</strong> basic<br />

needs<br />

X – X – –<br />

X – – – –<br />

I. Provision <strong>of</strong> traditional<br />

cultural identity<br />

Key: X = addressed fully – = not addressed<br />

Source: Own design<br />

X – – – –<br />

Criterion G (provision <strong>of</strong> ecosystem services) provides benefits <strong>to</strong> human well being<br />

(Millennium Ecosystem <strong>Assessment</strong> 2005a, 2) and therefore, should be maintained,<br />

enhanced or res<strong>to</strong>red (HCV Resource Network 2005-07). Biodiversity plays an important role<br />

in underpinning ecosystem services (Millennium Ecosystem <strong>Assessment</strong> 2005a, ii).<br />

Consequently, the deterioration <strong>of</strong> ecosystems, due <strong>to</strong> an overexploitation <strong>of</strong> ecosystem<br />

services, results in the loss <strong>of</strong> biodiversity (Baillie et al. 2004, xxii) and furthermore, in the<br />

deterioration <strong>of</strong> human well-being (Millennium Ecosystem <strong>Assessment</strong> 2005a, 2). Thus, by<br />

<strong>identify</strong>ing priority <strong>areas</strong> providing ecosystem services, a first step <strong>to</strong>wards conserving<br />

biodiversity is taken.<br />

Criterion H (provision <strong>of</strong> basic needs) recognises that some <strong>areas</strong> are essential for human<br />

well-being by providing food, income or other benefits. By meeting this criterion, the basic<br />

subsistence and security <strong>of</strong> local communities <strong>with</strong>in and surrounding any given area will be<br />

protected (HCV Resource Network 2005-07). Hence, by <strong>identify</strong>ing and delineating any area<br />

meeting this criterion, <strong>with</strong> sustainable management <strong>of</strong> the benefit, the well-being <strong>of</strong> the local<br />

communities, as well as the intactness <strong>of</strong> the area, shall be maintained (Millennium<br />

Ecosystem <strong>Assessment</strong> 2005a, 10). Therefore, biodiversity will indirectly be conserved.<br />

32


4. RESULTS<br />

Criterion I (provision <strong>of</strong> traditional cultural identity) acknowledges that <strong>areas</strong> can be critical<br />

for the cultural identity <strong>of</strong> societies and communities. Thus, <strong>identify</strong>ing and delineating these<br />

<strong>areas</strong> is the first step <strong>to</strong>wards protecting the traditional culture <strong>of</strong> local communities and<br />

thereby maintaining cultural integrity (HCV Resource Network 2005-07).<br />

These three site specific criteria address additional aspects <strong>of</strong> conservation, including socioeconomic<br />

features. By applying a more holistic approach <strong>to</strong> the identification process, it is<br />

hoped for a more successful outcome <strong>of</strong> implementation (Interview Partner K).<br />

None <strong>of</strong> the <strong>approaches</strong> utilizes genetic specific criteria. Despite the well-established theory<br />

regarding genetic structure <strong>of</strong> populations, empirical data is mostly limited <strong>to</strong> a small set <strong>of</strong><br />

species, most commonly related <strong>to</strong> agriculture. Furthermore, continuing assessments over<br />

time and space, which would allow for long term and large scale trends <strong>to</strong> be determined,<br />

are still lacking (Millennium Ecosystem <strong>Assessment</strong> 2005b, 95). Resources for improving our<br />

knowledge <strong>of</strong> species’ genetics will have a huge impact on the future <strong>of</strong> conservation, but<br />

should not be taken from the already scarce resources for management (Gebremedhin et al.<br />

2009, 108). The lack <strong>of</strong> resources is a major reason why large scale databases on genetic<br />

variation are unlikely <strong>to</strong> be established in the foreseeable future. Since conservation planning<br />

requires variables that are easily measured and reliable, genetic specific criteria will<br />

according <strong>to</strong> contemporary scientific research not be included in a conservation approach<br />

any time soon (Lindenmayer and Burgman 2005, 30).<br />

Overall, implementing a mixture <strong>of</strong> species, ecosystem and site specific criteria should<br />

ensure firstly more accurate identification <strong>of</strong> biodiversity relevant sites and secondly greater<br />

implementation success (Pressey 2004, 1677; Interview Partner K).<br />

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4. RESULTS<br />

4.1.2 Explana<strong>to</strong>ry Notes <strong>to</strong> Approach Criteria Comparison<br />

In order for an area <strong>to</strong> be identified and delineated, all <strong>of</strong> the <strong>approaches</strong> require at least one <strong>of</strong><br />

their approach specific criteria <strong>to</strong> be fulfilled. The <strong>approaches</strong>’ criteria used for the identification <strong>of</strong><br />

biodiversity relevant sites have been described (see below). Even though some <strong>of</strong> the<br />

<strong>approaches</strong> address a broader spectrum <strong>of</strong> criteria (i.e. social values, protection values, etc),<br />

these have only been mentioned in the following chapters and will not be discussed any further.<br />

4.1.2.1 High Conservation Value (HCV) Concept<br />

The key <strong>to</strong> using the HCV concept is the identification <strong>of</strong> six High Conservation<br />

Values (HCVs) which are: HCV1 - Areas containing globally, regionally or nationally<br />

significant concentrations <strong>of</strong> biodiversity values (e.g. endemism, endangered species,<br />

refugia); HCV2 - Globally, regionally or nationally significant large landscape-level <strong>areas</strong>,<br />

where viable populations <strong>of</strong> most, if not all, naturally occurring species exist in natural<br />

patterns <strong>of</strong> distribution and abundance; HCV3 - Areas that are in, or contain, rare, threatened<br />

or endangered ecosystems; HCV4 - Areas that provide basic ecosystem services in critical<br />

situations (e.g. watershed protection, erosion control); HCV5 - Areas fundamental <strong>to</strong> meeting<br />

basic needs <strong>of</strong> local communities (e.g. subsistence, health) and HCV6 - Areas critical <strong>to</strong> local<br />

communities’ traditional cultural identity (<strong>areas</strong> <strong>of</strong> cultural, ecological, economic or religious<br />

significance identified in cooperation <strong>with</strong> such local communities) (HCV Resource Network<br />

2005-07).<br />

The species specific criterion, HCV1, addresses criteria A (threatened), B (endemic) and C<br />

(congregations). In addition HCV1 can partially address criterion D (keys<strong>to</strong>ne species), if the<br />

identified species is on the IUCN red list. For instance, the African elephant, jaguar and<br />

prairie dog are all keys<strong>to</strong>ne species that have been included in the IUCN red list (IUCN<br />

2009). Both ecosystem criteria, E (large intact habitats) and F (distinctive ecosystems), are<br />

met by HCV2 and HCV3, respectively and the site specific criteria G (ecosystem services), H<br />

(basic needs) and F (cultural identity) are captured by HCV4, 5 and 6, respectively.<br />

4.1.2.2 Key Biodiversity Areas (KBA) Approach<br />

The KBA approach bases its site identification and prioritisation on the concepts <strong>of</strong><br />

vulnerability and irreplaceability. KBA are selected <strong>with</strong> regard <strong>to</strong> specific species that<br />

require site specific conservation efforts.<br />

Any area will meet the vulnerability criterion if it contains globally significant numbers <strong>of</strong><br />

threatened species according <strong>to</strong> the IUCN red list (Langhammer et al. 2007, 15). Hence,<br />

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4. RESULTS<br />

criterion A (threatened) is captured. The irreplaceability criterion will be met if an area<br />

contains a globally significant concentration <strong>of</strong> a species <strong>to</strong>tal population at some point in<br />

that species’ lifecycle. This addresses several aspects <strong>of</strong> irreplaceability, which is divided<br />

in<strong>to</strong> the sub-criteria: restricted range species; species <strong>with</strong> a large, but clumped distribution;<br />

globally significant congregations and source populations; and bioregionally restricted<br />

assemblages (Eken et al. 2004, 1111; Langhammer et al. 2007, 15). Thus, the criteria B<br />

(endemic and C (congregations) are fulfilled.<br />

For each irreplaceability criterion and sub-criterion, thresholds have been established <strong>to</strong><br />

ensure repeatability in the criteria globally, throughout time and <strong>with</strong> implementation by<br />

different practitioners. However, these designated thresholds are part <strong>of</strong> an iterative process,<br />

accounting for temporal changes (Eken et al. 2004, 1112). E<strong>special</strong>ly, thresholds for marine<br />

and freshwater sites require further testing and refinement (Langhammer et al. 2007, 16).<br />

Based on these measures <strong>of</strong> vulnerability and irreplaceability, any area holding species<br />

meeting the defined criteria will be delineated at a size that is or could be potentially<br />

managed for biodiversity conservation. Thus, KBA status is assigned (Langhammer et al.<br />

2007, 15). Although KBA delineation is done through a biological assessment, the need for a<br />

subsequent socio-economic analysis is crucial for establishing effective <strong>to</strong>ols for biodiversity<br />

conservation (Eken et al. 2004, 1117).<br />

4.1.2.3 Ecoregion-Based Conservation (ERBC) Approach<br />

The ERBC approach bases its site identification and prioritisation on five specific<br />

conservation targets. Throughout implementation, emphasis is placed on representation <strong>with</strong><br />

the concept <strong>of</strong> complementarity adding further rigour <strong>to</strong> the selection process. These five<br />

conservation targets are the minimum that should be aimed for under the ERBC approach.<br />

The first target is ‘distinct communities, habitats and assemblages’. Thus, representative<br />

examples <strong>of</strong> all distinct habitat types and species assemblages over their full natural ranges<br />

<strong>of</strong> variation should be identified as priority conservation targets. These will include <strong>areas</strong> <strong>of</strong><br />

exceptional richness, endemism, higher taxonomic uniqueness, or unusual ecological or<br />

evolutionary phenomena (Dinerstein et al. 2000, 18, 19). Here, the ERBC approach<br />

addresses criteria B (endemic) and G (ecosystem services).<br />

The second target is ‘large intact habitats and intact biotas’, addressing criterion E (large<br />

intact habitats) fully (Dinerstein et al. 2000, 18). Here an example would be <strong>to</strong> establish large<br />

protected <strong>areas</strong> that can support and maintain all viable populations, including wide-ranging<br />

species and <strong>to</strong> link the core <strong>areas</strong> via corridors <strong>of</strong> natural habitats <strong>to</strong> create extensive<br />

35


4. RESULTS<br />

networks (Dinerstein et al. 2000, 20). Additionally, this will conserve genetic variation<br />

(Lindenmayer and Burgman 2005, 31).<br />

The third conservation target is ‘keys<strong>to</strong>ne ecosystems, habitats, species and phenomena’,<br />

since certain habitats may influence biodiversity in neighbouring habitats and across entire<br />

ecosystems. Thus, their persistence and intact ecological functioning may be critical for<br />

species and ecological processes in the surrounding <strong>areas</strong> (Dinerstein et al. 2000, 18).<br />

Examples include riparian habitats for flood and erosion control (criterion G – ecosystem<br />

services), species such as elephant or beaver (criterion D – keys<strong>to</strong>ne species) and<br />

phenomena such as natural fires (Dinerstein et al. 2000, 18, 19, 20). Here, criterion E and G<br />

are fully addressed.<br />

The fourth target is ‘distinct large-scale ecological phenomena’ which refers <strong>to</strong> important<br />

targets extending beyond the ecoregion. Examples include <strong>areas</strong> essential <strong>to</strong> either long<br />

distance, seasonal or trans-ecoregional migration <strong>of</strong> species. These sites are not necessarily<br />

<strong>of</strong> high distinctiveness, but their intactness will provide stepping s<strong>to</strong>nes for migra<strong>to</strong>ry species<br />

(Dinerstein et al. 2000, 18), such as birds, bats and monarch butterflies (Dinerstein et al.<br />

2001, x, 35, 37). Thus, criterion C (congregations) is captured.<br />

The fifth and final conservation target <strong>of</strong> the ERBC approach is ‘species <strong>of</strong> <strong>special</strong> concern’<br />

which may include species heavily hunted, depleted in numbers or <strong>special</strong>ised in their<br />

habitat requirements. Conservation plans must take in<strong>to</strong> account strict protection <strong>of</strong> these<br />

populations which may include rare, threatened or endemic species (Dinerstein et al. 2000,<br />

18, 19, 20). Thus, criteria A (threatened) and B (endemic) have been fully captured.<br />

Even though an ERBC approach does not in itself address social and cultural issues, it does<br />

emphasise the need for a subsequent socio-economic analysis (Dinerstein et al. 2000, 11)<br />

ERBC is exceptionally comprehensive and representative in terms <strong>of</strong> trying <strong>to</strong> capture and<br />

maximise the different scales and different conservation targets <strong>of</strong> biodiversity. It is a<br />

representative approach as it addresses several scales: species level, natural communities<br />

and biophysical level. It is, therefore, extremely successful in delineating important ecological<br />

processes and whole ecosystems (Interview Partner I).<br />

4.1.2.4 Focal Species Approach (FSA)<br />

The FSA is not based on either ecosystem or site specific criteria. It is a taxon<br />

based surrogate scheme where a suite <strong>of</strong> focal species is presumed <strong>to</strong> act collectively for<br />

other elements <strong>of</strong> biota (Lindenmayer et al. 2002, 338). The identification <strong>of</strong> the set <strong>of</strong> focal<br />

species and the subsequent site identification rely on an entirely different methodology.<br />

Firstly, all species considered at risk are identified and then distinguished between species<br />

requiring res<strong>to</strong>ration activities and those requiring changes in management strategies.<br />

36


4. RESULTS<br />

Species requiring the reconstruction <strong>of</strong> the landscape will either be resource-limited,<br />

dispersal-limited or area-limited. These species are at least locally, if not regionally or<br />

globally threatened and thus, capture criterion A (threatened).<br />

For resource-limited species, the number <strong>of</strong> individuals the area can support is determined<br />

by the carrying capacity at the time <strong>of</strong> lowest resource availability. Therefore, any res<strong>to</strong>ration<br />

activity should aim <strong>to</strong> increase the local carrying capacity. Patches sustaining small<br />

populations, but which are separated so that no movement <strong>of</strong> these populations is permitted,<br />

contain dispersal-limited species. To ensure their persistence, such species will require<br />

habitat patch connectivity or reduction <strong>of</strong> the threat between patches, thereby enabling<br />

movement (Lambeck 1997, 852).<br />

Area-limited species are those for which habitat patches are <strong>to</strong>o small <strong>to</strong> either support a<br />

breeding pair or a functional social group. This group <strong>of</strong> species can further be subdivided<br />

in<strong>to</strong> the major habitat groups that exist <strong>with</strong>in the area <strong>of</strong> interest.<br />

In contrast, species requiring changes in management strategies will vary, depending on the<br />

area, as the threats and their relative <strong>importance</strong> will also differ. These species have been<br />

termed process-limited (Lambeck 1997, 852).<br />

Each species considered at risk is allocated <strong>to</strong> at least one <strong>of</strong> the four main threat<br />

categories, resource-limited, dispersal-limited, area-limited and process-limited, as described<br />

above. The species in each threat category are then ranked according <strong>to</strong> their vulnerability<br />

<strong>to</strong>wards that threat. The species most sensitive <strong>to</strong>, or most dependent upon, a given process<br />

is termed the focal species, in order <strong>to</strong> determine the intensity, rate or frequency at which<br />

that process should be managed. This will result in a list <strong>of</strong> species, the focal community that<br />

can be used <strong>to</strong> determine different attributes required for the persistence <strong>of</strong> all biota <strong>with</strong>in<br />

the landscape (Lambeck 1997, 853).<br />

This focal community defines the minimum area <strong>of</strong> each patch type, the minimum width,<br />

length and structure <strong>of</strong> connecting vegetation, the appropriate levels <strong>of</strong> critically limiting<br />

resources and the minimum rate or intensity <strong>of</strong> each potentially threatening process. The<br />

needs <strong>of</strong> the set <strong>of</strong> focal species can be used <strong>to</strong> determine the minimum requirements or<br />

thresholds that must be exceeded if the needs <strong>of</strong> all biota are <strong>to</strong> be met (Lambeck 1997,<br />

853). Some keys<strong>to</strong>ne species might be included <strong>with</strong>in one <strong>of</strong> the four groups, whereas<br />

others might not (Noss et al. 1997, 119). Thus, criterion D has partially been captured by the<br />

FSA.<br />

37


4. RESULTS<br />

4.1.2.5 Rapid Ecological <strong>Assessment</strong> (REA)<br />

The main objective <strong>of</strong> a REA is <strong>to</strong> efficiently characterize the landscape and<br />

species level biodiversity <strong>of</strong> large <strong>areas</strong> for which relatively little is known (Interview Partner<br />

I; Sayre et al. 2000, 33, 81). Therefore, the need for a REA depends on the amount <strong>of</strong><br />

available data for the area under consideration and the urgency <strong>of</strong> obtaining new information<br />

for <strong>areas</strong>, habitats and species distributions. Marginally surveyed or un-surveyed <strong>areas</strong>, such<br />

as large, poorly unders<strong>to</strong>od and highly threatened <strong>areas</strong>, are best suited for this application,<br />

e<strong>special</strong>ly when the lack <strong>of</strong> data prevents sound conservation planning (Sayre et al. 2000,<br />

33, 34). Biological information obtained during a REA has, in the past, been used for<br />

numerous activities, such as the identification <strong>of</strong> important ecological sites or <strong>special</strong><br />

conservation <strong>areas</strong> and defining ecologically based boundaries, amongst several other<br />

schemes (Sayre et al. 2000, 34).<br />

The REA normally adopts a coarse filter-fine filter approach, <strong>with</strong> the coarse filter<br />

concentrating on vegetation types and the fine filter on the conservation <strong>of</strong> species (Sayre et<br />

al. 2000, 6). The vegetation fieldwork prioritises the sampling <strong>of</strong> rare and complex vegetation<br />

types based on endemism, representativeness and degree <strong>of</strong> fragmentation (Sayre et al.<br />

2000, 82). Since the unit <strong>of</strong> an ecosystem can be characterised by species composition<br />

(Millennium Ecosystem <strong>Assessment</strong> 2005b, 82), <strong>identify</strong>ing rare vegetation types as<br />

priorities is taken as meeting criterion F (distinctive ecosystem).<br />

Even though species specific criteria do not directly steer a REA, species that are rare,<br />

threatened, endangered or endemic, as well as keys<strong>to</strong>ne species can also be identified as<br />

part <strong>of</strong> this assessment (Sayre et al. 2000, 89, 97). Thus, criterion A (threatened), B<br />

(endemic) and D (keys<strong>to</strong>ne species) are partially captured, as they may form part <strong>of</strong><br />

<strong>identify</strong>ing conservation targets (Sayre et al. 2000, 97). The information obtained during the<br />

fine filter flora and fauna surveys can be used <strong>to</strong> prioritise sites and inform conservation<br />

based management planning (Sayre et al. 2000, 89). The remaining REA does not rely on<br />

any <strong>of</strong> the other approach criteria listed above in Tables 7 and 8.<br />

38


4. RESULTS<br />

4.1.3 Interim Summary I<br />

It is now widely accepted that different biodiversity surrogates (i.e. different approach criteria)<br />

have different advantages and disadvantages. Thus, <strong>with</strong> this knowledge, divergent courses<br />

can be taken (Pressey 2004, 1677). Some conservation planners rely on species specific<br />

criteria, whilst others prefer ecosystem specific criteria (Pressey 2004, 1677) and still others<br />

have taken again a different course, relying on a mixture <strong>of</strong> criteria for identification<br />

purposes (HCV Resource Network 2005-07; Dinerstein et al. 2000, 17, 18). All surrogates<br />

are limited in their outline <strong>of</strong> biodiversity processes and patterns, therefore a more<br />

comprehensive array <strong>of</strong> criteria produces a better picture (Pressey 2004, 1677).<br />

The comparison <strong>of</strong> the <strong>approaches</strong>’ site identification criteria showed that some <strong>of</strong> the<br />

selected <strong>approaches</strong> employ a range <strong>of</strong> criteria for site identification, as can be seen in<br />

Figure 6.<br />

Figure 6: Overview <strong>of</strong> criteria adopted for site identification 26<br />

Approach’s Site<br />

Identification<br />

Criteria<br />

Species specific<br />

criteria<br />

All <strong>approaches</strong><br />

Ecosystem<br />

specific criteria<br />

HCV<br />

ERBC<br />

(REA)<br />

Site specific<br />

criteria<br />

HCV<br />

(ERBC)<br />

Source: Own design<br />

26 Brackets indicate that the grouped criteria were only partially addressed.<br />

39


4. RESULTS<br />

Species specific criteria are most commonly adopted for the identification <strong>of</strong> sites important<br />

for biodiversity conservation. All <strong>approaches</strong> implement the majority <strong>of</strong> criteria grouped under<br />

this heading. One advantage <strong>of</strong> using species specific criteria is that the success <strong>of</strong> the<br />

conservation effort is easier <strong>to</strong> measure (Mace et al. 2006, 18). Species data, either through<br />

direct counts <strong>of</strong> indica<strong>to</strong>r species (Balmford et al. 2005, 212) or through assessments <strong>of</strong><br />

threat (Butchart et al. 2004, 2), provide easier moni<strong>to</strong>ring systems for measuring<br />

effectiveness 27 . In practice, conservation <strong>approaches</strong> <strong>of</strong>ten direct conservation action<br />

<strong>to</strong>wards species and communities, as these are firstly manageable and comprehensible<br />

components <strong>of</strong> biodiversity and secondly, <strong>of</strong>ten hold more appeal <strong>with</strong> the general public<br />

(Mace et al. 2006, 18).<br />

Ecosystem specific criteria are employed by the HCV concept and the ERBC approach. The<br />

REA was added in brackets as it only employs criterion F (distinctive ecosystems). On the<br />

one hand, these criteria tend <strong>to</strong> loose precision. On the other hand, data is more readily<br />

available and consistent than species specific data. Furthermore, ecosystem specific criteria<br />

are able <strong>to</strong> integrate ecological processes and thus contribute <strong>to</strong> the maintenance <strong>of</strong><br />

ecosystem functioning (Margules and Pressey 2000, 245).<br />

The HCV concept is the only one that implements all three criteria listed in the site specific<br />

criteria group. The ERBC approach only implements criterion H (provision <strong>of</strong> ecosystem<br />

services) and thus, has only been added in brackets in Figure 6. For successful<br />

implementation, biological priorities must also be integrated <strong>with</strong> socio-economic<br />

considerations (CBD 2005, 14; Mace et al. 2000, 393), however, these evaluations, as part<br />

<strong>of</strong> a biological assessment, are still in their “infancy stages” (Mace 2000, 393).<br />

Although <strong>approaches</strong> based purely on ecosystem specific criteria are critical for<br />

conservation, they are not a replacement for <strong>approaches</strong> based on species specific criteria<br />

and vice versa (Millennium Ecosystem <strong>Assessment</strong> 2005a, 11). There is no best surrogate.<br />

The choice <strong>of</strong> criteria should depend on data and resource availability. In the majority <strong>of</strong><br />

situations a combination <strong>of</strong> criteria is most practical (Margules and Pressey 2000, 246;<br />

Pressey 2004, 1677).<br />

Judging from the approach criteria used for site identification, the HCV concept is the most<br />

extensive in terms <strong>of</strong> the broad variety it employs. This is followed closely by the ERBC<br />

approach, the REA and then the KBA approach. The FSA must be viewed separately, as it<br />

relies on a completely different set <strong>of</strong> criteria, all <strong>of</strong> which are species based.<br />

27 Please refer <strong>to</strong> chapter 7, General Terms, for a detailed explanation.<br />

40


4. RESULTS<br />

4.2 Strength-Weakness Analysis (SWA)<br />

In order <strong>to</strong> assess the selected <strong>approaches</strong> 28 used <strong>to</strong> <strong>identify</strong> biodiversity relevant <strong>areas</strong> a<br />

strength-weakness analysis was performed based on a predetermined set <strong>of</strong> key questions,<br />

criteria and sub-criteria 29 . These indica<strong>to</strong>rs were divided in<strong>to</strong> thematic groups 30 <strong>to</strong> provide a<br />

clear orientation <strong>to</strong> the reader concerning the <strong>approaches</strong>’ inherent qualities.<br />

The selected <strong>approaches</strong> are the High Conservation Value (HCV) concept, the Key<br />

Biodiversity Areas (KBA) approach, the Ecoregion-Based Conservation (ERBC) approach,<br />

the Focal Species Approach (FSA) and the Rapid Ecological <strong>Assessment</strong> (REA).<br />

For the strength-weakness analysis 31 the Groups I (Ecology), II (Implementation) and IV<br />

(Supplementary) were assessed. This entails criteria A-F and J-M 32 , as shown in Figure 7<br />

(see next page).<br />

Supported by argumentative reasoning 33 the <strong>approaches</strong> were classified according <strong>to</strong> very<br />

weak (--), weak (-), average (O), strong (+) and very strong (++) for each key question <strong>with</strong>in<br />

the respective groups. Hence, a strength-weakness pr<strong>of</strong>ile could be determined for each<br />

approach based on the Groups I, II and IV.<br />

28 Please refer <strong>to</strong> chapter 3.2, Rational behind Approach Selection, for more detail.<br />

29 Please refer <strong>to</strong> the chapter 2.2.2 for an overview <strong>of</strong> all key questions, criteria and sub-criteria.<br />

30 Please refer <strong>to</strong> chapter 2.2.1.1 for an explanation <strong>to</strong> the thematic group divisions.<br />

31 Please refer <strong>to</strong> chapter 2.2.6, Strength-Weakness Analysis, for the exact methodological<br />

description.<br />

32 Please refer chapter 2.2.2, Design <strong>of</strong> <strong>Assessment</strong> Methodology, for an explanation.<br />

33 Please refer <strong>to</strong> Appendix A1 for the argumentative reasoning which enabled a classification <strong>of</strong> the<br />

results.<br />

41


4. RESULTS<br />

Figure 7: Overview <strong>of</strong> criteria assessment: focus on strength-weakness analysis<br />

Strength-Weakness Analysis Ranking No <strong>Assessment</strong> Possible<br />

Group Criteria Group Criteria<br />

Group<br />

Criteria<br />

I. Ecology<br />

A. Addressed<br />

Biodiversity Levels<br />

B. Addressed<br />

Ecosystem Types<br />

III. Input<br />

G. Methods for<br />

Site Choice<br />

H. Required<br />

Res ources<br />

I. Data<br />

Requirements<br />

V. Effectiveness<br />

N. Conserved<br />

Species<br />

O. Protected<br />

Area<br />

C. Geographic<br />

Scale <strong>of</strong> Applicability<br />

D. Level <strong>of</strong> Approach<br />

II. Implementation<br />

E. Implementation<br />

Style<br />

F. Suitability for<br />

Different Users<br />

IV. Supplementary<br />

J. Possibility <strong>of</strong><br />

Scoping <strong>Assessment</strong><br />

K. Consideration <strong>of</strong><br />

Threats/ Ris ks<br />

L. Moni<strong>to</strong>ring<br />

Rec ommendations<br />

M. Management<br />

Recommendations<br />

Source: Own design<br />

42


4. RESULTS<br />

4.2.1 Overview: Strength-Weakness Analysis Criteria <strong>Assessment</strong> Results<br />

The argumentative reasoning and subsequent summary in<strong>to</strong> tabular form enabled the<br />

<strong>approaches</strong> <strong>to</strong> be classified according <strong>to</strong> a more differentiated scale expressed in five<br />

different degrees <strong>of</strong> strong and weak (very weak (--), weak (-), average (0), strong (+) and<br />

very strong (++)) 34 .<br />

Table 9 (see next page) provides an overview <strong>of</strong> these detailed results 35 . The classification <strong>of</strong><br />

the <strong>approaches</strong> is shown individually for each key question, therefore enabling a direct<br />

comparison between them. The overview indicates a clear differentiation <strong>of</strong> the key<br />

questions in Group I (Ecology) and II (Implementation), whereas the outcome for the key<br />

questions in Group IV (Supplementary) shows much less variation. Therefore Group I and II<br />

enable a clear division <strong>of</strong> the <strong>approaches</strong>.<br />

34 Please refer <strong>to</strong> chapter 2.2.6 for a detailed explanation and Appendix A1 for the argumentative<br />

reasoning.<br />

35 Please refer <strong>to</strong> chapter 4.2.2 for the individual strength-weakness pr<strong>of</strong>iles and Appendix A5 for the<br />

detailed assessment results. Furthermore, an overall summary <strong>of</strong> the strength-weakness analysis<br />

results is also provided in chapter 4.4.<br />

43


4. RESULTS<br />

Table 9: Overview: <strong>approaches</strong> according <strong>to</strong> SWA criteria assessment 36<br />

Group Criteria Sub-criteria HCV KBA ERBC FSA REA<br />

I. Ecology<br />

II.<br />

Implementation<br />

A. Addressed<br />

biodiversity levels<br />

B. Addressed<br />

ecosystem types<br />

C. Geographic<br />

scale <strong>of</strong><br />

applicability<br />

D. Level <strong>of</strong><br />

approach<br />

genetic diversity (C1)<br />

species diversity (C2)<br />

ecosystem diversity<br />

(C3) 37<br />

terrestrial (C4)<br />

aquatic (C5)<br />

local (C6)<br />

regional (C7)<br />

global (C8)<br />

private sec<strong>to</strong>r level<br />

(C9)<br />

public sec<strong>to</strong>r level<br />

(C10)<br />

++<br />

C2 and C3<br />

fully<br />

addressed and<br />

C1 indirectly<br />

addressed<br />

-<br />

C4 is partially<br />

addressed and<br />

C5 not<br />

addressed<br />

+<br />

C6 and C8<br />

addressed<br />

fully; C7<br />

partially<br />

addressed<br />

+<br />

C9 addressed<br />

fully; C10<br />

addressed<br />

partially<br />

0<br />

C2 fully<br />

addressed; C1<br />

addressed<br />

indirectly and<br />

C3 not<br />

addressed<br />

+<br />

C4 fully<br />

addressed and<br />

C5 indirectly<br />

0<br />

C6 and C7 fully<br />

partially; C8<br />

addressed fully<br />

+<br />

C9 addressed<br />

partially and<br />

C10 addressed<br />

fully<br />

++<br />

C2 and C3 fully<br />

addressed and<br />

C1 partially<br />

addressed<br />

++<br />

C4 and C5 fully<br />

addressed<br />

++<br />

C7 and C8 fully<br />

addressed and<br />

C6 indirectly<br />

+<br />

C9 addressed<br />

partially; C10<br />

addressed fully<br />

-<br />

C2 addressed;<br />

C2 and C3 not<br />

addressed<br />

0<br />

C4 is fully<br />

addressed and<br />

C5 not<br />

addressed<br />

+<br />

C6, C8 fully<br />

and C7 not<br />

addressed<br />

++<br />

C9 and C10<br />

both fully<br />

addressed<br />

+<br />

C2 and C3 fully<br />

addressed; C1<br />

not addressed<br />

++<br />

C4 and C5 fully<br />

addressed<br />

++<br />

C6, C7 and C8<br />

fully addressed<br />

++<br />

C9 and C10<br />

both fully<br />

addressed<br />

36 Approaches were defined as very weak (--), weak (-), average (0), strong (+) or very strong (++) for each key question and criteria.<br />

37 It should be noted that ecosystem diversity refers <strong>to</strong> the number <strong>of</strong> different ecosystems. Due <strong>to</strong> the scope <strong>of</strong> this thesis a more in depth analysis <strong>of</strong> the<br />

various levels <strong>of</strong> biodiversity, by including ecosystem functioning, was not possible.<br />

44


4. RESULTS<br />

Group Criteria Sub-criteria HCV KBA ERBC FSA REA<br />

II.<br />

Implementation<br />

(continued)<br />

IV.<br />

Supplementary<br />

Source: Own design<br />

E. Implementation<br />

style<br />

F. Suitability for<br />

intended users<br />

J. Scoping<br />

assessment<br />

K. Consideration<br />

<strong>of</strong> threats<br />

L. Moni<strong>to</strong>ring<br />

recommendations<br />

M. Management<br />

recommendations<br />

<strong>to</strong>p-down (C11)<br />

bot<strong>to</strong>m-up (C12)<br />

international experts<br />

(C13)<br />

national experts (C14)<br />

local user groups<br />

(C15)<br />

required resources<br />

(C26)<br />

required time (C27)<br />

internal (C28)<br />

external (C29)<br />

moni<strong>to</strong>ring<br />

recommendations<br />

(C30)<br />

management<br />

recommendations<br />

(C31)<br />

++<br />

C11 and C12<br />

fully<br />

addressed<br />

++<br />

C13, C14 and<br />

C15 are<br />

addressed<br />

fully<br />

++<br />

C26 and C27<br />

fully<br />

addressed<br />

++<br />

C28 and C29<br />

fully<br />

addressed<br />

++<br />

C30 is fully<br />

addressed<br />

++<br />

C31 is fully<br />

addressed<br />

0<br />

C11 and C12<br />

addressed<br />

partially<br />

+<br />

C13 and C14<br />

fully addressed;<br />

C15 partially<br />

addressed<br />

-<br />

C26 and C27<br />

not<br />

determinable,<br />

<strong>with</strong> an inherent<br />

weakness<br />

++<br />

C28 and C29<br />

fully addressed<br />

++<br />

C30 is fully<br />

addressed<br />

++<br />

C31 is fully<br />

addressed<br />

++<br />

C11 and C12<br />

fully addressed<br />

++<br />

C13, C14 and<br />

C15 are<br />

addressed fully<br />

++<br />

C26 and C27<br />

fully addressed<br />

++<br />

C28 and C29<br />

fully addressed<br />

++<br />

C30 is fully<br />

addressed<br />

++<br />

C31 is fully<br />

addressed<br />

++<br />

C11 and C12<br />

addressed<br />

fully<br />

-<br />

C14<br />

addressed<br />

fully; C13 and<br />

C15 not<br />

addressed<br />

0<br />

C26 and C27<br />

not<br />

determinable<br />

++<br />

C28 and C29<br />

fully<br />

addressed<br />

++<br />

C30 is fully<br />

addressed<br />

++<br />

C31 is fully<br />

addressed<br />

++<br />

C11 and C12<br />

fully addressed<br />

++<br />

C13, C14 and<br />

C15 are<br />

addressed fully<br />

++<br />

C26 and C27<br />

fully addressed<br />

++<br />

C28 and C29<br />

fully addressed<br />

++<br />

C30 is fully<br />

addressed<br />

++<br />

C31 is fully<br />

addressed<br />

45


4. RESULTS<br />

4.2.2 Strength-Weakness Pr<strong>of</strong>iles <strong>of</strong> Selected Approaches<br />

The assessed <strong>approaches</strong>’ strength-weakness pr<strong>of</strong>iles 38 were produced from the<br />

classification according <strong>to</strong> a differentiated scale expressed as five degrees <strong>of</strong> strong and<br />

weak (very weak (--), weak (-), average (0), strong (+) and very strong (++)) for each key<br />

question and their respective criteria 39 .<br />

Figure 8 shows an example <strong>of</strong> the strength-weakness pr<strong>of</strong>ile pattern used in this thesis.<br />

Figure 8: Example <strong>of</strong> strength-weakness pr<strong>of</strong>ile scheme<br />

Group<br />

I. Ecology<br />

Criteria<br />

A. Addressed<br />

Biodiversity levels<br />

B. Addressed<br />

ecosystem types<br />

C. Geographic<br />

scale <strong>of</strong> applicability<br />

very<br />

weak<br />

(--)<br />

w eak<br />

(-)<br />

average<br />

(0)<br />

strong<br />

(+)<br />

very<br />

strong<br />

(++)<br />

II.<br />

Implementation<br />

D. Level <strong>of</strong> approach<br />

E. Implementation style<br />

F. Suitability for<br />

intended users<br />

J. Possibility <strong>of</strong> scoping<br />

assessment<br />

IV.<br />

Supplementary<br />

K. Consideration <strong>of</strong><br />

threats<br />

L. Moni<strong>to</strong>rin g<br />

recommendations<br />

Source: Own Design<br />

M. Management<br />

recommendations<br />

The following chapters show separate strength-weakness pr<strong>of</strong>iles (Figures 9-13) for each<br />

assessed approach. Furthermore, an individual explanation and interpretation <strong>of</strong> the results<br />

is <strong>of</strong>fered <strong>to</strong> the reader.<br />

38 For more detailed information <strong>to</strong> the individual pr<strong>of</strong>iles, please refer <strong>to</strong> Appendix A5.<br />

39 Please refer <strong>to</strong> Appendix A1 for the argumentative reasoning behind the classification scheme.<br />

46


4. RESULTS<br />

4.2.2.1 Pr<strong>of</strong>ile <strong>of</strong> High Conservation Value (HCV) Concept<br />

Since the aim <strong>of</strong> this thesis was <strong>to</strong> compare contemporary <strong>approaches</strong> used for<br />

<strong>identify</strong>ing biodiversity relevant sites <strong>to</strong> the HCV concept, the core analysis started by<br />

showing the results obtained for the HCV approach, as can be seen in Figure 9.<br />

Figure 9: HCV strength-weakness pr<strong>of</strong>ile<br />

Group<br />

Criteria<br />

very<br />

weak<br />

(--)<br />

w eak<br />

(-)<br />

average<br />

(0)<br />

strong<br />

(+)<br />

very<br />

strong<br />

(++)<br />

I. Ecology<br />

A. Addressed<br />

Biodiversity levels<br />

B. Addressed<br />

ecosystem types<br />

C. Geographic<br />

scale <strong>of</strong> applicability<br />

II.<br />

Implementation<br />

D. Level <strong>of</strong> approach<br />

E. Implementation style<br />

F. Suitability for<br />

intended users<br />

J. Possibility <strong>of</strong> scoping<br />

assessment<br />

IV.<br />

Supplementary<br />

K. Consideration <strong>of</strong><br />

threats<br />

L. Moni<strong>to</strong>rin g<br />

recommendations<br />

Source: Own design<br />

M. Management<br />

recommendations<br />

In Group I (Environmental), the HCV concept scored very strong for criterion A<br />

(addressed biodiversity levels), as both species diversity and ecosystem diversity are<br />

addressed fully (Jennings et al. 2003, 2) and genetic diversity is indirectly maintained in<br />

HCV2 40 . These maintain viable populations and thus, allow for genetic variation <strong>to</strong> be<br />

conserved (Lindenmayer and Burgman 2005, 31). Criterion B (addressed ecosystem<br />

types) was classified as weak, since the sub-criterion, terrestrial, is only partially met<br />

and the sub-criterion, aquatic, not at all. The concept was designed for forests and even<br />

though it can be adapted <strong>to</strong> other ecosystems, widespread implementation is still lacking<br />

(Jennings et al. 2003, 1, Lindhe 2005-07, 1). Furthermore, aquatic ecosystems cannot<br />

be assessed by the concept, yet (Lindhe 2005-07, 2).<br />

40 The generic HCV definitions are described in chapter 4.1.2.1.<br />

47


4. RESULTS<br />

In Group II (Implementation), the HCV concept was classified strong for the criterion C<br />

(geographic scale <strong>of</strong> applicability). Here the sub-criterion, regional, shows an<br />

apparent weakness. Even though this concept has also been implemented for<br />

conservation purposes at a regional scale, excluded from the FSC, in this context, it will<br />

result in smaller <strong>areas</strong> being set aside for conservation, than would be the case under<br />

conventional conservation planning <strong>to</strong>ols (Interview Partner E). Therefore, applied in this<br />

manner, small islands <strong>of</strong> protected <strong>areas</strong> 41 surrounded by large <strong>areas</strong> <strong>of</strong> development<br />

will be created (Colchester 2005-07, 2). This is an inherent weakness. Hence, the subcriterion,<br />

regional, can only be partially met. Criterion D (level <strong>of</strong> approach) scored a<br />

strong, as the HCV concept attempts <strong>to</strong> <strong>identify</strong> the smallest possible area necessary <strong>to</strong><br />

be set-aside in order <strong>to</strong> save the last threatened area or species. Thus, for the public<br />

sec<strong>to</strong>r level, more traditional conservation planning <strong>approaches</strong> would be better suited,<br />

as these <strong>identify</strong> the largest possible set-aside <strong>areas</strong> 41 (Interview Partner E). In contrast,<br />

criteria E (implementation style) and F (suitability for different users) were both<br />

classified as very strong. For criterion E, the concept adopts a combination <strong>of</strong> <strong>to</strong>p-down<br />

and bot<strong>to</strong>m-up (Interview Partner D) and all three sub-criteria for criterion F are<br />

addressed fully (Interview Partner D) 42 .<br />

In Group IV, (Supplementary), the HCV concept was assigned a very strong<br />

classification for criteria J <strong>to</strong> M. All sub-criteria, as per definition, are fully addressed. Part<br />

<strong>of</strong> the HCV scoping assessment is the implementation <strong>of</strong> a pilot study. This is seen as a<br />

rapid assessment <strong>to</strong> determine whether HCVs are present or not (Pr<strong>of</strong>orest 2005-07, 12;<br />

Pollard 2005, 1). The fieldwork for this assessment can be completed <strong>with</strong>in 2 days<br />

(Pollard 2005, 1). However, if HCVs have been identified during this stage, a full<br />

assessment will always be necessary <strong>to</strong> determine the status and <strong>to</strong> propose<br />

management and moni<strong>to</strong>ring plans and strategies (Pr<strong>of</strong>orest 2005-07, 12).<br />

This analysis produced a strong <strong>to</strong> very strong classification for the majority <strong>of</strong> key questions<br />

for the HCV concept. This result coincides <strong>with</strong> its increasing popularity amongst<br />

practitioners from different industries and <strong>with</strong> the results obtained from the expert<br />

interviews 43 .<br />

41 Please refer <strong>to</strong> chapter 7, General Terms, for a definition <strong>of</strong> protected area which has been used<br />

synonymously <strong>with</strong> set-aside area in this thesis.<br />

42 Please refer <strong>to</strong> Appendix A5-1 for more detailed information.<br />

43 An overview <strong>of</strong> all approach pr<strong>of</strong>iles can be seen in chapter 4.2.3, Interim Summary II. The<br />

comparison there<strong>of</strong> <strong>with</strong> an overall result for the entire assessment is shown in chapter 4.4,<br />

Summary.<br />

48


4. RESULTS<br />

4.2.2.2 Pr<strong>of</strong>ile <strong>of</strong> Key Biodiversity Areas (KBA) Approach<br />

In terms <strong>of</strong> KBA approach’s objectives, scale and criteria it addresses, it contrast<br />

strongly <strong>to</strong> the HCV concept. The results obtained for this approach during the strengthweakness<br />

analysis can be seen in the following figure.<br />

Figure 10: KBA strength-weakness pr<strong>of</strong>ile<br />

Group<br />

Criteria<br />

very<br />

weak<br />

(--)<br />

w eak<br />

(-)<br />

average<br />

(0)<br />

strong<br />

(+)<br />

very<br />

strong<br />

(++)<br />

I. Ecology<br />

A. Addressed<br />

Biodiversity levels<br />

B. Addressed<br />

ecosystem types<br />

C. Geographic<br />

scale <strong>of</strong> applicability<br />

II.<br />

Implementation<br />

D. Level <strong>of</strong> approach<br />

E. Implementation style<br />

F. Suitability for<br />

intended users<br />

J. Possibility <strong>of</strong> scoping<br />

assessment<br />

IV.<br />

Supplementary<br />

K. Consideration <strong>of</strong><br />

threats<br />

L. Moni<strong>to</strong>rin g<br />

recommendations<br />

Source: Own design<br />

M. Management<br />

recommendations<br />

In Group I (Environmental), the KBA approach was classified as average for criterion A<br />

(addressed biodiversity levels), since only the species diversity sub-criterion is fully<br />

met. Ecosystem diversity is not addressed, as the process does not aim <strong>to</strong> <strong>identify</strong> rare,<br />

threatened or endangered ecosystems and genetic diversity is addressed indirectly.<br />

Considering that KBA are large enough and sufficiently interconnected <strong>to</strong> support viable<br />

populations (Eken et al. 2004, 1111), genetic variation is indirectly conserved<br />

(Lindenmayer and Burgman 2005, 31). The KBA criteria were established <strong>to</strong> be applied<br />

across all biogeographic regions consistently and easily (Eken et al. 2004, 1111,<br />

Langhammer et al. 2007, xiii). Thus, the approach has been designed for implementation<br />

in all ecosystem types. However, further testing and refinement <strong>of</strong> criteria for marine and<br />

freshwater environments are required (Langhammer et al. 2007, 16). Due <strong>to</strong> this inherent<br />

49


4. RESULTS<br />

weakness the sub-criterion, aquatic ecosystems, is only addressed partially, and<br />

criterion B (addressed ecosystem types) therefore scored a strong.<br />

In Group II (Implementation), criterion C (geographic scale <strong>of</strong> applicability) was<br />

assigned an average classification, since the sub-criteria regional and local are only<br />

partially met. KBA are identified at a national level 44 <strong>with</strong> site-scale implementation<br />

(Langhammer et al. 2007, xiii). However, since the criteria thresholds (species based)<br />

are all set globally (Knight et al. 2007, 258; Langhammer et al. 2007, xiii), the<br />

identification <strong>of</strong> KBA, at a regional or local level, may result in significant omission and<br />

commission errors. This is caused by a lack <strong>of</strong> resolution, resulting in an inaccuracy <strong>to</strong><br />

assess conservation values at regional or local scales (Knight et al. 2007, 258). In<br />

addition, this resolution shortcoming has presented problems in prioritising KBA,<br />

e<strong>special</strong>ly in countries <strong>with</strong> high concentrations <strong>of</strong> biodiversity. Here any area could be<br />

assigned a KBA status (Interview Partner G). For criterion D (level <strong>of</strong> approach), the<br />

sub-criterion, private sec<strong>to</strong>r level, is partially captured. Even though the approach was<br />

not designed for implementation at this level, it does provide the private sec<strong>to</strong>r <strong>with</strong> a<br />

powerful watch list for <strong>identify</strong>ing sites not suitable for development (Interview Partner<br />

M). Thus, it was classified as strong. In contrast, criterion E (implementation style) only<br />

scored an average. As per definition, the sub-criterion, <strong>to</strong>p-down, is fully met, since the<br />

KBA approach strictly adherences <strong>to</strong> globally set thresholds (Eken et al. 2004, 1112;<br />

Langhammer et al. 2007, 18, 20). However, inherent weakness were identified. This rigid<br />

adherence <strong>to</strong> the globally set criteria causes difficulties in defining priority regions<br />

(Interview Partner G) and may result in omission and commission errors (Knight et al.<br />

2007, 258). For the bot<strong>to</strong>m-up sub-criterion, KBA identification occurs at the national and<br />

only sometimes at the local level (Interview Partner M). Thus, both sub-criteria were only<br />

partially addressed. Criterion F (suitability for intended users) received a strong<br />

classification, as the sub-criteria, national and international experts, are fully met<br />

(Langhammer et al. 2007, 8). Since the KBA identification process is data driven, in that<br />

the international thresholds and criteria need <strong>to</strong> be met, national experts (and<br />

international experts) are vital for data validation (Interview Partner M). The inclusion <strong>of</strong><br />

stakeholders in the delineation process mobilises local pride and ownership at the site<br />

level through the establishment <strong>of</strong> local groups and civil societies (Interview Partner M).<br />

However, participation <strong>of</strong> stakeholders is only encouraged for a refinement <strong>of</strong> boundaries<br />

after the selection <strong>of</strong> KBA (Knight et al. 2007, 258, Langhammer et al. 2007, 48, 50).<br />

Thus, the local user groups sub-criterion is only partially captured.<br />

44 National and regional have been used synonymously in this thesis. Please refer <strong>to</strong> chapter 7,<br />

General Terms.<br />

50


4. RESULTS<br />

In Group IV (Supplementary), the criteria K (consideration <strong>of</strong> threats), L (moni<strong>to</strong>ring<br />

recommendations) and M (management recommendations) were all classified as<br />

very strong. During priority-setting workshops, thematic working groups <strong>identify</strong> overall<br />

biological priorities and <strong>areas</strong> <strong>of</strong> threat and opportunity, both internal or external (García-<br />

Moreno et al. 2007, 322). In addition, threats are also ranked according <strong>to</strong> their severity<br />

which ranges from low, moderate, high, <strong>to</strong> extreme (Gerlach 2008, 322, 323;<br />

Langhammer et al. 2007, 70). Moni<strong>to</strong>ring recommendations are given by the KBA<br />

process. Even though exact moni<strong>to</strong>ring <strong>to</strong>ols are not mentioned, examples here<strong>of</strong> are<br />

provided. These include moni<strong>to</strong>ring <strong>of</strong> the KBA site itself or moni<strong>to</strong>ring <strong>of</strong> rare, threatend<br />

or endangered species <strong>with</strong>in these sites <strong>to</strong> assess their current status. Therefore,<br />

criterion L (moni<strong>to</strong>ring recommendations) is fully met. The delineation <strong>of</strong> KBA occurs at<br />

existing management units, as these ensure that conservation needs reach the species<br />

<strong>of</strong> interest. Thus, they are <strong>areas</strong> that actually are, or can be, suitably managed for<br />

conservation on the ground, either through management <strong>of</strong> protected <strong>areas</strong> or other<br />

appropriate measures (Interview Partner M). In addition, general management<br />

recommendations are provided, again in the form <strong>of</strong> examples. These include examples<br />

<strong>of</strong> habitat res<strong>to</strong>ration strategies or recommendations on captive breeding programmes <strong>to</strong><br />

supplement depleted populations. Thus, this sub-criterion is fully captured. Contrastingly,<br />

criterion J (scoping assessment) was classified as weak, since the approach’s design<br />

does not intend for a scoping assessment.<br />

The obtained pr<strong>of</strong>ile ranging from weak <strong>to</strong> very strong remained predominantly in the<br />

categories <strong>of</strong> average and strong 45 . Due <strong>to</strong> its strong support from leading international<br />

organisations 46 , this result was somewhat surprising.<br />

45 An overview <strong>of</strong> all approach pr<strong>of</strong>iles can be seen in chapter 4.2.3, Interim Summary II. The<br />

comparison there<strong>of</strong> <strong>with</strong> an overall result for the entire assessment is shown in chapter 4.4,<br />

Summary.<br />

46 The organisations supporting this approach have been mentioned in chapter 3.2.2.<br />

51


4. RESULTS<br />

4.2.2.3 Pr<strong>of</strong>ile <strong>of</strong> Ecoregion-Based Conservation (ERBC) Approach<br />

The results obtained for the strength-weakness analysis for one <strong>of</strong> the more<br />

comprehensive <strong>approaches</strong>, in terms <strong>of</strong> its objectives, the scales it addresses and the criteria<br />

it employs, is shown in Figure 11.<br />

Figure 11: ERBC strength-weakness pr<strong>of</strong>ile<br />

Group<br />

Criteria<br />

very<br />

w eak<br />

(--)<br />

w eak<br />

(-)<br />

average<br />

(0)<br />

strong<br />

(+)<br />

very<br />

strong<br />

(++)<br />

I. Ecology<br />

A. Addressed<br />

Biodiversity levels<br />

B. Addressed<br />

ecosystem types<br />

C. Geographic<br />

scale <strong>of</strong> applicability<br />

II.<br />

Implementation<br />

D. Level <strong>of</strong> approach<br />

E. Implementation style<br />

F. Suitability for<br />

intended users<br />

J. Possibility <strong>of</strong><br />

scoping assessment<br />

IV.<br />

Supplementary<br />

K. Consideration <strong>of</strong><br />

threats<br />

L. Moni<strong>to</strong>ring<br />

recommendations<br />

Source: Own design<br />

M. Management<br />

recommendations<br />

In Group I (Environmental), the ERBC approach was classified as very strong for both<br />

criteria. For criterion A (addressed biodiversity levels) all three sub-criteria are fully<br />

captured. Genetic variation is conserved through the conservation <strong>of</strong> viable populations<br />

or metapopulations (Lindenmayer and Burgman 2005, 31) which are conserved in large<br />

intact habitats, one <strong>of</strong> the approach criteria (Dinerstein et al. 2000, 17). Additionally,<br />

specific conservation targets, <strong>with</strong>in each subdivision <strong>of</strong> the ecoregion, aim <strong>to</strong> protect the<br />

genetic diversity <strong>of</strong> species for which data is available. Thus, it is assumed that genetic<br />

diversity <strong>of</strong> all species is also captured (Interview Partner J). Species diversity is<br />

captured at two levels. First, at a coarse level, albeit only partially, as it is assumed that<br />

by protecting plant communities and ecological systems most <strong>of</strong> the biodiversity, genetic,<br />

species and ecosystem diversity will be captured. Second, at a finer level, the<br />

assessment identifies threatened, rare or endemic species requiring a <strong>special</strong> need for<br />

conservation (Marshall et al. 2004, 11). Species diversity is, therefore, fully addressed.<br />

52


4. RESULTS<br />

This approach places emphasis on the conservation <strong>of</strong> all communities and ecosystem,<br />

both aquatic and terrestrial (Groves et al. 2000, 1-1). Through the implementation <strong>of</strong> the<br />

concept <strong>of</strong> complimentarity 47 , rare ecosystems will be prioritised for selection as<br />

conservation targets (Dinerstein et al. 2000, 17). Therefore, criterion B (addressed<br />

ecosystem types) is fully met. However, it should be noted that, <strong>with</strong>in an ecoregion,<br />

prioritisation for specific conservation measures is based on threat status, rather than on<br />

rarity (Interview Partner J).<br />

In Group II (Implementation), criteria C (geographic scale <strong>of</strong> applicability), E<br />

(implementation style) and F (suitability for intended users) all scored very strong 48 .<br />

For criterion C, the two sub-criteria, global and regional, are fully addressed. Ecoregionbased<br />

conservation has been designed for global application (Olson and Dinerstein<br />

1998, 509). When ecoregions are compared, ERBC can be viewed as a globalcontinental<br />

analysis, whereas it becomes a landscape level analysis (i.e. at the local<br />

scale) when analytical work is being performed <strong>with</strong>in the ecoregion (Dinerstein et al.<br />

2000, 14). Thus, both criteria regional and global are completely captured. Whereas, the<br />

sub-criterion for local is only met indirectly, as it is represented through analytical work<br />

being conducted <strong>with</strong>in an ecoregion, but the assessment itself is applied at a larger<br />

scale. In contrast, criterion D (level <strong>of</strong> approach) was assigned a strong classification,<br />

since its sub-criterion, private sec<strong>to</strong>r level, is only partially addressed. The ERBC<br />

approach aims <strong>to</strong> conserve biodiversity at an ecoregional scale. One <strong>of</strong> its goals is <strong>to</strong><br />

conserve blocks <strong>of</strong> natural habitat large enough <strong>to</strong> be resilient and responsive <strong>to</strong> large<br />

scale, short and long term change (Dinerstein et al. 2001, 4). Depending on the<br />

assessment location, this may be difficult <strong>to</strong> achieve at the private sec<strong>to</strong>r level, e<strong>special</strong>ly<br />

in heavily fragmented production landscapes (Interview Partner N). However, ERBC<br />

could, in theory, also be applied in a private sec<strong>to</strong>r setting. For example, in large-scale<br />

logging concessions, such as in Central Africa, where only one tree per hectare, per 25<br />

years is cut (Interview Partner F). Hence, the private sec<strong>to</strong>r level is partially addressed.<br />

The goal <strong>of</strong> the ERBC approach is <strong>to</strong> <strong>identify</strong> <strong>areas</strong> for legal protection. Thus, the subcriterion,<br />

public sec<strong>to</strong>r level is fully addressed.<br />

In Group IV (Supplementary), all four criteria (J, K L and M) were classified as very<br />

strong. During preparation the assessment team should be formed. They should then<br />

design and prepare expert workshops and gather essential data (Dinerstein et al. 2000,<br />

50). These expert workshops should aid in determining available data, its validity and still<br />

47 Please refer <strong>to</strong> chapter 7, General Terms, for a definition.<br />

48 Please refer <strong>to</strong> Appendix A5-3 for more detail.<br />

53


4. RESULTS<br />

required data. In addition, the financial cost <strong>of</strong> the assessment and the required time<br />

should be considered when choosing the assessment team and also when considering<br />

new versus old data (Dinerstein et al. 2000, 55; Groves et al. 2000, 2-1). Therefore, both<br />

sub-criteria for criterion J (scoping assessment) are fully captured. In addition, the subcriteria<br />

for criterion K (consideration <strong>of</strong> threats) are also fully addressed. The ERBC<br />

approach provides a detailed threat assessment <strong>to</strong>ol (Dinerstein et al. 2000, 112, Groves<br />

et al. 2000, vii). The levels <strong>of</strong> threat are determined by the degree <strong>to</strong> which the threat is<br />

isolated <strong>to</strong> a specific footprint, or whether the adverse effects <strong>of</strong> the footprint radiate out<br />

(Interview Partner J). These levels <strong>of</strong> threat are ranked qualitatively, low, medium or<br />

high, from the source. Therefore, zones <strong>of</strong> threat degree or zones <strong>of</strong> degradation<br />

emanating from the centre <strong>of</strong> each source are established. Consequently landscapes<br />

<strong>with</strong>in an ecoregion can be ranked in order <strong>to</strong> pinpoint the area <strong>with</strong> lowest ecological<br />

cost <strong>to</strong> work in. This approach identifies priority <strong>areas</strong> that are highly threatened, but<br />

where these threats can be abated (Interview Partner J). Since the exact location <strong>of</strong> the<br />

threat footprint can either be <strong>with</strong>in or outside <strong>of</strong> the ecoregion, both internal and external<br />

threats are addressed.<br />

In summary, the very strong pr<strong>of</strong>ile obtained for the ERBC approach pr<strong>of</strong>ile corresponded <strong>to</strong><br />

the common opinion that it is extremely comprehensive and successful in conserving<br />

biodiversity (Interview Partner I and J).<br />

54


4. RESULTS<br />

4.2.2.4 Pr<strong>of</strong>ile <strong>of</strong> Focal Species Approach (FSA)<br />

The FSA was included in this assessment, as a direct comparison <strong>to</strong> the HCV<br />

concept, since it is also implemented in production landscapes. The results obtained can be<br />

seen in Figure 12.<br />

Figure 12: FSA strength-weakness pr<strong>of</strong>ile<br />

Group<br />

Criteria<br />

very<br />

w eak<br />

(--)<br />

w eak<br />

(-)<br />

average<br />

(0)<br />

strong<br />

(+)<br />

very<br />

strong<br />

(++)<br />

I. Ecology<br />

A. Addressed<br />

Biodiversity levels<br />

B. Addressed<br />

ecosystem types<br />

C. Geographic<br />

scale <strong>of</strong> applicability<br />

II.<br />

Implementation<br />

D. Level <strong>of</strong> approach<br />

E. Implementation style<br />

F. Suitability for<br />

intended users<br />

J. Possibility <strong>of</strong><br />

scoping assessment<br />

IV.<br />

Supplementary<br />

K. Consideration <strong>of</strong><br />

threats<br />

L. Moni<strong>to</strong>ring<br />

recommendations<br />

Source: Own design<br />

M. Management<br />

recommendations<br />

In Group I (Environmental), criterion A (addressed biodiversity levels) was classified<br />

as weak, as only one <strong>of</strong> the sub-criterions is fulfilled. It only takes in<strong>to</strong> account locally<br />

rare, threatened and endangered species. Genetic diversity and ecosystem diversity are<br />

both not considered. In contrast, criterion B (addressed ecosystem types) was given<br />

an average value, since it was designed for implementation in terrestrial ecosystems, but<br />

not for aquatic ones.<br />

In Group II (Implementation), two <strong>of</strong> the three sub-criteria for criterion C (geographic<br />

scale <strong>of</strong> applicability) are addressed fully, thus, a strong classification was assigned.<br />

The FSA is implemented throughout the world, <strong>with</strong> case studies existing in Australia,<br />

the USA and Italy (Hugget 2007, Hess and King 2002, Bani et al. 2002). Furthermore,<br />

55


4. RESULTS<br />

the FSA is applied at the local level (Hess and King 2002, 26, Hugget 2007, 1). No<br />

examples <strong>of</strong> regional assessments were obtained through literature or expert interviews.<br />

Criterion D (level <strong>of</strong> approach) was assigned a very strong score, as both the private<br />

and public sec<strong>to</strong>r level are fully addressed. The FSA addresses some <strong>of</strong> the more<br />

pressing issues facing conservation in agricultural lands that are predominantly privately<br />

owned (Hess and King 2002, 26). However, it is also applied <strong>to</strong> <strong>areas</strong> <strong>of</strong> both private and<br />

public ownership (Bani et al. 2002, 827). The FSA is typically supported through<br />

partnerships between government, community-based organisations (Hugget 2007, 1)<br />

and landowners (Freudenberger et al. 2004, 9). Thus, the process is part bot<strong>to</strong>m-up, part<br />

<strong>to</strong>p-down and criterion E (implementation style) was therefore classified as very strong.<br />

Criterion F (level <strong>of</strong> approach), on the other hand, was given a weak score, as the subcriteria,<br />

international experts and local user groups, are not met. The identification <strong>of</strong><br />

focal species and their key threats requires input from local or national experts (Hugget<br />

2007, 3, 4; Hess and King 2002, 29).<br />

In Group IV (Supplementary), no information on criterion J (scoping assessment) was<br />

identified, thus it was assigned an average value. The last three criteria K<br />

(consideration <strong>of</strong> threats), L (moni<strong>to</strong>ring recommendations) and M (management<br />

recommendations) were all given a very strong classification, as all sub-criteria are<br />

met 49 .<br />

The FSA obtained a pr<strong>of</strong>ile ranging from weak <strong>to</strong> very strong. This variable result is<br />

reflected in the opinion found in contemporary literature where both proponents and<br />

opponents <strong>of</strong> the approach were identified (Lindenmeyer and Fischer 2003, Hugget<br />

2007, Hess and King 2002).<br />

49 Please refer <strong>to</strong> Appendix A5-4 for more detail.<br />

56


4. RESULTS<br />

4.2.2.5 Pr<strong>of</strong>ile <strong>of</strong> Rapid Ecological <strong>Assessment</strong> (REA)<br />

Contrasting the four previous <strong>approaches</strong>, the REA was added <strong>to</strong> include an<br />

approach based on scientific methodologies. Its pr<strong>of</strong>ile can be seen in Figure 13.<br />

Figure 13: REA strength-weakness pr<strong>of</strong>ile<br />

Group<br />

Criteria<br />

very<br />

w eak<br />

(--)<br />

w eak<br />

(-)<br />

average<br />

(0)<br />

strong<br />

(+)<br />

very<br />

strong<br />

(++)<br />

I. Ecology<br />

A. Addressed<br />

Biodiversity levels<br />

B. Addressed<br />

ecosystem types<br />

C. Geographic<br />

scale <strong>of</strong> applicability<br />

II.<br />

Implementation<br />

D. Level <strong>of</strong> approach<br />

E. Implementation style<br />

F. Suitability for<br />

intended users<br />

J. Possibility <strong>of</strong><br />

scoping assessment<br />

IV.<br />

Supplementary<br />

K. Consideration <strong>of</strong><br />

threats<br />

L. Moni<strong>to</strong>ring<br />

recommendations<br />

Source: Own design<br />

M. Management<br />

recommendations<br />

In Group I (Environmental), criterion A (addressed biodiversity levels) was classified<br />

as strong. Both sub-criteria, species diversity and ecosystem diversity, are fully captured.<br />

The vegetation fieldwork prioritises the sampling <strong>of</strong> rare and complex vegetation types.<br />

Prioritisation is based on a process which includes considerations such as endemism,<br />

representativeness and degree <strong>of</strong> fragmentation (Sayre et al. 2000, 82). Since the unit <strong>of</strong><br />

an ecosystem can be characterised by species composition (Millennium Ecosystem<br />

<strong>Assessment</strong> 2005b, 82), <strong>identify</strong>ing rare vegetation types as priorities is taken as<br />

meeting the sub-criterion, ecosystem diversity. Faunal surveys prioritise target species<br />

for sampling. These species are threatened, endangered or endemic (Sayre et al. 2000,<br />

96). A direct assessment <strong>of</strong> genetic diversity is not part <strong>of</strong> an REA (CBD 2005, 10).<br />

Additionally, it does not specifically foresee the conservation <strong>of</strong> large intact natural<br />

habitats which would enable the conservation <strong>of</strong> genetic diversity (Lindenmayer and<br />

Burgman 2005, 31). Hence, this sub-criterion is not addressed. Criterion B (addressed<br />

57


4. RESULTS<br />

ecosystem types) was classified as very strong, since both sub-criteria are met fully. A<br />

REA can be implemented in both aquatic and terrestrial ecosystems (CBD 2005, 9;<br />

Sayre et al. 2000, 2, 8, 9).<br />

In Group II (Implementation), criterion C (geographic scale <strong>of</strong> applicability) was given<br />

a very strong score. All three sub-criteria are fully captured. REAs have been<br />

implemented throughout the world (Sayre et al. 2000, 3) at both regional (Sayre et al.<br />

2000, 10, 13) and local levels (Sayre et al. 2000, 10, 13; Meerman et al. 2003, 7).<br />

Criterion D (level <strong>of</strong> approach) also scored a very strong. Over the years, REAs have<br />

resulted in the establishment <strong>of</strong>, amongst others, protected <strong>areas</strong>, zoning and boundary<br />

changes, biological corridor design and community-based conservation activities (Sayre<br />

et al. 2000, 16). Hence, the public sec<strong>to</strong>r level is addressed fully. In addition, the private<br />

sec<strong>to</strong>r level is also fully captured, as REAs have been implemented in privately owned<br />

logging concessions (Gillison et al. 1996, 1). Criterion E (implementation style) was<br />

classified as very strong, as the approach can be both bot<strong>to</strong>m-up and <strong>to</strong>p-down. REAs<br />

have been implemented at both a national and local level (Sayre et al. 2000, 8, 9). Thus,<br />

both sub-criteria are met. Additionally, local data sets are produced by a REA which<br />

have benefited research programmes (Sayre et al. 2000, 16) and aided the identification<br />

<strong>of</strong> stakeholders and constituencies (Interview Partner I) 50 .<br />

In Group IV (Supplementary), all criteria J <strong>to</strong> M were classified as very strong <strong>with</strong> all<br />

sub-criteria being fully addressed. During the scoping assessment, the scope, cost,<br />

timing and team composition are identified (Sayre et al. 2000, 35-37). Existing and<br />

potential threats, both internal and external, are pinpointed and ranked according <strong>to</strong> low,<br />

medium or high (Sayre et al. 2000, 119). Any moni<strong>to</strong>ring needs, such as moni<strong>to</strong>ring <strong>of</strong><br />

threatened or endangered species or vegetation types and moni<strong>to</strong>ring <strong>of</strong> threat<br />

abatement practices, are formulated as part <strong>of</strong> management recommendations (Sayre et<br />

al. 2000, 123, 134). One <strong>of</strong> the final stages <strong>of</strong> any REA is the preparation <strong>of</strong><br />

management recommendations and strategies. These may include aspects such as<br />

practices <strong>to</strong> maintain watershed integrity, <strong>to</strong> sustainably use resources, or the creation <strong>of</strong><br />

biological corridors or buffer zones (Sayre et al. 2000, 134).<br />

The very strong results obtained during the analysis <strong>of</strong> the REA correspond <strong>to</strong> the overall<br />

opinion gathered during the interviews (Interview Partner I and J). It is extremely<br />

comprehensive and representative in terms <strong>of</strong> characterising the species and landscape<br />

levels <strong>of</strong> biodiversity (Interview Partner I and J; Sayre et al. 2000, 33, 81).<br />

50 For more detail, please refer <strong>to</strong> Appendix A5-5.<br />

58


4. RESULTS<br />

4.2.3 Interim Summary II<br />

As seen in Figure 14, the individual strength-weakness pr<strong>of</strong>iles show a clear differentiation <strong>of</strong><br />

the <strong>approaches</strong>. The ERBC approach and the REA produced the strongest pr<strong>of</strong>ile for the<br />

strength-weakness analysis. This was followed closely by the HCV concept, then the KBA<br />

approach and the FSA.<br />

Figure 14: Overview <strong>of</strong> all strength-weakness pr<strong>of</strong>iles<br />

Group<br />

Criteria<br />

very<br />

w eak<br />

(--)<br />

weak<br />

(-)<br />

average<br />

(0)<br />

strong<br />

(+)<br />

very<br />

strong<br />

(++)<br />

Group<br />

Criteria<br />

very<br />

weak<br />

(--)<br />

weak<br />

(-)<br />

average<br />

(0)<br />

strong<br />

(+)<br />

very<br />

strong<br />

(++)<br />

I. Ecology<br />

A. Addressed<br />

Biodiversity levels<br />

B. Addressed<br />

ecosystem types<br />

I. Ecology<br />

A. Addressed<br />

Biodiversity levels<br />

B. Addressed<br />

ecosystem types<br />

C. Geographic<br />

scale <strong>of</strong> applicability<br />

C. Geographic<br />

scale <strong>of</strong> applicability<br />

II.<br />

Implementation<br />

D. Level <strong>of</strong> approach<br />

E. Implementation style<br />

II.<br />

Implementation<br />

D. Level <strong>of</strong> approach<br />

E. Implementation style<br />

F. Suitability for<br />

intended users<br />

F. Suitability for<br />

intended users<br />

J. Possibility <strong>of</strong><br />

scoping assessment<br />

J. Possibility <strong>of</strong><br />

scoping assessment<br />

IV.<br />

Supplementary<br />

K. Consideration <strong>of</strong><br />

threats<br />

L. Moni<strong>to</strong>ring<br />

recommendations<br />

IV.<br />

Supplementary<br />

K. Consideration <strong>of</strong><br />

threats<br />

L. Moni<strong>to</strong>ring<br />

recommendations<br />

M. Management<br />

recommendations<br />

HCV Pr<strong>of</strong>ile<br />

M. Management<br />

recommendations<br />

KBA Pr<strong>of</strong>ile<br />

Group<br />

Criteria<br />

very<br />

weak<br />

(--)<br />

weak<br />

(-)<br />

average<br />

(0)<br />

strong<br />

(+)<br />

very<br />

strong<br />

(++)<br />

Group<br />

Criteria<br />

very<br />

weak<br />

(--)<br />

weak<br />

(-)<br />

average<br />

(0)<br />

strong<br />

(+)<br />

very<br />

strong<br />

(++)<br />

I. Ecology<br />

A. Addressed<br />

Biodiversity levels<br />

B. Addressed<br />

ecosystem types<br />

I. Ecology<br />

A. Addressed<br />

Biodiversity levels<br />

B. Addressed<br />

ecosystem types<br />

C. Geographic<br />

scale <strong>of</strong> applicability<br />

C. Geographic<br />

scale <strong>of</strong> applicability<br />

II.<br />

Implementation<br />

D. Level <strong>of</strong> approach<br />

E. Implementation style<br />

II.<br />

Implementation<br />

D. Level <strong>of</strong> approach<br />

E. Implementation style<br />

F. Suitability for<br />

intended users<br />

F. Suitability for<br />

intended users<br />

J. Possibility <strong>of</strong><br />

scoping assessment<br />

J. Possibility <strong>of</strong><br />

scoping assessment<br />

IV.<br />

Supplementary<br />

K. Consideration <strong>of</strong><br />

threats<br />

L. Moni<strong>to</strong>ring<br />

recommendations<br />

IV.<br />

Supplementary<br />

K. Consideration <strong>of</strong><br />

threats<br />

L. Moni<strong>to</strong>ring<br />

recommendations<br />

M. Management<br />

recommendations<br />

ERBC Pr<strong>of</strong>ile<br />

M. Management<br />

recommendations<br />

FSA Pr<strong>of</strong>ile<br />

Group<br />

Criteria<br />

very<br />

weak<br />

(--)<br />

weak<br />

(-)<br />

average<br />

(0)<br />

strong<br />

(+)<br />

very<br />

strong<br />

(++)<br />

I. Ecology<br />

A. Addressed<br />

Biodiversity levels<br />

B. Addressed<br />

ecosystem types<br />

C. Geographic<br />

scale <strong>of</strong> applicability<br />

II.<br />

Implementation<br />

D. Level <strong>of</strong> approach<br />

E. Implementation style<br />

F. Suitability for<br />

intended users<br />

J. Possibility <strong>of</strong><br />

scoping assessment<br />

IV.<br />

Supplementary<br />

K. Consideration <strong>of</strong><br />

threats<br />

L. Moni<strong>to</strong>ring<br />

recommendations<br />

M. Management<br />

recommendations<br />

Source: Own design<br />

REA Pr<strong>of</strong>ile<br />

59


4. RESULTS<br />

4.3 Additional Criteria Analysis<br />

Since the Group III (Input) criteria (G. methods for site choice; H. required resources; I.<br />

data requirements) were <strong>to</strong>o complex <strong>to</strong> be classified only according <strong>to</strong> the characteristics<br />

“strong” and “weak”, an ordinal ranking scheme 51 was designed. The following chapters<br />

provide detailed insight in<strong>to</strong> the <strong>approaches</strong>, resulting in their subsequent ranking 52 , whilst<br />

making the ranking procedures transparent.<br />

An overview <strong>of</strong> the criteria that were ranked is shown in Figure 15.<br />

Figure 15: Overview <strong>of</strong> criteria assessment: focus on ranking<br />

Strength-Weakness Analysis Ranking No <strong>Assessment</strong> Possible<br />

Group Criteria Group Group<br />

Criteria<br />

Criteria<br />

I. Ecology<br />

A. Addressed<br />

Biodiversity Levels<br />

B. Addressed<br />

Ecosystem Types<br />

III. Input<br />

G. Methods for<br />

Site Choice<br />

H. Required<br />

Res ources<br />

I. Data<br />

Requirements<br />

V. Effectiveness<br />

N. Conserved<br />

Species<br />

O. Protected<br />

Area<br />

C. Geographic<br />

Scale <strong>of</strong> Applicability<br />

D. Level <strong>of</strong> Approach<br />

II. Implementation<br />

E. Implementation<br />

Style<br />

F. Suitability for<br />

Different Users<br />

IV. Supplementary<br />

J. Possibility <strong>of</strong><br />

Scoping <strong>Assessment</strong><br />

K. Consideration <strong>of</strong><br />

Threats/ Ris ks<br />

L. Moni<strong>to</strong>ring<br />

Rec ommendations<br />

Source: Own design<br />

M. Management<br />

Recommendations<br />

51 The ranking methodology is explained in chapter 2.2.7, Additional Criteria.<br />

52 The overall ranking <strong>of</strong> the Group III criteria can be seen in chapter 4.3.4, Interim Summary III.<br />

60


4. RESULTS<br />

As can be seen in Figure 16, chapter 4.3.1 deals <strong>with</strong> Methods for Site Choice (criterion G),<br />

whereas 4.3.2 centres around Required Resources (criterion H) and 4.3.3 <strong>with</strong> Data<br />

Requirements (criterion I). Furthermore chapter 4.3.4 (Interim Summary II) <strong>of</strong>fers the reader<br />

an overview <strong>to</strong> the findings concerning the <strong>approaches</strong>’ ranking, before embarking on the<br />

complete summary, discussion and conclusions.<br />

Figure 16: Overview <strong>of</strong> additional criteria<br />

Additional Criteria<br />

Group III<br />

Input<br />

G. Methods For<br />

Site Choice<br />

4.3.1<br />

I. Data<br />

Requirements<br />

4.3.3<br />

H. Required<br />

Required<br />

4.3.2<br />

Source: Own design<br />

61


4. RESULTS<br />

4.3.1 Methods for Site Choice<br />

In order <strong>to</strong> determine the appropriate site for implementation <strong>of</strong> the <strong>approaches</strong>, biodiversity<br />

needs <strong>to</strong> be evaluated (Hill et al. 2005, 65). The exact methodology employed by the<br />

<strong>approaches</strong> varies considerably 53 . The method <strong>of</strong> site choice will always depend on the<br />

objectives and available resources, since the latter will, <strong>of</strong> necessity, have <strong>to</strong> increase when<br />

assessing remote <strong>areas</strong>, large spatial scales, high <strong>to</strong>pographic resolution and a large<br />

number <strong>of</strong> different features (CBD 2005, 11).<br />

The various methods were divided in<strong>to</strong> the three groups: Site visits, surveys and additional<br />

methods (Figure 17).<br />

Figure 17: Overview <strong>of</strong> methods employed for site choice<br />

Methods for Site<br />

Choice<br />

Site Visits<br />

Additional<br />

methods<br />

Surveys<br />

Source: Own design<br />

53 For an overview <strong>of</strong> the individual approach methodology used for site choice, please refer <strong>to</strong><br />

Appendix A6. These have also been described in following chapters, 4.3.1.1-.4.3.1.5.<br />

62


4. RESULTS<br />

In Figure 18, the sub-criteria were further divided according <strong>to</strong> the most important issues as<br />

stated in contemporary literature. Here a detailed overview <strong>of</strong> the methods employed by the<br />

various <strong>approaches</strong> was provided.<br />

As per definition, field surveys and rapid assessments are used synonymously in this<br />

thesis 54 .<br />

Figure 18: Methods employed for site identification<br />

Site Visits Surveys Additional<br />

methods<br />

•Inven<strong>to</strong>ries<br />

KBA, REA<br />

•Rapid assessment<br />

all <strong>approaches</strong><br />

•Indica<strong>to</strong>r species<br />

HCV, ERBC, FSA, REA<br />

•Ground truthing<br />

HCV, ERBC, FSA, REA<br />

•Field surveys<br />

all <strong>approaches</strong><br />

•Expert surveys<br />

ERBC, FSA<br />

•Stakeholder surveys<br />

HCV, ERBC, REA<br />

•Remote sensing<br />

all <strong>approaches</strong><br />

•Existing data<br />

•Models<br />

all <strong>approaches</strong><br />

ERBC<br />

•Environmental indica<strong>to</strong>rs<br />

ERBC<br />

Source: Own design<br />

Inven<strong>to</strong>ries have been employed by the KBA approach (Eken et al. 2005, 3) and REA (CBD<br />

2005, 82). Though this form <strong>of</strong> site visit is highly objective in its field sampling (Sayre et al.<br />

2000, 28), it also tends <strong>to</strong> be resource and time intensive (CBD 2005, 6). For a REA,<br />

sampling intensity will depend on the availability <strong>of</strong> resources (Sayre et al. 2000, 82).<br />

Furthermore, as part <strong>of</strong> a REA, it is not necessary <strong>to</strong> <strong>identify</strong> every plant <strong>to</strong> the species level,<br />

however, certain plants must always be identified <strong>to</strong> this level. These include species<br />

characterising vegetation type, species <strong>of</strong> conservation concern (i.e. endemic, rare or<br />

endangered plants) and species <strong>of</strong> management concern (i.e. exotic or economic plants)<br />

(Sayre et al. 2000, 85).<br />

54 As defined in chapter 7, General Terms.<br />

63


4. RESULTS<br />

Rapid assessments (i.e. field surveys) have been implemented by all <strong>approaches</strong><br />

(Rainforest Alliance 2005, 29; Interview Partner M; Dinerstein et al. 2000, 63; Hugget 2007,<br />

12; Sayre et al. 2000, 82), as these provide a fast, efficient and cost effective method for<br />

producing estimates on <strong>to</strong>tal biodiversity (Oliver et al. 1993, 562).<br />

Indica<strong>to</strong>r species <strong>of</strong>fer a simple and cost-effective way <strong>to</strong> determe numbers, status or<br />

trends <strong>of</strong> biodiversity, as well as habitat quality (Millspaugh and Thompson 2008, 59) and<br />

have been employed by all <strong>approaches</strong>, except the KBA approach (Rayden et al. 2009, 22;<br />

Interview Partner I, Lambeck 1997, 849-856; Sayre et al. 2000, 96).<br />

Ground truthing has been implemented by the HCV concept (Stewart et al. 2000, 20, 25),<br />

the ERBC appproach (Dinerstein et al. 2000, 86) and the REA (Sayre et al. 2000, 29). This<br />

method is predominantly used <strong>to</strong> verify data, such as remotely sensed or land cover maps<br />

(Stewart et al. 2008, 20, 25). It is e<strong>special</strong>ly useful <strong>with</strong> inaccurate or outdated data and<br />

maps (Dinerstein et al. 2000, 86). Additionally, it has also been employed for more detailed<br />

site level mapping, as part <strong>of</strong> a HCV assessment (Rayden et al. 2009, 8).<br />

Stakeholder surveys have been employed by three <strong>of</strong> the five <strong>approaches</strong>, as a method for<br />

site identification (Stewart 2009, 11, 13; Dinerstein et al. 2000, 31, CBD 2005, 18). The<br />

bot<strong>to</strong>m-up approach <strong>of</strong> stakeholder surveys gives the assessment credibility (Stewart et al.<br />

2008, 11, 13; Interview Partner M) by providing more accurate local and regional data sets<br />

and also endowing a sense <strong>of</strong> ownership and commitment <strong>to</strong> the approach (Knight et al.<br />

2007, 258). The KBA approach has not been included here, as stakeholder surveys are only<br />

included for the refinement <strong>of</strong> delineated KBA and not for the delineation process itself<br />

(Langhammer et al. 2007, 50, Knight et al. 2007, 258).<br />

The ERBC approach and the FSA have made use <strong>of</strong> expert surveys for site identification,<br />

as experts provide a vast experience and understanding <strong>of</strong> the biota and threats <strong>to</strong> the area<br />

<strong>of</strong> interest (Dinerstein et al. 2000, 9, Hess and King 2002, 28).<br />

This last sub-criterion was added <strong>to</strong> include any additional methodology which does not fall<br />

under the first four sub-criteria. Examples <strong>of</strong> the sub-criterion, additional methods, include<br />

the use <strong>of</strong> remote sensing technology, existing data, environmental indica<strong>to</strong>rs and predictive<br />

models. Remote sensing technology and existing data have been implemented by all<br />

<strong>approaches</strong> (Stewart et al. 2008, pg 14, 25, 37; Interview Partner M; Dinerstein et al. 2001,<br />

55, 57; Lambeck 1997, 854; Sayre et al. 2000, pg 54) 55 . Environmental indica<strong>to</strong>rs, such as<br />

biophysical data, and predictive models have only been employed by the ERBC approach.<br />

These allow for the best informed decisions <strong>with</strong> limited resources (Dinerstein et al. 2000, 63,<br />

86). Even though the quality <strong>of</strong> environmental indica<strong>to</strong>rs are continuously improving <strong>with</strong> the<br />

55 For a more thorough analysis, please refer <strong>to</strong> section 4.3.3.4, Use <strong>of</strong> Remote Sensing and chapter<br />

4.3.3.1, Use <strong>of</strong> Existing Data.<br />

64


4. RESULTS<br />

advancement <strong>of</strong> remote sensing technology (Turner et al. 2003, 306), taken on their own,<br />

indica<strong>to</strong>rs present certain weaknesses in <strong>identify</strong>ing biodiversity relevant sites (Langhammer<br />

et al. 2007, 10; Interview Partner J). Hence, the use <strong>of</strong> indica<strong>to</strong>rs and predictive models<br />

always has <strong>to</strong> be followed by ground truthing in a certain subset <strong>of</strong> the area <strong>to</strong> verify satellite<br />

imagery and land form composition. (Interview Partner J).<br />

The majority <strong>of</strong> the <strong>approaches</strong> result in an extensive, multilayered GIS database which<br />

permits both spatial analysis and map production (Stewart et al. 2008, 40; Dinerstein et al.<br />

2000, 57, Groves et al. 2000, 14; Langhammer et al. 2007, 29; Sayre et al. 2000, 74). As has<br />

been described above, all <strong>approaches</strong> may make use <strong>of</strong> an array <strong>of</strong> different methods for site<br />

choice.<br />

However, each approach provides guidelines on the methods for site choice. The following<br />

chapters (4.3.1.1-4.3.1.5) cover these recommendations for the assessed <strong>approaches</strong><br />

individually, listing any identified strengths and weaknesses.<br />

4.3.1.1 High Conservation Value (HCV) Concept<br />

The method for site choice relies on a type <strong>of</strong> coarse filter-fine filter approach,<br />

where the coarse filter can be viewed as the landscape level assessment and the fine filter<br />

as the site scale level assessment. The preliminary assessment at the landscape level relies<br />

purely on remotely sensed data which establishes a broad framework, allowing for<br />

subsequent site level decisions (Stewart 2009, 7). By analysing the landscape level, site<br />

scale features are set in<strong>to</strong> the correct context and therefore, the HCV concept, as a whole, is<br />

strengthened (Stewart 2009, 6). Thus, implementation is improved and conservation values<br />

are either maintained or enhanced (Stewart and Rayden 2009, 3).<br />

The site scale analysis relies on existing data and field visits (Stewart 2009, 7). Prior <strong>to</strong> the<br />

field visit and during the planning stage <strong>of</strong> the assessment, data is sourced from the remotely<br />

sensed information sets, literature reviews, available public sec<strong>to</strong>r maps and lists <strong>of</strong> possibly<br />

present indica<strong>to</strong>r species, amongst others (Stewart et al. 2008, 13, 14, 15). Due <strong>to</strong> the<br />

generally short field surveys, on average about 5-10 days (Interview Partner D), the majority<br />

<strong>of</strong> data for site choice is gathered through rapid assessments and stakeholder surveys.<br />

However, examples <strong>of</strong> aerial surveys by helicopter also exist (Rainforest Alliance 2005, 30).<br />

These surveys increase the resolution <strong>of</strong> data obtained at the landscape level assessment<br />

(Stewart 2009, 7). In addition, stakeholder surveys are extremely important in gathering<br />

species sightings data, determining the socio-economic situation (also in the wider<br />

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4. RESULTS<br />

landscape, e<strong>special</strong>ly for possible external threat identification) (Rainforest Alliance 2005, 31,<br />

58), avoiding or reducing conflicts arising from operations and ensuring the transparency <strong>of</strong><br />

the process and therefore, also strengthening the credibility <strong>of</strong> the decision-making (Stewart<br />

2009, 9).<br />

Hence, through its methods for site choice, the HCV concept not only effectively merges the<br />

site and landscape level conservation scale, but also increases its implementation success<br />

through the incorporation <strong>of</strong> stakeholder knowledge and opinion (Interview Partner M).<br />

4.3.1.2 Key Biodiversity Areas (KBA) Approach<br />

The KBA approach identifies conservation targets at the site level <strong>with</strong> the exact<br />

mechanism for site choice depending on the national institutions implementing the<br />

framework.<br />

In order for any area <strong>to</strong> be assigned KBA status, the species based criteria and thresholds<br />

need <strong>to</strong> be met. Whether precise inven<strong>to</strong>ries, stakeholder surveys, rapid assessments or<br />

indica<strong>to</strong>r species are used, is always left up <strong>to</strong> the implementing body (Interview Partner M).<br />

Unfortunately a thorough literature review did not reveal any exact mechanisms in the choice<br />

for sites.<br />

International organisations support the identification process through access <strong>to</strong> literature,<br />

remote sensing data or site specific biodiversity database sets (Interview Partner M). It is,<br />

however, important <strong>to</strong> mention that identification and refinement <strong>of</strong> KBA is an iterative<br />

exercise, remaining flexible in<strong>to</strong> the future and being continuously improved as land-use<br />

patterns change, as habitat destruction progresses and as underlying data and datasets are<br />

updated (García-Moreno et al. 2007, 46; Interview Partner M). Previously, identification has<br />

<strong>of</strong>ten occurred based solely on literature, museum specimens and remotely sensed data,<br />

due <strong>to</strong> the funding structure <strong>of</strong> the process <strong>with</strong> no field work component being included in<br />

the assessment (Interview Partner M). Furthermore, stakeholder involvement is only<br />

employed for refining already delineated KBA, not for the actual identification and delineation<br />

process (Langhammer et al. 2007, 50). In addition, the sole reliance on globally set criteria<br />

and thresholds, being purely <strong>to</strong>p-down, limits the provision <strong>of</strong> perhaps more accurate local or<br />

regional data by stakeholders. This may prevent a sense <strong>of</strong> ownership and commitment<br />

(Knight et al. 2007, 258) and result in a reduction in implementation success (Interview<br />

Partner M).<br />

In summary, these shortcomings may cause the inclusion <strong>of</strong> commission and omission errors<br />

in the identification and subsequent delineation phase <strong>of</strong> the KBA process (Knight et al.<br />

2007, 259) and should urgently be addressed.<br />

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4. RESULTS<br />

4.3.1.3 Ecoregion-Based Conservation (ERBC) Approach<br />

In order <strong>to</strong> determine the exact site location, the site choice relies firstly on the<br />

global ecoregion map <strong>of</strong> Ohlson and Dinerstein (1998). These ecoregions are small enough<br />

<strong>to</strong> receive correct conservation attention, roughly averaging 15 million ha (median 5,6 million<br />

ha), a finer level <strong>of</strong> resolution than, for example, biodiversity hotspots (Ohlson et al. 2001,<br />

934). However, the Global 200 ecoregions are still an agglomeration <strong>of</strong> several regional<br />

ecoregions and therefore require decisions on the exact scale and assessment capacity <strong>to</strong><br />

be made. Hence, a boundary refinement is completed by expert surveys (Dinerstein et al.<br />

2000, 35). The resolution <strong>of</strong> delineation is then increased further until finally sub-regions are<br />

also delineated as conservation targets (Dinerstein et al. 2000, 36). These targets are<br />

identified through a combination <strong>of</strong> methods, such as indica<strong>to</strong>rs, predictive models, remote<br />

sensing and targeted stakeholder and expert surveys, allowing for the best outcome <strong>with</strong><br />

limited time and resources.<br />

The exact combination <strong>of</strong> methods will depend on the availability <strong>of</strong> data for the specific<br />

ecoregion <strong>of</strong> interest (Dinerstein et al. 2000, 63, 75) and follows a coarse filter-fine filter<br />

approach, a powerful <strong>to</strong>ol which enables the most extensive collection <strong>of</strong> biodiversity <strong>to</strong> be<br />

represented (Marshall et al. 2004, i). Conservation targets are selected at multiple spatial<br />

scales and levels <strong>of</strong> biodiversity and should include both aquatic and terrestrial types<br />

(Groves et al. 2000, vi).<br />

The primary focus <strong>of</strong> the ERBC assessment should be <strong>to</strong> <strong>identify</strong> ecological characteristics<br />

and critical processes, such as those important for maintaining ecosystem integrity. In some<br />

cases, the maintenance <strong>of</strong> conserving these characteristics may be more important than<br />

conserving local hotspots <strong>of</strong> endemism (Dinerstein et al. 2000, 40). This focus is captured in<br />

the coarse filter which relies on ecological groups, or assemblages <strong>of</strong> plant species present<br />

in repeated patterns across the ecoregion (Marshall et al. 2000, 12).<br />

From here the prime conservation priorities, requiring immediate action, are determined<br />

(Dinerstein et al. 2000, 44) by applying the criteria <strong>of</strong> complementarity 56 , conservation value,<br />

threat and feasibility <strong>to</strong> each <strong>of</strong> these sites (Groves et al. 2000, x, 8-1). This fine filter<br />

identifies species which, due <strong>to</strong> their rare, threatened or endemic status, are not likely <strong>to</strong> be<br />

captured by the coarse filter. Distributional and population data on these species is <strong>of</strong>ten<br />

available through global, national, regional or local datasets which are then complemented<br />

by expert knowledge (Marschall et al. 2000, 12). In the absence <strong>of</strong> available data, a REA<br />

may be performed <strong>to</strong> fill any gaps (Interview Partner I). The conservation goal, formulated<br />

56 Please refer <strong>to</strong> chapter 7, General Terms, for a definition here<strong>of</strong>.<br />

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4. RESULTS<br />

during the “biodiversity vision plan”, is <strong>to</strong> <strong>identify</strong> the minimum viable number <strong>to</strong> ensure the<br />

long-term persistence <strong>of</strong> these species <strong>of</strong> interest (Groves et al. 2000, viii).<br />

Determining which priority sites are most feasible for successful conservation (i.e. which<br />

<strong>areas</strong> have the right enabling conditions?) is difficult <strong>to</strong> achieve and also adds <strong>to</strong> the time<br />

and cost <strong>of</strong> the identification phase (Interview Partner I).<br />

However, the ERBC approach is the most comprehensive and the most representative in<br />

terms <strong>of</strong> trying <strong>to</strong> capture and maximise different scales and conservation targets <strong>of</strong><br />

biodiversity. Furthermore, it probably is the most successful in delineating important<br />

ecological processes and entire ecosystems (Interview Partner I) which ensures the long<br />

term persistence <strong>of</strong> biodiversity. This coincides <strong>with</strong> the results obtained here, namely that<br />

this approach is able <strong>to</strong> employ the broadest range <strong>of</strong> different methods for site choice,<br />

therefore, making it also the most flexible in its use <strong>of</strong> data sources and data acquisition 57 .<br />

4.3.1.4 Focal Species Approach (FSA)<br />

The first step in <strong>identify</strong>ing the conservation site is the identification <strong>of</strong> threats <strong>to</strong><br />

the area <strong>of</strong> interest. Species considered susceptible <strong>to</strong> the different threats are grouped and<br />

the most sensitive one, <strong>to</strong>wards a given threat, is identified (Lambeck 1997, 851). For the<br />

identification <strong>of</strong> threats and subsequent focal community determination, various methods<br />

have been employed. These include expert surveys and literature reviews (Hess and King<br />

2002, 29, 35) or analysis <strong>of</strong> existing data sets and validation through field surveys (Brooker<br />

2002, 187; Bani et al. 2002, 827; Lambeck 1997, 852).<br />

Within the production landscape (i.e. the area under consideration) any remaining remnant<br />

patches are next identified through aerial pho<strong>to</strong>graphy and then validated through vegetation<br />

surveys. In addition, the habitat quality <strong>of</strong> these patches is also established during surveying<br />

(Brooker 2002, 188). To determine the remnant patches required by the set <strong>of</strong> focal species,<br />

the following needs <strong>to</strong> be established: the focal species’ habitat requirements, an estimation<br />

<strong>of</strong> the range <strong>of</strong> population densities and an estimation <strong>of</strong> viable population sizes. From this,<br />

the area <strong>of</strong> habitat able <strong>to</strong> maintain viable populations <strong>of</strong> each focal species can be<br />

determined (viable population size divided by density). Thus, the required habitat size for a<br />

focal species can be mapped and then overlaid <strong>with</strong> all other focal species maps (Hess and<br />

King 2002, 35). Again various methods have been applied <strong>to</strong> determine this. These may<br />

include literature reviews followed by expert surveys (Hess and King 2002, 35), literature<br />

reviews followed by a statistical analyses (Brooker 2002, 187) or site surveys followed by a<br />

statistical analyses (Bani et al. 2002, 828).<br />

57 This has been described in detail in chapter 4.3.3.<br />

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4. RESULTS<br />

The primary criticism <strong>of</strong> FSA deals <strong>with</strong> the assumption that the identified focal community<br />

covers the needs <strong>of</strong> all biota <strong>with</strong>in a given landscape. This argument has been raised by<br />

several authors (e.g. Noss et al. 1997, 118; Lindenmayer et al. 2002, 338; Lindenmayer and<br />

Fischer 2003, 150). Due <strong>to</strong> the complex and <strong>of</strong>ten poorly unders<strong>to</strong>od requirements <strong>of</strong><br />

individual species, this taxon-based surrogate approach attempts <strong>to</strong> reach an unrealistic<br />

goal, e<strong>special</strong>ly since conservation actions for one particular taxon do not result in successful<br />

conservation <strong>of</strong> other taxa. The effects <strong>of</strong> landscape change and habitat fragmentation or<br />

alteration can vary among species (Robinson et al. 1992, 54) and among groups <strong>of</strong> species<br />

(Gascon et al. 1999, 223).<br />

A second critique lies in the identification <strong>of</strong> focal species, key threatening processes and<br />

their interactions. Identifying the focal species and their threats has caused difficulties due <strong>to</strong><br />

a general lack <strong>of</strong> available species data (Lindenmayer et al. 2002, 340).<br />

4.3.1.5 Rapid Ecological <strong>Assessment</strong> (REA)<br />

To achieve an efficient characterisation <strong>of</strong> the landscape and species level <strong>of</strong><br />

biodiversity, using scientifically sound methodology, the REA first delineates either the<br />

vegetation classes or the land use-land cover classes through satellite imagery and aerial<br />

pho<strong>to</strong>graphy. This is important firstly <strong>to</strong> characterise and map the distribution, abundance<br />

and condition <strong>of</strong> biodiversity at the landscape level and secondly <strong>to</strong> establish a sampling<br />

framework <strong>with</strong>in which <strong>to</strong> conduct field sampling (Sayre et al. 2000, 81). Next an overflight<br />

should provide a general familiarity <strong>of</strong> the study area and collect valuable data on vegetation<br />

types (Sayre et al. 2000, 70). Following this, grond truthing is performed <strong>to</strong> <strong>identify</strong> and verify<br />

the delineation <strong>of</strong> vegetation classes. The intensity <strong>of</strong> sampling will depend on the exact<br />

objective <strong>of</strong> the assessment (Sayre et al. 2000, 82; Meerman et al. 2003, 4). The field team<br />

collects data on vegetation structure and dominance and on environmental parameters, such<br />

as slope, aspect and <strong>to</strong>pographic positioning. In addition, plant diversity at the species level<br />

is also characterised and specimens are collected as part <strong>of</strong> a thorough inven<strong>to</strong>ry (Sayre et<br />

al. 2000, 89). Subsequently, fauna inven<strong>to</strong>ries can be taken at these sites (Sayre et al. 2000,<br />

93). The fauna analysed normally includes birds, mammals, reptiles, amphibians and, where<br />

appropriate, fish or invertebrates (Sayre et al. 2000, 96; Meerman et al. 2003, 4). To facilitate<br />

the maximum number <strong>of</strong> species identified, multiple field visits should be made, taking in<strong>to</strong><br />

account seasonality (Meerman et al. 2003, 5). However, this choice <strong>of</strong> methodology is<br />

extremely time and personnel intensive (Interview Partner I). The choice <strong>of</strong> surveyed taxa will<br />

depend on the time and resources available (Sayre et al. 2000, 95) and is also <strong>of</strong>ten based<br />

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4. RESULTS<br />

on such considerations as conservation value (i.e. target species), indica<strong>to</strong>r value (i.e.<br />

indica<strong>to</strong>r species), ecosystem value (i.e. keys<strong>to</strong>ne species) and detectability (Sayre et al.<br />

2000, 96). Target species for conservation are any species that are listed as threatened or<br />

endangered by the IUCN red list or listed in appendix I or II <strong>of</strong> CITES (Sayre et al. 2000, 98).<br />

The REA prouces a final map <strong>of</strong> vegetation types derived from image interpretation and<br />

verified in the field. This map is a comprehensive characterisation <strong>of</strong> landscape and site<br />

level biodiversity and is extremely suitable for management planning. It also forms the basis<br />

for threat assessments and the formulation <strong>of</strong> recommendations. In addition, other thematic<br />

maps may be produced. Again, this will depend on the exact objectives and may include<br />

species <strong>of</strong> conservation concern maps or threat maps (Sayre et al. 2000, 74; Meerman et al.<br />

2003, 45).<br />

The REA employs a broad range <strong>of</strong> methods for site identification and is therefore extremely<br />

comprehensive in its characterisation <strong>of</strong> the landscape under consideration. It is, however,<br />

notably time and resource intensive which is described in the subsequent chapter.<br />

Overall, the ERBC approach is able <strong>to</strong> implement the most broad range methods. This is<br />

followed closely by the REA, then the HCV concept and the FSA. The KBA approach makes<br />

use <strong>of</strong> the least amount <strong>of</strong> methods for site choice.<br />

A ranking <strong>of</strong> the <strong>approaches</strong> for the criterion G (Methods for Site Choice) is covered in<br />

chapter 4.3.4.<br />

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4. RESULTS<br />

4.3.2 Required Resources<br />

The majority <strong>of</strong> information for this criterion (H. Required Resources) was obtained from the<br />

interviews, predominantly in the form <strong>of</strong> estimations. These show great variations for all three<br />

sub-criteria.<br />

Minimum and maximum values 58 for all three criteria have been listed in Table 10. The<br />

financial cost estimates have been converted <strong>to</strong> euros (€) 59 and figures from earlier years<br />

were not adjusted for inflation.<br />

Table 10: Overview <strong>of</strong> required resources<br />

HVC KBA ERBC FSA REA<br />

Financial<br />

Resources<br />

(€) 59 • 5,600-<br />

65,000<br />

• 32,500<br />

(Country<br />

wide)<br />

• 100,000-<br />

235,000<br />

• 6,500-<br />

60,000<br />

• 50,000-<br />

170,000<br />

Human<br />

Resources<br />

Time<br />

Required<br />

Site size<br />

(ha)<br />

• International<br />

and/ or<br />

national<br />

experts;<br />

• Minimum: 4<br />

experts<br />

• 3-6 experts<br />

<strong>with</strong><br />

validation by<br />

expert panel<br />

• Very human<br />

resource<br />

intensive;<br />

• Many<br />

international<br />

and/ or<br />

national<br />

experts<br />

• University<br />

students<br />

and/ or<br />

• national<br />

experts<br />

• Many<br />

international<br />

and/ or<br />

national<br />

experts<br />

• 1-6 months • ~ 3 years • 1,5-2 years • 3-4 months • 12 months<br />

• ~ 100-<br />

200,000<br />

Key: n.d. = not determined<br />

ha = hectare<br />

Source: Own design<br />

• n.d.<br />

• 400,000-<br />

3,6 mill<br />

• ~ 1,000s -<br />

100,000s<br />

• n.d.<br />

58 For a detailed listing <strong>of</strong> all obtained information for each individual approach, please refer <strong>to</strong><br />

Appendix A7.<br />

59 Converted currency: XE (1995-2009): The Universal Currency Converter; (retrieved 18.10.2009)<br />

http://www.xe.com/<br />

1 US$ = 0.67 €; 1 € = 1.49 US$<br />

1 GB£ = 1.13 €; 1 € = 0.89 GB£<br />

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4. RESULTS<br />

In general, the identification <strong>of</strong> sites always requires the input <strong>of</strong> experts, irrespective <strong>of</strong> the<br />

approach used (Interview Partner A). In addition, the cost <strong>of</strong> any approach, or the<br />

identification phase there<strong>of</strong>, will depend on the size <strong>of</strong> the area <strong>to</strong> be assessed and on<br />

available data, time and experts <strong>to</strong> perform the assessment (Interview Partner D and J).<br />

Furthermore, the objective <strong>of</strong> the approach and therefore the quality <strong>of</strong> the required outcome<br />

will also play a significant role in the amount <strong>of</strong> resources needed (Interview Partner I).<br />

The following chapters (4.3.2.1 - 4.3.2.5) provide explanations <strong>to</strong> the resource requirements<br />

<strong>of</strong> the individual <strong>approaches</strong>.<br />

4.3.2.1 High Conservation Value (HCV) Concept<br />

The financial resources 60 required for the HCV assessment range from 5,600€ <strong>to</strong><br />

65,000€ (Interview Partner D and K). It should be noted that the values on cost and size<br />

obtained from Interview Partner C (100,000€ <strong>to</strong> map 10 mill hectares) were only possible at a<br />

very low resolution and <strong>with</strong> a lot <strong>of</strong> existing data (Interview Partner C) and have therefore<br />

not been used as maximum values for cost and site size. The minimum cost <strong>of</strong> an HCV<br />

assessment is approximately 5,600€ for a medium <strong>to</strong> large forestry operation <strong>with</strong> an<br />

average <strong>of</strong> 7,500€ <strong>to</strong> 11,000€. The average forest management unit (FMU) was estimated as<br />

100 <strong>to</strong> 10,000 hectares (Interview Partner D). The highest cost estimates lie between<br />

35,000€ <strong>to</strong> 65,000€ which are presented for large scale operations <strong>of</strong> between 20,000 and<br />

100,000 hectares (Interview Partner K). Thus, the size <strong>of</strong> the forest operation plays a very<br />

important role in the cost <strong>of</strong> the process. Furthermore, the data availability is also influential<br />

in the cost <strong>of</strong> a project. A HCV assessment can cost between 6,500€ <strong>to</strong> 10,000€ <strong>with</strong> valid<br />

available data, however these minimum and maximum value rise <strong>to</strong> 20,000€ <strong>to</strong> 25,000€ for<br />

the same size operation <strong>with</strong> no valid data available, since extensive field work will be<br />

required as part <strong>of</strong> the assessment (Interview Partner E).<br />

The average time for an individual HCV assessment is between 1 and 6 months <strong>with</strong> field<br />

work taking between 7 and 13 days (Interview Partner C, D, E, F and K). If the HCV<br />

assessment is part <strong>of</strong> an entire management plan, the process will take 2 <strong>to</strong> 3 years<br />

(Interview Partner E and F).<br />

The HCV process requires a minimum team <strong>of</strong> 3 <strong>to</strong> 4 experts, comprising a soil scientist, a<br />

biologist and a social scientist (Interview Partner G). The assessment is normally performed<br />

<strong>with</strong> a combination <strong>of</strong> international and national experts (Interview Partner D, E, F, G and K),<br />

e<strong>special</strong>ly for high impact operations (Interview Partner D). For low impact operations, the<br />

60 All required resources for the HCV concept are listed in detail in Appendix A7-1.<br />

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4. RESULTS<br />

assessment could be performed by non-experts <strong>with</strong> validation <strong>of</strong> results by experts<br />

(Interview Partner D).<br />

Overall, the HCV assessment is very efficient <strong>with</strong> regard <strong>to</strong> the financial, human and time<br />

resources required.<br />

4.3.2.2 Key Biodiversity Areas (KBA) Approach<br />

The financial resources 61 required for the KBA identification phase, for about ten<br />

different regions, were approximately 650€/ KBA site identified. Therefore, the cost <strong>of</strong> a<br />

national assessment would be in the order <strong>of</strong> 32,500€, for a country or region containing<br />

around 50 KBA. Unfortunately, this value is difficult <strong>to</strong> place in<strong>to</strong> perspective, since there are<br />

no fixed size limits <strong>to</strong> KBA. They range from very small <strong>to</strong> very large, depending on the<br />

management context and the species distribution <strong>of</strong> a given region (Langhammer et al. 2007,<br />

42; Interview Partner M). Therefore, no minimum or maximum site sizes can be defined.<br />

On average, the time required for a regional or national KBA identification is around 3 years.<br />

This time estimate and the indicated cost requirements do not really match and further data<br />

should be consulted for a more accurate conclusion. Nevertheless, the exact time required<br />

for an assessment will vary depending on the availability and accuracy <strong>of</strong> data. The general<br />

opinion is that this is probably faster than it should be, since the most effective processes<br />

were those involving extensive field surveys prior <strong>to</strong> identification. With the progression from<br />

IBA, IPA and others <strong>to</strong> KBA, these extensive field work components were not incorporated.<br />

KBA identification has instead <strong>of</strong>ten relied solely on literature, museum specimens and<br />

remotely sensed data (Interview Partner M).<br />

This process does not require a large amount <strong>of</strong> human resources <strong>to</strong> complete the<br />

identification phase. A team <strong>of</strong> 3-6 experts is sufficient. The results obtained from these<br />

experts will, however, be validated by a panel <strong>of</strong> experts, usually in the form <strong>of</strong> a workshop.<br />

Thus, a relatively small number <strong>of</strong> pr<strong>of</strong>essionals are involved in organising and managing the<br />

process <strong>with</strong> a much broader community participating in the review (Interview Partner M).<br />

On the whole, the KBA approach is efficient in its financial and human resources<br />

requirements, but, at the same time, is also extremely time consuming.<br />

61 All required resources for the KBA approach are listed in detail in Appendix A7-2.<br />

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4. RESULTS<br />

4.3.2.3 Ecoregion-Based Conservation (ERBC) Approach<br />

On average the ERBC approach costs between 100,000€ and 217,000€ 62<br />

(Interview Partner I and J). The cost estimate for China was not considered as the maximum<br />

value, as the size <strong>of</strong> the site was not given. <strong>Assessment</strong>s <strong>with</strong>in the United States have<br />

tended <strong>to</strong> be slightly less expensive than in other regions, due <strong>to</strong> the size <strong>of</strong> the assessment,<br />

the required human resources and available data (Interview Partner J). The size normally<br />

assessed during this approach ranges from 400,000 <strong>to</strong> 3.6 million hectares, the largest area<br />

<strong>to</strong> be looked at. It takes approximately one and a half <strong>to</strong> two years <strong>to</strong> complete and requires<br />

many experts, either international or national.<br />

In general, the ERBC approach is extremely resource and fairly time intensive, but it is also<br />

the approach that assesses the largest area.<br />

4.3.2.4 Focal Species Approach (FSA)<br />

Unfortunately, only rough estimates were obtained for the resources required 63 by<br />

the FSA. This approach can be implemented by either university students or experts. If the<br />

approach is being implemented <strong>with</strong>in a university setting, the cost will decrease, however<br />

the time required may increase (Interview Partner O). When performed by a group <strong>of</strong> experts<br />

it takes between 3 <strong>to</strong> 4 months and costs anywhere between 6,500€ and 60,000€ (Interview<br />

Partner O).<br />

Overall, the FSA is efficient in its personel and time requirements, but further data should be<br />

consulted <strong>to</strong> provide more accurate results on the cost <strong>of</strong> an assessment.<br />

4.3.2.5 Rapid Ecological <strong>Assessment</strong> (REA)<br />

The cost <strong>of</strong> an REA was estimated <strong>to</strong> lie between 50,000€ and 170,000€ 64 . It takes<br />

approximately 1 year <strong>to</strong> complete (Sayre et al. 2000, 37) and requires an extensive array <strong>of</strong><br />

experts (Sayre et al. 2000, 36, 79, 93; Interview Partner I). No values <strong>to</strong> maximum and<br />

minimum site sizes were found in the literature. The cost <strong>of</strong> an assessment will increase,<br />

e<strong>special</strong>ly when assessing remote <strong>areas</strong>, large spatial scales or high <strong>to</strong>pographic resolution.<br />

Furthermore, the faster the results are required, the higher the cost will be, for example, due<br />

<strong>to</strong> the requirement <strong>of</strong> large filed teams (CBD 2005, 11).<br />

On the whole, the REA has intensive human resource requirements, but can be completed in<br />

a relatively short time frame.<br />

62 All required resources for the ERBC approach are listed in detail in Appendix A7-3.<br />

63 All required resources for the FSA are listed in detail in Appendix A7-4.<br />

64 All required resources for the REA are listed in detail in Appendix A7-5.<br />

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4. RESULTS<br />

Due <strong>to</strong> the lack <strong>of</strong> data on the financial resource requirements and the exact size <strong>of</strong> an<br />

assessment area, the <strong>approaches</strong>’ differences in cost were not discussed further. However,<br />

when comparing the remaining two sub-criteria <strong>of</strong> required resources, the HCV concept and<br />

the FSA require the least input. They are followed by the REA, <strong>with</strong> the KBA and ERBC<br />

<strong>approaches</strong> requiring the most input.<br />

An overall ranking <strong>of</strong> the required resources for each individual <strong>approaches</strong> is further<br />

discussed in chapter 4.3.4.<br />

4.3.3 Data Requirements<br />

Each approach has specific data requirements that are needed <strong>to</strong> successfully complete an<br />

assessment. Certain requirements will be the same for the <strong>approaches</strong>, however some<br />

differences do exist. This section provides an overview <strong>of</strong> each approach’s specific data<br />

requirements, showing similarities and differences between the <strong>approaches</strong> for the subcriteria:<br />

use <strong>of</strong> existing data (C22), data acquisition (C23), data validation (C24) and remotely<br />

sensed data (C25) 65 . For the selected <strong>approaches</strong> each sub-criterion is addressed<br />

separately in the following chapters, as can be seen in Figure 19.<br />

Figure 19: Overview <strong>of</strong> sub-criteria for data requirements<br />

4.3.3<br />

Data Requirements<br />

Use <strong>of</strong> Existing<br />

Data<br />

4.3.3.1<br />

Use <strong>of</strong> Remote<br />

Sensing<br />

4.3.3.4<br />

Data Acquisition<br />

4.3.3.2<br />

Data Validation<br />

4.3.3.3<br />

Source: Own design<br />

65 For further detail on the individual approach’s data requirements, please refer <strong>to</strong> Appendix A8.<br />

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4. RESULTS<br />

4.3.3.1 Use <strong>of</strong> Existing Data<br />

An attempt should always be made <strong>to</strong> <strong>identify</strong> existing data sources, as a thorough<br />

knowledge <strong>of</strong> these enable a more efficient identification <strong>of</strong> further assessment requirements<br />

(Sayre et al. 2000, 81).<br />

Six <strong>areas</strong> <strong>of</strong> existing data sources, as shown in Figure 20, were identified during the course<br />

<strong>of</strong> this thesis. These include: macro-scale databases, micro-scale databases, species<br />

conservation status according <strong>to</strong> the IUCN red list, primary literature and expert<br />

knowledge, remotely sensed data sources and additional data sources which are made<br />

up <strong>of</strong> a wide collection <strong>of</strong> different references.<br />

Figure 20: Overview <strong>of</strong> existing data sources<br />

Macro-scale<br />

databases<br />

HCV<br />

ERBC<br />

REA<br />

Use <strong>of</strong> Existing Data<br />

(C22)<br />

Additional<br />

data sources<br />

HCV<br />

KBA<br />

ERBC<br />

REA<br />

Micro-scale<br />

databases<br />

HCV<br />

KBA<br />

FSA<br />

REA<br />

IUCN red list<br />

HCV<br />

KBA<br />

ERBC<br />

REA<br />

Literature<br />

and experts<br />

all<br />

<strong>approaches</strong><br />

Remotely<br />

sensed data<br />

all<br />

<strong>approaches</strong><br />

Source: Own design<br />

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4. RESULTS<br />

Remotely sensed data sources are employed by all <strong>approaches</strong> 66 .<br />

The IUCN red list provides the world’s largest data base and therefore, insight on the status<br />

and trends <strong>of</strong> species, focusing on those at greatest risk <strong>of</strong> extinction (Baillie et al. 2004, 2).<br />

Except for the FSA, all <strong>approaches</strong> employ information from this list <strong>to</strong> obtain knowledge on<br />

the conservation status <strong>of</strong> possible species <strong>with</strong>in an area <strong>of</strong> interest (Stewart et al. 2008, 13;<br />

Langhammer et al. 2007, 17; Groves et al. 2000, 3-8; Sayre et al. 2000, 81).<br />

All <strong>approaches</strong> review primary literature sources or make use <strong>of</strong> expert knowledge as<br />

existing data sources (Stewart et al. 2008, 13; Langhammer et al. 2007, 31; Dinerstein et al.<br />

2000, 51; Sayre et al. 2000, 81). Expert consultation should be an important step in<br />

<strong>identify</strong>ing existing data, as much <strong>of</strong> the information required for an assessment will be<br />

buried in the grey literature, in unpublished manuscripts or in the heads <strong>of</strong> experts<br />

(Dinerstein et al. 2000, 50).<br />

Figure 21 provides examples on the remaining three identified <strong>areas</strong> <strong>of</strong> existing data, namely<br />

macro-scale databases, micro-scale databases and additional data sources.<br />

Figure 21: Examples <strong>of</strong> existing data sources<br />

Macro-scale<br />

databases<br />

HCV<br />

ERBC<br />

REA<br />

Micro-scale<br />

databases<br />

HCV<br />

KBA<br />

FSA<br />

REA<br />

Additional<br />

data sources<br />

HCV<br />

KBA<br />

ERBC<br />

REA<br />

For example:<br />

Biodiversity hotspots<br />

Priority ecoregions<br />

Frontier forests<br />

Last <strong>of</strong> the wild<br />

For example:<br />

IBAs, IPAs, KBAs<br />

AZE<br />

National databases<br />

Local databases<br />

For example:<br />

Museum specimens<br />

Traditional knowledge<br />

Management plans<br />

Priority-setting plans<br />

Source: Own design<br />

66 For further clarification on the use <strong>of</strong> remote sensing, please refer <strong>to</strong> chapter 4.3.3.4.<br />

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4. RESULTS<br />

Macro-scale databases provide coarse filter maps and descriptions <strong>of</strong> regions <strong>with</strong> high<br />

levels <strong>of</strong> biodiversity or conservation significance (Stewart et al. 2008, 14). These databases<br />

include maps produced by <strong>approaches</strong>, such as Biodiversity Hotspots (Meyers et al. 2000),<br />

Priority Ecoregions (Olson and Dinerstein 1998), Last <strong>of</strong> the Wild Habitats (Sanderson et al.<br />

2002) and Frontier Forests (Bryant et al. 1997). The maps and databases provide an<br />

indication <strong>of</strong> likely conservation targets and are employed by the HCV concept (Stewart et al.<br />

2008, 14), the ERBC approach (Dinerstein et al. 2000, 35) and the REA (Sayre et al. 2000,<br />

81), as a source <strong>of</strong> existing data.<br />

In contrast, micro-scale databases provide fine filter maps and descriptions <strong>of</strong> group<br />

specific data provided by <strong>approaches</strong>, such as Important Bird Areas (IBA) (BirdLife<br />

International 2009), Important Plant Areas (IPA) (PlantLife International 2009), Key<br />

Biodiversity Areas (KBA) (Eken et al. 2004; Langhammer et al. 2007) and sites identified by<br />

the Alliance for Zero Extinction (AZE) (Alliance for Zero Extinction 2005), the latter being<br />

extremely important for preventing the extinction <strong>of</strong> critically endangered species (Interview<br />

Partner M). These maps are employed by the HCV concept (Stewart et al. 2008, pg 14), the<br />

KBA approach (Langhammer et al. 2007, 29, 30) and, if available, the REA (Sayre et al.<br />

2000, 81). National or local databases, which have also been placed under the heading <strong>of</strong><br />

micro-scale databases, are employed by the FSA (Brooker 2002, 187).<br />

Additional data sources include information from previously established management<br />

plans, ecoregional assessments, national and regional conservation plans or databases and<br />

priority setting exercises (Stewart et al. 2008, 13; Groves et al. 2000, viii; Sayre et al. 2000,<br />

81). At least one source <strong>of</strong> information from <strong>with</strong>in this very broad category is used by all <strong>of</strong><br />

the <strong>approaches</strong> 67 , except for the FSA, which does not employ any <strong>of</strong> the additional data<br />

sources.<br />

Obtaining valuable information is key <strong>to</strong> <strong>identify</strong>ing conservation targets. Therefore, all<br />

existing data should be collected during the scoping stage, thereby pinpointing data gaps<br />

and judging data quality and reliability. This leads <strong>to</strong> decisions on final team composition,<br />

methods <strong>of</strong> data acquisition (Stewart et al. 2008, 12, 15) and hence time requirements and<br />

cost (Hill et al. 2005, 5).<br />

67 More detailed information is provided in Appendix A8.<br />

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4. RESULTS<br />

4.3.3.2 Data Acquisition<br />

Data acquisition is extremely important <strong>to</strong> augment and replace missing and<br />

unreliable or outdated data. Existing data and the lack there<strong>of</strong> will pinpoint where, when and<br />

how this should be undertaken (Stewart et al. 2008, 15).<br />

For this thesis, methods <strong>of</strong> data acquisition were divided in<strong>to</strong> three categories: site visits,<br />

expert surveys and stakeholder surveys, as can be seen in Figure 22.<br />

Figure 22: Overview <strong>of</strong> methods employed for data acquisition<br />

Data Acquisition<br />

All <strong>approaches</strong><br />

Site visit<br />

All<br />

<strong>approaches</strong><br />

Expert<br />

surveys<br />

HCV<br />

KBA<br />

ERBC<br />

FSA<br />

Stakeholder<br />

Surveys<br />

HCV<br />

KBA<br />

ERBC<br />

Inven<strong>to</strong>ries<br />

KBA, ERBC, FSA, REA<br />

Rapid assessment<br />

all <strong>approaches</strong><br />

Remote sensing<br />

HCV, ERBC, FSA, REA<br />

Source: Own design<br />

Site visits are essential components <strong>of</strong> data acquisition, as these <strong>identify</strong> or confirm<br />

conservation values and features <strong>of</strong> interest and assess their overall <strong>importance</strong> (Hill et al.<br />

2005, 95).<br />

Targeted surveys <strong>of</strong> experts and stakeholders provide the best information for decision<br />

making <strong>with</strong> limited resources and time (Dinerstein et al. 2000, 63). They provide experience,<br />

knowledge and understanding <strong>of</strong> the biota and threats affecting the integrity <strong>of</strong> an ecoregion<br />

and the persistence <strong>of</strong> important ecological processes, habitats and species assemblages<br />

(Dinerstein et al. 2000, 9). Using stakeholder knowledge and opinion in the assessment,<br />

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4. RESULTS<br />

imparts ownership and pride in the process, ensuring a certain degree <strong>of</strong> implementation<br />

success (Interview Partner M).<br />

All <strong>approaches</strong> have been designed <strong>to</strong> employ a combination <strong>of</strong> methods <strong>with</strong>in these loose<br />

categories. The exact combination <strong>of</strong> methods employed by any approach will also depend<br />

on the objectives and required outcome <strong>of</strong> the assessment (Hill et al. 2005, 3).<br />

All <strong>approaches</strong> make use <strong>of</strong> site visits <strong>to</strong> obtain information for the identification process. A<br />

rapid assessment is the most wide-spread method employed (Stewart et al. 2008, 24;<br />

Langhammer et al. 2007, 22, 30; Dinerstein et al. 2000, 230; Dinerstein et al. 2001, appendix<br />

A 2; Brooker 2002, 187; Lambeck 1997, 855; Sayre et al. 2000, 84) which, as per definition,<br />

is a fast, efficient and cost efficient <strong>to</strong>ol for obtaining information on biodiversity (Oliver et al.<br />

1993, 562). In contrast, an inven<strong>to</strong>ry is far more time-consuming, requires considerable<br />

organisation and methodological rigour (Sayre et al. 2000, 82), and is therefore, employed by<br />

less methods. These include the KBA approach (Langhammer et al. 2007, 19), ERBC<br />

(Dinerstein et al. 2001, 21), the FSA (Bani et al. 2002, 826; Lambeck 1997, 855) and the<br />

REA (Sayre et al. 2000, 82). The HCV process (Stewart et al. 2008, 25), the ERBC approach<br />

(Dinerstein et al. 2001, 51), the FSA (Bani et al. 2002, 828) and the REA (Sayre et al. 2000,<br />

81) acquire data through remote sensing technology 68 .<br />

The HCV concept, the KBA and ERBC <strong>approaches</strong> employ both expert and stakeholder<br />

surveys as a means <strong>of</strong> acquiring data (Stewart et al. 2008, 17, 18; Langhammer et al. 2007,<br />

31; Dinerstein et al. 2000, 51,151). The KBA approach uses stakeholder surveys <strong>to</strong> refine<br />

the delineation <strong>of</strong> KBA designated sites (Langhammer et al. 2007, 50), whereas the FSA<br />

makes use <strong>of</strong> expert surveys <strong>to</strong> <strong>identify</strong> the focal community, their habitat requirements and<br />

distribution range, as well as <strong>to</strong> estimate viable population sizes (Hess and King 2002, 30).<br />

Overall, all <strong>approaches</strong> employ a varying range <strong>of</strong> <strong>to</strong>ols for data acquisition. However, all<br />

acquired or existing data should always be validated <strong>to</strong> ensure the reliability and overall<br />

confidence in an assessment (CBD 2005, 11).<br />

68 For further detail on the use <strong>of</strong> remote sensing, please refer <strong>to</strong> chapter 4.3.3.4.<br />

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4. RESULTS<br />

4.3.3.3 Data Validation<br />

Every data set has limitations or biases which need <strong>to</strong> be considered during the<br />

identification stage (Langhammer et al. 2007, 33). For this thesis, three main categories <strong>of</strong><br />

data validation were identified, namely site visits, expert surveys and literature or peer<br />

reviews.<br />

All <strong>approaches</strong> make use <strong>of</strong> a combination <strong>of</strong> different <strong>to</strong>ols for data validation 69 , depending<br />

on the resources and time available, as well as the objective <strong>of</strong> the assessment (Interview<br />

Partner I).<br />

Figure 23 provides an overview <strong>of</strong> all validation <strong>to</strong>ols that are employed by the <strong>approaches</strong>.<br />

Figure 23: Overview <strong>of</strong> validation <strong>to</strong>ols<br />

Data validation<br />

All <strong>approaches</strong><br />

Site visit<br />

All<br />

<strong>approaches</strong><br />

Rapid assessment<br />

HCV, KBA,<br />

ERBC, REA<br />

Ground truthing<br />

HCV, KBA, ERBC,<br />

FSA, REA,<br />

Expert<br />

surveys<br />

HCV<br />

KBA<br />

FSA<br />

Literature/<br />

reviews<br />

HCV<br />

KBA<br />

ERBC<br />

REA<br />

Museum collections <strong>of</strong><br />

species<br />

KBA<br />

Peer reviewing<br />

HCV, KBA,<br />

ERBC, REA<br />

Source: Own design<br />

69 Please refer <strong>to</strong> Appendix A8, for more detail on the individual <strong>approaches</strong>‘ validation methodology<br />

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4. RESULTS<br />

All <strong>approaches</strong> make use <strong>of</strong> site visits for data validation. Rapid assessments or ground<br />

truthing <strong>of</strong> maps are employed by all <strong>of</strong> the <strong>approaches</strong>. The KBA approach uses site visits,<br />

museum records and expert surveys <strong>to</strong> increase the reliability <strong>of</strong> data, such as species<br />

occurrence or point locality data. It also foresees the validation <strong>of</strong> existing micro-scale<br />

databases, such as IBA, IPA and the AZE (Langhammer et al. 2007, 34, 35). The HCV<br />

concept verifies maps or databases <strong>of</strong> endangered or threatened conservation targets<br />

through ground truthing (Stewart et al. 2008, 25, 26) and rapid assessments (Stewart et al.<br />

2008, 25, 26; Stewart 2009, 7). Therefore, the uncertainty <strong>of</strong> uneven or poor quality data is<br />

reduced (Stewart et al. 2008, 20). The ERBC approach and the REA confirms its remotely<br />

sensed data through ground truthing (Dinerstein et al. 2000, 151; Sayre et al. 2000, 81).<br />

The FSA has used expert surveys <strong>to</strong> confirm candidate focal species and habitat<br />

requirements (Hess and King 2002, 30).<br />

Peer reviewing enhances the value and effectiveness <strong>of</strong> an assessment report (Sayre et al.<br />

2000, 139) and is included in the HCV concept (HCV Resource Network 2005-07), the KBA<br />

approach (Interview Partner M), the ERBC approach (Dinerstein et al. 2000, 231) and REA<br />

(Sayre et al. 2000, 139). In addition, it is vital that all results <strong>of</strong> a REA include an overall<br />

estimation on confidence (CBD 2006, 12), endowing validity on<strong>to</strong> the assessment. The same<br />

has been suggested for species occurrence data under the KBA approach (Langhammer et<br />

al. 2007, 35). This approach alone requires, where possible, that identified species be traced<br />

<strong>to</strong> sources in museum collections or herbariums (Langhammer et al. 2007, 32) and that the<br />

presence <strong>of</strong> a species be confirmed prior <strong>to</strong> a site being considered for KBA status<br />

(Langhammer et al. 2007, 35). In practice, however, data validation has not been this<br />

rigorous, as identification has <strong>of</strong>ten purely been based on literature, museum specimens and<br />

remote sensing (Interview Partner M).<br />

In general, all <strong>approaches</strong> validate existing and acquired data <strong>to</strong> increase the reliability <strong>of</strong> the<br />

assessment. Amongst the three validation <strong>to</strong>ols looked at during this thesis, site visits are<br />

most commonly implemented by the <strong>approaches</strong>.<br />

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4. RESULTS<br />

4.3.3.4 Use <strong>of</strong> Remote Sensing<br />

Advancement in remote sensing technology has increased the resolution and<br />

quality <strong>of</strong> landscape data tremendously over the past years and the cost <strong>of</strong> obtaining such<br />

data is continuously decreasing (Turner et al. 2003, 306, 312). Although the incorporation <strong>of</strong><br />

remote sensing in conservation work always requires technical expertise and needs <strong>to</strong> be<br />

validated through ground truthing (Turner et al. 2003, 312; Interview Partner J), it may lead <strong>to</strong><br />

a decrease in overall assessment costs and required time (Langhammer et al. 2007, 10) <strong>with</strong><br />

a consequence <strong>of</strong> ultimately aiding the overall efficiency <strong>of</strong> the approach.<br />

All <strong>approaches</strong> implement remote sensing technology; however, the exact uses differ<br />

between <strong>approaches</strong>, as is shown in Figure 24.<br />

Figure 24: Overview <strong>of</strong> employed remote sensing technology<br />

Remote sensing<br />

Aerial pho<strong>to</strong>graphy &<br />

satellite imagery<br />

All <strong>approaches</strong><br />

General<br />

overview<br />

HCV<br />

REA<br />

Delineation<br />

HCV<br />

ERBC<br />

FSA<br />

Data<br />

acquisition<br />

HCV<br />

KBA<br />

ERBC<br />

Initial landscape<br />

characterisation<br />

REA<br />

Broad framework for<br />

site-scale decisions<br />

HCV<br />

Source: Own design<br />

Macro-scale mapping<br />

HCV<br />

Micro-scale mapping<br />

ERBC, FSA<br />

<strong>Assessment</strong> <strong>of</strong><br />

current condition<br />

HCV, ERBC<br />

<strong>Assessment</strong> <strong>of</strong> threats<br />

ERBC<br />

Moni<strong>to</strong>ring<br />

KBA, ERBC<br />

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4. RESULTS<br />

The HCV concept and REA apply the technology <strong>to</strong> obtain a general overview at a macroscale.<br />

The HCV concept establishes a broad framework for site scale decisions which<br />

enables the establishment <strong>of</strong> appropriate limits <strong>to</strong> the landscape level assessment at a<br />

coarse scale (Stewart 2009, pg 7, Stewart and Rayden 2009, 8). The REA performs an initial<br />

landscape characterisation based on remotely sensed data (Sayre et al. 2000, 68, 81; CBD<br />

2006, 11).<br />

In contrast, the KBA approach, the ERBC approach and the FSA use remotely sensed<br />

information for delineation <strong>of</strong> sites at a micro-scale. KBA sites are themselves <strong>of</strong>ten<br />

identified purely on literature, museum specimens and remote sensing (Interview Partner M).<br />

Whereas the FSA relies on remote sensing <strong>to</strong> delineate remnant patches <strong>with</strong>in the study<br />

area (Lambeck 1997, 854; Bani et al. 2002, 828) and the ERBC approach requires this<br />

information for the precise delineation <strong>of</strong> ecoregion and sub-region boundaries (Dinerstein et<br />

al. 2000, 75).<br />

Three <strong>of</strong> the assessed <strong>approaches</strong>, namely the HCV concept, the KBA approach and the<br />

ERBC approach, use remote sensing technology for data acquisition. The ERBC approach<br />

uses this source <strong>of</strong> data most extensively, e<strong>special</strong>ly for moni<strong>to</strong>ring <strong>of</strong> habitat quality, notably<br />

in inaccessible forest regions (Dinerstein et al. 2001, 51) and <strong>to</strong> assess the current condition<br />

<strong>of</strong> <strong>areas</strong> <strong>of</strong> interest (Dinerstein et al. 2001, 86). The HCV concept uses remote sensing for<br />

acquiring data on current conditions <strong>of</strong> significant landscape level regions (HCV2) (Stewart et<br />

al. 2008, 25), whereas the KBA approach employs this technology as a cost effective and<br />

relatively rapid moni<strong>to</strong>ring <strong>to</strong>ol, <strong>to</strong> determine the status <strong>of</strong> biodiversity at a broad scale<br />

(Langhammer et al. 2007, 83; Interview Partner M).<br />

With the continuously decreasing cost and increasing spectral and spatial resolution (Turner<br />

et al. 2003, 306, 313), the use <strong>of</strong> remote sensing, as a data source, is becoming more widespread.<br />

Furthermore, the advances in this technology, providing direct and indirect measures<br />

<strong>of</strong> biodiversity, have also lead <strong>to</strong> a wide divergence in its application (Turner et al. 2003,<br />

306). These facts are reflected in the results obtained during this thesis which show a widespread,<br />

yet different use in the implementation <strong>of</strong> remote sensing.<br />

All <strong>approaches</strong> are able <strong>to</strong> employ a variety <strong>of</strong> different sources <strong>to</strong> fulfill their data<br />

requirements and are also more or less flexible in their exact choice <strong>of</strong> <strong>to</strong>ols <strong>to</strong> make use <strong>of</strong><br />

existing data, acquire and validate data sets and <strong>to</strong> incorporate remote sensing technology in<br />

their assessment. The HCV concept utilizes the widest range <strong>of</strong> different data sources. This<br />

is followed by the KBA and ERBC <strong>approaches</strong> and the REA. In contrast, the FSA employs<br />

the least amount <strong>of</strong> data sources looked at during this thesis.<br />

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4. RESULTS<br />

4.3.4 Interim Summary III<br />

For Group III (Input) criteria, the <strong>approaches</strong> were evaluated based on a ranking system<br />

which was established individually for each criterion. Criteria G (methods for site choice)<br />

and I (data requirements) were dealt <strong>with</strong> as a whole, whereas the sub-criteria for criterion<br />

H (required resources) were ranked separately 70 .<br />

This chapter provides an overview <strong>of</strong> the results obtained for the additional criteria, thus<br />

providing transparency <strong>to</strong> the ranking <strong>of</strong> the <strong>approaches</strong>. Any deviations from the original<br />

ranking system, as established in chapter 2.2.7, are explained in this chapter.<br />

Criterion G: Methods for Site Choice<br />

Table 11 shows an overview <strong>of</strong> the methods that can be employed by the various<br />

<strong>approaches</strong> for site choice. Not all methods are employed simultaneously by the <strong>approaches</strong><br />

during site identification, but this overview rather provides an indication <strong>of</strong> an approach’s<br />

flexibility in terms <strong>of</strong> the available methods it may implement. Furthermore, differences or<br />

precise implementation rigour <strong>of</strong> methods by different practitioners is not considered. The<br />

exact methodology will change <strong>with</strong> varying objectives and <strong>with</strong> the available resources at<br />

hand (Interview Partner L). Thus, in general, the more methods at an approach’s disposal,<br />

the more flexible and versatile the approach is.<br />

70 The ranking methodology and classes are described in chapter 2.2.7, Additional Criteria.<br />

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4. RESULTS<br />

Table 11: Approach ranking according <strong>to</strong> their methods for site choice<br />

Group III<br />

Input<br />

Criteria G<br />

Methods for<br />

Site Choice<br />

Subcriteria<br />

Site visits<br />

(C16)<br />

Surveys<br />

(C17)<br />

Additional<br />

methods<br />

(C18)<br />

HCV KBA ERBC FSA REA<br />

Inven<strong>to</strong>ries – X – – X<br />

Rapid assessments X X X X X<br />

Indica<strong>to</strong>r species X – X X X<br />

Ground truthing X – X X X<br />

Field surveys X X X X X<br />

Expert surveys – – X X –<br />

Stakeholder surveys X – X – X<br />

Remote sensing X X X X X<br />

Existing data X X X X X<br />

Models – – X – –<br />

Environmental indica<strong>to</strong>rs – – X – –<br />

Total 11 7 5 10 7 8<br />

Rank 2 3 1 3 2<br />

Key: X = employed – = not employed<br />

Rank: 1 = 9-11 methods that may be applied<br />

2 = 6-8 methods that may be applied<br />

3 = 2-5 methods that may be applied<br />

Source: Own design<br />

The ERBC approach was placed first, as it is able <strong>to</strong> make use <strong>of</strong> all identified methods,<br />

except for inven<strong>to</strong>ries. The REA is able <strong>to</strong> employ 8 different methods for site choice, relying<br />

less on models and environmental indica<strong>to</strong>rs. Since this assessment is predominantly<br />

performed in <strong>areas</strong> <strong>with</strong> little or no information (Sayre et al. 2000, 33, 81), models and<br />

environmental indica<strong>to</strong>rs would be less suitable (Interview Partner J). The FSA and the HCV<br />

concept can both apply 7 different methods. These <strong>approaches</strong> do not make use <strong>of</strong> detailed<br />

inven<strong>to</strong>ries, models and environmental indica<strong>to</strong>rs. The first being resource and time intensive<br />

(CBD 2005, 6) and the latter two requiring additional testing and validation via ground<br />

truthing (Interview Partner J), since they momentarily still present certain weaknesses<br />

(Langhammer et al. 2007, 10). Even though the FSA can apply the same number <strong>of</strong> methods<br />

as the HCV concept and the REA, it was only ranked third. Firstly, this taxon-based<br />

surrogate scheme assumes that conservation actions for one specific taxon will result in the<br />

successful conservation <strong>of</strong> other taxa (Noss et al. 1997, 118; Lindenmeyer et al. 2002, 338;<br />

86


4. RESULTS<br />

Lindenmeyer and Fischer 2003, 150). Secondly, the identification <strong>of</strong> the focal species and<br />

their threats has caused difficulties (Lindenmeyer et al. 2002, 340). Hence, these two main<br />

criticisms 71 have prompted the approach <strong>to</strong> be ranked third, <strong>to</strong>gether <strong>with</strong> the KBA approach.<br />

The KBA approach has only 5 methods at its disposal and was, therefore, placed third. It<br />

relies very heavily on existing data and remote sensing <strong>with</strong> site visits only being included<br />

funding permitted (Interview Partner M). Furthermore, the KBA approach does not<br />

incorporate stakeholder opinion or knowledge (eg. through surveys) for site identification<br />

which is known <strong>to</strong> pose problems for implementation success (Interview Partner M) 72.<br />

Criterion H: Required Resources<br />

One <strong>of</strong> the most important criteria for comparing the <strong>approaches</strong> is criterion H<br />

(required resources). Cost, personnel and time are key components for determining the<br />

exact procedure <strong>of</strong> all <strong>approaches</strong>.<br />

The sub-criterion, financial resources 73 , was not discussed here, since these estimates are<br />

all fairly similar, e<strong>special</strong>ly when taking the size <strong>of</strong> the site in<strong>to</strong> consideration. For an accurate<br />

assessment here<strong>of</strong>, more data on the cost and size <strong>of</strong> a project would be required.<br />

Table 12 provides a coarse ranking <strong>of</strong> the sub-criteria: human resources and required time.<br />

Table 12: Approach ranking according <strong>to</strong> their required resources<br />

Group III<br />

Input<br />

Sub-criteria HCV KBA ERBC FSA REA<br />

human resources<br />

(C20)<br />

moderate moderate highest moderate highest<br />

Criterion H<br />

Rank 2 2 3 2 3<br />

Required<br />

resources<br />

Required time<br />

(C21)<br />

1-6<br />

months<br />

3<br />

years<br />

1.5-2<br />

years<br />

3-4<br />

months<br />

12<br />

months<br />

Rank 1 3 2 1 1<br />

C20 rank: 1 = least human resource requirements<br />

2 = moderate human resource requirements<br />

3 = highest human resource requirements<br />

C21 rank: 1 = 1-12 months<br />

2 = 1-2,5 years<br />

3 = ≥ 3 years<br />

Source: Own design<br />

71 Please refer <strong>to</strong> Methods for Site Choice, chapter 4.3.1.4, and Appendix A6-4 for a more detailed<br />

explanation.<br />

72 Please refer <strong>to</strong> Methods for Site Choice, chapter 4.3.1.2 and Appendix A6-2 for more information.<br />

73 An overview <strong>of</strong> the financial data obtained for the individual <strong>approaches</strong> can be seen in chapter<br />

4.3.2 and Appendix 7.<br />

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4. RESULTS<br />

The HCV concept, the KBA approach and the FSA are all fairly similar in their human<br />

resource requirements and have, thus, all been ranked second. In contrast, the ERBC<br />

approach and the REA are far more intensive in their personnel needs which has placed<br />

them third.<br />

The average time needed <strong>to</strong> complete an assessment lies under or around one year for the<br />

HCV concept, the FSA and the REA. They have, therefore, all been placed first. The ERBC<br />

approach takes between 1.5 and 2 years, whereas the KBA approach requires at least 3<br />

years for completion. Hence, the ERBC approach was ranked second and the KBA approach<br />

third.<br />

Criterion I: Data Requirements<br />

Table 13 (see next page) shows an overview <strong>of</strong> the <strong>approaches</strong>’ data sources. Not all<br />

data sources are utilized for each assessment, but instead this list shows the flexibility and<br />

versatility in the <strong>approaches</strong>’ ability <strong>to</strong> use different information sources. The more data<br />

sources that can be implemented, the stronger the approach was ranked 74 .<br />

74 Please refer <strong>to</strong> Appendix A1, Key Question I, for further information.<br />

88


4. RESULTS<br />

Table 13: Approach ranking according <strong>to</strong> their data sources<br />

Group III Subcriteria<br />

HCV KBA ERBC FSA REA<br />

Input<br />

Criterion I<br />

Data<br />

requirements<br />

Existing<br />

data (C22)<br />

Data<br />

acquisition<br />

(C23)<br />

Macro-scale<br />

databases<br />

Micro-scale<br />

databases<br />

X – X – X<br />

X X – X X<br />

Red list X X X – X<br />

Literature and<br />

experts<br />

Remotely sensed<br />

data<br />

Additional data<br />

sources<br />

X X X X X<br />

X X X X X<br />

X X X – X<br />

Site visits X X X X X<br />

Expert surveys X X X X –<br />

Stakeholder<br />

surveys<br />

X X X – –<br />

Data<br />

validation<br />

(C24)<br />

Remote<br />

sensing<br />

(C25)<br />

Site visits X X X X X<br />

Expert surveys X X – X –<br />

Literature/ reviews X X X – X<br />

General overview X – – – X<br />

Delineation X – – X –<br />

Data acquisition X X X – –<br />

Total 15 15 12 11 8 10<br />

Ranking 1 2 2 3 2<br />

Key: X = employed – = not employed<br />

Rank: 1 = 13-15; 2 = 10-12; 3 = 7-9 different data sources<br />

Source: Own design<br />

The HCV concept can make use <strong>of</strong> all identified sources <strong>of</strong> data for all four sub-criteria and<br />

was, therefore, placed first. The KBA approach, the ERBC approach and the REA were all<br />

ranked second, whereas the FSA was placed third. Even though the REA does not make<br />

use <strong>of</strong> stakeholder surveys as a form <strong>of</strong> data acquisition, it does incorporate a source <strong>of</strong><br />

traditional knowledge in the planning stages <strong>of</strong> the assessment (CBD 2005, iii; Sayre et al.<br />

2000, 13).<br />

89


4. RESULTS<br />

4.4 Summary<br />

In order <strong>to</strong> determine the overall efficiency <strong>of</strong> the <strong>approaches</strong>, all groups and their respective<br />

key questions, criteria and sub-criteria needed <strong>to</strong> be assessed so that a comparison <strong>of</strong> the<br />

<strong>approaches</strong> could be made. As per definition, efficiency 75 is output relative <strong>to</strong> input. Even<br />

though this thesis was unable <strong>to</strong> obtain any information on output (Group V. Effectiveness),<br />

it has still assessed: Groups I. (Environmental), II. (Implementation), III. (Input) and IV.<br />

(Supplementary), providing a detailed comparison <strong>of</strong> the different <strong>approaches</strong>.<br />

Table 14 provides an overview <strong>of</strong> the results obtained for the criteria assessed during the<br />

strength-weakness analysis.<br />

Table 14: Overview <strong>of</strong> classification <strong>of</strong> criteria for strength-weakness analysis<br />

Group Criteria HCV KBA ERBC FSA REA<br />

I.<br />

Ecology<br />

II.<br />

Implementation<br />

IV.<br />

Supplementary<br />

Source: Own design<br />

A. Addressed<br />

biodiversity levels<br />

B. Addressed<br />

ecosystem types<br />

C. Geographic<br />

scale <strong>of</strong><br />

applicability<br />

D. Level <strong>of</strong><br />

Approach<br />

E. Implementation<br />

Style<br />

F. Suitability <strong>of</strong><br />

intended users<br />

J. Scoping<br />

assessment<br />

K. Consideration <strong>of</strong><br />

threats<br />

L. Moni<strong>to</strong>ring<br />

recommendations<br />

M. Management<br />

recommendations<br />

Very<br />

strong<br />

(++)<br />

Weak<br />

(-)<br />

Strong<br />

(+)<br />

Strong<br />

(+)<br />

Very<br />

strong<br />

(++)<br />

Very<br />

strong<br />

(++)<br />

Very<br />

strong<br />

(++)<br />

Very<br />

strong<br />

(++)<br />

Very<br />

strong<br />

(++)<br />

Very<br />

strong<br />

(++)<br />

Average<br />

(0)<br />

Strong<br />

(+)<br />

Average<br />

(0)<br />

Strong<br />

(+)<br />

Average<br />

(0)<br />

Strong<br />

(+)<br />

Weak<br />

(-)<br />

Very<br />

strong<br />

(++)<br />

Very<br />

strong<br />

(++)<br />

Very<br />

strong<br />

(++)<br />

Very<br />

strong<br />

(++)<br />

Very<br />

strong<br />

(++)<br />

Very<br />

strong<br />

(++)<br />

Strong<br />

(+)<br />

Very<br />

strong<br />

(++)<br />

Very<br />

strong<br />

(++)<br />

Very<br />

strong<br />

(++)<br />

Very<br />

strong<br />

(++)<br />

Very<br />

strong<br />

(++)<br />

Very<br />

strong<br />

(++)<br />

Weak<br />

(-)<br />

Average<br />

(0)<br />

Strong<br />

(+)<br />

Very<br />

strong<br />

(++)<br />

Very<br />

strong<br />

(++)<br />

Weak<br />

(-)<br />

Average<br />

(0)<br />

Very<br />

strong<br />

(++)<br />

Very<br />

strong<br />

(++)<br />

Very<br />

strong<br />

(++)<br />

Strong<br />

(+)<br />

Very<br />

strong<br />

(++)<br />

Very<br />

strong<br />

(++)<br />

Very<br />

strong<br />

(++)<br />

Very<br />

strong<br />

(++)<br />

Very<br />

strong<br />

(++)<br />

Very<br />

strong<br />

(++)<br />

Very<br />

strong<br />

(++)<br />

Very<br />

strong<br />

(++)<br />

Very<br />

strong<br />

(++)<br />

75 Please refer <strong>to</strong> chapter 7, General Terms, for a definition here<strong>of</strong>.<br />

90


4. RESULTS<br />

As seen in Figure 25 (see next page), Group I (Ecology) and II (Implementation) resulted in<br />

a higher variation in results for their respective criteria than Group IV (Supplementary). This<br />

group produced negligible differences <strong>with</strong> only criterion J (scoping assessment) receiving a<br />

weak and average classification for the KBA approach and the FSA, respectively. The<br />

remaining criteria in Group IV were all classified as very strong, hence producing few marked<br />

distinctions between the <strong>approaches</strong>. Group I and Group II, on the other hand, showed<br />

noticeable differences which enabled a clear division <strong>of</strong> the <strong>approaches</strong>.<br />

An overall classification for each group assessed during the strength-weakness analysis was<br />

not obtained, as this would have implied that all key questions are weighted equally in the<br />

final result.<br />

Figure 25 provides an overview <strong>of</strong> the results obtained for the strength-weakness pr<strong>of</strong>iles,<br />

clearly showing differences and similarities between the assessed <strong>approaches</strong>. These<br />

differences undoubtedly show that the ERBC approach and the REA are the most successful<br />

and comprehensive, in terms <strong>of</strong> the assessed criteria. They are followed closely by the HCV<br />

concept, then the KBA approach and the FSA.<br />

91


4. RESULTS<br />

Figure 25: Overview <strong>of</strong> results: strength-weakness pr<strong>of</strong>iles<br />

IV. M.<br />

Management<br />

recommendations<br />

IV. L. Moni<strong>to</strong>ring<br />

recommendations<br />

I. A. Addressed<br />

biodiversity levels<br />

++<br />

+<br />

0<br />

-<br />

--<br />

I. B. Addressed<br />

ecosystem types<br />

II. C. Geographic<br />

scale <strong>of</strong><br />

applicability<br />

IV. K.<br />

Consideration <strong>of</strong><br />

threats<br />

IV. J. Scoping<br />

assessment<br />

II. F. Suitability for<br />

intended users<br />

II. D. Level <strong>of</strong><br />

approach<br />

II. E.<br />

Implementation<br />

style<br />

HCV<br />

KBA<br />

ERBC<br />

FSA<br />

REA<br />

Axis labelling: ++ = very strong; + = strong; 0 = average<br />

- = weak; -- = very weak<br />

Source: Own design<br />

Figure 26: Overview <strong>of</strong> results: additional criteria<br />

III. G. Methods for site<br />

choice<br />

1<br />

2<br />

III. I. Data<br />

requirements<br />

3<br />

III. H. Human<br />

resources<br />

HCV<br />

KBA<br />

ERBC<br />

FSA<br />

REA<br />

III. H. Required time<br />

Axis labelling: 1 = first place; 2= second place; 3 = third place<br />

Source: Own design<br />

92


4. RESULTS<br />

As seen in Figure 26, the criteria and sub-criteria in Group III (Input) resulted in a clear<br />

ranking <strong>of</strong> the <strong>approaches</strong>. Overall, the HCV concept received the highest ranking. This was<br />

followed by the ERBC approach and the REA. The FSA and the KBA approach received the<br />

lowest ranking.<br />

Table 15 provides an overview <strong>of</strong> the ranked criteria and sub-criteria.<br />

Table 15: Ranking overview for Group III criteria and sub-criteria<br />

Criteria Sub-criteria HCV KBA ERBC FSA REA<br />

Criterion G<br />

Methods for site choice<br />

Criterion H<br />

Required resources<br />

Criterion H<br />

Required resources<br />

Criterion I<br />

Data requirements<br />

All sub-criteria<br />

(C16-C19)<br />

Human resources<br />

(C20)<br />

Time requirements<br />

(C21)<br />

All sub-criteria<br />

(C22-C25)<br />

Key: 1= first place; 2=second place; 3= third place;<br />

Source: Own design<br />

2 3 1 3 2<br />

2 2 3 2 3<br />

1 3 2 1 1<br />

1 2 2 3 2<br />

Group III (Input) plays a fundamental role in providing a thorough overview <strong>of</strong> the<br />

<strong>approaches</strong> and for the future analysis <strong>of</strong> the overall efficiency (input vs output).<br />

Furthermore, the analysis <strong>of</strong> input, e<strong>special</strong>ly the criteria: cost, time, personnel and data, is<br />

the beginning <strong>of</strong> establishing the cost-benefit ratio <strong>of</strong> a given approach. Establishing this<br />

shall provide a significant contribution <strong>to</strong> ultimately increase the success <strong>of</strong> a conservation<br />

activity (Interview Partner J).<br />

93


5. DISCUSSION<br />

5. Discussion<br />

This thesis attempted <strong>to</strong> provide a deeper understanding <strong>of</strong> a range <strong>of</strong> local and regional<br />

conservation <strong>approaches</strong> compared <strong>to</strong> the High Conservation Value (HCV) concept. The<br />

Key Biodiversity Areas (KBA) approach, the Ecoregion-Based Conservation (ERBC)<br />

approach, the Focal Species Approach (FSA) and the Rapid Ecological <strong>Assessment</strong> (REA)<br />

were selected due <strong>to</strong> their global application and the amount <strong>of</strong> available case studies.<br />

Furthermore, it was envisaged that the sample should collectively cover the full range <strong>of</strong><br />

conservation targets <strong>with</strong> a sample size allowing for extensive conclusions <strong>to</strong> be drawn.<br />

Together <strong>with</strong> the HCV concept, the selected <strong>approaches</strong> may all be used for the<br />

identification <strong>of</strong> <strong>areas</strong> important for biodiversity conservation.<br />

Literature research and interviews <strong>with</strong> experts provided sufficient information on the<br />

<strong>approaches</strong>. Firstly, the criteria employed for site identification were identified and analysed.<br />

Secondly, a strength-weakness analysis was performed and thirdly, a comparison <strong>of</strong> the<br />

<strong>approaches</strong>’ input requirements was made. The latter two assessments were based on a set<br />

<strong>of</strong> predetermined key questions and criteria which were formulated through argumentative<br />

reasoning 76 . For each approach, a differentiation according <strong>to</strong> the approach criteria, a<br />

strength-weakness pr<strong>of</strong>ile and an ordinal ranking for input criteria were established.<br />

The thesis succeeded in accomplishing the task <strong>to</strong> pr<strong>of</strong>oundly compare and analyse different<br />

<strong>approaches</strong> <strong>to</strong> <strong>identify</strong> <strong>areas</strong> important for biodiversity conservation and judging them based<br />

on an elaborated set <strong>of</strong> criteria.<br />

However, it has <strong>to</strong> be clearly stated that a different reasoning and different criteria may have<br />

led <strong>to</strong> results which vary from the ones presented in this thesis. Additionally, more<br />

substantial data, taking in<strong>to</strong> account further case studies and a broader range <strong>of</strong> interview<br />

partners, may have resulted in pr<strong>of</strong>iles <strong>with</strong> a different character and a clearer ranking <strong>of</strong> the<br />

<strong>approaches</strong>.<br />

In particular, the ranking <strong>of</strong> the <strong>approaches</strong> for Group III (Input) was not qualitative, and thus,<br />

no great weight should be given <strong>to</strong> this ranking system. Due <strong>to</strong> a lack <strong>of</strong> data, a ranking <strong>of</strong><br />

the <strong>approaches</strong> based on their required costs was not performed.<br />

76 For the exact definitions, please refer <strong>to</strong> Appendix A1.<br />

94


5. DISCUSSION<br />

To date no information on Group V (Effectiveness) exists, preventing any form <strong>of</strong><br />

assessment on the approach efficiency being determined 77 . Future research in this direction<br />

would provide deeper understanding <strong>of</strong> the <strong>approaches</strong>, since data on an approach’s<br />

effectiveness is the beginning <strong>of</strong> establishing a cost:benefit ratio. A more varied pool <strong>of</strong><br />

interview partners, e<strong>special</strong>ly including the private sec<strong>to</strong>r may aid in assessing this. Any<br />

information on effectiveness could be useful for improving fundraising activities and<br />

convincing decision makers <strong>to</strong> implement the results obtained during the identification phase.<br />

Since the rationale behind the HCV concept is <strong>to</strong> find management orientated solutions, <strong>to</strong><br />

sustainably manage production landscapes, <strong>with</strong> the focus on maintaining and enhancing<br />

biodiversity and social values <strong>of</strong> outstanding significance or critical <strong>importance</strong> (HCV<br />

Resource Network 2005-07), it addresses both biological and social needs. Due <strong>to</strong> the<br />

inclusion <strong>of</strong> human needs, the approach’s implementation success is increased, making it<br />

extremely popular <strong>with</strong> both the private and public sec<strong>to</strong>r (Interview Partner A and C). It was<br />

originally developed for forest ecosystems in the context <strong>of</strong> forest certification (HCV<br />

Resource Network 2005-07). This conception and design is clearly reflected in the approach<br />

criteria it employs for site identification and also in the obtained strength-weakness pr<strong>of</strong>ile.<br />

The HCV concept is the most extensive in terms <strong>of</strong> the broad range <strong>of</strong> biological and social<br />

approach criteria it employs for site identification. Since it makes use <strong>of</strong> species, ecosystem<br />

and site specific criteria, it is able <strong>to</strong> establish an accurate picture <strong>of</strong> any area under<br />

consideration (Pressey 2004, 1677).<br />

For the strength-weakness analysis, the majority <strong>of</strong> key questions and criteria were classified<br />

as very strong, indicating a solid foundation underpinning the approach’s design and<br />

methodology. However, certain criteria were assigned a lower classification, due <strong>to</strong> specific<br />

aspects that are embedded in the approach’s philosophy. Firstly, aquatic ecosystems are not<br />

yet addressed by this approach and its focus so far, has predominantly been on forest<br />

ecosystems (Jennings et al. 2003, 1; Lindhe 2005-07, 1). Secondly, any regional<br />

assessment (eg. for conservation planning purposes) will result in small islands <strong>of</strong> protected<br />

<strong>areas</strong> surrounded by large <strong>areas</strong> <strong>of</strong> development (Colchester 2005-07, 2). Therefore, from a<br />

biodiversity conservation point <strong>of</strong> view, alternative <strong>approaches</strong>, for instance the ERBC<br />

approach, would be better suited in this context. Thirdly, the HCV concept attempts <strong>to</strong><br />

<strong>identify</strong> the smallest possible area required <strong>to</strong> save the last threatened area or species<br />

77 Please refer <strong>to</strong> chapter 7, General Terms.<br />

95


5. DISCUSSION<br />

(Interview Partner E). Hence, when designing or expanding any protected area network,<br />

other methods, such as the KBA approach, would be more appropriate.<br />

A positive result was obtained for the ranking <strong>of</strong> the approach’s input criteria. The HCV<br />

concept employs an extensive range <strong>of</strong> different methods and data sources for site choice,<br />

as well as requiring moderate human resources and a short time-frame <strong>to</strong> complete an<br />

assessment.<br />

The overall outcome is reflected in the fact that the HCV concept works well as an effective<br />

umbrella that is flexible and versatile <strong>to</strong> encompass many different types <strong>of</strong> assessment,<br />

mapping and moni<strong>to</strong>ring methods (Interview Partner K). It is extremely extensive for the<br />

approach criteria it employs. It received the second strongest strength-weakness pr<strong>of</strong>ile and<br />

the best ranking for its input requirements. This result not only reinforces, but also<br />

substantiates, the concept’s popularity <strong>with</strong> international organisations and the private<br />

sec<strong>to</strong>r. This wide-spread acceptance should, however, be viewed <strong>with</strong> caution in a public<br />

sec<strong>to</strong>r setting.<br />

The philosophy behind the KBA approach is aimed at providing an umbrella across several<br />

other single taxon based <strong>approaches</strong>, such as Important Bird Areas (IBA), Important Plant<br />

Areas (IPA) etc., <strong>to</strong> form a common framework (Interview Partner M), thus targeting all<br />

known biodiversity which would benefit from site scale conservation. It is essentially a data<br />

driven process, predominantly building on existing information, <strong>to</strong> expand the global<br />

protected area network (Langhammer et al. 2007, xiv).<br />

Since this approach is based on multiple taxa, it is not surprising that it relies purely on<br />

species specific criteria and neither on ecosystem nor site specific criteria for the<br />

identification <strong>of</strong> sites. Even though species specific criteria are the more manageable and<br />

comprehensible components <strong>of</strong> biodiversity and they hold more appeal <strong>with</strong> the general<br />

public (Mace et al. 2006, 18), solely relying on these does not allow for a complete picture <strong>to</strong><br />

be produced (Pressey 2004, 1677). Therefore, taken on its own, this approach is fairly<br />

limited in terms <strong>of</strong> the criteria it uses for site identification.<br />

The process <strong>of</strong> relying purely on data driven, globally set criteria and thresholds ensures a<br />

repeatable application, throughout time and amongst different practitioners (Langhammer et<br />

al. 2007, 15). In terms <strong>of</strong> the strength-weakness analysis, this fact led <strong>to</strong> a lower<br />

classification <strong>of</strong> certain criteria. These strictly data driven, globally set criteria and thresholds<br />

lack resolution at finer scales which has led <strong>to</strong> commission and omission errors (Knight et al.<br />

2007, 258), as well as causing problems in prioritising KBA (Interview Partner G). Though<br />

stakeholder participation is supposedly one <strong>of</strong> the strengths <strong>of</strong> the KBA approach (Interview<br />

Partner M), evidence suggests that inclusion <strong>of</strong> stakeholders is encouraged purely for the<br />

96


5. DISCUSSION<br />

refinement <strong>of</strong> boundaries (Langhammer et al. 2007, 48, 50; Knight et al. 2007, 258) and not<br />

for data acquisition or KBA site identification. Therefore, again leading <strong>to</strong> commission and<br />

omission errors and decreasing the approach’s implementation success (Knight et al. 2007,<br />

258; Interview Partner M).<br />

Although the approach has a wide variety <strong>of</strong> data sources, acquisition and validation <strong>to</strong>ols at<br />

its disposal, it was established that the majority <strong>of</strong> identified KBA were based purely on<br />

existing data, museum specimens and remote sensing, <strong>with</strong>out a field work component<br />

(Interview Partner M). Site visits are a vital part <strong>of</strong> data acquisition and validation (Hill et al.<br />

2005, 95; Stewart et al. 2008, 20), since these augment and replace missing, unreliable and<br />

outdated information, thereby preventing commission and omission errors. Nevertheless,<br />

these shortcomings may be due <strong>to</strong> the low human resource requirements <strong>of</strong> the KBA<br />

identification and subsequent delineation which occurs at a national scale. Upon further<br />

investigation on site size for all <strong>approaches</strong>, the KBA may prove <strong>to</strong> assess the largest <strong>areas</strong>.<br />

This, <strong>to</strong>gether <strong>with</strong> the low human resource needs, may also explain the long time-frame<br />

required for an assessment.<br />

In summary, the approach is predominantly implemented in entire countries and is the least<br />

extensive in the criteria it employs for site identification. Furthermore, it received the weakest<br />

strength-weakness pr<strong>of</strong>ile (<strong>to</strong>gether <strong>with</strong> the FSA) and was ranked last for its input<br />

requirements, reflecting its weaknesses in delineation and prioritisation (Interview Partner D,<br />

E and G). The results obtained during this thesis were rather disappointing in view <strong>of</strong> the fact<br />

that this approach receives strong support from leading international organisations.<br />

The ERBC approach is the most comprehensive and representative in terms <strong>of</strong> capturing<br />

different scales and conservation targets (Interview Partner I and J) and in delineating<br />

important ecological processes and entire ecosystems (Interview Partner I). This is mirrored<br />

in the approach criteria it employs and its strength-weakness pr<strong>of</strong>ile.<br />

It encompasses a wide rage <strong>of</strong> different criteria, including species, ecosystem and site<br />

specific criteria, hence producing an accurate picture <strong>of</strong> the area under consideration.<br />

For the strength-weakness analysis, all key questions and criteria, except one, were<br />

classified as very strong. The only minor shortcoming <strong>of</strong> the approach is that it is not feasible<br />

<strong>to</strong> implement in heavily fragmented landscapes (Interview Partner N). However, it should be<br />

noted that this is not the objective <strong>of</strong> an ERBC approach. Rather, it aims <strong>to</strong> conserve blocks<br />

<strong>of</strong> natural habitat large enough <strong>to</strong> be resilient and responsive <strong>to</strong> large scale, short and long<br />

term change (Dinerstein et al. 2000, 16). Identifying <strong>areas</strong> for biodiversity conservation in<br />

fragmented landscapes would be better suited <strong>to</strong> the FSA, or perhaps the HCV concept.<br />

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5. DISCUSSION<br />

Overall, the ERBC approach is the second most extensive in terms <strong>of</strong> the approach criteria it<br />

employs. Together <strong>with</strong> the REA, it was assigned the strongest strength-weakness pr<strong>of</strong>ile<br />

and regarding its input requirements it was ranked second. This approach is the most<br />

comprehensive for the methods for site choice and also has only moderate time<br />

requirements. But in terms <strong>of</strong> human resources, it is the most intensive, relying on an<br />

extremely large team <strong>of</strong> experts for completion. This, however, may be reflected in the size<br />

<strong>of</strong> the assessment area (400,000-3.6mill hectares), the complexity <strong>of</strong> addressing multiple<br />

different scales and conservation targets and in view <strong>of</strong> this, it is relatively fast.<br />

In summary, this approach is extremely well suited for large, predominantly natural regions<br />

where information and human resources are available. These results correspond well <strong>to</strong> the<br />

overall opinion that the approach is very effective and comprehensive in conserving<br />

biodiversity (Interview Partner I and J).<br />

The FSA received (<strong>to</strong>gether <strong>with</strong> the KBA approach) the weakest strength-weakness pr<strong>of</strong>ile.<br />

However, this should be viewed in regard <strong>to</strong> its objective. Since is essentially a taxon based<br />

surrogate scheme that is used <strong>to</strong> prevent the further loss <strong>of</strong> any species in production<br />

landscapes, such as forestry, agriculture or grazing <strong>areas</strong>, the criteria it employs for site<br />

identification are purely species based. This approach relies on a completely different set <strong>of</strong><br />

criteria from those identified during this thesis and therefore, does not cover an extensive<br />

array. Due <strong>to</strong> this, any statement on its accuracy <strong>of</strong> site identification cannot be established<br />

based on the arguments built during this thesis.<br />

The approach’s objectives can also explain some <strong>of</strong> the weaker results obtained for the FSA<br />

strength-weakness pr<strong>of</strong>ile. Preventing the loss <strong>of</strong> species in production landscapes means<br />

that any level <strong>of</strong> biodiversity, other than species and a few terrestrial ecosystem types,<br />

clearly fall outside <strong>of</strong> its objective. Furthermore, the FSA has, so far, not made use <strong>of</strong><br />

international experts or local user groups. For local user groups, the approach may be<br />

difficult <strong>to</strong> apply, since the identification <strong>of</strong> the focal species and their threats have posed<br />

problems for the scientific community. Until now, the approach has only been implemented in<br />

the developed world, excluding the need for international experts, since sufficient national<br />

experts were available.<br />

For its input criteria the FSA was ranked third. It faired badly for site identification, as several<br />

shortcomings were identified. This approach attempts <strong>to</strong> cover the needs <strong>of</strong> all other biota<br />

<strong>with</strong>in a given landscape, by covering the needs <strong>of</strong> a selected few. It has been shown that<br />

the effects <strong>of</strong> habitat change and fragmentation have different consequences for different<br />

species (Robinson et al. 1992, 54; Gascon et al. 1999, 223). Therefore, the assumption <strong>of</strong><br />

meeting the requirements <strong>of</strong> all biota cannot be met (e.g. Noss et al. 1997, 118;<br />

98


5. DISCUSSION<br />

Lindenmayer et al. 2002, 338; Lindenmayer and Fischer 2003, 150). Furthermore, the lack <strong>of</strong><br />

available species data sources has caused considerable problems in <strong>identify</strong>ing the focal<br />

community and their major threats (Lindenmayer et al. 2002, 340). The third criticism is that<br />

stakeholder knowledge and opinion were not included in the site identification, thereby<br />

weakening the implementation success <strong>of</strong> the approach. Additionally, it faired badly for the<br />

data sources at its disposal. It not only utilizes the least data sources, but also does not<br />

make use <strong>of</strong> stakeholder surveys. In contrast, the human resource requirements are<br />

moderate and time requirements low.<br />

Conclusively, the FSA received the weakest strength-weakness pr<strong>of</strong>ile, was ranked third for<br />

its input requirements and was not assessed for the criteria it employs. Thus, this thesis has<br />

substantiated the shortcomings already known about this approach. Nevertheless, it is an<br />

approach that is fast, efficient and specifically designed for assessing heavily fragmented,<br />

production landscapes.<br />

The REA is extremely comprehensive and representative in terms <strong>of</strong> characterising the<br />

landscape and species level <strong>of</strong> biodiversity (Interview Partner I; Sayre et al. 2000, 33, 81).<br />

This comprehensiveness is represented in the overall results obtained during this thesis.<br />

Even though it only employs a moderate range <strong>of</strong> approach criteria for site identification,<br />

resulting in a fairly accurate depiction <strong>of</strong> the area under consideration, the remaining analysis<br />

produced excellent results.<br />

Together <strong>with</strong> the ERBC approach, the REA was assigned the strongest strength-weakness<br />

pr<strong>of</strong>ile. The individual criteria were all classified as very strong, except for one. It is unable <strong>to</strong><br />

directly or indirectly conserve genetic diversity. However, its objective is <strong>to</strong> efficiently<br />

characterise two levels <strong>of</strong> biodiversity <strong>of</strong> large <strong>areas</strong> for which relatively little is known (Sayre<br />

et al. 2000, 33, 81). Empirical data, required for assessing genetic diversity, is mostly limited<br />

<strong>to</strong> a small set <strong>of</strong> species, most commonly related <strong>to</strong> agriculture (Millennium Ecosystem<br />

<strong>Assessment</strong> 2005b, 95). Therefore, in light <strong>of</strong> the REA’s objective, an analysis in terms <strong>of</strong><br />

genetic diversity would not be feasible.<br />

The REA makes use <strong>of</strong> a broad range <strong>of</strong> methods and data sources for site identification. It<br />

has low time requirements, but extremely intensive human resource requirements. The<br />

comprehensiveness <strong>of</strong> the assessment in unknown <strong>areas</strong> and its time requirements, reflect<br />

the amount <strong>of</strong> human resources needed.<br />

The general view <strong>of</strong> an REA is supported by the strong results obtained during this thesis. All<br />

in all, this approach employs a moderate amount <strong>of</strong> approach criteria. Results showed the<br />

strongest strength-weakness pr<strong>of</strong>ile and it was ranked second for its input requirements.<br />

99


5. DISCUSSION<br />

In summary, the popularity and overall opinion <strong>of</strong> the HCV concept, the ERBC approach and<br />

REA were substantiated, as well as the controversy behind the FSA. Whereas, the results<br />

obtained for the KBA approach contradicted its popularity <strong>with</strong> leading international<br />

organisations. This thesis has shown that all <strong>of</strong> the <strong>approaches</strong> have differing advantages<br />

and disadvantages (Interview Partner H) and therefore could and should be used <strong>to</strong><br />

supplement each other, <strong>to</strong> develop practical solutions for biodiversity conservation (Interview<br />

Partner C).<br />

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6. CONCLUSION<br />

6. Conclusion<br />

This thesis has attempted <strong>to</strong> assess a range <strong>of</strong> regional and local conservation <strong>approaches</strong><br />

used <strong>to</strong> <strong>identify</strong> <strong>areas</strong> important for biodiversity conservation, compared <strong>to</strong> the HCV concept.<br />

The sample <strong>of</strong> <strong>approaches</strong> selected for this assessment, namely the High Conservation<br />

Value (HCV) concept, the Key Biodiversity Areas (KBA) approach, the Ecoregion-Based<br />

Conservation (ERBC) approach, the Focal Species Approach (FSA) and the Rapid<br />

Ecological <strong>Assessment</strong> (REA), facilitated informed conclusions <strong>to</strong> be drawn by listing<br />

strengths and weaknesses, establishing similarities and differences and <strong>identify</strong>ing their<br />

input requirements. Therefore, a classification and ranking <strong>of</strong> the <strong>approaches</strong> was enabled.<br />

Data was obtained through literature research and interviews <strong>with</strong> experts. This, firstly,<br />

enabled the selected <strong>approaches</strong> <strong>to</strong> be described and analysed on the basis <strong>of</strong> the scale<br />

they address, their objectives 78 and the criteria they employ for site identification. Secondly, a<br />

strength-weakness analysis and a comparison <strong>of</strong> the <strong>approaches</strong>’ input requirements, based<br />

on a set <strong>of</strong> predetermined key questions and criteria, were performed. For this, each key<br />

question was defined through argumentative reasoning 79 . Thus, by classifying the<br />

<strong>approaches</strong> according <strong>to</strong> various degrees <strong>of</strong> weak and strong, a strength-weakness pr<strong>of</strong>ile<br />

for each approach was established. Additionally, the reasoning allowed for an ordinal ranking<br />

system <strong>to</strong> be set up for the additional input criteria. This enabled a ranking <strong>of</strong> the <strong>approaches</strong><br />

according <strong>to</strong> their input needs. The results obtained provide conservation planning<br />

practitioners <strong>with</strong> an overview <strong>of</strong> the approach <strong>to</strong> ultimately be implemented according <strong>to</strong><br />

different goals and objectives.<br />

The HCV concept is the most extensive in terms <strong>of</strong> the criteria it employs for site<br />

identification. It uses an extremely broad array <strong>of</strong> species and ecosystem specific criteria, as<br />

well as addressing the socio-economic and cultural aspects <strong>with</strong>in the assessment area. The<br />

ERBC approach also utilizes a wide range <strong>of</strong> species and ecosystem specific criteria.<br />

However, due <strong>to</strong> the complexity <strong>of</strong> this approach, it is recommended <strong>to</strong> perform a socioeconomic<br />

analysis separately. The REA employs a limited range <strong>of</strong> species and ecosystem<br />

specific criteria, whereas the KBA approach only utilizes species specific criteria for site<br />

identification. Both these <strong>approaches</strong> also recommend a separate socio-economic and<br />

78 This was extensively covered in chapter 3.4.<br />

79 For the exact definitions, please refer <strong>to</strong> Appendix A1.<br />

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6. CONCLUSION<br />

cultural analysis subsequent <strong>to</strong> their assessments. Lastly, the FSA approach relies solely on<br />

species specific criteria.<br />

In terms <strong>of</strong> the different <strong>approaches</strong>’ capabilities <strong>to</strong> link different scales, the ERBC approach<br />

is the most comprehensive, successfully merging the ecoregional, landscape and site scale.<br />

The HCV concept and the REA easily link the landscape and site scale, whereas the KBA<br />

approach and the FSA work only at the site and landscape scale, respectively.<br />

Both the HCV concept and the FSA were developed for implementation in production<br />

landscapes, while the REA and the KBA approach are implemented in non-production<br />

landscapes. However, the latter is used <strong>to</strong> ultimately expand and support protected <strong>areas</strong>,<br />

whereas the REA initially only characterises the landscape for a multitude <strong>of</strong> different uses.<br />

The ERBC approach, due <strong>to</strong> the large area it assesses, is implemented in both natural and<br />

production landscapes trying <strong>to</strong> find a balance between the two, in order <strong>to</strong> conserve the full<br />

range <strong>of</strong> biodiversity throughout time.<br />

The results <strong>of</strong> the strength-weakness analysis and ranking were principally determined by<br />

the individual approach’s objective and the rationale behind its conception.<br />

The HCV concept is best suited <strong>to</strong> <strong>identify</strong> sustainable management practices in forest<br />

operations at the site or landscape scale, whereas it is less suited for conservation planning<br />

at a regional scale. So far, it has little assessment exposure <strong>to</strong> terrestrial ecosystems other<br />

than forests and none <strong>to</strong> aquatic ecosystems. As it results in management recommendations<br />

and attempts <strong>to</strong> <strong>identify</strong> the smallest possible set aside area, it works well and is popular at<br />

the private sec<strong>to</strong>r level, however, it is less effective at the public sec<strong>to</strong>r level. Its style <strong>of</strong><br />

implementation, being a combination <strong>of</strong> <strong>to</strong>p-down and bot<strong>to</strong>m-up, is extremely successful.<br />

The approach is flexible and versatile in the use <strong>of</strong> different methods and data sources for<br />

site identification, <strong>with</strong> moderate human resource requirements and can be completed <strong>with</strong>in<br />

a short time-frame.<br />

As it stands momentarily, the KBA approach has some shortcomings, which may result in<br />

commission and omission errors, as well as cause problems in prioritisation. On the other<br />

hand, it is extremely flexible in the use <strong>of</strong> methods and data sources for site identification.<br />

Therefore, it can be applied in both data-rich and data-poor countries. This, however, has<br />

also led <strong>to</strong> weaknesses in the approach methodology. In contrast, it is the only approach<br />

performed at a national level, embedded <strong>with</strong>in national institutions and simultaneously<br />

providing the private sec<strong>to</strong>r level <strong>with</strong> information for responsible development operations.<br />

The KBA approach requires moderate human resources, but it is normally performed <strong>with</strong>in<br />

a lengthy time-frame.<br />

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6. CONCLUSION<br />

The comprehensiveness and representativeness <strong>of</strong> the ERBC approach is not only<br />

determined by the use <strong>of</strong> multiple scales and identification criteria, but is also reflected in the<br />

results <strong>of</strong> the strength-weakness analysis. It is an extremely powerful approach<br />

encompassing, both terrestrial and aquatic ecosystems, the private and public sec<strong>to</strong>r level<br />

<strong>with</strong> a bot<strong>to</strong>m-up and <strong>to</strong>p-down concept. Furthermore, this approach provides the most<br />

detailed threat assessment <strong>to</strong>ols specifically <strong>identify</strong>ing highly threatened, but conservable,<br />

priority regions. It is the only one attempting <strong>to</strong> safeguard the full range <strong>of</strong> biodiversity<br />

throughout time. However, it is difficult <strong>to</strong> perform the ERBC assessment in heavily<br />

developed or fragmented regions. It is flexible and versatile in the use <strong>of</strong> methods and data<br />

sources for site identification, but requires intensive human resources and is normally<br />

completed <strong>with</strong>in a moderate time-frame.<br />

In contrast, the FSA was designed for heavily fragmented production landscapes, but does<br />

not address the persistence <strong>of</strong> biodiversity over time. Furthermore, it can only be performed<br />

in terrestrial ecosystems. The FSA can be applied at both the private and public sec<strong>to</strong>r level<br />

and makes use <strong>of</strong> a bot<strong>to</strong>m-up and <strong>to</strong>p-down style. It is, however, weak and less flexible in<br />

the use <strong>of</strong> methods and data sources for site identification, this having caused several<br />

problems. However, it requires moderate human resources and can be completed in a short<br />

time-frame.<br />

The REA is also a comprehensive approach, albeit less due <strong>to</strong> the scales and identification<br />

criteria it addresses, but rather <strong>to</strong> the results <strong>of</strong> the strength-weakness analysis. It is the only<br />

approach best suited for <strong>areas</strong> <strong>of</strong> which very little is known. Here, it successfully<br />

characterises the landscape and site scale <strong>of</strong> biodiversity, being implemented for a multitude<br />

<strong>of</strong> different purposes. The REA can be implemented by both the private and public sec<strong>to</strong>r<br />

and effectively combines the style <strong>of</strong> <strong>to</strong>p-down and bot<strong>to</strong>m-up. This flexibility originates in its<br />

scientifically sound use <strong>of</strong> methods and data sources for site identification which, however,<br />

requires intensive human resources, but is completed <strong>with</strong>in a relatively short time-frame.<br />

In conclusion, the ERBC approach is probably the most suited for conserving the full range<br />

<strong>of</strong> biodiversity in less developed regions, but only when sufficient human resources, data and<br />

time are available. The REA is extremely appropriate for conserving biodiversity in less<br />

developed regions, also requiring sufficient human resources, but lower data and time<br />

requirements. The KBA approach is well suited for national level applications <strong>to</strong> expand and<br />

strengthen the protected area system, when human resources are not as abundant, yet time<br />

is. This application can rely purely on existing data sources <strong>with</strong>out validation. The HCV<br />

concept is appropriate and flexible in the design <strong>of</strong> management options and<br />

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6. CONCLUSION<br />

recommendations for sustainable forest operations, e<strong>special</strong>ly when time is <strong>of</strong> the essence.<br />

Similar <strong>to</strong> this, the FSA is also used in production landscapes, albeit, in heavily fragmented<br />

<strong>areas</strong> <strong>with</strong> moderate human resource requirements and where time is <strong>of</strong> the essence.<br />

The results obtained during this work did not permit any assessment <strong>to</strong> be made on the<br />

efficiency <strong>of</strong> the <strong>approaches</strong>. This was due <strong>to</strong> a lack <strong>of</strong> data on effectiveness and insufficient<br />

information on the cost and size <strong>of</strong> the <strong>approaches</strong>’ assessment <strong>areas</strong>. Further research in<br />

this direction would be desirable <strong>to</strong> gain a deeper understanding <strong>of</strong> the <strong>approaches</strong>. With<br />

additional work, the determined strengths and weaknesses could either be validated or<br />

invalidated and this is, thus, strongly recommended. Building and expanding on this would<br />

be the analysis <strong>of</strong> approach effectiveness <strong>to</strong> determine a conclusive outcome on overall<br />

efficiency.<br />

From the interviews it became apparent that none <strong>of</strong> the <strong>approaches</strong> conserve biodiversity.<br />

They only indirectly play a role in safeguarding nature’s diversity. Instead they are effective<br />

<strong>to</strong>ols for awareness raising, prioritisation or fundraising in the field <strong>of</strong> biodiversity<br />

conservation. The advantages and disadvantages identified during this thesis could and<br />

should be considered when implementing or combining <strong>approaches</strong>, in order <strong>to</strong> increase the<br />

overall success <strong>of</strong> biodiversity conservation. In addition, new challenges such as adaptation<br />

<strong>to</strong> climate change and conservation <strong>of</strong> ecosystem services in line <strong>with</strong> sustainable<br />

development need <strong>to</strong> be considered when allocating resources and prioritising conservation<br />

projects.<br />

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7. GENERAL TERMS<br />

7. General Terms<br />

Biodiversity: refers <strong>to</strong> the variability among living organisms from all sources including<br />

terrestrial, marine and other aquatic ecosystems and the ecological complexes <strong>of</strong> which they<br />

are part; this includes diversity <strong>with</strong>in species, between species and <strong>of</strong> ecosystems (CBD<br />

1995).<br />

Biodiversity level: refers <strong>to</strong> the different levels <strong>of</strong> biodiversity. These can be defined as<br />

diversity <strong>with</strong>in and between species and ecosystem diversity. Diversity <strong>with</strong>in species is<br />

synonymous <strong>with</strong> genetic diversity and diversity between species <strong>with</strong> species diversity.<br />

The term ecosystem diversity is limited <strong>to</strong> the number <strong>of</strong> different ecosystems, as time<br />

restraints do not permit a more detailed analysis <strong>of</strong> various ecosystem functions.<br />

Bot<strong>to</strong>m-up: proceeding from the bot<strong>to</strong>m or beginning <strong>of</strong> a hierarchy or process upwards<br />

(Oxford Dictionary 2006, 163). Thus, it refers <strong>to</strong> decisions or conservation projects being<br />

enforced locally and then escalating <strong>to</strong> either a national or international level.<br />

Complementarity: provides a way <strong>of</strong> selecting reserves or management units, that<br />

combined represent the greatest possible biodiversity <strong>with</strong>in the least possible area<br />

(Dinerstein et al. 2000, 177). The concept <strong>of</strong> complementarity is a prioritisation exercise that<br />

determines how much each site contributes <strong>to</strong> conservation by complimenting existing sites.<br />

The priority level <strong>of</strong> each site is based, not only on its biological composition, but on that <strong>of</strong><br />

other sites as well. Thus, conservation investment can be maximised (Langhammer et al.<br />

2007, 7)<br />

Connectivity: refers <strong>to</strong> the degree by which an individual set-aside area is connected <strong>to</strong><br />

another <strong>with</strong>in a network, or <strong>to</strong> buffer zones, corridors or stepping s<strong>to</strong>nes for migra<strong>to</strong>ry<br />

species (Hockings et al. 2006, 19).<br />

Data acquisition: refers <strong>to</strong> the way data has been collected, which methods <strong>of</strong> data<br />

collection have been used <strong>to</strong> gather information needed for an identification process.<br />

Data validation: refers <strong>to</strong> the way acquired and existing data is substantiated.<br />

105


7. GENERAL TERMS<br />

Ecosystem: is a biological community <strong>of</strong> interacting organisms and their physical<br />

environment (Oxford Dictionary 2006, 454). In this thesis terrestrial refers <strong>to</strong> dry land,<br />

whereas aquatic refers <strong>to</strong> water (Oxford Dictionary 2006, 1488, 65).<br />

Ecosystem services: are the benefits humans obtain from ecosystems. These include<br />

provision services, such as food, timber, water and fibre; regulating services, such as<br />

climate, floods, wastes, disease and water quality; supporting services, such as soil<br />

formation, nutrient cycling and pho<strong>to</strong>synthesis and cultural services, such as recreation,<br />

aesthetic enjoyment and spiritual fulfilment (Millennium Ecosystem <strong>Assessment</strong> 2005a, 2).<br />

Ecoregion: an area defined in terms <strong>of</strong> its natural features and environment (Oxford<br />

Dictionary 2006, 454). In this thesis the term ecoregion is defined as a large unit <strong>of</strong> land or<br />

water (on the scale <strong>of</strong> up <strong>to</strong> millions <strong>of</strong> hectares) containing a geographically distinct<br />

assemblage <strong>of</strong> natural communities that share a large majority <strong>of</strong> their species and<br />

ecological dynamics, environmental conditions, such as climate, and interact ecologically <strong>to</strong><br />

ensure their long term persistence (Dinerstein et al. 2000, 241) 80 .<br />

Effectiveness: the production <strong>of</strong> a desired or intended result (Oxford Dictionary 2006, 456).<br />

In this thesis the term effectiveness is defined as the effect an approach has on biodiversity<br />

conservation. This thesis has defined effectiveness as an approach’s desired or intended<br />

outcome. It may be measured through determining whether the value <strong>of</strong> interest really has<br />

been conserved (Interview Partner O). Ways <strong>of</strong> determining effectiveness would be <strong>to</strong> see<br />

whether the target species is persisting, by either looking <strong>to</strong> see whether the threat has been<br />

abated, or whether it’s habitat is remaining unchanged or increasing in size and naturalness,<br />

for example. Thus, effectiveness can be viewed as output <strong>of</strong> the approach (Interview Partner<br />

O). For a solid scientific conclusion <strong>of</strong> effectiveness <strong>to</strong> be made, it would have <strong>to</strong> be<br />

measured over time.<br />

Efficiency: is defined as output relative <strong>to</strong> input. Output has been defined by effectiveness<br />

(see effectiveness). Input are fac<strong>to</strong>rs such as time, cost and other resources required <strong>to</strong><br />

accomplish the objectives (Interview Partner O).<br />

Endemic: any species whose distribution is confined <strong>to</strong> a given area is said <strong>to</strong> be endemic <strong>to</strong><br />

that area. The range <strong>of</strong> distribution may vary considerably, spanning an entire continent, or<br />

covering only a few hectares. A small geographic range makes any species vulnerable <strong>to</strong><br />

80 However, it should be noted that neither ecoregions, nor landscapes have predetermined minimum<br />

and maximum scale limitations and there is considerable overlap <strong>of</strong> sizes between them (WWF<br />

Conservation Science Program 2004).<br />

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7. GENERAL TERMS<br />

extinction (Encyclopaedia Britannica 2009). This thesis has included biome, bioregions and<br />

restricted range species in the definition <strong>of</strong> endemic.<br />

Expert: a person who is very knowledgeable about, or skilful in, a particular area (Oxford<br />

Dictionary 2006, 501). In this thesis, expert was divided in<strong>to</strong> international and national. An<br />

international expert is defined as a person who has gained expertise on an international<br />

level or <strong>with</strong>in several different countries, whereas a national expert is a person who has<br />

gained expertise only <strong>with</strong>in one country. Skills and knowledge can be obtained from experts<br />

by either including them in an assessment team or by letting them take part in a survey (for<br />

additional information please see surveys).<br />

Financial resources: refers <strong>to</strong> the cost required for either the identification <strong>of</strong> <strong>areas</strong> or the<br />

scoping assessment <strong>of</strong> the various <strong>approaches</strong>.<br />

Focal species: serve an umbrella function in terms <strong>of</strong> encompassing habitats needed by<br />

many other species. They play a vital role in maintaining community structure or processes<br />

and are sensitive <strong>to</strong> likely changes. The main characteristic <strong>of</strong> a focal species is that its<br />

status and trend provide insight in<strong>to</strong> the integrity <strong>of</strong> the ecosystem <strong>to</strong> which it belongs, thus,<br />

serving as an indica<strong>to</strong>r <strong>of</strong> ecological sustainability (Millspaugh and Thompson 2008, pg 59).<br />

The term focal species has been used in a broader context <strong>to</strong> include flagship, indica<strong>to</strong>r and<br />

economically viable species (Dinerstein et al. 2000, 39).<br />

Global: relating <strong>to</strong> the whole world; worldwide (Oxford Dictionary 2006, 605).<br />

Habitat: is specific type <strong>of</strong> environment which is <strong>of</strong>ten used <strong>to</strong> describe the requirements <strong>of</strong> a<br />

certain species or community (Dinerstein et al. 2000, 243).<br />

Human resources: describes the extent <strong>of</strong> human resources, the skills and level <strong>of</strong><br />

education required for identification, ranging from international experts, <strong>to</strong> general<br />

practitioners, <strong>to</strong> people <strong>with</strong> a more general level <strong>of</strong> education (Interview Partner K).<br />

Indica<strong>to</strong>r species: an organism whose characteristics (presence or absence, population<br />

density, dispersion, reproductive success) have been used as a simple, cost-effective index<br />

<strong>to</strong> measure numbers, trends or status <strong>of</strong> other species or the health <strong>of</strong> an ecosystem. An<br />

indica<strong>to</strong>r species is art <strong>of</strong> the broader classification <strong>of</strong> focal species (Millspaugh and<br />

Thompson 2008, 59).<br />

107


7. GENERAL TERMS<br />

Inven<strong>to</strong>ries: refers <strong>to</strong> a complete list <strong>of</strong> items (Oxford Dictionary 2006, 747). In this thesis it<br />

refers <strong>to</strong> the process <strong>of</strong> making a detailed list, report or record <strong>of</strong> all species and or habitats<br />

<strong>with</strong>in the area under consideration.<br />

Irreplaceability: the irreplaceability <strong>of</strong> an area was originally defined as the extent <strong>to</strong> which<br />

geographic or spatial options for conservation will disappear if that particular site is lost<br />

(Pressey et al. 1994, 242). In this thesis it refers <strong>to</strong> any species being unique <strong>to</strong> a given area<br />

or site. Thus, species <strong>with</strong>in a given area <strong>with</strong> lower irreplaceability will be more represented<br />

either regionally or globally (Ferrier et al. 2000, 305). For instance, a site is completely<br />

irreplaceable, if it contains one or more species that occur nowhere else, whereas a site<br />

containing species that are widely distributed is less irreplaceable (or more replaceable), as<br />

many alternatives exist for conserving these species (Langhammer et al. 2007, 7).<br />

Keys<strong>to</strong>ne species: a keys<strong>to</strong>ne species is a species whose presence is crucial in<br />

maintaining the organisation and diversity <strong>of</strong> ecological communities. In addition, relative <strong>to</strong><br />

the rest <strong>of</strong> the community, these species are exceptional in <strong>importance</strong> (Mills et al. 1993,<br />

219).<br />

Landscape: defined as an area that contains a set <strong>of</strong> species, communities, or ecological<br />

processes that differ from other such units (Moore et al. 2004, 5, 6). The term does not have<br />

an exact scientific definition, but instead is used in flexibly in defining a large land area <strong>with</strong><br />

some defining or perceptible characteristics. This may change in different <strong>areas</strong> due <strong>to</strong> the<br />

biological, geographical, political, economic and social fac<strong>to</strong>rs (Stewart and Rayden 2009,<br />

7). For the purpose <strong>of</strong> the thesis, the landscape scale lies between a site and an ecoregion 81 .<br />

Local: is <strong>of</strong>ficially defined as an individual unit; relating or restricted <strong>to</strong> a particular area<br />

(Oxford Dictionary 2006, 836). For the purpose <strong>of</strong> this study, the size <strong>of</strong> local has been<br />

limited <strong>to</strong> being smaller than provincial, i.e. at a municipal or community level.<br />

Local user groups: a user group is a set <strong>of</strong> people who have similar interests, goals, or<br />

concerns (Webopedia 2005). In this thesis local user groups have been defined as user<br />

groups residing at the local level which have a direct interest in the use and management <strong>of</strong><br />

some aspect <strong>of</strong> biodiversity. Thus, user groups can be seen as stakeholders (see survey<br />

definition).<br />

81 Please see definitions for site and ecoregion. It should be noted that neither ecoregions, nor<br />

landscapes have predetermined minimum and maximum scale limitations and there is considerable<br />

overlap <strong>of</strong> sizes between them (WWF Conservation Science Program 2004).<br />

108


7. GENERAL TERMS<br />

Moni<strong>to</strong>ring: defined in this thesis as collecting information on indica<strong>to</strong>rs, repeatedly over<br />

time, <strong>to</strong> discover trends in the status <strong>of</strong> the set-aside area and the activities and processes <strong>of</strong><br />

management (Oxford Dictionary 2006, 922; Hockings et al. 2006, 15).<br />

Management: administration, regulation and maintenance <strong>of</strong> resources (Oxford Dictionary<br />

2006, 865) where, in this thesis, resources refer <strong>to</strong> the content <strong>of</strong> biodiversity and the natural<br />

processes that produce it (Dinerstein et al. 2000, 240).<br />

Persistence: protected <strong>areas</strong> should promote the long term survival <strong>of</strong> all elements <strong>of</strong><br />

biodiversity they contain by maintaining natural processes, viable populations and by<br />

excluding threats (Margules and Pressey 2000, 243).<br />

Private sec<strong>to</strong>r level: the private sec<strong>to</strong>r comprises individuals and privately owned<br />

enterprises (Oxford Dictionary 2006, 1142). Thus, the private sec<strong>to</strong>r level relates <strong>to</strong> any<br />

conservation project identified by and <strong>with</strong>in an area owned and/ or used by the private<br />

sec<strong>to</strong>r.<br />

Protected area: “an area <strong>of</strong> land and/ or sea e<strong>special</strong>ly dedicated <strong>to</strong> the protection and<br />

maintenance <strong>of</strong> biological diversity, and <strong>of</strong> natural and associated cultural resources, and<br />

managed through legal or other effective means,” as defined by the IUCN (1994). This refers<br />

<strong>to</strong> a legally established land or water area under either public or private ownership that is<br />

regulated and managed <strong>to</strong> achieve specific conservation objectives (OECD Statistical Portal<br />

1997). This term has been used synonymously <strong>with</strong> set-aside area, as it refers <strong>to</strong> either<br />

public or private ownership.<br />

Public sec<strong>to</strong>r level: the public sec<strong>to</strong>r is controlled by the state (Oxford Dictionary 2006,<br />

1161). In this thesis, the public sec<strong>to</strong>r level refers <strong>to</strong> any conservation project identified by<br />

and <strong>with</strong>in the public sec<strong>to</strong>r, ranging from the community or municipal <strong>to</strong> state.<br />

Rapid <strong>Assessment</strong>: a quick scientific survey or count that helps measure local biodiversity<br />

<strong>to</strong> obtain information on a selected area (Arizona-Sonora Desert Museum 2006-2009),<br />

providing a fast, efficient and cost effective method <strong>to</strong> produce estimates on <strong>to</strong>tal biodiversity<br />

(Oliver et al. 1993, 562). Field surveys have been used synonymously <strong>with</strong> rapid assessment<br />

in this thesis.<br />

Regional: is defined as relating <strong>to</strong>, or characteristic <strong>of</strong>, a region (Oxford Dictionary 2006,<br />

1211). For this study, this may range from provincial <strong>to</strong> continental.<br />

109


7. GENERAL TERMS<br />

Representativeness: the long-term success <strong>of</strong> in-situ conservation requires that the global<br />

system <strong>of</strong> protected <strong>areas</strong> represent, or sample, the full variety <strong>of</strong> biodiversity, ideally at all<br />

levels <strong>of</strong> organisation (Margules and Pressey 2000, 243).<br />

Required time: is the amount <strong>of</strong> time necessary for the identification <strong>of</strong> biodiversity relevant<br />

<strong>areas</strong>. This should be determined or estimated during the scoping assessment.<br />

Required resources: is defined here as the cost, data and personnel requirements needed<br />

<strong>to</strong> complete an assessment. This should be determined or estimated during the scoping<br />

assessment.<br />

Scoping assessment: a scoping assessment is performed in the initial planning stages <strong>of</strong> a<br />

conservation project <strong>with</strong> the aim <strong>of</strong> determining how best <strong>to</strong> achieve the goals <strong>of</strong> the project<br />

<strong>with</strong> minimal expenditure, both financial and time wise, as well as determining the<br />

assessment team requirements (Dinerstein et al. 2000, 50, 57).<br />

Site: is a variably sized, but homogenous unit, that is actually or could potentially, be<br />

managed for conservation (Langhammer et al. 2007, 15) and/ or production. In this thesis<br />

the site-scale is defined as a tract <strong>of</strong> land up <strong>to</strong> 200 000 hectares. It should be noted that<br />

certain examples <strong>of</strong> concessions exits that are large than 1 million hectares (Interview<br />

Partner D). These exceptions would also fall under the site-scale.<br />

Size: <strong>of</strong> a set aside area will vary according <strong>to</strong> the conservation targets. However<br />

determining the minimum size required <strong>to</strong> maintain viable populations <strong>of</strong> particular species,<br />

<strong>to</strong> maintain interior species, etc. is <strong>of</strong> critical <strong>importance</strong> (Hill et al. 2005, 86).<br />

Species: is a basic unit <strong>of</strong> classification consisting <strong>of</strong> a population or series <strong>of</strong> populations <strong>of</strong><br />

closely related and similar organisms (Dinerstein et al. 2000, 257).<br />

Species richness: is a measure <strong>of</strong> species diversity calculated as the <strong>to</strong>tal number <strong>of</strong><br />

species in a habitat or community (Dinerstein et al. 2000, 258).<br />

Stakeholder: is defined as any person, group, or organization <strong>with</strong> a direct or indirect<br />

interest in the use and management <strong>of</strong> some aspect <strong>of</strong> biodiversity in a given area, or who<br />

affects, or is affected by, a particular conservation action, ranging from local users, <strong>to</strong><br />

government agencies, NGOs, experts and the private sec<strong>to</strong>r, including local, regional, and<br />

international levels (USAID 2005) 82 .<br />

82 Please refer <strong>to</strong> the definition <strong>of</strong> surveys for additional information.<br />

110


7. GENERAL TERMS<br />

State or naturalness: State refers <strong>to</strong> the extent a habitat has been modified by humans and<br />

naturalness <strong>to</strong> the extent a habitat remains unchanged (i.e. in its natural state). Natural<br />

habitats are favoured, since there is a high relation between these and its biodiversity value.<br />

Furthermore, a high proportion <strong>of</strong> rare species and natural ecological processes are <strong>of</strong>ten<br />

associated <strong>with</strong> natural <strong>of</strong> near-natural habitats and (Hill et al. 2005, 85).<br />

Surveys: define the collection <strong>of</strong> spatial and/or temporal data <strong>of</strong> a species, community or<br />

habitat (Hill et al. 2005, 3). In this thesis surveys have been broadly divided in<strong>to</strong> expert,<br />

stakeholder and field surveys. Expert survey refers <strong>to</strong> the collection <strong>of</strong> data, according <strong>to</strong><br />

their knowledge or skill <strong>with</strong>in a specific area <strong>of</strong> interest. Stakeholder survey refers <strong>to</strong> the<br />

acquiring <strong>of</strong> data, according <strong>to</strong> their opinion, knowledge and relative involvement in project.<br />

Field surveys refer <strong>to</strong> the collection <strong>of</strong> data through a site visit and have been used<br />

synonymously <strong>with</strong> rapid assessments. All three categories <strong>of</strong> surveys are predominantly<br />

used for data acquisition and/ or validation.<br />

Threat: is an indication <strong>of</strong> impeding or possible danger or harm <strong>to</strong> either one or all <strong>of</strong> the<br />

levels <strong>of</strong> biodiversity (modified from Oxford 2006, 1501). This can either be anthropogenic or<br />

natural in nature. A threat can either be external or internal. An external threat is defined as<br />

a threat occurring outside the area under consideration <strong>with</strong> an influence on that area,<br />

whereas an internal threat is defined as a threat occurring <strong>with</strong>in the area <strong>of</strong> interest.<br />

Threat status: refers <strong>to</strong> a species' risk <strong>of</strong> becoming globally extinct. This has been classified<br />

in<strong>to</strong> a system ranging from not determined, least concerned <strong>to</strong> endangered and extinct. The<br />

identified area should contain threatened species which can further be sub-divided in<strong>to</strong> near<br />

threatened, vulnerable, endangered and critically endangered (IUCN 2001, 407).<br />

Threatened: describes any species that is vulnerable <strong>to</strong>wards extinction as defined by the<br />

IUCN red list which further divides this in<strong>to</strong> three categories: endangered, critically<br />

endangered and vulnerable, depending on the degree <strong>of</strong> extinction threat (Baillie et al. 2004,<br />

2).<br />

Tolerance or sensitivity <strong>to</strong>wards a threat: this refers <strong>to</strong> a species' ability <strong>to</strong> rapidly detect,<br />

respond <strong>to</strong>, or be affected by (sensitivity) a person or thing likely <strong>to</strong> cause harm or damage<br />

(threat), or a species’ ability, willingness or capacity <strong>to</strong> endure a threat (<strong>to</strong>lerance) (modified<br />

from Oxford Dictionary 2006, 1311, 1501, 1515).<br />

111


7. GENERAL TERMS<br />

Top-down: controlled from the highest level; proceeding from the general <strong>to</strong> the particular<br />

(Oxford Dictionary 2006, 1519). In this thesis it refers <strong>to</strong> decisions or conservation projects<br />

being enforced from an international level upon a local level, and also from a highest state<br />

level upon a local level (Interview Partner C).<br />

Use <strong>of</strong> existing data: refers <strong>to</strong> available data such as scientific publications, museum<br />

specimens, expert knowledge, spatial plans (i.e. land maps for infrastructure and<br />

development, both present and forecasted; hydrological plans, species distribution maps;<br />

etc) and existing remotely sensed data.<br />

Use <strong>of</strong> remote sensing: remote sensing techniques will include both satellite-based remote<br />

sensing and aerial pho<strong>to</strong>graphy, which can be used for mapping and/ or quantification <strong>of</strong><br />

habitats at various resolutions (Hill et al. 2005, 154).<br />

Viability: refers <strong>to</strong> a species ability <strong>to</strong> live or exist in a particular area (Oxford Dictionary<br />

2006, 1609).<br />

Vulnerability: exposed <strong>to</strong> a risk <strong>of</strong> being attacked or harmed (Oxford Dictionary 2006,<br />

1621). In this thesis, it refers <strong>to</strong> the likelihood that a site’s biodiversity will be lost in the future<br />

(Pressey and Taffs 2001, 355). It can be viewed as a temporal, rather than a spatial<br />

measure, <strong>of</strong> irreplaceability, i.e. an area can either be conserved now or not at all. In<br />

contrast, sites <strong>with</strong> a low vulnerability reserve other options for future protection. It can either<br />

be measured on a site-basis (species will be lost from that particular site) or species-basis<br />

(species will go globally extinct) (Langhammer et al. 2007, 7).<br />

112


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121


APPENDIX<br />

Appendices<br />

A1<br />

Explanations <strong>to</strong> Key Questions, Criteria and Sub-Criteria<br />

A. Are all levels <strong>of</strong> biodiversity addressed? Genetic diversity (C1), species diversity (C2),<br />

ecosystem diversity (C3)<br />

In order for the sub-criterion ecosystem diversity <strong>to</strong> be addressed fully, the approach should <strong>identify</strong><br />

<strong>areas</strong> containing globally, regionally or locally rare, threatened or endangered ecosystems.<br />

For species richness <strong>to</strong> be addressed completely, the approach should <strong>identify</strong> <strong>areas</strong> containing<br />

several globally, regionally or locally rare, threatened, endangered and/or endemic species. Speciesrich<br />

<strong>areas</strong> <strong>with</strong>out these previously stipulated species will not be sufficient for the sub-criterion <strong>to</strong> be<br />

met, as these <strong>areas</strong> are less <strong>of</strong> a priority for conservation purposes due <strong>to</strong> the concept <strong>of</strong><br />

irreplaceability (Langhammer et al. 2007, 7, 9).<br />

Genetic diversity provides the full range <strong>of</strong> resources for species <strong>to</strong> adapt <strong>to</strong> human impact and<br />

environmental change. Thus, conservation strategies should aim <strong>to</strong> include genetic diversity<br />

(Lindenmayer and Burgman 2005, 28, 29). However, since it is difficult <strong>to</strong> consider genetic diversity in<br />

conservation strategies (Lindenmayer and Burgman 2005, 30), the sub-criterion can still be met<br />

partially and/ or indirectly <strong>with</strong> the approach still being classified as very strong. The sub-criterion can<br />

be met indirectly through large intact landscapes 83 , as these maintain viable populations or<br />

metapopulations (groups <strong>of</strong> spatially separated populations) (HCV Resource Network 2005-07).<br />

Populations are the smallest demographic unit <strong>with</strong>in which the exchange <strong>of</strong> genetic material is more<br />

or less unrestricted. By providing suitable habitat for populations or megapopulations, genetic<br />

variation is conserved (Lindenmayer and Burgman 2005, 31). It can also be met partially, for example,<br />

if the approach specifically incorporates some species genetic data and includes this in the<br />

conservation strategy. It is, however, only met partially, as it is assumed that those few species, for<br />

which genetic data exists, will cover the needs <strong>to</strong> maintain or enhance the genetic diversity <strong>of</strong> all other<br />

species <strong>with</strong>in the area (Interview Partner J).<br />

B. Are all ecosystem types addressed? Terrestrial (C4), aquatic (C5)<br />

For all ecosystem types <strong>to</strong> be addressed, the approach has <strong>to</strong> be designed <strong>to</strong> be implemented in<br />

different types <strong>of</strong> terrestrial and aquatic ecosystems. Due <strong>to</strong> time limitations, this thesis has not<br />

distinguished between fresh and salt water ecosystems. The sub-criteria can be partially addressed if<br />

the approach has been designed <strong>to</strong> be implemented in a few different ecosystems.<br />

C. At which geographic scale is the approach applicable? Local (C6), regional (C7), global<br />

(C8) 84<br />

Approaches implemented on a larger scale, in many <strong>areas</strong> <strong>of</strong> the world, across multiple landscapes,<br />

allow for applicability and allow one <strong>to</strong> learn how the <strong>approaches</strong> function in different <strong>areas</strong> and<br />

countries (Interview Partner K). For the sub-criteria <strong>to</strong> be addressed, the approach has <strong>to</strong> be designed<br />

for application at each scale. Thus, <strong>to</strong> say an approach has been replicated on a global scale, it must<br />

have been performed in several different <strong>areas</strong> worldwide. The sub-criteria local and regional are<br />

addressed fully, if an approach has been implemented in several different local and regional <strong>areas</strong>,<br />

83 Please refer <strong>to</strong> chapter 4.1.1.2, Ecosystem Specific Criteria, for a detailed explanation.<br />

84 Please refer <strong>to</strong> chapter 7, General Terms, for precise definitions <strong>of</strong> local, regional and global.<br />

123


espectively. For a conservation strategy <strong>to</strong> be effective, the wider landscape context should always<br />

be considered (Interview Partner D and K). Thus, the local sub-criterion has been weighted less<br />

important than the other two sub-criteria. The local scale on its own will not be as effective as a local<br />

level analysis taking the regional context in<strong>to</strong> consideration. Furthermore, it has been assumed that<br />

the regional level should always encompass the local level. Therefore, for the approach <strong>to</strong> be<br />

classified as very strong either all sub-criteria are met fully or only the sub-criteria regional and global<br />

are met fully <strong>with</strong> the local being partially addressed. In addition, any weakness <strong>of</strong> the scales will<br />

result in the sub-criteria being only partially addressed.<br />

D. At which level has the approach been implemented? Private sec<strong>to</strong>r level (C9), public sec<strong>to</strong>r<br />

level (C10)<br />

The sub-criterion private sec<strong>to</strong>r level is classified as being addressed fully if the approach has been<br />

designed <strong>to</strong> be implemented by and/ or <strong>with</strong>in the private sec<strong>to</strong>r. If weaknesses in implementation<br />

exist, then this sub-criterion will only be addressed partially. The sub-criterion, public sec<strong>to</strong>r level, is<br />

classified as being captured fully, if the approach has been designed <strong>to</strong> be implemented by and/ or<br />

<strong>with</strong>in the public sec<strong>to</strong>r. Again, any weaknesses will classify the sub-criterion as being partially met.<br />

E. Which style <strong>of</strong> implementation does the approach apply? 85 Top-down (C11), bot<strong>to</strong>m-up (C12)<br />

Ideally, any approach should incorporate both a <strong>to</strong>p-down and bot<strong>to</strong>m-up approach (Interview Partner<br />

C). The sub-criterion <strong>to</strong>p-down has been captured if a conservation project originated at a national or<br />

international level and then focused on a local level. This can refer <strong>to</strong> two different aspects. Firstly, it<br />

may mean the enforcement <strong>of</strong> a project by a government or intergovernmental institution on the local<br />

level. However, it can also refer <strong>to</strong> international indices, criteria, thresholds or data being incorporated<br />

in<strong>to</strong> implementation. One <strong>of</strong> these aspects is sufficient for the sub-criterion <strong>to</strong> be addressed fully.<br />

Nevertheless, any identifies weaknesses for one <strong>of</strong> these aspects result in the sub-criterion being<br />

partially met. In contrast, the sub-criterion bot<strong>to</strong>m-up has been captured if a conservation project<br />

originates at the local level through the involvement <strong>of</strong> local stakeholders and through the<br />

establishment <strong>of</strong> user groups. In addition, indices, criteria, thresholds or data determined at a local<br />

level, <strong>with</strong> the subsequent adoption at a national or international level, is also sufficient for this subcriterion<br />

<strong>to</strong> have been met fully. Again, if any weakness exists the sub-criterion will only be partially<br />

addressed.<br />

F. For whom is the approach suitable? International experts (C13), national experts (C14), local<br />

user groups (C15)<br />

Ideally an approach employs a wide range <strong>of</strong> practitioners, confirming the user friendliness and<br />

practicality <strong>of</strong> the approach, thus ensuring a broader range <strong>of</strong> implementation (Interview Partner K).<br />

The sub-criteria should determine which users are able <strong>to</strong> implement an approach. This thesis has<br />

specified that a balance <strong>of</strong> international and national experts, as well as local user groups, would be<br />

best <strong>to</strong> ensure wide application and successful implementation (i.e. <strong>to</strong>p down and bot<strong>to</strong>m up). National<br />

experts are essential for the implementation <strong>of</strong> any approach, as they ensure a high level <strong>of</strong> rigour and<br />

indicate that the approach is based on best understanding <strong>of</strong> conservation science (Interview Partner<br />

K). If only a few highly skilled experts (i.e. international experts) are able <strong>to</strong> use the approach, this<br />

shows it <strong>to</strong> be not only archaic, as the trend is moving away from relying purely on international<br />

experts, but also complex and generally aligned <strong>with</strong> high cost. Thus, the sole use <strong>of</strong> international<br />

experts results in limited impact and utility and less effectiveness (Interview Partner K). The inclusion<br />

<strong>of</strong> local user groups in the process encourages ownership and therefore also implementation success<br />

at the local level (Interview Partner M). However, this purely bot<strong>to</strong>m-up approach may lack credibility<br />

at a regional or global scale (Interview Partner O). An approach is classified as strong, if an even<br />

A1<br />

85 For a more accurate result, criterion E should have rather been divided in<strong>to</strong> two criteria, separating<br />

the governance aspect <strong>of</strong> <strong>to</strong>p-down and bot<strong>to</strong>m-up from the data aspect.<br />

124


APPENDIX<br />

spread <strong>of</strong> national and international experts work <strong>to</strong>gether <strong>with</strong> local user groups. In contrast, it is<br />

classified as weak if national experts are not included in the identification phase.<br />

G. Which methods were employed for site choice? Site visits (C15), surveys (C16), additional<br />

methods (C17)<br />

In order <strong>to</strong> determine the appropriate site for conservation action, biodiversity needs <strong>to</strong> be evaluated<br />

(Hill et al. 2005, 65). The exact methodology implemented will change according <strong>to</strong> the goal and the<br />

available resources. For instance, if an approach aims <strong>to</strong> gain political support, stakeholder and expert<br />

surveys would be sufficient. These methodologies require less time and finance than, for example,<br />

detailed inven<strong>to</strong>ries as part <strong>of</strong> site visits. In contrast, for university support, long term inven<strong>to</strong>ries would<br />

be required. Furthermore, resources, such as personnel, cost, time and available data, will all dictate<br />

the choice <strong>of</strong> methodology for site identification (Interview Partner L). For an approach <strong>to</strong> have<br />

implementation success, stakeholder involvement, for example through surveys, is essential<br />

(Interview Partner M). Expert surveys have been included in this sub-criterion, since it is assumed that<br />

experts <strong>with</strong> knowledge <strong>of</strong> a given area will have a direct or indirect interest in the use and<br />

management <strong>of</strong> some aspect <strong>of</strong> its biodiversity (see General Terms). Where time is <strong>of</strong> an essence, a<br />

rapid assessment may be the preferred choice, however, high financial resources may be required<br />

(Interview Partner I). Since the available resources and the objective <strong>of</strong> the approach will dictate the<br />

choice <strong>of</strong> methodology for site identification (CBD 2005, 11), this thesis has firstly established a list <strong>of</strong><br />

differences between, and strengths and weaknesses <strong>of</strong> <strong>approaches</strong> in their choice <strong>of</strong> methods, but<br />

does not establish precise implementation rigour there<strong>of</strong>. Secondly, it has determined that a broad<br />

range <strong>of</strong> applicable methods, endows flexibility and versatility on<strong>to</strong> the approach.<br />

H. Which resources are required for identification <strong>of</strong> important <strong>areas</strong> for biodiversity<br />

conservation? Financial resources (C18), human resources (C19), required time (C20)<br />

Ideally, the required financial and human resources and the time needed for project implementation<br />

should be kept <strong>to</strong> a minimum, <strong>with</strong>out compromising the quality <strong>of</strong> the outcome. However the financial<br />

resources available will dictate the amount <strong>of</strong> time and the personnel one has at one's disposal.<br />

Additionally, available experts will alter the cost and time required for any project. For example, in the<br />

absence <strong>of</strong> national experts, international experts will be needed, thus, further increasing personnel<br />

costs. Moreover, other aspects such as the goal and size <strong>of</strong> the project, available data, use <strong>of</strong> remote<br />

sensing imagery and so on, will alter all three sub-criteria (Stewart 2009, 11). Therefore, this thesis<br />

aims <strong>to</strong> <strong>identify</strong> and list the differences in financial, human and time resources that may be required by<br />

the different <strong>approaches</strong>, in order <strong>to</strong> provide an overview <strong>of</strong> these sub-criteria.<br />

I. Which data is required for the identification <strong>of</strong> important <strong>areas</strong>? Use <strong>of</strong> existing data (C21),<br />

data acquisition (C22), data validation (C23), use <strong>of</strong> remote sensing (C24)<br />

Data requirements will foremost depend on the objective <strong>of</strong> the approach (Interview Partner L). In<br />

addition, the methodology <strong>of</strong> data acquisition and validation will depend on the urgency <strong>of</strong> the project,<br />

the availability and validity <strong>of</strong> existing data, the available resources (i.e. time, money and personnel)<br />

and the size <strong>of</strong> the project (Stewart 2009, 11, 12). Furthermore, the latter two fac<strong>to</strong>rs (resources and<br />

project size) will also dictate the use and extent <strong>of</strong> remote sensing technology (Hill et al. 2005, 155,<br />

156, 167). Therefore, this thesis aims <strong>to</strong> <strong>identify</strong> all sources that an approach may utilize and will not<br />

evaluate the exact procedure <strong>of</strong> implementing and obtaining data.<br />

125


J. Is a scoping assessment possible? Required resources (C26), required time (C27)<br />

A scoping assessment aims <strong>to</strong> <strong>identify</strong> existing data, data gaps needing <strong>to</strong> be filled (Stewart et al.<br />

2008, 8, 11), the assessment team required, the cost <strong>of</strong> the assessment (Dinerstein et al. 2000, 55;<br />

Groves et al. 2000, 2-1) and where, when and <strong>with</strong> whom field surveys are going <strong>to</strong> take place<br />

(Stewart et al. 2008, 15, 19). Thus, the sub-criteria have been addressed fully if the approach has<br />

been designed so that the required resources (data, personnel and cost) and the time needed <strong>to</strong><br />

complete implementation are identified during the scoping assessment. The required resources subcriterion<br />

has been partially addressed if two <strong>of</strong> the three aspects (eg. cost and data or personnel and<br />

data) have been addressed.<br />

K. Which threats are considered? What is their severity? Internal (C28), external (C29)<br />

Understanding threats, both internal and external, <strong>to</strong> a given area is critical in <strong>identify</strong>ing biodiversity<br />

relevant <strong>areas</strong> <strong>to</strong> be set-aside (Stewart et al. 2008, 31). These threats should then be ranked<br />

according <strong>to</strong> their severity. Thus, allowing conservation <strong>areas</strong> <strong>to</strong> be prioritised <strong>with</strong> regard <strong>to</strong> their<br />

ecological cost (Interview Partner J).<br />

L. Is guidance for appropriate moni<strong>to</strong>ring steps provided? Moni<strong>to</strong>ring recommendations (C30)<br />

The approach is considered strong if moni<strong>to</strong>ring recommendations are made at the end <strong>of</strong> the<br />

identification stage. These recommendations may include moni<strong>to</strong>ring activities such as social and<br />

biological surveys, as well as direct and indirect observation <strong>of</strong> indica<strong>to</strong>rs which should involve<br />

detailed data collection over the long term. Data should be analysed, reported and acted upon<br />

(Stewart et al. 2008, 37-39). This will determine whether the goals or the objectives <strong>of</strong> management<br />

have been, or are being, met.<br />

A1<br />

M. Is guidance for appropriate management steps provided? Management recommendations<br />

(C31)<br />

The approach is considered strong if management recommendations are made at the end <strong>of</strong> the<br />

identification stage. These should include the goals or objectives <strong>of</strong> the conservation project and ways<br />

<strong>of</strong> achieving them. The management recommendations may include proposals <strong>to</strong> maintain, res<strong>to</strong>re or<br />

enhance values, depending on what is required (Stewart et al. 2008, 31).<br />

N. How many different species are conserved? What is their status? Amount (C32), threat<br />

status (C33), irreplaceability (C34), sensitivity or <strong>to</strong>lerance <strong>to</strong> a threat (C35)<br />

To answer such questions and <strong>to</strong> evaluate the achievements <strong>of</strong> the approach’s objectives, moni<strong>to</strong>ring<br />

information based on reliable science would be highly desirable. However, due <strong>to</strong> the limited<br />

resources allocated <strong>to</strong> biodiversity conservation, this key question has not been addressed by any<br />

project using one <strong>of</strong> the chosen <strong>approaches</strong> for site identification (Interview Partners D, E and O). The<br />

eventual results <strong>of</strong> any approach will be entirely dependent on the goal and the region <strong>of</strong><br />

implementation (Interview Partner E). Furthermore the effectiveness (see General Terms) <strong>of</strong> an<br />

approach needs <strong>to</strong> be taken <strong>to</strong> the landscape level, in order <strong>to</strong> establish global results in terms <strong>of</strong><br />

biodiversity (Interview Partner K). Thus, considering the number <strong>of</strong> species is not really an appropriate<br />

measure <strong>of</strong> effectiveness, one should rather look at the project’s objective and from there determine<br />

whether the values are still present and whether management changes have been implemented<br />

(Interview Partner G and O). Specifically chosen indica<strong>to</strong>rs could be used <strong>to</strong> measure the<br />

effectiveness <strong>of</strong> an approach. These include threat abatement, increase in suitable habitat and/ or<br />

res<strong>to</strong>ration <strong>of</strong> natural habitat (Interview Partner O). As this is extremely difficult <strong>to</strong> assess and has not<br />

been done by any <strong>of</strong> the <strong>approaches</strong> (Interview Partner O), this thesis will not be able <strong>to</strong> discuss this<br />

point any further.<br />

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APPENDIX<br />

O. How large is the protected area (PA)? Is this area connected <strong>to</strong> other PAs? Size (C36), state<br />

or naturalness (37), connectivity <strong>to</strong> other PAs (C38), representativeness (C39)<br />

The design <strong>of</strong> PAs is dependent on size, shape and boundaries. Information from the assessment <strong>of</strong><br />

reserve design can be used <strong>to</strong> <strong>identify</strong> ways <strong>to</strong> improve management effectiveness (Hockings et al.<br />

2006, 14). Thus, by understanding reserve design, biodiversity conservation can be optimised. The<br />

size <strong>of</strong> a PA will determine the viability or likelihood <strong>of</strong> long-term survival <strong>of</strong> many species, e<strong>special</strong>ly<br />

those that require large home ranges. Additionally, the shape <strong>of</strong> any PA is important, as a set-aside<br />

area <strong>with</strong> a lower boundary <strong>to</strong> area ratio is less exposed <strong>to</strong> edge effects. However, the integrity <strong>of</strong> a<br />

reserve and its insulation from outside influences depends not only on its size and shape, but also on<br />

the nature <strong>of</strong> the boundaries. PAs should not be seen as isolated entities, but rather be part <strong>of</strong> the<br />

broader conservation landscape (Hill et al. 2005, 85), as conservation goals will not be achieved<br />

through a single set-aside area or a single population. Rather, populations scattered across<br />

landscapes and connected by movement will be optimal. Maintaining connectivity is one <strong>of</strong> the most<br />

critical aspects <strong>of</strong> multiple species conservation (Millspaugh and Thompson 2008, 64). Since this is<br />

extremely difficult <strong>to</strong> measure and has not been done by any <strong>of</strong> the assessed <strong>approaches</strong> (Interview<br />

Partners D, E and O), this measure <strong>of</strong> effectiveness will not be addressed further in this thesis.<br />

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A2<br />

A2<br />

Semi-structured Interview Guideline<br />

0 Background information:<br />

1. Detailed information <strong>to</strong> the interview can be found in the separate thesis outline.<br />

2. Depending on your area <strong>of</strong> expertise, certain questions will not be relevant and, therefore, will not<br />

have <strong>to</strong> be answered.<br />

3. The <strong>approaches</strong> relevant <strong>to</strong> the interview are as follows:<br />

HCV: High Conservation Value<br />

KBA: Key Biodiversity Areas<br />

ERBC: Ecoregion-based Conservation<br />

FSA: Focal Species Approach<br />

REA: Rapid Ecological <strong>Assessment</strong><br />

I<br />

Pr<strong>of</strong>essional background & relation <strong>to</strong> <strong>to</strong>pic<br />

• Name:<br />

• Do you have any questions <strong>to</strong> the purpose <strong>of</strong> this interview?<br />

• What is your current position?<br />

Since when have you worked for the organisation?<br />

What is your area <strong>of</strong> expertise?<br />

• Have you ever been involved in the process <strong>of</strong> <strong>identify</strong>ing <strong>areas</strong> important for biodiversity<br />

conservation?<br />

• If yes, in which regions have you worked so far?<br />

II<br />

Approaches & their characteristics<br />

• Which <strong>approaches</strong> used <strong>to</strong> <strong>identify</strong> <strong>areas</strong> relevant <strong>to</strong> biodiversity conservation do you know?<br />

• Can you describe any strengths or weaknesses for these <strong>approaches</strong>?<br />

Note: please consider the <strong>approaches</strong> relevant <strong>to</strong> this thesis<br />

• Are there other <strong>approaches</strong> that, in your opinion, may be important for <strong>identify</strong>ing <strong>areas</strong> <strong>of</strong> high<br />

biodiversity?<br />

• With regard <strong>to</strong> the criteria, can you think <strong>of</strong> any other criteria which may be important for comparing<br />

methods used <strong>to</strong> <strong>identify</strong> biodiversity relevant <strong>areas</strong>?<br />

• How would you measure the efficiency <strong>of</strong> the <strong>approaches</strong>?<br />

eg. cost; time required; benefit:cost ratio; any other<br />

• Do you have any recommendations/ ideas on how <strong>to</strong> improve the efficiency <strong>of</strong> the <strong>approaches</strong>?<br />

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APPENDIX<br />

III<br />

Approaches & their requirements<br />

Note: The following questions predominantly serve <strong>to</strong> estimate the efficiency <strong>of</strong> the <strong>approaches</strong><br />

HCV; KBA; ERBC; Focal; REA. If you only have knowledge on one or some <strong>of</strong> the <strong>approaches</strong>,<br />

please answer the relating questions. Estimated values will be sufficient.<br />

A. Time:<br />

• How much time is required for implementing the <strong>approaches</strong>?<br />

eg. HCV; KBA; ERBC; Focal; REA or any others<br />

If possible, please state whether these figures are for the entire process or the identification<br />

phase only.<br />

• Should efforts rather concentrate on existing biodiversity conservation initiates?<br />

• Can the required time be reduced <strong>with</strong>out compromising the efficiency? Do you have any ideas<br />

on this?<br />

B. Cost:<br />

• How much does the implementation <strong>of</strong> the <strong>approaches</strong> cost?<br />

If possible, please state whether these figures are for the entire process or the identification<br />

phase only.<br />

• How could this amount be reduced <strong>with</strong>out compromising the efficiency? Do you have any ideas<br />

on this?<br />

C. Human Resources:<br />

• Which human resources are required for implementing the <strong>approaches</strong>?<br />

eg. international experts; national experts; local experts; non-<strong>special</strong>ist users <strong>with</strong> or <strong>with</strong>out<br />

training<br />

If possible, please state whether these figures are for the entire process or the identification<br />

phase only.<br />

• How could the required human resources best be decreased? Do you have any ideas on this?<br />

D. Data requirements:<br />

• How is data collection designed (easy/ complex)?<br />

eg. use <strong>of</strong> existing data; data acquisition; validation; use <strong>of</strong> remote sensing<br />

• Can the required data easily be used by non-<strong>special</strong>ist users?<br />

• How (easy/ complex) can the collected data be unders<strong>to</strong>od?<br />

E. Purpose <strong>of</strong> the approach:<br />

• How efficient is the approach for the conservation <strong>of</strong> biodiversity?<br />

For species:<br />

How many species on average are conserved?<br />

Can these estimations be used for a global comparison?<br />

For protected <strong>areas</strong>:<br />

What is the ideal reserve size? How would you best protect the naturalness <strong>of</strong> the identified<br />

area?<br />

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A2<br />

F. Certification:<br />

• How do market based initiatives fare in biodiversity conservation?<br />

eg. efficiency; in comparison <strong>to</strong> governance <strong>approaches</strong><br />

• Are market based initiates efficient in biodiversity conservation?<br />

• How do they compare <strong>to</strong> classical protected <strong>areas</strong>?<br />

IV<br />

Summary, evaluation & outlook<br />

• How meaningful can <strong>approaches</strong> for <strong>identify</strong>ing valuable biodiversity regions be for biodiversity<br />

conservation at all?<br />

• Should efforts rather concentrate on existing biodiversity conservation initiates?<br />

eg. improving reserve design; improving connectivity; the "SLOSS debate": whether a Single<br />

Large or Several Small reserves are best for conservation?<br />

• Are there any current debates going on in your organisation on this <strong>to</strong>pic?<br />

• What is your personal opinion?<br />

• Are there any further points you would wish <strong>to</strong> add?<br />

• Could you recommend any further experts whom I could ask for an interview?<br />

eg. companies from the private sec<strong>to</strong>r<br />

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APPENDIX<br />

A3<br />

List <strong>of</strong> Interview Partners<br />

Table 16: List <strong>of</strong> all interview partners and their organisations/ companies<br />

Name<br />

Organisation<br />

1. Dr. Brooks, Tom Conservation International<br />

2. Hayward, Jeff The Rainforest Alliance<br />

3. Dr. Hess, George<br />

4. Killeen, Timothey Conservation International<br />

5. Laporte, Jérôme TEREA Consulting<br />

6. Liedecker, Heiko Leading Standards Consulting<br />

7. Marshall, Rob The Nature Conservancy<br />

8. Moore, Jim The Nature Conservancy<br />

9. Nolte, Chris<strong>to</strong>ph University <strong>of</strong> Greifswald<br />

10. Pollard, Edward Wildlife Conservation Society<br />

11. Rayden, Tim Pr<strong>of</strong>orest<br />

12. Dr. Stewart, Chris<strong>to</strong>pher HCV Resource Network<br />

13. Vicariu, Kim Wildlands Network<br />

14. Wensing, Daan IUCN National Committee, NT<br />

Source: Own design<br />

NC State University; Department <strong>of</strong> Forestry & Environmental<br />

Resources<br />

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A4-INTERVIEW PARTNER A<br />

A4<br />

Interview Reports<br />

A4-1 Interview Partner A<br />

II<br />

Approaches & their characteristics<br />

• Which <strong>approaches</strong> used <strong>to</strong> <strong>identify</strong> biodiversity relevant <strong>areas</strong> do you know?<br />

I am a practitioner in natural resource management and not a biologist <strong>with</strong> expert knowledge on<br />

specific species or taxa who, for instance, has been trained in implementing KBA. I analyse<br />

various <strong>approaches</strong> <strong>with</strong> respect <strong>to</strong> their relevance and how they can be implemented.<br />

The issue is presented <strong>to</strong> me somewhat differently. On the one hand, we already support large<br />

protected <strong>areas</strong>. The decision whether they are important from a biodiversity aspect has,<br />

therefore, already been made. On the other hand, the question, which <strong>areas</strong> should be protected<br />

for biodiversity conservation, arises in two different categories.<br />

The first category is again biodiversity in protected <strong>areas</strong>. When the 'Programme <strong>of</strong> Work' by the<br />

CBD was approved in 2004, a gap analysis formed an important element <strong>of</strong> the program. In other<br />

words, we dealt <strong>with</strong> the question <strong>of</strong> whether a representative system <strong>of</strong> protected <strong>areas</strong> exist or<br />

not, if not then proposals where developed <strong>to</strong> close these “gaps”. This analysis mostly follows the<br />

IUCN or TNC guidelines. Many NGOs, including Conservation International, Birdlife International,<br />

IUCN und UNEP <strong>with</strong> their Bird Conservation Moni<strong>to</strong>ring Set-Up have developed the Integrated<br />

Biodiversity <strong>Assessment</strong> Tool (IBAT). We are not much involved in the methodologies behind a<br />

GAP analysis, as they are implemented for national protected area systems.<br />

In the past, focus was on biodiversity <strong>with</strong>in protected <strong>areas</strong>. However, the second category,<br />

previously neglected, is biodiversity conservation outside <strong>of</strong> protected <strong>areas</strong>. This predominantly<br />

applies <strong>to</strong> forestry and agriculture <strong>with</strong> respect <strong>to</strong> issues <strong>of</strong> land-use. Here, a backlog still exists<br />

where <strong>areas</strong> important for biodiversity conservation still need <strong>to</strong> be identified in order <strong>to</strong><br />

additionally conserve biodiversity. In this category <strong>of</strong> sustainable forestry and/ or agriculture, as<br />

well as land-use classification systems, one needs <strong>to</strong> deal <strong>with</strong> criteria on a management level,<br />

as is the case <strong>of</strong> the HCV concept.<br />

KBA are identified on a national level. When working on a management level one is far closer <strong>to</strong><br />

the object <strong>of</strong> interest thus, additional classifications may be required.<br />

The ERBC is far more a macro-level approach.<br />

I have never heard <strong>of</strong> FSA. We have never worked <strong>with</strong> this approach.<br />

REAs are extremely elaborate and complex. They are called rapid, even though, the criteria are<br />

very difficult <strong>to</strong> analyse. A <strong>to</strong>ol becomes complex when it follows a multidisciplinary approach,<br />

e<strong>special</strong>ly at a management level. For example, people responsible for management plans in the<br />

ministry <strong>of</strong> forestry have a certain amount <strong>of</strong> biological know-how. However, due <strong>to</strong> the pressure<br />

under which these management plans are produced, it is difficult <strong>to</strong> look in<strong>to</strong> the various criteria<br />

required for an REA.<br />

• Will this problem be the same for the HCV concept?<br />

Yes, but a few <strong>of</strong> the HCV criteria are relatively easy <strong>to</strong> address. For instance, <strong>areas</strong> fundamental<br />

in meeting the needs <strong>of</strong> local communities are easily identified by speaking <strong>to</strong> the people. For<br />

this, one need not be a biologist.<br />

These <strong>areas</strong> which are important in terms <strong>of</strong> biodiversity are also either under specific protection<br />

or are <strong>of</strong> <strong>special</strong> interest. In the case <strong>of</strong> timber production, these <strong>areas</strong> are <strong>of</strong>ten also <strong>areas</strong> <strong>of</strong><br />

conflict. At the same time, one is still forced <strong>to</strong> map <strong>areas</strong> due <strong>to</strong> their fragility, such as wetlands<br />

(as logging is <strong>to</strong>o difficult/ damaging in these ecosystems), <strong>areas</strong> <strong>with</strong> steep slopes (as<br />

technology is unable <strong>to</strong> log and erosion risks are high) and certain requirements regarding entire<br />

water courses (<strong>to</strong> protect corridors along river banks). Thus, leading <strong>to</strong> the exclusion <strong>of</strong> <strong>areas</strong><br />

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APPENDIX<br />

which can quite possibly reach a size <strong>of</strong> 20% <strong>of</strong> a concession. Of course, for all methods<br />

identification requires the input <strong>of</strong> biologists and <strong>special</strong>ists. Ideally enough orientation would be<br />

available, so that in a normal management situation the experts employed would be sufficient <strong>to</strong><br />

exclude <strong>areas</strong> from production.<br />

Land-use planning may also require the input <strong>of</strong> biologists. This is the case in Germany, but not<br />

necessarily a requirement in other countries. The use <strong>of</strong> biologists in land-use planning or spatial<br />

planning will depend on the authorities <strong>of</strong> the country in question and the specific regulations.<br />

Additionally, the question arises whether specific <strong>special</strong>ists are available or not. The approach<br />

here is about practicality.<br />

The important aspect is <strong>to</strong> be sure <strong>of</strong> the objectives for which the method is being implemented.<br />

Is the goal <strong>to</strong> <strong>identify</strong> <strong>areas</strong> under legal protection (i.e. national parks, this would involve<br />

extensive <strong>areas</strong>)? Or is the goal <strong>to</strong> conserve biodiversity in <strong>areas</strong> under sustainable use, such as<br />

forestry or agriculture? The HCV concept has arisen from the HCV forest concept (HCVF). The<br />

focus was on sustainable forestry and the general phrasing <strong>of</strong> 'Value' emerged, as one wanted <strong>to</strong><br />

expand this method for use in other <strong>areas</strong> under alternate land-usage, particularly <strong>with</strong> regard <strong>to</strong><br />

guidelines for agricultural land-use changes. Thus, the HCV concept is important <strong>with</strong> regards <strong>to</strong><br />

sustainable palm oil certification.<br />

We have had the most contact <strong>to</strong> the HCV concept in this context. The principles that succeed,<br />

such as water protection management, limiting landscape conversions and, most importantly, the<br />

debate between different local interest groups. With this in view, one should ask: Which <strong>special</strong><br />

biodiversity aspects should be considered? If <strong>areas</strong> <strong>with</strong> <strong>special</strong> values have not already been<br />

identified, at least at a national level, this is very unlikely <strong>to</strong> occur on a lower level where the<br />

focus is more on ecosystem services than biodiversity itself.<br />

• But this has already been done on a macro scale.<br />

One must always look <strong>to</strong> see whether these <strong>approaches</strong> have indeed been conducted. For<br />

example, one could then discover that 20% <strong>of</strong> the country's terri<strong>to</strong>ry had already been set aside<br />

for conservation and legally gazetted. Possibly, a GAP analysis had been performed <strong>with</strong> the<br />

outcome that specific ecosystem types were under represented. Therefore, further establishment<br />

<strong>of</strong> protected <strong>areas</strong> would be required. This however, does not necessarily mean that these<br />

additional processes were actually implemented (i.e. the establishment <strong>of</strong> further protected<br />

<strong>areas</strong>). This means that the high percentage <strong>of</strong> protected area in a given country would have <strong>to</strong><br />

be increased further, which given the pressure from an increasing population and demand for<br />

agricultural lands, would be impossible <strong>to</strong> realise. Thus, the question arises how far one<br />

integrates the GAP analysis recommendations in<strong>to</strong> an agriculture setting, <strong>with</strong>out setting aside<br />

still more strictly protected <strong>areas</strong>, according <strong>to</strong> the IUCN designation.<br />

It may be <strong>of</strong> interest <strong>to</strong> produce a process diagram <strong>of</strong> the different, useful implementation options<br />

for the various <strong>approaches</strong>. A country that has already set aside 20% <strong>of</strong> its terri<strong>to</strong>ry, according <strong>to</strong><br />

specific conservation categories, need not have identified these according <strong>to</strong> biodiversity values<br />

but for other reasons.<br />

Certain components <strong>of</strong> protected area systems are important at the global level, for example,<br />

Biospheres and World Heritage Sites. In contrast, many protected <strong>areas</strong> were established as<br />

they were the last remaining large intact ecosystems and this was only because they were<br />

subjected <strong>to</strong> the least settlement pressure or threat. This could result in a relatively large area<br />

being set aside, despite methods for <strong>identify</strong>ing and evaluating biodiversity having had nothing <strong>to</strong><br />

do <strong>with</strong> the identification.<br />

A biologist addresses the question differently. They focus on a specific outcome and the<br />

corresponding methodology. From my point <strong>of</strong> view, each <strong>of</strong> these methods is qualified. I would<br />

look <strong>to</strong> see which method has an acceptable level <strong>of</strong> input and the best result, possibly which<br />

method includes most experience <strong>with</strong> it or whether useful results have already been obtained.<br />

One very rarely finds a situation where one can start from scratch. For example, one has a<br />

handful <strong>of</strong> methods or instruments <strong>to</strong> choose from. Here one would be able <strong>to</strong> decide which<br />

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A4-INTERVIEW PARTNER A<br />

method would deliver the best outcome. But rather, one arrives at a situation where something<br />

already exists and someone in the area or close by is already working on it. This person may<br />

already be in the process <strong>of</strong> mapping the area and working <strong>with</strong> a particular method, because<br />

they work for a specific organisation. And as I am glad that someone is already doing the work, I<br />

certainly will not start discussing their choice <strong>of</strong> methodology.<br />

As an example, some organisations which work well from a science point <strong>of</strong> view are:<br />

Conservation International regarding issues related <strong>to</strong> protected <strong>areas</strong>. They work <strong>with</strong> the KBA<br />

approach. If they have worked <strong>with</strong> this approach and submitted their results or outcomes, then I<br />

would definitely not tell them that they should rather have performed a REA.<br />

One is able <strong>to</strong> rank the methods according <strong>to</strong> scientific criteria <strong>with</strong> an end result that one <strong>of</strong> the<br />

methods is best. However, different criteria play an important role in which method should<br />

ultimately be implemented for various biodiversity aspects.<br />

This thesis is <strong>of</strong> interest from the aspect that the differences between various <strong>approaches</strong> are<br />

being investigated and what they can achieve and where they can be used. Thus, resulting in a<br />

ranking <strong>of</strong> the <strong>approaches</strong> <strong>with</strong> practitioners then being able <strong>to</strong> say why they chose a specific<br />

method, as the advantages and disadvantages are openly known. Possibly, one can also<br />

determine what cannot be achieved by these methods. However, it is <strong>of</strong>ten not possible <strong>to</strong><br />

choose completely free a method.<br />

National GAP analyses (funded through the adoption <strong>of</strong> the CBD 'Programme <strong>of</strong> Work') were<br />

performed in many countries by TNC. Thus, the location <strong>of</strong> existing protected <strong>areas</strong> was<br />

established and where additional <strong>areas</strong>, required for representation and minimal connectivity,<br />

should be. Connectivity plays an extremely important role in conservation planning. Alternative<br />

possibilities, other than the strict IUCN protected area categories (I-IV), allow for <strong>areas</strong> <strong>to</strong> remain<br />

intact, for instance, the sustainable use <strong>of</strong> an area. However, in line <strong>with</strong> a national protected<br />

area system, connectivity is <strong>of</strong> utmost <strong>importance</strong>. Particularly in view <strong>of</strong> adaptation <strong>to</strong> climate<br />

change, key protected <strong>areas</strong> exist which, under careful consideration, should be linked both<br />

horizontally and vertically. Again, further <strong>areas</strong> <strong>with</strong> a specific function (watershed protection)<br />

should also be set aside. These additional <strong>areas</strong>, need not necessarily have high biodiversity<br />

values, but have rather been selected due <strong>to</strong> their high level <strong>of</strong> intactness, thus enabling the<br />

formation <strong>of</strong> corridors for the movement <strong>of</strong> specific species.<br />

• Do the achievements <strong>of</strong> these methods relate <strong>to</strong> their efficiency?<br />

Yes, what the method achieves and which results one can obtain <strong>with</strong>in a specific time frame are<br />

related. How great is the effort that one must put in <strong>to</strong> get a specific outcome?<br />

The outcome <strong>of</strong> methods can also be ranked. I would look at both, the outcome weighed against<br />

the costs and effort.<br />

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A4-2 Interview Partner B<br />

II<br />

Approaches & their characteristics<br />

• How would you measure the efficiency <strong>of</strong> <strong>approaches</strong> used <strong>to</strong> <strong>identify</strong> biodiversity relevant<br />

<strong>areas</strong>?<br />

Different organisations use many different <strong>approaches</strong>. The implementation <strong>of</strong> these <strong>approaches</strong><br />

is extremely interesting. However, in terms <strong>of</strong> their efficiency, no reliable data exists in the<br />

literature. It is easy <strong>to</strong> <strong>identify</strong> <strong>areas</strong> based on species, but then the approach might be hindered<br />

in the implementation phase. Organisations shy away from spending money for day <strong>to</strong> day<br />

management. In other words, incentives are only available <strong>to</strong> spend money on information<br />

management and not on management strategies. The <strong>areas</strong> <strong>of</strong> interest for biodiversity are<br />

predominantly already known. It is far more important <strong>to</strong> manage these <strong>areas</strong> more efficiently (in<br />

terms <strong>of</strong> moni<strong>to</strong>ring, law enforcement and so on). Unfortunately this is rarely the case. The<br />

efficient management <strong>of</strong> protected <strong>areas</strong> <strong>of</strong>ten leads <strong>to</strong> conflicts (e<strong>special</strong>ly due <strong>to</strong> stakeholders).<br />

Furthermore, identification and mapping is far easier <strong>to</strong> perform and <strong>to</strong> market.<br />

• How efficient is the evaluation?<br />

One looks at: how much did the project cost, how many hours <strong>of</strong> work were put in<strong>to</strong> the project<br />

and what did these cost?<br />

The end results <strong>of</strong> our evaluation: we focused on the social aspect <strong>of</strong> the management<br />

effectiveness and partially on the results which were not measured.<br />

Ideally, the results, for example, number <strong>of</strong> species or the goal <strong>of</strong> the approach, should be<br />

coupled <strong>to</strong> the management plan. In contrast, the Natura2000 report gave measurements on<br />

biological aspects, whereas effectiveness <strong>of</strong> protected area management was not considered.<br />

III Approaches & their requirements<br />

• F. Certification: Are market based initiatives efficient for biodiversity conservation? For<br />

example, in comparison <strong>to</strong> government based <strong>approaches</strong>.<br />

Many people act only due <strong>to</strong> initiatives and/ or laws. Strict nature conservation does not work,<br />

e<strong>special</strong>ly if people have <strong>to</strong> suffer or when there is no or little state support for conservation<br />

initiatives (i.e. international donors).<br />

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A4-INTERVIEW PARTNER C<br />

A4-3 Interview Partner C<br />

II<br />

Approaches & their characteristics<br />

Which <strong>approaches</strong> do you know?<br />

There are many landscape <strong>approaches</strong>; KBA; IBAT; HCV; ERBC; AZE; Hotspots and many<br />

more.<br />

Have you worked <strong>with</strong> any <strong>of</strong> these?<br />

Yes, the HCV concept, <strong>with</strong> regard <strong>to</strong> conservation mapping.<br />

Could you list any strengths or weaknesses <strong>of</strong> the HCV concept?<br />

The strengths <strong>of</strong> this concept are: multi-stakeholder; it has support from both conservation and<br />

social NGOs; there is experience <strong>with</strong> it. It was developed in cooperation <strong>with</strong> the private sec<strong>to</strong>r<br />

and there is strong support for the concept from the public sec<strong>to</strong>r.<br />

The weaknesses: It can be a time consuming process and, as <strong>with</strong> all conservation mapping, it is<br />

very difficult <strong>to</strong> get all stakeholders involved in order <strong>to</strong> get their points across, thus, enabling<br />

them <strong>to</strong> be incorporated correctly in<strong>to</strong> the process. For the time being, there is not much<br />

experience in applying the concept <strong>to</strong> commodities, such as soy or sugarcane. Most experience<br />

<strong>with</strong> the concept has been made <strong>with</strong> forests.<br />

• Which criteria would be important for you, if you were <strong>to</strong> compare these <strong>approaches</strong>?<br />

Looking at the list you sent me: Point 1 is obviously very important. We focus on biodiversity<br />

conservation, although in an equitable manner.<br />

I would put an exclamation mark behind the business-management level point. We call this farm<br />

level and I think it is key if we want <strong>to</strong> involve companies and/ or producers. I'm thinking in terms<br />

<strong>of</strong> applying this concept specifically <strong>to</strong> commodity crops, such as soy, sugarcane, etc. Timber is<br />

also important, but my experience is <strong>with</strong> commodity crops. If one can't implement at the<br />

business-management level, then conservation planning will remain a bit vague and abstract.<br />

How is the approach implemented? There will always be a combination <strong>of</strong> bot<strong>to</strong>m-up and <strong>to</strong>pdown.<br />

Regarding the HCV concept, one <strong>of</strong> its strongest aspects is that all stakeholders are<br />

involved. So the decision on which <strong>areas</strong> can and cannot be used comes from <strong>with</strong>in each<br />

country. This is and always will be the only way <strong>to</strong> success. There is also a difference whether<br />

the <strong>to</strong>p-down decisions come from <strong>with</strong>in the country or some place else.<br />

Intended users should definitely also include governments and an international level, for<br />

example, CBD which uses conservation planning. It should go all the way from international <strong>to</strong><br />

farm level and back.<br />

Point 6: Which methods were employed for site choice? All <strong>of</strong> the criteria listed are important.<br />

You should also look at trends. For instance, the site we selected is right in an agricultural frontier<br />

zone. And this you can only determine when you look at the trends. For example, is there a lot <strong>of</strong><br />

deforestation going on? Are there new plantations being established? Etc. That really determines<br />

the exact location <strong>of</strong> the site. We do not look <strong>to</strong> see whether it is a hotspot <strong>of</strong> biodiversity, or<br />

anything similar. All we want <strong>to</strong> see is whether there is conflict in the area. An area <strong>with</strong> conflict is<br />

where you want conservation planning <strong>to</strong> kick in. One can also implement conservation planning<br />

in an area where nothing is happening, but one gets the most "Bang for your Buck" <strong>with</strong>in a<br />

conflict zone. Additionally, one needs <strong>to</strong> find a balance between regional development and<br />

conservation planning.<br />

Obviously financial and human resources play a big role. By human resources one means<br />

institutions that can actually carry out the work, but also institutions that have the right contact<br />

<strong>with</strong> the people in the area. People: meaning local communities, indigenous people, but also<br />

farmers. Institutional framework is a very important aspect <strong>with</strong> NGOs. We can do all the<br />

mapping we want, but you should have someone willing <strong>to</strong> use the map. Otherwise it will be just<br />

another map in a draw. Therefore it is very important for the people who want <strong>to</strong> use the map <strong>to</strong><br />

be involved from the beginning.<br />

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APPENDIX<br />

Scoping assessments are possible. But they will just give you pointers. So, if you really want <strong>to</strong><br />

implement the concept, then it will not be sufficient.<br />

Moni<strong>to</strong>ring and management is part <strong>of</strong> the HCV concept. In the end, any conservation planning<br />

concept is meant <strong>to</strong> conserve biodiversity. In the case <strong>of</strong> HCV, it is biodiversity conservation,<br />

social aspects, etc. The map is only the beginning. You have <strong>to</strong> manage the area and you have<br />

<strong>to</strong> moni<strong>to</strong>r the area.<br />

• How would you best measure efficiency? Would you say the uptake <strong>of</strong> the HCV concept by<br />

governments, institutions and companies is one measure <strong>of</strong> efficiency?<br />

That would be one way. Companies can adopt the concept, but that does not mean anything will<br />

change. It has <strong>to</strong> be applied. For a concept <strong>to</strong> be effective, the identified area, values must<br />

indeed be maintained or enhanced. That is the efficiency you want <strong>to</strong> achieve. Yes, we definitely<br />

lobby <strong>with</strong> governments, institutions or companies <strong>to</strong> get the concept accepted. This being a very<br />

important and big step. It is about trying <strong>to</strong> find one another. But in the field, you need <strong>to</strong> measure<br />

what the real outcome is.<br />

• So you would go back and do field surveys, inven<strong>to</strong>ries, etc?<br />

If you go back in 5 years time and all the values are gone, then you did not achieve anything.<br />

• Do you think 5 years would be a realistic time frame <strong>to</strong> go back and measure efficiency in<br />

this way?<br />

Again it depends on the context <strong>of</strong> your mapping. Are you producing the map <strong>to</strong> feed in<strong>to</strong> a<br />

bigger process or are you mapping at farm-level? At farm level it would be a fairly easy process,<br />

<strong>to</strong> go back in 5 years and see if the <strong>areas</strong>, you previously identified, are still there. But if you feed<br />

them in<strong>to</strong> a larger process, then it becomes more difficult. So you should probably look at a more<br />

general scheme. Conservation is not really a clear-cut solution, there is not really one solution.<br />

III<br />

Approaches & their requirement<br />

• A. Time: You mentioned that the HCV may be a time consuming process. Could you give me<br />

an estimate <strong>of</strong> how long the approach takes <strong>to</strong> implement?<br />

This depends on the country or the region one works in. For instance, is there a lot <strong>of</strong> data readily<br />

available? What is the size <strong>of</strong> the area you are looking at? The project we worked on was 10 mill<br />

hectares large which takes quiet some time. But if you look at a smaller area you can complete<br />

the project faster. All in all, <strong>to</strong> map those 10 million hectares it <strong>to</strong>ok about 3 months. That is not a<br />

lot <strong>of</strong> time. But the thing <strong>with</strong> the HCV concept is that you always start at a higher resolution<br />

(getting data and determining which stakeholders should be involved) and then you zoom in. The<br />

first phase will take some time, but as soon as that has been done, it becomes easier or it takes<br />

less time <strong>to</strong> zoom in on a finer level. First you must start by gathering existing data which,<br />

depending on the region, may be easy. But then you need <strong>to</strong> validate the data by going in<strong>to</strong> the<br />

field.<br />

It also went quickly as there was a lot <strong>of</strong> data already available at the beginning <strong>of</strong> the project. In<br />

addition, the entire area was not mapped in much detail. This would have required far more time.<br />

Field sampling for both environmental and social data was performed, but not for the entire 10<br />

million hectares.<br />

HCV has <strong>to</strong> deal <strong>with</strong> both social and environmental issues. The social issues cannot be<br />

determined from existing data sets, satellite images, etc. One has <strong>to</strong> talk <strong>to</strong> people which will take<br />

some time.<br />

• B. Cost: What was the cost involved?<br />

The costs per hectare, I think are not <strong>to</strong>o high. But <strong>with</strong> every mapping exercise one needs<br />

financing <strong>to</strong> execute it.<br />

• Could you give me a rough estimate <strong>of</strong> how much the 10 million hectare project you worked<br />

on cost?<br />

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A4-INTERVIEW PARTNER C<br />

It cost around 100,000€.<br />

• C. Human Resources: Would you say the HCV concept is human resource intensive?<br />

Yes. One needs knowledge; People trained in GIS, people that understand the socio-economic<br />

context, etc. So human resources are key <strong>to</strong> the end result.<br />

• D. Data requirements: Can non-expert users fulfil the data requirements?<br />

Again it depends on the project area. Some regions or countries have a lot <strong>of</strong> data publicly<br />

available. Some other <strong>areas</strong> do not. HCV combines all <strong>of</strong> the existing <strong>to</strong>ols. So one uses IBAT,<br />

KBA, Hotspots, Ecoregions, etc. Most <strong>of</strong> this data is available. This is the starting point and then<br />

you dig deeper which may be more difficult. But the project team consists <strong>of</strong> local individuals,<br />

know the area, know which data sets are and are not available. So they also know where <strong>to</strong><br />

obtain missing data. The project team is key. If you have the right experts, there is no problem.<br />

• Can data be collected by non-expert users?<br />

Yes, <strong>to</strong> a certain extent. Excellent initiatives around the globe exist where, for example,<br />

community members are given a GPS and map their own conservation <strong>areas</strong> or where they can<br />

just key in specific species they see. They can also indicate the use <strong>of</strong> the area. This is very<br />

valuable information.<br />

• Is this used a lot in implementing the HCV concept?<br />

For The HCV concept, I have not heard <strong>of</strong> it yet. But I have heard it being used in general for<br />

conservation planning. Not for any <strong>of</strong> the methods spoken about so far.<br />

• E. Purpose <strong>of</strong> the approach: How efficient is the concept in conserving biodiversity?<br />

We have only been involved <strong>with</strong> HCV over the past two years. Our first project is just about <strong>to</strong><br />

finish. So we have not been back <strong>to</strong> measure the effectiveness <strong>of</strong> the project. But it is definitely<br />

part <strong>of</strong> the plan. There are several levels <strong>of</strong> effectiveness. Promoting the HCV concept <strong>to</strong><br />

companies and governments<br />

Most people have a vague idea about conservation planning. But if one carries out a project and<br />

shows them what it is about, what it can actually achieve, then one can also change opinions.<br />

Our project achieved just that. It generated support <strong>with</strong> companies and politicians for HCV.<br />

• F. Certification: Do you think market based initiatives are more effective than governance<br />

based <strong>approaches</strong>?<br />

No, it is definitely the combination <strong>of</strong> the two. The distinction is a bit different. There are obviously<br />

protected <strong>areas</strong> at a federal level, state level, local level, etc. that already exist. If one takes<br />

certification schemes which are voluntary, such as RSPO, RTRS, BSI, etc they have criteria<br />

which need <strong>to</strong> be met. For example, the farmer cannot use a certain percentage <strong>of</strong> his land or<br />

must protect certain species, etc and also taking the landscape level in<strong>to</strong> account. That land is<br />

not legally protected, but the way forward would be <strong>to</strong> have this voluntary protection embedded in<br />

legislation. Or maybe, one could link it <strong>to</strong>, for example, <strong>to</strong> economic and ecological zoning, like<br />

what is happening in Brazil. As this will enforce methodology. A voluntary scheme can easily<br />

come up <strong>with</strong> sets <strong>of</strong> criteria, but <strong>with</strong> enforcement in place there will be a big difference, in the<br />

end obtaining more results which is what we are striving for.<br />

IV<br />

Summary, evaluation & outlook<br />

• Are there any current debates going on in your organisation on the HCV concept?<br />

Definitely. Together <strong>with</strong> other NGOs, institutions, we are talking about how <strong>to</strong> integrate different<br />

conservation planning <strong>approaches</strong>. The world is changing fast, nature is being lost. So we need<br />

<strong>to</strong> come up <strong>with</strong> practical solutions. Conservation planning must be in a context which allows for<br />

regional development and balances different stakes. Conserving biodiversity is never an isolated<br />

issue. The three P's: people, planet, pr<strong>of</strong>it.<br />

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APPENDIX<br />

A3-4 Interview Partner D<br />

II<br />

Approaches & their characteristics<br />

• Which <strong>approaches</strong> do you know?<br />

I work extensively <strong>with</strong> the HCV approach which is a flexible framework that incorporates the use<br />

<strong>of</strong> a range <strong>of</strong> other methodologies. So I have had contact <strong>with</strong> some <strong>of</strong> the other methodologies,<br />

including KBA, FSA, REA.<br />

• Could you list any strengths or weaknesses <strong>of</strong> the methods you know?<br />

The HCV framework addresses biodiversity, as well as social aspects which are missing in the<br />

other <strong>approaches</strong>. This allows conservation planning strategies <strong>to</strong> include human needs - if these<br />

are not taken in<strong>to</strong> account, conservation efforts will run in<strong>to</strong> severe difficulties.<br />

It is also a flexible framework which can adopt appropriate existing initiatives and does not have a<br />

specific methodology that practitioners must follow. This may also be a weakness, as the strength<br />

<strong>of</strong> HCV also depends on the strength <strong>of</strong> the initiative it adopts, on the use <strong>of</strong> the precautionary<br />

principle, and on the recognition by users <strong>of</strong> gaps in understanding and knowledge.<br />

KBA approach: HCV1 is very similar or nearly identical <strong>to</strong> the KBA criteria. Both being about<br />

conservation <strong>of</strong> biodiversity.<br />

KBA concept has a lot <strong>of</strong> positive things going for it, including strong support for the initiative by<br />

leading NGOs (eg. IUCN, Birdlife International). It also has a mapping partner who has enabled<br />

local and or national level maps (KBA) for most <strong>of</strong> the globe <strong>to</strong> be produced.<br />

KBA maps are not always accurate. They are supposed <strong>to</strong> be relatively accurate for the local or<br />

provincial level priority <strong>areas</strong>, but in fact many less well described <strong>areas</strong> have insufficient data for<br />

good KBA mapping. Some KBA are based <strong>to</strong>o much on well known taxa e.g. birds. This lack <strong>of</strong><br />

detail causes difficulties for conservation planning. They sometimes do not reflect the truth on the<br />

ground, but rather just represent points on maps, lacking the detail needed for conservation<br />

planning. Thus, for conservation planning strategies in some <strong>areas</strong>, notably many tropical <strong>areas</strong>,<br />

KBA maps are not sufficient. One needs <strong>to</strong> go <strong>to</strong> another level <strong>of</strong> investigation.<br />

REA: This is a set <strong>of</strong> standardized <strong>to</strong>ols and is usually applied at a finer level. This approach can<br />

be adopted as an HCV assessment, but only addresses certain aspects. It does not address the<br />

full range <strong>of</strong> potential conservation values.<br />

Other assessment/prioritisation <strong>to</strong>ols address certain aspects <strong>of</strong> HCV and can be used by HCV,<br />

but they are not necessarily equivalent.<br />

• Which criteria would be important for you, if you were <strong>to</strong> compare these <strong>approaches</strong>?<br />

Looking at the list <strong>of</strong> criteria: Applications have been more concerned <strong>with</strong> species diversity than<br />

genetic diversity. This is not excluded by the methodology. It is rather that genetic diversity tends<br />

<strong>to</strong> have a lower pr<strong>of</strong>ile. We are also now focusing more on ecosystem diversity. A lot <strong>of</strong> the <strong>to</strong>ols<br />

developed specifically for HCV, address forests, their classifications and forest based values.<br />

HCV has also already been applied <strong>to</strong> grasslands and even coastal and marine <strong>areas</strong>. There is no<br />

reason why this flexible approach should not apply <strong>to</strong> other ecosystems. It is simply that some<br />

things are harder <strong>to</strong> measure for grasslands or aquatic systems. For instance, addressing the<br />

issue <strong>of</strong> high biodiversity grasslands is trickier than high biodiversity forests. Due <strong>to</strong> long standing<br />

interference <strong>of</strong> grasslands by humans (eg. burning), the management <strong>of</strong> them may be more<br />

critical. The HCV concept focuses on maintaining biodiversity and social values in a production<br />

landscape. Therefore, it has tended <strong>to</strong> be used at a site-management level, helping land<br />

managers <strong>to</strong> properly plan conservation strategies <strong>with</strong>in their sites. That is predominantly where<br />

most <strong>of</strong> the methodologies have been implemented, at a site-level. There is however another<br />

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A4-INTERVIEW PARTNER D<br />

scale as well: mapping and understanding where values are at landscape level. We have started<br />

<strong>to</strong> work seriously on the landscape level, because one needs <strong>to</strong> make management decisions in<br />

the context <strong>of</strong> the wider landscape in order <strong>to</strong> help link up site-level decisions <strong>to</strong> landscape-level<br />

conservation priorities.<br />

Important criteria <strong>to</strong> compare <strong>approaches</strong> are:<br />

Who is the approach aimed at? What is the intention <strong>of</strong> the approach? Should this be for an<br />

academic audience or is it aimed at practical implementation by business and land use planners?<br />

What is the purpose <strong>of</strong> the approach? Is the aim <strong>of</strong> the approach <strong>to</strong> <strong>identify</strong> gaps in the protected<br />

area reserves <strong>to</strong> broaden the protected <strong>areas</strong> network? Or is the intention <strong>to</strong> address<br />

conservation <strong>with</strong>in production units/ production landscapes?<br />

Does the approach effectively include the range <strong>of</strong> stakeholders?<br />

Is the approach transparent?<br />

Does it have a defensible scientific basis?<br />

Is it proving genuinely effective in conserving biodiversity?<br />

• How would you measure the efficiency <strong>of</strong> <strong>approaches</strong> used <strong>to</strong> <strong>identify</strong> biodiversity relevant<br />

<strong>areas</strong>?<br />

One can get simple indica<strong>to</strong>rs: e.g. the number <strong>of</strong> projects using the approach, but this is an<br />

indica<strong>to</strong>r <strong>of</strong> ‘volume’ not quality. A better set <strong>of</strong> indica<strong>to</strong>rs would include a range <strong>of</strong> demonstrable<br />

conservation gains that have been reported from conservation projects using the specific<br />

approach. So one would do a survey <strong>of</strong> literature, and <strong>of</strong> conservation practitioners, <strong>to</strong> determine<br />

which <strong>approaches</strong> have played a key part in the decision making process. What is actually being<br />

used at what level?<br />

• Would you not take the time required or the cost <strong>of</strong> implementation in<strong>to</strong> account when<br />

measuring efficiency?<br />

Those do have an influence. It is very difficult <strong>to</strong> say which is better <strong>with</strong>out knowing ultimate goal<br />

<strong>of</strong> process. If one <strong>to</strong>ok a comparable REA, using REA and HCV on the same site, it would<br />

probably cost more and take longer <strong>to</strong> do an HCV assessment because one needs <strong>to</strong> consult <strong>with</strong><br />

local stakeholders, thus making it a more comprehensive assessment. There are various aspects<br />

<strong>of</strong> the HCV approach which are not necessarily part <strong>of</strong> a REA. But then the outcomes may well be<br />

different, as the social element is ignored. So perhaps resulting in a less effective <strong>to</strong>ol.<br />

III<br />

Approaches & their requirements<br />

• Time: Could you give me an estimate <strong>of</strong> how long the approach takes <strong>to</strong> implement?<br />

It depends where one are starting from. If one is starting from a blank slate, one has quite a bit <strong>of</strong><br />

work <strong>to</strong> do. Managers need <strong>to</strong> know what HCVs exist in their area i.e. it helps enormously <strong>to</strong> have a<br />

checklist <strong>of</strong> important ecosystems, species and social values which can be checked <strong>with</strong>in their site,<br />

and guidance on what <strong>to</strong> do if such HCVs are present. The ideal way <strong>to</strong> generate such a list is <strong>to</strong><br />

determine at a national or regional level what the HCVs are, based on stakeholder participation. One<br />

way <strong>of</strong> doing this from scratch is <strong>to</strong> convene an expert workshop trying <strong>to</strong> establish what the basic<br />

HCVs are, but a stronger approach is <strong>to</strong> get a number <strong>of</strong> credible organisations <strong>to</strong> agree on national<br />

thresholds. The advantage <strong>of</strong> this is that once one has the framework, then one can operate<br />

anywhere <strong>with</strong>in the country. This is somewhat different <strong>to</strong> some <strong>of</strong> the other <strong>approaches</strong>.<br />

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APPENDIX<br />

If one needs <strong>to</strong> still define national thresholds, a large scale process <strong>with</strong> many stakeholders process<br />

can take up <strong>to</strong> 2 years, as the stakeholder consultation process is time consuming. For certification<br />

purposes and where no national interpretation exists, a manager can still take decisions for their site<br />

based on appropriate expert judgement and consultation, and will need <strong>to</strong> be able <strong>to</strong> defend these<br />

robustly <strong>to</strong> an audi<strong>to</strong>r. The more complex the system or the higher the stress on the system the wider<br />

the stakeholder consultation must be, thus resulting in more time needed <strong>to</strong> define thresholds and<br />

guidance on appropriate management.<br />

After thresholds have been defined, the time it takes <strong>to</strong> implement the HCV concept will depend on<br />

the size <strong>of</strong> the operation, the complexity <strong>of</strong> the area/ site / region: eg For small scale or low impact<br />

operations the whole thing should only take a few days. For management units/ FMU few 100 -<br />

10.000 hectares, depending on the location, field surveys may take 5 -10 days (might want <strong>to</strong> visit<br />

several times a year) and then one still has <strong>to</strong> do a social assessment. So a full assessment could<br />

take between 6 months - 1 year (including e.g. seasonally based visits)<br />

• B. Cost: Could you give me an estimate <strong>of</strong> how much it costs <strong>to</strong> implement the HCV approach?<br />

A site based HCV assessment in developing countries for medium- sized operations could cost<br />

between £7,000 and £10,000 (<strong>with</strong>out defining national thresholds). Costs for small or low impact<br />

operations could be a fraction <strong>of</strong> this.<br />

In developing countries, if national experts are present, the cost can be decreased.<br />

In developed countries, the cost can be asked for this is less, e.g. if social values are less important<br />

or not present.<br />

The minimum cost for medium <strong>to</strong> large forestry operations will be around $5,000 or more.<br />

• C. Human resources: Which type experts are required <strong>to</strong> perform an assessment? Are nonexpert<br />

users able <strong>to</strong> perform an assessment?<br />

National experts know the data very well and international experts have built up knowledge in their<br />

respective field <strong>of</strong> expertise. Low-impact operations do not need national experts (e.g. local<br />

institutions may provide appropriate staff/expertise).<br />

If company has credible, qualified staff, the assessment can be performed internally by non-expert<br />

users, if not the company must hire someone, e<strong>special</strong>ly for high impact operations.<br />

Yes there are circumstances where it is appropriate for a company <strong>to</strong> perform an assessment<br />

internally, but a consultation will always need <strong>to</strong> be performed, in order <strong>to</strong> ask experts for their<br />

opinion and <strong>to</strong> verify the data.<br />

• D. Data requirements: Is the required data easy <strong>to</strong> collect? How do national experts or nonexperts<br />

cope <strong>with</strong> data requirements?<br />

Every case is different.<br />

Because HCV is not an exclusive methodology (data requirements are also not exclusive), one can<br />

bring in national experts who work well <strong>with</strong> the data framework. Normally one can build up lots <strong>of</strong><br />

data through desk based analysis and in brief field visits. What will be necessary is <strong>to</strong> then verify the<br />

data. However some things do require gathering large amounts <strong>of</strong> new data, e<strong>special</strong>ly if proposed<br />

operations are <strong>of</strong> a potentially high impact.<br />

• E. Purpose <strong>of</strong> the approach: How efficient is the concept in conserving biodiversity?<br />

This still needs <strong>to</strong> be measured and analysed in peer reviewed comparative studies.<br />

Proxy data exist on the usefulness <strong>of</strong> certification where a large number <strong>of</strong> FSC companies were<br />

surveyed and the conservation outcome was looked at. What came out <strong>of</strong> the certification process?<br />

In some <strong>areas</strong> one might be able <strong>to</strong> say: x amount <strong>of</strong> land is being sustainably managed for<br />

conservation purpose, and management plans <strong>of</strong> certified operations should list conservation targets<br />

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(e.g. species, habitats etc), indica<strong>to</strong>rs and moni<strong>to</strong>ring processes. This is what can be determined<br />

otherwise the question cannot be answered.<br />

This does need <strong>to</strong> be looked at by building up a matrix, but it is very complex question<br />

• F. Certification: Do you think market based initiatives are more effective than governance<br />

based <strong>approaches</strong>?<br />

Do you mean government based e.g. protected <strong>areas</strong>?<br />

Market based initiatives need <strong>to</strong> be governed. The HCV approach comes embedded <strong>with</strong>in a<br />

certification system which is a voluntary set <strong>of</strong> rules (that companies have agreed <strong>to</strong> abide by). Those<br />

rules can be as/ more effective than legal frameworks. The certification systems <strong>of</strong>ten go beyond<br />

basic legal requirements. From this point market based <strong>approaches</strong> can be a stronger system than<br />

legal compliance.<br />

There may be conflicts <strong>with</strong> the law and a voluntary approach. So I think we need a combination <strong>of</strong><br />

both. We need the support <strong>of</strong> a legal framework for voluntary <strong>approaches</strong> <strong>to</strong> be effective. If legal<br />

framework is not supportive, then voluntary <strong>approaches</strong> become a deal great more difficult. One <strong>of</strong><br />

the big advantages <strong>of</strong> certification processes is that they bring <strong>to</strong>gether a range <strong>of</strong> stakeholders <strong>to</strong><br />

discuss problems that have not been thought <strong>of</strong>/ discussed in a way that many other <strong>approaches</strong><br />

have not done. This is because they are linked <strong>to</strong> economic drivers.<br />

There are some limitations <strong>to</strong> the market-based <strong>approaches</strong>. They have <strong>to</strong> be supported by legal<br />

framework <strong>to</strong> work well. They work much better if land-use planning allows conservation measures<br />

such as voluntary set aside <strong>areas</strong> or reduced <strong>of</strong>f take in some <strong>areas</strong> <strong>of</strong> leased land. In some cases<br />

that does not work well, because government takes away voluntary set asides or taxes companies<br />

based on <strong>areas</strong> rather than volumes <strong>of</strong> production, making it very difficult for companies <strong>to</strong> apply<br />

conservation measures effectively.<br />

IV<br />

Summary, evaluation & outlook<br />

• How meaningful can <strong>approaches</strong> used for the identification <strong>of</strong> biodiversity relevant <strong>areas</strong> be for<br />

biodiversity conservation?<br />

There are two main ways for conserving biodiversity. The first is <strong>to</strong> protect representative samples <strong>of</strong><br />

habitats and their constituents in a network <strong>of</strong> protected <strong>areas</strong>. That is a very important part <strong>of</strong><br />

conservation and is the his<strong>to</strong>rical approach. The second part is conserving biodiversity in nonprotected<br />

<strong>areas</strong> (i.e. mixed use and production <strong>areas</strong>). This is an increasingly important part <strong>of</strong><br />

modern conservation efforts.<br />

A lot <strong>of</strong> the protected <strong>areas</strong> networks were set up quiet a long time ago and are not fully<br />

representative, over-representing <strong>areas</strong> that are unproductive or sparsely inhabited. Therefore they<br />

do not really protect the national range <strong>of</strong> biodiversity. Thus, it is very important <strong>to</strong> conserve<br />

biodiversity in production land.<br />

One can either protect those values by setting up more (i.e. voluntary) protected <strong>areas</strong> or one finds<br />

ways <strong>of</strong> managing production land <strong>to</strong> conserve those values. There is not one way <strong>of</strong> doing it.<br />

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A4-5 Interview Partner E<br />

II<br />

Approaches & their characteristics<br />

Which <strong>approaches</strong> do you know?<br />

There are many. These can be classified in terms <strong>of</strong> their objectives:<br />

"Where <strong>approaches</strong>" - aimed at highlighting <strong>areas</strong> important for biodiversity.<br />

Eg. - large scale prioritising <strong>approaches</strong>: Priority Ecoregions, Biodiversity Hotspots<br />

- large scale prioritising <strong>approaches</strong>: IBA, KBA, AZE<br />

These say nothing about management options. The process <strong>of</strong> delineation does not consider existing<br />

land use, or how <strong>to</strong> work <strong>with</strong> land users <strong>to</strong> deliver the conservation objective.<br />

"How <strong>approaches</strong>" - figure out how best <strong>to</strong> manage <strong>areas</strong> <strong>to</strong> promote or maintain biodiversity.<br />

Eg. frameworks such as the HCV framework: HCV framework is the only approach that explicitly<br />

links the where part <strong>to</strong> the how part. Because the land user is the one carrying out the HCV<br />

assessment, the obligation is on the land user <strong>to</strong> come up <strong>with</strong> the 'how' (<strong>to</strong> maintain or enhance the<br />

conservation value).<br />

Any <strong>of</strong> the above <strong>approaches</strong> are useful in <strong>identify</strong>ing the <strong>importance</strong> <strong>of</strong> the <strong>areas</strong>. The key question<br />

is what one does <strong>with</strong> the information <strong>to</strong> steer management on the ground <strong>to</strong> inform land-use<br />

decisions. That is a different kind <strong>of</strong> question.<br />

• This thesis has been limited <strong>to</strong> the assessment <strong>of</strong> site based <strong>approaches</strong>.<br />

• Could you list any strengths or weaknesses <strong>of</strong> the <strong>approaches</strong> you know? Do you know<br />

anything about the KBA approach?<br />

The KBA approach aims <strong>to</strong> <strong>identify</strong> sites that contain high concentrations <strong>of</strong> threatened or endemic<br />

species. It uses, more or less, the same criteria as IBA, both being species based and both relying<br />

on the presence or potential presence <strong>of</strong> threatened, endangered or migra<strong>to</strong>ry species. The<br />

delineation <strong>of</strong> sites that are going <strong>to</strong> be called KBA is based on existing species data. In the absence<br />

<strong>of</strong> these distribution maps, one must fall back on expert opinion, taxonomists or ecologists who say<br />

that a species may be found in a particular region. For example, in Africa where it has been applied<br />

and where there is very little actual data, such as species distribution and abundance maps, the<br />

designation <strong>of</strong> those sites becomes a bit <strong>of</strong> a guessing game. It is always expert led, but it still<br />

becomes very difficult <strong>to</strong> delineate the actual boundaries for a KBA, because any suitable habitat<br />

could be designated equally.<br />

• So that would be one <strong>of</strong> its major weaknesses?<br />

It is similar for all <strong>of</strong> these <strong>approaches</strong>. One tries <strong>to</strong> use hard scientific data <strong>to</strong> indicate a place on the<br />

map that is thought <strong>to</strong> be important. But very <strong>of</strong>ten the data does not support the precise delineation<br />

<strong>of</strong> an area. So one has a choice, whether <strong>to</strong> try and define an area or whether <strong>to</strong> talk about a more<br />

vague wider area that is <strong>of</strong> general <strong>importance</strong> <strong>with</strong>out trying <strong>to</strong> delineate the boundary. One <strong>of</strong> the<br />

main weaknesses <strong>of</strong> the KBA approach is that it tries <strong>to</strong> delineate the boundary <strong>with</strong>out the data <strong>to</strong><br />

support that.<br />

• And in comparison <strong>to</strong> the HCV framework? Is this a weakness <strong>of</strong> the HCV approach?<br />

Yes it is. In the sense that if one only talks about the delineation stage or if one uses the data <strong>to</strong><br />

<strong>identify</strong> an area, then it is exactly the same problem, because it is based on the same criteria. The<br />

advantage <strong>of</strong> the HCV approach is that one is explicitly trying <strong>to</strong> get <strong>to</strong> a land-management solution,<br />

so it is usually being used by the land-owner or user <strong>to</strong> try and decide where they can and cannot<br />

carry out activities. So it is a different type <strong>of</strong> process: yes one is limited by the data <strong>to</strong> begin <strong>with</strong>. But<br />

one also has <strong>to</strong> go further through this process <strong>to</strong> say what is known about the threats <strong>to</strong> these<br />

species, what is known about population viability in these <strong>areas</strong>, what is known about the extent <strong>of</strong><br />

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plans compromising population viability and how plantation activities can be designed around the<br />

needs <strong>of</strong> specific species. So this boundary delineation context is in the context <strong>of</strong> active land-use.<br />

• Which criteria would be important for you, if you were <strong>to</strong> compare these <strong>approaches</strong>?<br />

If one focuses purely on biodiversity at the species level, it is good <strong>to</strong> integrate elements <strong>of</strong> several<br />

different criteria. It is important <strong>to</strong> recognise the aspect <strong>of</strong> concentrations which both the IBA and<br />

KBA have and which is repeated in the HCV criteria. Where several threatened species are found in<br />

one place. Other important <strong>approaches</strong> explicitly bring in questions <strong>of</strong> population viability, such as<br />

more traditional conservation planning <strong>to</strong>ols talk about how <strong>to</strong> maintain the population viability <strong>of</strong><br />

those species. Both concepts should be dealt <strong>with</strong>, ideally.<br />

Try <strong>to</strong> make an explicit link between those criteria (concentrations <strong>of</strong> threatened specie) and the<br />

more traditional conservation planning <strong>approaches</strong> (representation <strong>of</strong> habitats in protected <strong>areas</strong> and<br />

the irreplaceability <strong>of</strong> habitats and ecosystems). The HCV approach applied on its own does not deal<br />

<strong>with</strong> the concept <strong>of</strong> representativeness. Within the FSC standard there are elements contained in<br />

Principle 6 which requires one <strong>to</strong> establish representative samples <strong>of</strong> different ecosystems. So under<br />

the FSC system both <strong>of</strong> those issues are addressed in different standards. However, if one takes the<br />

HCV criteria out <strong>of</strong> the FSC standard and apply them on their own, then one looses the need <strong>to</strong><br />

establish representative conservation <strong>areas</strong>. So on its own it is not such a robust framework for<br />

conservation management.<br />

• How <strong>of</strong>ten has it been used on its own?<br />

There is some interest in using it as a conservation planning <strong>to</strong>ol. (WWF has tried this in Indonesia<br />

and PNG and IUCN have recently tried it in Brazil.) For example at a government level, HCV <strong>areas</strong><br />

will be identified at the national level and then allow plantation development in everything else. There<br />

is some interest in using this, because the criteria are well-known and are generally supported by<br />

industry. (Which means the results could be more acceptable <strong>to</strong> all parties) because HCV on its own<br />

may give a smaller area than traditional conservation planning <strong>approaches</strong>. Traditional conservation<br />

planning is asking what kind <strong>of</strong> landscape is wanted. It is an aspirational process. The process asks,<br />

how the landscape can be designed <strong>to</strong> maximise biodiversity conservation. The HCV or KBA<br />

<strong>approaches</strong> ask where the small <strong>areas</strong> are which contain concentrations <strong>of</strong> species which are<br />

already threatened. At least these must be saved. For example, if one uses the AZE process as the<br />

basis for a national level conservation plan, one would end up <strong>with</strong> only small <strong>areas</strong> being conserved.<br />

The same case would occur if one used HCV or KBA on its own.<br />

• So do think that is a weakness?<br />

It is a weakness if the approach is used as a conservation <strong>to</strong>ol in the traditional sense. It needs <strong>to</strong> be<br />

widely unders<strong>to</strong>od that the HCV criteria work quite well as a land management <strong>to</strong>ol <strong>with</strong>in the context<br />

<strong>of</strong> private sec<strong>to</strong>r land use. But for national scale conservation planning protected area design a more<br />

traditional conservation planning <strong>approaches</strong> is needed. One needs <strong>to</strong> ask different types <strong>of</strong><br />

questions: what is the best possible landscape design for the maximum amount <strong>of</strong> biodiversity<br />

conservation? Not, what is the smallest area one can possibly set aside <strong>to</strong> maintain the last<br />

threatened species?<br />

A <strong>to</strong>ol like the HCV framework works well in the private sec<strong>to</strong>r <strong>to</strong> compliment existing systematic<br />

conservation planning at a national level.<br />

• How would you best measure efficiency?<br />

Uptake: the same measure used for certification; demand for certification. People are interested in<br />

using that approach.<br />

Actual <strong>areas</strong> that become designated as HCV <strong>areas</strong> in a certified land management scheme.<br />

Although in forestry, there sometimes is not much difference in how the HCV area is being used and<br />

how it would have been used previously. In some cases logging may be compatible <strong>with</strong> maintaining<br />

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HCV. Thus making it harder <strong>to</strong> measure how much <strong>of</strong> the world has been designated as HCV,<br />

because this would not be the same as a protected area.<br />

The most important measure <strong>of</strong> effectiveness is the degree <strong>to</strong> which the criteria and the approach is<br />

unders<strong>to</strong>od by those who pursue certification. This is the major problem at the moment. For example,<br />

in Indonesia one is obliged by law <strong>to</strong> set aside a percentage <strong>of</strong> land for conservation. People have<br />

used the HCV criteria <strong>to</strong> determine where that percentage should be put. That is not an appropriate<br />

use <strong>of</strong> the concept. The concept is basically saying: any <strong>of</strong> this area could be high conservation area<br />

from 0 -100%. One has <strong>to</strong> assess the area against the criteria <strong>to</strong> determine which parts <strong>of</strong> the<br />

concession one can use and which parts not. A true interpretation <strong>of</strong> the criteria would very <strong>of</strong>ten<br />

result in a much larger <strong>areas</strong> being set aside for conservation. But due <strong>to</strong> a lack <strong>of</strong> an understanding<br />

<strong>of</strong> the concept the eventual set aside area is actually <strong>to</strong>o small.<br />

• For it <strong>to</strong> be an effective HCV area?<br />

Yes, <strong>to</strong> be effective in conserving or maintaining the values present.<br />

• This lack <strong>of</strong> understanding is found in non-expert users, forestry opera<strong>to</strong>rs?<br />

Yes, but crucially the problem is also for the certifying agencies. If they do not understand that some<br />

<strong>of</strong> these <strong>areas</strong> would definitely be designated HCV <strong>areas</strong>, if they do not understand how <strong>to</strong> evaluate<br />

the HCV criteria, then the system is not sufficiently strong. One major problem at the moment is the<br />

lack <strong>of</strong> understanding <strong>of</strong> the certification agencies which are holding back the effective use <strong>of</strong> the<br />

HCV concept and delivering good conservation.<br />

• How would you deal <strong>with</strong> this problem?<br />

It has <strong>to</strong> be through training. In an ideal world the certification system (FSC or RSPO) would be able<br />

<strong>to</strong> support better training for the certification bodies and also the accreditation system which they use<br />

<strong>to</strong> check on the competence <strong>of</strong> the audi<strong>to</strong>rs would be stronger on that issue. They would demand<br />

higher levels <strong>of</strong> competence and skills form the audi<strong>to</strong>rs.<br />

III<br />

Approaches & their requirements<br />

• A. Time: As an estimate, how much time is required for implementation?<br />

It depends on the context one is operating in. For example in the concession in Central Africa, the<br />

HCV identification process will be part <strong>of</strong> the detailed management planning process which is<br />

required by governments prior <strong>to</strong> logging. Normally this takes a couple <strong>of</strong> years (up <strong>to</strong> 2 years) <strong>to</strong><br />

survey the forest in detail and <strong>to</strong> prepare the management plan.<br />

However, it is also possible <strong>to</strong> complete an HCV report <strong>with</strong>in a couple <strong>of</strong> weeks in the field. As long<br />

as the forest data already exists, thus using the inven<strong>to</strong>ry data one could write an HCV management<br />

plan fairly quickly (a couple <strong>of</strong> weeks) by carrying out rapid field work, consulting <strong>with</strong> experts and<br />

regional maps. It is possible <strong>to</strong> do an assessment in this way as well.<br />

Many companies also first write the management plan and then decide <strong>to</strong> go the route <strong>of</strong> certification.<br />

So they the hire a consultant or expert <strong>to</strong> do another assessment <strong>of</strong> the forest for a specific HCV plan<br />

which is then completed in 2-4 weeks on sites and weeks <strong>to</strong> months compiling data and writing the<br />

report.<br />

Reasonable time frame: 3 months<br />

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• B. Cost: How much does the HCV process cost?<br />

It depends on how much field work is necessary. For example in Central Africa where a management<br />

plan is already compiled and there is no need for extensive field work, the cost can be reduced <strong>to</strong><br />

US$10 000 - $15 0000 (similar <strong>to</strong> an EIA).<br />

If a detailed assessment is required then the cost can rise <strong>to</strong> US$30 000 - $40 000 where more time<br />

in the field is needed <strong>with</strong> more experts required <strong>to</strong> be involved in the assessment and more detailed<br />

local consultation is required.<br />

• D. Data requirements: Can non-expert users fulfil the data requirements?<br />

Usually yes, because the people implementing the results will always be non-experts (forest<br />

managers, palm oil managers), so the results will always have <strong>to</strong> be formulated in a way that nonexperts<br />

can understand them. However, expert input is always going <strong>to</strong> be necessary, so the<br />

assessment can be led by a non-expert, but they would need <strong>to</strong> involve an expert ecologist, socioeconomist,<br />

botanist in order <strong>to</strong> effectively evaluate the biodiversity and social aspects <strong>of</strong> the area <strong>to</strong><br />

come up <strong>with</strong> appropriate management measures.<br />

• E. Purpose <strong>of</strong> the approach: How efficient is the concept in conserving biodiversity?<br />

There are no studies that looked at the efficiency <strong>of</strong> the approach. There are no studies that have<br />

looked at the results <strong>of</strong> the approach. The eventual result <strong>of</strong> any assessment will be entirely<br />

dependant on the situation. For example in a Central African forestry concession: most <strong>of</strong> the area is<br />

still available for logging. Whereas in a palm oil context, the <strong>areas</strong> set aside could be quite big. In<br />

forestry the actual set aside <strong>areas</strong> might only be 5-10% <strong>of</strong> the <strong>to</strong>tal forest area. Whereas in a<br />

potential palm oil plantation, HCV is unlikely <strong>to</strong> be conserved in such a small area set aside.<br />

How long has the HCV approach been implemented?<br />

Since about 2002, so there is not a great deal <strong>of</strong> experience <strong>with</strong> implementing the approach and<br />

there are no studies that have looked at the effectiveness, yet.<br />

• Is the HCV network looking in <strong>to</strong> this at all?<br />

Yes, they are thinking about ways <strong>to</strong> measure and how <strong>to</strong> compile data <strong>to</strong> look at effectiveness. But<br />

one would need <strong>to</strong> look at different contexts, such as plantation forestry in South Africa, palm oil in<br />

South East Asia and tropical forest logging in Central Africa and Brazil and then compare the way the<br />

approach is used in each case.<br />

• F. Certification: Do you think market based initiatives are more effective than governance<br />

based <strong>approaches</strong>?<br />

It really depends on the perspective from where one is coming. KBA approach has been used very<br />

<strong>of</strong>ten <strong>to</strong> try and stimulate the formation <strong>of</strong> a protected area. A lot <strong>of</strong> traditional conservation planning<br />

is done in that way: <strong>to</strong> <strong>identify</strong> priority sites for the creation <strong>of</strong> new protected <strong>areas</strong>. That is one type<br />

<strong>of</strong> question: What is the optimal location and size for a protected area network <strong>to</strong> maximise<br />

biodiversity conservation?<br />

Whereas the HCV approach is usually applied in the context <strong>of</strong> productive landscape where the landuse<br />

objective is commercial. So one might get some more conservation <strong>areas</strong> <strong>with</strong>in the commercial<br />

land, but will not result in the creation <strong>of</strong> new government protected <strong>areas</strong>.<br />

• How do market based initiatives compare <strong>to</strong> governance <strong>approaches</strong>?<br />

They are quite complimentary. It is not really a question <strong>of</strong> which is better. The reach and the<br />

influence <strong>of</strong> a market based approach is potentially bigger, but it is limited by the willingness <strong>of</strong> the<br />

market <strong>to</strong> promote that type <strong>of</strong> approach and the willingness <strong>of</strong> the private sec<strong>to</strong>r <strong>to</strong> adopt that sort <strong>of</strong><br />

approach. It always comes back <strong>to</strong> how much influence you have or how much leverage you have <strong>of</strong><br />

the private sec<strong>to</strong>r land owner <strong>to</strong> deliver your set <strong>of</strong> objectives. It is potentially a very powerful <strong>to</strong>ol for<br />

this voluntary initiative.<br />

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• Is there demand for certification?<br />

Certainly there is, although it has taken many years <strong>to</strong> establish. In the case <strong>of</strong> palm oil the growth in<br />

interest for certified projects was much quicker. There the issue was more obvious. It is easier <strong>to</strong><br />

market. With forestry it is less clear cut, a reason why it was slower <strong>to</strong> grow. Certified products are<br />

helping <strong>to</strong> drive the uptake <strong>of</strong> something like HCV.<br />

This demand is difficult <strong>to</strong> quantify. Certified forestry now accounts for about ¼ <strong>of</strong> the world's<br />

industrial timber trade. That is quite a substantial portion, predominantly driven by Europe and the<br />

United States.<br />

IV<br />

Summary, evaluation & outlook<br />

• How meaningful can <strong>approaches</strong> used for identification <strong>of</strong> biodiversity relevant <strong>areas</strong> be for<br />

biodiversity conservation?<br />

It can be meaningful particularly the market based <strong>approaches</strong> have done an enormous amount <strong>to</strong><br />

raise awareness amongst land users and producers that there are benefits from engaging <strong>with</strong><br />

conservation. However, making those <strong>approaches</strong> really meaningful, it may be necessary <strong>to</strong> link<br />

them <strong>to</strong> some kind <strong>of</strong> payment mechanism, such as carbon or biodiversity credits where there would<br />

also be a direct financial incentive for the companies <strong>to</strong> go done that road.<br />

Having an approach sitting very firmly in certification schemes, and thus, targeting productive users<br />

<strong>of</strong> land, has been very effective in doing conservation.<br />

• So you think efforts should rather not concentrate on existing biodiversity initiatives, but<br />

instead <strong>of</strong> <strong>identify</strong> new <strong>areas</strong>?<br />

All <strong>of</strong> the research that goes on, on protected area design is extremely important. But there is not<br />

enough effort placed on how you change land management practices in <strong>areas</strong> outside <strong>of</strong> protected<br />

area. I don't think we are going <strong>to</strong> achieve sufficient conservation efforts through the establishment <strong>of</strong><br />

protected <strong>areas</strong>. Too much <strong>of</strong> the research on protected <strong>areas</strong> focuses on the 'where' and not<br />

enough is done on 'how' the protected area should be managed and 'how' the land around the<br />

protected area should be managed <strong>to</strong> maintain the biodiversity or the conservation value.<br />

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A4-INTERVIEW PARTNER F<br />

A4-6 Interview Partner F<br />

II<br />

Approaches & their characteristics<br />

• Which <strong>approaches</strong> used <strong>to</strong> <strong>identify</strong> <strong>areas</strong> relevant <strong>to</strong> biodiversity conservation do you know?<br />

The conventional forest management plan and the HCV <strong>to</strong>olkit made by Pr<strong>of</strong>orest in Libreville.<br />

• Can you describe any strengths or weaknesses for these <strong>approaches</strong>?<br />

Conventional forest management plan: good identification <strong>of</strong> study area. However, if the company<br />

does not want certification (e<strong>special</strong>ly FSC), then it might only look at timber harvesting <strong>with</strong> almost<br />

no ecological aspect.<br />

HCV <strong>to</strong>olkit: The titles for each HCV are good, but the guidelines <strong>to</strong> <strong>identify</strong> them are very vague.<br />

This is a weakness (if one is not serious about the work, then one just does the minimum) and a<br />

strength (if one is serious, then one has more freedom <strong>to</strong> develop one's own technique).<br />

• Are there other <strong>approaches</strong> that, in your opinion, may be important for <strong>identify</strong>ing <strong>areas</strong> <strong>of</strong> high<br />

biodiversity?<br />

Certified companies are obliged <strong>to</strong> make both reports and many points are very redundant. The laws<br />

cannot easily be changed, so it might be interesting <strong>to</strong> develop HCV <strong>to</strong>olkits on a real scientific basis.<br />

One could keep the six points, but develop methods <strong>to</strong> <strong>identify</strong> them.<br />

• Can you think <strong>of</strong> any other criteria which may be important for comparing methods used <strong>to</strong><br />

<strong>identify</strong> biodiversity relevant <strong>areas</strong>?<br />

A conventional forest management plan and the HCV assessment are complimentary, thus, they do<br />

not need <strong>to</strong> be compared. It would be good <strong>to</strong> produce a single report integrating the HCV<br />

assessment. This would need for the laws <strong>to</strong> be changed in Central Africa.<br />

III<br />

Approaches & their requirements<br />

• A. Time: How much time is required for implementing the <strong>approaches</strong>?<br />

When working in timber logging, a management plan based on socio-economic surveys (from 2 - 6<br />

months depending on the area) and management inven<strong>to</strong>ries (botanic, animal, social) on about 1%<br />

<strong>of</strong> the concession (2-3 years <strong>of</strong> work <strong>with</strong> 1 - 2 teams) has already been produced. Most <strong>of</strong> the<br />

conservation measures have already been made in the management plan (field work + writing = 2-3<br />

years). So the HCV assessment itself takes only 2 weeks.<br />

When working in other <strong>areas</strong> (eg. palm oil), the required time will depend on inven<strong>to</strong>ries in the field.<br />

Although these inven<strong>to</strong>ries are not requested by the <strong>to</strong>olkit.<br />

• Should efforts rather concentrate on existing biodiversity conservation initiates?<br />

I believe, one should start <strong>with</strong> what is already known (biodiversity conservation initiates), however a<br />

real systematic inven<strong>to</strong>ry should also be completed.<br />

• Can the required time be reduced <strong>with</strong>out compromising the efficiency? Do you have any ideas<br />

on this?<br />

No<br />

• B. Cost: How much does the implementation <strong>of</strong> the <strong>approaches</strong> cost?<br />

Not easy <strong>to</strong> say: management plan vs HCV. It depends on what has already been done. For<br />

instance, have inven<strong>to</strong>ries and analyses been performed by the logging company or must<br />

consultants still complete these.<br />

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• C. Human Resources: Which human resources are required for implementing the <strong>approaches</strong>?<br />

Again: Not easy <strong>to</strong> say: management plan vs HCV. The same reasons as above (see cost).<br />

One needs at least one international expert for the report, one team for inven<strong>to</strong>ries and another team<br />

for the socio-economic assessment.<br />

• D. Data requirements: How is data collection designed (easy/ complex)?<br />

The data collected in the field remains the same. This is fixed by legislation, although elements can<br />

always be added if needed. The use <strong>of</strong> existing data (bibliography and satellite images if available)<br />

depends on the assessment team. Thus, for the team it is not really complex.<br />

• Can the required data easily be used by non-<strong>special</strong>ist users?<br />

Not really<br />

• E. Purpose <strong>of</strong> the approach: How efficient is the conservation <strong>of</strong> biodiversity?<br />

This is impossible <strong>to</strong> answer: the idea is <strong>to</strong> <strong>identify</strong> everything that might be sensitive and <strong>to</strong> propose<br />

measures that will keep all the different species and forest types. For your information, on average, a<br />

logging company (in Central Africa) will only cut one tree per hectare and per 25 years. So the risks<br />

<strong>of</strong> species extinction in that particular area are low.<br />

We work on huge <strong>areas</strong> (generally more than 200,000 ha for logging concessions), so the first thing<br />

is <strong>to</strong> <strong>identify</strong> really sensitive <strong>areas</strong> (swamps, mountainous forest, high slopes) where no logging will<br />

occur. It is rare that we conserve less than 5% <strong>of</strong> the concession. Next we determine the measures<br />

specific for every species (low regeneration commercial tree species, endemic species, hunting<br />

rules) which are fixed for the entire rotation.<br />

Every forest type is different, every situation is different. For example, if one develops a oil plantation<br />

in a degraded forest, one would only protect the swamps and the buffer <strong>areas</strong> <strong>of</strong> national parks,<br />

rivers, streams, etc<br />

• F. Certification: How do market based initiatives fare in biodiversity conservation?<br />

• Are market based initiatives efficient in biodiversity conservation?<br />

Yes<br />

• How do they compare <strong>to</strong> classical protected <strong>areas</strong>?<br />

In our context, private companies <strong>of</strong>ten have more means and motivation in conservation than<br />

government. More and more <strong>of</strong>ten, timber logging concessions are considered as links <strong>to</strong> the<br />

national parks.<br />

<br />

IV Summary, evaluation & outlook<br />

• How meaningful can <strong>approaches</strong> used <strong>to</strong> <strong>identify</strong> valuable biodiversity regions be for<br />

biodiversity conservation?<br />

It is important <strong>to</strong> <strong>identify</strong> all the HCV. For biodiversity in itself and <strong>to</strong> have a better control over what<br />

the companies are doing. So one has a better idea <strong>of</strong> what is threatened by logging, e<strong>special</strong>ly<br />

regarding a species based management.<br />

• Should efforts rather concentrate on existing biodiversity conservation initiatives?<br />

The efforts should go <strong>to</strong> every sec<strong>to</strong>r. National parks, concessions, etc. It is really important <strong>to</strong><br />

consider logging concessions as links because they cover almost all the central African terri<strong>to</strong>ry that<br />

is not protected.<br />

• Are there any current debates going on in your organisation on this <strong>to</strong>pic?<br />

Every new HCV assessment is a new debate. The context is always different.<br />

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A4-INTERVIEW PARTNER G<br />

A4-7 Interview Partner G<br />

II<br />

Approaches & their characteristics<br />

Which <strong>approaches</strong> do you know?<br />

I have been most actively involved <strong>with</strong> HCV, ERBC <strong>approaches</strong>, a little bit on KBA, not directly<br />

involved in focal species or REAs.<br />

Last <strong>of</strong> the Wild <strong>areas</strong> are identified by looking for the <strong>areas</strong> least impacted by human development.<br />

It’s a GIS based system using data on roads, rail, settlements etc, and then looking for the <strong>areas</strong> that<br />

have the lowest impact from them (Sanderson et al. 2002. Bioscience Vol. 52 No. 10, P891).<br />

But I have also helped <strong>with</strong> species specific priority-setting exercises, range-wide stuff.<br />

Could you list any strengths and weaknesses <strong>of</strong> <strong>approaches</strong> you know?<br />

They all address slightly different aspects. A broad issue is that there are so many different ways <strong>of</strong><br />

looking at this. Every NGO wants <strong>to</strong> do it in their own way, so that they have something they can sell<br />

<strong>to</strong> donors or market as being there approach.<br />

ERBC: The biggest flaw, I have felt, for ERBC was the definition <strong>of</strong> an ecoregion which is extremely<br />

problematic. There were difficulties in finding a coherent and replicable definition <strong>of</strong> an ecoregion.<br />

Thus, making it very difficult <strong>to</strong> set priorities <strong>with</strong>in an ecoregion.<br />

KBA: I think is an interesting process. The way it has been explained <strong>to</strong> me - The problem is that it<br />

takes an area defined by existing land use boundaries and then looks <strong>to</strong> see what is in the area. It is<br />

not necessarily highlighting anything different, but one looks at a national park and then looks at what<br />

is in it. Rather than taking an objective view <strong>of</strong> a whole country or landscape and then drawing<br />

boundaries based on the values. It is looking at pre-existing value in pre-existing boundaries and<br />

seeing what exist <strong>with</strong>in those. This seems <strong>to</strong> weaken the concept for me. I think it would be useful if<br />

one looked at a blank slate and said: where these values are found, where these attributes <strong>of</strong> KBA<br />

are held and then drew boundaries.<br />

• Are biodiversity values likely <strong>to</strong> be found in <strong>areas</strong> where major land use changes have<br />

occurred?<br />

Yes, even in South East Asia where huge development has occurred, vast <strong>areas</strong> outside <strong>of</strong> protected<br />

<strong>areas</strong> exist. These values are either dropped from the KBA system. Alternatively, if one simply looks<br />

at biodiversity, one has <strong>to</strong> try and agree on boundaries. But in a country like Cambodia there are no<br />

obvious, easy units <strong>to</strong> divide the country up in<strong>to</strong>. This however, does not mean that no <strong>areas</strong> exist<br />

that absolutely qualify as KBA. In fact just the contrary is true. The problem is that these <strong>areas</strong> do not<br />

qualify, as they do not have a divide around them. It is the wrong way round.<br />

Another problem is that the objectives or thresholds are set at a global level and can not be changed<br />

<strong>to</strong> make them more relevant for Cambodia or South East Asia where at the moment every large<br />

mammal is on the Red List. Therefore a few individuals <strong>of</strong> some red listed, but <strong>to</strong>lerant species (eg<br />

samba, sunbear) <strong>to</strong> be present and it <strong>of</strong>ficially counts as KBA. Those species could be present in any<br />

forest block in South East Asia and therefore <strong>to</strong> follow the thresholds exactly, as is required, any<br />

significant forest block is KBA. Thus, following the criteria, priorities will not be identified as<br />

everything is KBA. This problem is the same for HCV except the other way round.<br />

The one I have worked <strong>with</strong> most closely is HCV. I view HCV as slightly different <strong>to</strong> the other<br />

<strong>approaches</strong>. I find it interesting <strong>to</strong> get a sense <strong>of</strong> how people from the outside view HCV, placing it in<br />

the same category as the other <strong>approaches</strong>.<br />

The most important, in my opinion, about HCV is not only defining <strong>areas</strong> (not drawing boundaries<br />

around HCV <strong>areas</strong>), but rather what the values are and how they are managed. It is a much more<br />

management orientated process, producing management plans or recommendations for the<br />

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identified values. This makes it a slightly stronger system and a reason why it is far more popular<br />

<strong>with</strong> the private sec<strong>to</strong>r than the other <strong>approaches</strong>. It helps managers find ways <strong>to</strong> manage their land<br />

<strong>with</strong>out affecting the biodiversity or environmental and social values. Identifying <strong>areas</strong> and drawing a<br />

circle on a map is just the beginning <strong>of</strong> the process.<br />

• Which criteria would you use <strong>to</strong> compare the various <strong>approaches</strong>?<br />

In the end, it is easiest <strong>to</strong> look at species. But it has <strong>to</strong> be done sensibly and not just <strong>to</strong> <strong>identify</strong> the<br />

<strong>areas</strong> <strong>with</strong> the largest number <strong>of</strong> species. Proxies such as forest cover and forest condition can be<br />

used in large <strong>areas</strong> <strong>with</strong> little <strong>to</strong> no available data. This can be extremely useful and valuable.<br />

In a lot <strong>of</strong> cases, it is a case <strong>of</strong> what can be practically done, rather than what is scientifically best. It<br />

would be great <strong>to</strong> do huge extensive inven<strong>to</strong>ries <strong>of</strong> everything living in an area. It is more practical <strong>to</strong><br />

first <strong>identify</strong> <strong>areas</strong> that appear <strong>to</strong> be relatively undisturbed and then from there start <strong>identify</strong>ing target<br />

species. During the whole process considering threat: which is the area <strong>with</strong> a large number <strong>of</strong><br />

species and are those species under threat. Otherwise incredibly important species will be<br />

overlooked.<br />

Target species, habitat quality, etc.<br />

Whether or not these places get some form <strong>of</strong> formal protection. However, more <strong>of</strong>ten than not this<br />

tends <strong>to</strong> a decision <strong>of</strong> politics.<br />

• How would you best measure efficiency?<br />

Cost is definitely an important issue and man power needed <strong>to</strong> do an assessment. The ecoregional<br />

projects <strong>to</strong>ok and enormous amount <strong>of</strong> time and an enormous amount <strong>of</strong> money <strong>to</strong> complete the<br />

identification <strong>of</strong> priority <strong>areas</strong>. Again this is only the beginning <strong>of</strong> the process. A form <strong>of</strong> protection<br />

needs <strong>to</strong> be implemented.<br />

As for trying <strong>to</strong> think: are any <strong>of</strong> these processes quicker and cheaper than others? The HCV process<br />

can be quick and dirty or can be very laborious and intensive. It depends a great deal on the people<br />

performing the assessment. I think this can be the case for all <strong>of</strong> them. It depends on the available<br />

time and resources. However, there are always ways <strong>of</strong> implementing any process faster and or<br />

cheaper. It boils down <strong>to</strong> the quality <strong>of</strong> outcome required.<br />

• That would then reduce the efficiency or the quality <strong>of</strong> the outcome?<br />

Yes, it would. They are all fairly intensive processes. I don't think any process is any more or less<br />

efficient or better than the others.<br />

III<br />

Approaches & their requirements<br />

• A. Time: How much time is required for the implementation?<br />

The HCV work covers a lot more than the other <strong>approaches</strong>. This needs <strong>to</strong> be considered when<br />

comparing time and cost. The full HCV process requires a soil scientist, an ecologist, a hydrologist,<br />

an anthropologist and a social scientist. Thus, they take much longer and are more expensive, but<br />

one ends up <strong>with</strong> a more comprehensive output.<br />

• So you would say HCV takes longer than ERBC?<br />

I would not be able <strong>to</strong> say. It probably depends on the sort <strong>of</strong> scale looked at. ERBC looks at a<br />

landscape or even greater than landscape scale which will take a very long time, whereas an HCV<br />

assessment might only be a couple <strong>of</strong> thousand hectares <strong>of</strong> forest. The resolution <strong>of</strong> information is<br />

also very different. They are two very different things. ERBC can be very time-consuming. An<br />

ecoregional plan takes about two years <strong>to</strong> complete.<br />

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A4-INTERVIEW PARTNER G<br />

• C. Human Resources: How many people are required <strong>to</strong> perform the <strong>approaches</strong>?<br />

One does not necessarily need so many people for ERBC. Also HCV work can be done <strong>with</strong> 3-4<br />

people: 1 soil scientist, 1 biologist and 1 social scientist.<br />

• The less people one needs in a team, the more information is already available?<br />

Not necessarily, the amount <strong>of</strong> people in a team is simply a reflection <strong>of</strong> the resources available. How<br />

much one has <strong>to</strong> spend on a project?<br />

• Would you say: <strong>to</strong> decrease the amount <strong>of</strong> people, you would decrease the quality <strong>of</strong> the<br />

assessment?<br />

It depends on who the people are and how much time and resources they have been given. It<br />

depends on how familiar they are <strong>with</strong> the framework they are following. Again, the quality <strong>of</strong> the<br />

output depends on the quality <strong>of</strong> the people.<br />

• But have all <strong>of</strong> the people you worked <strong>with</strong> been international experts? Or have you also<br />

worked <strong>with</strong> national experts?<br />

It is usually a combination <strong>of</strong> both. Particularly <strong>with</strong> the HCV concept looking at the social sciences<br />

and the biological aspects, as much as possible I always prefer <strong>to</strong> work <strong>with</strong> local people.<br />

One should try and work <strong>to</strong>gether <strong>with</strong> land managers so they can understand the process <strong>with</strong> the<br />

HCV concept or even the KBA approach. But the process is always led by an international expert.<br />

• And non-experts can they also be integrated in<strong>to</strong> the team?<br />

There should always be a consultation process where the results are discussed <strong>with</strong> local<br />

stakeholders. Other than that there is no situation were non-expert users are part <strong>of</strong> the process.<br />

• E. Purpose <strong>of</strong> the approach: How efficient is biodiversity conservation? Have you ever gone<br />

back and tried <strong>to</strong> determine the amount <strong>of</strong> species that have been conserved?<br />

No, the number <strong>of</strong> species is not really the measure <strong>of</strong> interest. A more appropriate measure would<br />

be: what were the goals <strong>of</strong> the area? If one simply looks at a list <strong>of</strong> species, one would go <strong>to</strong> a forest<br />

in Borneo and target a lowland dipterocarp forest (if the aim is <strong>to</strong> maximise a list <strong>of</strong> species). Thus,<br />

ignoring peat swamp and heath forest, as these are species poor. The only true measure <strong>of</strong> success<br />

<strong>to</strong> see whether a block <strong>of</strong> forest is still present. And <strong>to</strong> see whether any management changes have<br />

been implemented (i.e. has management acted on the made recommendations<br />

Those are the appropriate measures <strong>to</strong> look at. I have had relatively more success <strong>with</strong> the HCV<br />

concept (in terms <strong>of</strong>: has there been a change on the ground) than <strong>with</strong> anything else. This is<br />

because it is far more management driven.<br />

One does not just say which <strong>areas</strong> are important and must, therefore, be set aside as a strict<br />

conservation area. But one rather says which <strong>areas</strong> are important and this is how you can manage<br />

them.<br />

If my understanding <strong>of</strong> the KBA is correct, that point is undermined. One already has protected <strong>areas</strong><br />

and then one determines whether these are important.<br />

• F. Certification: How do you think market based initiatives fare in biodiversity conservation?<br />

Personally, I am a big supporter <strong>of</strong> them. I know this is an area where people have very strong<br />

opinions and in my opinion, they are very valuable.<br />

These days many individuals or organisations prefer <strong>to</strong> work <strong>with</strong> logging companies than <strong>with</strong> the<br />

government, as logging companies sometimes do a better job in protecting the forest than<br />

governments. These companies have the financial resources and the desire <strong>to</strong> protect, as they are<br />

protecting their own resources.<br />

The critical fac<strong>to</strong>r <strong>of</strong> working <strong>with</strong> industry is that it needs <strong>to</strong> part <strong>of</strong> a broader integrated management<br />

plan. Sustainably managed <strong>areas</strong> have <strong>to</strong> complement existing protected area systems. There<br />

should be sustainably managed <strong>areas</strong> and adjacent <strong>to</strong> this, large regions <strong>of</strong> protected <strong>areas</strong>.<br />

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• Do you think market based initiatives are more effective than governance based <strong>approaches</strong>?<br />

In an ideal world, if the protected <strong>areas</strong> were managed well, they would be a much better way for<br />

protecting biodiversity. Not <strong>to</strong> say that the managed <strong>areas</strong> do not have biodiversity values. Protected<br />

<strong>areas</strong> are better <strong>of</strong>f surrounded by well-managed <strong>areas</strong>, instead <strong>of</strong> heavily disturbed forest. And<br />

managed <strong>areas</strong> are certainly going <strong>to</strong> work much more efficiently if they are adjacent <strong>to</strong> protected<br />

<strong>areas</strong> where there are sources <strong>of</strong> seed, animals and services.<br />

In reality, in Indonesia in the late 90's certified logging concessions were a far more efficient way <strong>of</strong><br />

conserving biodiversity than protected <strong>areas</strong>, because the protected area system had failed. That<br />

situation is now changing, protected <strong>areas</strong> are getting stronger again. This is one <strong>of</strong> the reasons why<br />

conservation organisations are now working very closely <strong>with</strong> logging concessions. This is leading <strong>to</strong><br />

the idea <strong>of</strong> working <strong>with</strong> other industries, like mining.<br />

IV<br />

Summary, evaluation & outlook<br />

• How meaningful can <strong>approaches</strong> used for identification <strong>of</strong> biodiversity relevant <strong>areas</strong> be for<br />

biodiversity conservation?<br />

The HCV concept uses a lot <strong>of</strong> information obtained by the other <strong>approaches</strong>. HCV <strong>areas</strong> are<br />

identified by looking at KBA, results <strong>of</strong> REAs, etc. so all <strong>of</strong> these are very useful. The <strong>approaches</strong> are<br />

incredibly useful in fund raising, raising awareness for priority <strong>areas</strong>, internal prioritization exercises.<br />

Do they directly affect conservation success? Indirectly yes, as they can be used <strong>to</strong> raise money,<br />

raise awareness and possibly affect political decisions as well. So they are needed, because<br />

otherwise we wouldn't know where <strong>to</strong> go. But the <strong>importance</strong> <strong>of</strong> the process can be overstated.<br />

• So then what does directly affect the success <strong>of</strong> conservation?<br />

The qualities and abilities <strong>of</strong> people. The degree <strong>of</strong> political support and the will <strong>of</strong> the countries,<br />

provinces, states; the politicians involved. Conservation boils down <strong>to</strong> politics; in terms <strong>of</strong> how good<br />

people are at actually doing things and then the government authorities and their willingness <strong>to</strong><br />

actually do what is needed. Occasionally those policies are influenced by outside institutions, but not<br />

in many situations. Actually in many situations government departments have reacted negatively <strong>to</strong><br />

an outsider. Not <strong>to</strong> say that one should not do it, but one has <strong>to</strong> be careful how it is set up.<br />

• So in your experience governance protected <strong>areas</strong> have been a success?<br />

I would not say that. There are still many situations where the paper parks statement is very true.<br />

Where they have failed is because <strong>of</strong> the failure <strong>of</strong> government institutions and the organisations<br />

working on the ground, it is not because <strong>of</strong> the failure <strong>of</strong> <strong>identify</strong>ing the <strong>importance</strong>.<br />

• Do you have any further points you would like <strong>to</strong> add?<br />

Like I said earlier on: I personally have a slightly different view <strong>of</strong> the HCV concept compared <strong>to</strong> the<br />

other <strong>approaches</strong>. People working <strong>with</strong> the HCV concept think that the main purpose <strong>of</strong> working <strong>with</strong><br />

it is <strong>identify</strong>ing <strong>areas</strong>, working <strong>with</strong> a polygon. I do not see that as having any value at all. What is<br />

much more important <strong>to</strong> us is: these are the values, this is where they are and this is what we can do<br />

<strong>to</strong> actually maintain those values. It is a management led process rather than a circle on a map which<br />

makes it a very powerful <strong>to</strong>ol.<br />

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A4-INTERVIEW PARTNER H<br />

A4-8 Interview Partner H<br />

II<br />

Approaches & their characteristics<br />

Which <strong>approaches</strong> for <strong>identify</strong>ing biodiversity relevant <strong>areas</strong> do you know?<br />

I am familiar <strong>with</strong> several <strong>of</strong> the mentioned <strong>approaches</strong>, but not all <strong>of</strong> them. I am familiar <strong>with</strong> KBA<br />

and ERBC. I have been involved in several ecoregional processes in South America in the late 90s.<br />

The HCV concept is a very important concept that we are now dealing <strong>with</strong>. Industry standards seem<br />

<strong>to</strong> be very fond <strong>of</strong> the HCV concept. I am also very familiar <strong>with</strong> the REA.<br />

Could you list any strengths and weaknesses <strong>of</strong> the HCV concept?<br />

All <strong>of</strong> them have strengths and weaknesses, because nature is complex and these are instruments<br />

designed by humans <strong>to</strong> simplify what is inherently complex, in order <strong>to</strong> facilitate decision-making. So<br />

all <strong>of</strong> them are going <strong>to</strong> have weaknesses, but they also all have benefits. But the benefits do not<br />

necessarily all go in the same direction. Benefits will differ, for example the criteria adopted by the<br />

<strong>approaches</strong>, such as species based vs habitat based. There is no one <strong>to</strong>ol that solves everybody's<br />

problems. So the <strong>approaches</strong> are considered <strong>to</strong> be <strong>to</strong>ols that can be used <strong>to</strong>gether or independently,<br />

depending on the purpose.<br />

ERBC I have very much been involved in the use <strong>of</strong> that.<br />

REA has many favourable attributes.<br />

FSA: it tends <strong>to</strong> be a large species. It has not been embraced by large corporations or banks. It is not<br />

particularly adapted <strong>to</strong> spatial planning and is not easily replicable, as it does not have large data<br />

bases, like the KBA data base. The FSA is ad hoc, e<strong>special</strong>ly <strong>with</strong> the landscape.<br />

HCV has clearly defined criteria that any consultant or biologist can use <strong>to</strong> apply <strong>to</strong> a specific<br />

landscape.<br />

• Which criteria would be important for you, if you were <strong>to</strong> compare these <strong>approaches</strong>?<br />

The <strong>approaches</strong> are all taking place in political environments. So one looks for the <strong>to</strong>ol that fits one's<br />

needs, in order <strong>to</strong> pursue a specific conservation agenda. If one has a park or a landscape and one<br />

would like <strong>to</strong> create a protected area or if one wants <strong>to</strong> deal <strong>with</strong> an environmental impact from a<br />

highway or a gas line, then one chooses an instrument depending on the arguments it can deliver <strong>to</strong><br />

create a conservation strategy. Ideally, one would use a combination <strong>of</strong> them all. However, from a<br />

strictly scientific point <strong>of</strong> view, none <strong>of</strong> them are appropriate in my opinion.<br />

• Why would you say that?<br />

Because they are preconceived and when one does research one wants <strong>to</strong> explore attributes most<br />

appropriate for any given situation.<br />

Each one <strong>of</strong> them has weaknesses. ERBC are artificial polygons drawn on<strong>to</strong> a map, nature does not<br />

conform <strong>to</strong> polygons. Nature is about gradients. It goes from wet-dry, high-low and cold-warm. So<br />

dividing nature in<strong>to</strong> ecoregions is an entirely artificial classification. One does not want <strong>to</strong> be<br />

constrained by an artificial classification when looking at nature.<br />

KBA, for instance, are based on data bases. All KBA are based on observations and/or collections.<br />

Some scientist saw this species there. What about 95% <strong>of</strong> the planet that has not been seen by a<br />

biologist. Should one base a future conservation strategy on what someone saw years ago? In my<br />

opinion, KBA are not good for conservation planning or for research looking far in<strong>to</strong> the future. What<br />

they are very good at, is for policy applications.<br />

• So do you know any other methods that are good as conservation planning <strong>to</strong>ols?<br />

One should always look at it from the first principles. One has <strong>to</strong> understand biodiversity, the<br />

distribution <strong>of</strong> biodiversity, endemism (the KBA approach is good about that) and the threat <strong>to</strong><br />

species. These have been worked in<strong>to</strong> KBA, but KBA are limited by the fact that they are based on<br />

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past observations. It would be better <strong>to</strong> look at patterns <strong>of</strong> biodiversity and patterns <strong>of</strong> physical and<br />

climatic attributes that can be correlated <strong>to</strong> biodiversity. For example, high rainfall <strong>areas</strong> are most<br />

diverse, mountain <strong>to</strong>ps are most diverse. If one is considering climate change, one has <strong>to</strong> make sure<br />

a gradient that species can respond <strong>to</strong>, is available. So I would use a methodology based on the first<br />

principles <strong>of</strong> science and biodiversity patterns, in order <strong>to</strong> create a coherent framework using all <strong>of</strong><br />

the scientific <strong>to</strong>ols. Thus, being able <strong>to</strong> come up <strong>with</strong> a rational plan for a specific landscape.<br />

Conservation and the final analysis are at a landscape scale. All these global <strong>to</strong>ols have their<br />

limitations.<br />

The HCV concept is the most adaptable and this is probably why it is being adopted by so many<br />

corporations.<br />

• How would you best measure efficiency?<br />

For KBA or data bases, one plugs the information in<strong>to</strong> a GIS system and an answer is produced. For<br />

ERBC one goes through a process which is perhaps not as efficient.<br />

III<br />

Approaches & their requirements<br />

• A. Time: Could you give me an estimate <strong>of</strong> how long one <strong>of</strong> these <strong>approaches</strong> takes <strong>to</strong><br />

implement?<br />

It depends on the scale. KBA are a global data base and they are still not complete. In addition, they<br />

are predominantly just birds, frogs and insects. What about plants? It would take centuries <strong>to</strong> build up<br />

a KBA data base on plants. Although in a place like Europe which is data rich, important plant <strong>areas</strong><br />

exist. So, it will work in Europe. But that <strong>to</strong>ok 200 years <strong>to</strong> compile the particular data base on plant<br />

species. Can we wait 200 years for the Amazon? I think not.<br />

It depends on the taxa which is one <strong>of</strong> the limitations <strong>of</strong> the KBA approach. It is biased, as the<br />

strategy is based on the available data. Theoretically, ERBC deals <strong>with</strong> insects, as they deal <strong>with</strong><br />

assemblages <strong>of</strong> species. REAs allow one <strong>to</strong> address insects, assuming one can find experts <strong>to</strong><br />

<strong>identify</strong> insects.<br />

So again there are always trade-<strong>of</strong>fs, using the <strong>to</strong>ol most appropriate.<br />

In the final analysis, it is not based on data criteria, but rather on political criteria.<br />

• B. Cost: Could you mention something about the cost <strong>to</strong> implement some <strong>of</strong> the <strong>approaches</strong>?<br />

KBA are free. One plugs all the data in<strong>to</strong> the computer and out comes the result. This is a big<br />

advantage.<br />

The HCV concept take time, one has <strong>to</strong> go in<strong>to</strong> the field and talk <strong>to</strong> people. So that is a little different.<br />

The FSA, personally, I think, is a waste <strong>of</strong> time.<br />

The REA is the approach <strong>to</strong> generate the best data for an area. If you really want <strong>to</strong> <strong>identify</strong> the<br />

potential impacts, you take the time and do a field survey. The REA is probably the most appropriate<br />

for looking at biodiversity. Although one might want <strong>to</strong> combine a REA <strong>with</strong> something like the HCV<br />

concept, in order <strong>to</strong> look at aspects like water, carbon, etc.<br />

• C. Human Resources: Which approach would be the most labour intensive?<br />

That would clearly be a REA.<br />

• D. Data requirements: Would the data requirements also be most intensive for a REA?<br />

One creates data <strong>with</strong> a REA. Whereas for the KBA approach and ERBC approach this has already<br />

been done.<br />

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A4-INTERVIEW PARTNER H<br />

• E. Purpose <strong>of</strong> the approach: How efficient are the <strong>approaches</strong> in conserving biodiversity?<br />

One can take any one <strong>of</strong> these <strong>approaches</strong> and use it for one's own benefit. HCV are probably the<br />

most useful. They are also the most easy <strong>to</strong> implement. One can use the HCV criteria for basically<br />

any landscape. One can place HCV <strong>areas</strong> anywhere one wants <strong>to</strong>. I think that is what is going on<br />

<strong>with</strong> the concept which can either be a limitation or an advantage, depending on which way one looks<br />

at is and which goals one has.<br />

KBA are good at conserving species, but they are not good at looking at where there might be<br />

potential KBA. The KBA methodology has a modelling component <strong>to</strong> show where they should exist.<br />

So they are probably trying <strong>to</strong> improve that. The best available thing is expert knowledge, someone<br />

who knows the area, who knows the plants, animals and they will tell you what <strong>to</strong> do.<br />

• F. Certification: Do you think market based initiatives are more effective than governance<br />

based <strong>approaches</strong>?<br />

HCV is a methodology, but not a market based approach. It is being used by private enterprises, but<br />

I would not classify it as a market based approach.<br />

IV<br />

Summary, evaluation & outlook<br />

• How meaningful are these <strong>approaches</strong> for <strong>identify</strong>ing new <strong>areas</strong> important for biodiversity<br />

conservation?<br />

Very important. The 90s was the decade <strong>of</strong> biodiversity and this coming decade is the decade <strong>of</strong><br />

ecosystem services. I think biodiversity will take a back seat <strong>to</strong> that, even though many <strong>areas</strong> <strong>with</strong><br />

little available data still exist. It is certainly not going <strong>to</strong> be a priority.<br />

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A4-9 Interview Partner I<br />

II<br />

Approaches & their characteristics<br />

• Which <strong>approaches</strong> do you know?<br />

The <strong>approaches</strong> that I am most familiar <strong>with</strong> are the ERBC approach, FSA and REA and I know<br />

a little about the KBA approach. I’m not really familiar <strong>with</strong> the HCV concept.<br />

• For the <strong>approaches</strong> that you know: can you mention any strengths or weaknesses?<br />

KBA approach and FSA: they both assume a condition <strong>of</strong> stationarity which implies that the<br />

future will be indistinguishable from the past. So <strong>with</strong> habitats and systems changing rapidly due<br />

<strong>to</strong> climate change, those identified values may no longer be present over a short time period. So<br />

these <strong>approaches</strong> are not very representative. Under climate change they run a high risk <strong>of</strong> not<br />

meeting their goals. However, they both only require a modest investment <strong>of</strong> resources (a<br />

positive on that side).<br />

• As compared <strong>to</strong> the REA or ERBC?<br />

Yes, but one last comment on the KBA approach and the FSA is that if they capture ecological<br />

processes, it is by chance and not by design.<br />

ERBC: in my view, is the most comprehensive and most representative in terms <strong>of</strong> trying <strong>to</strong><br />

capture and maximize the different scales and different conservation targets <strong>of</strong> biodiversity. It is<br />

probably the most representative approach as it looks at several different scales: the species<br />

level, the natural community level and then the biophysical level. So one does not place all ones<br />

eggs in one basket. It probably does the best job <strong>of</strong> delineating important ecological processes<br />

and whole ecosystems.<br />

The downside is that it is quite resource intensive: data wise, personnel wise and expertise wise.<br />

It <strong>of</strong>ten results in large networks <strong>of</strong> ecosystems difficult <strong>to</strong> prioritize.<br />

• Is it correct that a GAP analysis is performed <strong>to</strong> prioritise large networks?<br />

That is one way <strong>to</strong> do it. Even if one has prioritised, one still ends up <strong>with</strong> large portions <strong>of</strong> the<br />

landscapes where it is difficult <strong>to</strong> determine where <strong>to</strong> start first. A GAP analysis gives one an idea<br />

<strong>of</strong> where <strong>of</strong>ficial protection may be lacking, but it will not <strong>identify</strong> <strong>areas</strong> most feasible for<br />

conservation. For instance, which <strong>areas</strong> have the right enabling conditions? Where stakeholders<br />

are motivated <strong>to</strong> make the necessary changes, where one has funding and political support <strong>to</strong><br />

make those changes. So one still will need <strong>to</strong> do a feasibility analysis, once a GAP analysis has<br />

been performed, thus, adding <strong>to</strong> the time and cost.<br />

REA: this really depends on what is meant by rapid. Several REAs have been performed <strong>to</strong> fill in<br />

data gaps for ERBC planning efforts. They were very successful, they were rapid and much less<br />

costly relative <strong>to</strong> the overall ERBC approach, but they were used <strong>to</strong> augment an already fairly<br />

rich data source. For example, in the Apache Highlands, considerable data for about 60% <strong>of</strong> the<br />

ecoregion existed and for the remaining 40% absolutely no data existed. Thus, an REA was<br />

conducted <strong>to</strong> develop better data. This assessment <strong>to</strong>ok approximately 14 months which is much<br />

longer than what anyone would consider a typical rapid assessment. When compared <strong>to</strong> the<br />

overall end result, the REA was only a small portion <strong>of</strong> resources. One advantage <strong>of</strong> the REA<br />

was that, at the end <strong>of</strong> the process, a much better and overall knowledge <strong>of</strong> the area was<br />

obtained. Thus, it proved <strong>to</strong> be a very good data source for planning and indicated a way <strong>to</strong><br />

develop stakeholders and a constituency around the area. So in the traditional sense a REA is<br />

going <strong>to</strong> be best for large countries or continental <strong>areas</strong> <strong>with</strong> very little available data and where<br />

one does not want <strong>to</strong> rely on modelling exercises. That is its traditional use - very good and very<br />

appropriate. We have a small scale example <strong>of</strong> that, where we knew nothing about an area and<br />

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A4-INTERVIEW PARTNER I<br />

so we used it <strong>to</strong> supplement what otherwise would have been considered a very rich data<br />

source.<br />

REAs are excellent <strong>to</strong> build awareness and <strong>to</strong> build a constituency about an area which is<br />

probably fairly important, but <strong>with</strong> few people knowing much about it.<br />

• With regard <strong>to</strong> the criteria that I have used <strong>to</strong> perform the strength - weakness analysis, can<br />

you think <strong>of</strong> any criteria that you would use <strong>to</strong> compare the various <strong>approaches</strong>?<br />

One question that should be asked: what is the goal <strong>of</strong> the planning exercise? Is it a university<br />

exercise or is it going <strong>to</strong> play a role in implementation? The answer should then be used <strong>to</strong> guide<br />

the values, and the amount <strong>of</strong> resources that will go in<strong>to</strong> it.<br />

For example; the intended users’ sub-criterion: here there will be large differences, depending on<br />

the setting. For instance, in a university setting, one may place more effort in translation,<br />

whereas if one performs the approach for implementation time for translation will be available as<br />

one works <strong>with</strong> it for the entire time.<br />

Many <strong>of</strong> the intended users do not have the facility or the technical know-how <strong>to</strong> understand the<br />

bulk <strong>of</strong> the work. Thus, the translation <strong>of</strong> results is extremely important and will dictate whether or<br />

not the plan ultimately gets implemented. The ability <strong>of</strong> others <strong>to</strong> understand and <strong>to</strong> view the<br />

outcome is crucial.<br />

• How would you best measure efficiency?<br />

This will be cost and time against the goal. So it will really depend on the goal, <strong>with</strong> cost and time<br />

being primary fac<strong>to</strong>rs. Methods are not as important or much less important if one does not<br />

produce a result in a time that matters.<br />

III<br />

Approaches & their requirements<br />

• A. Time: As an estimate, how much time is required for the implementation?<br />

The Sinoran Desert <strong>to</strong>ok 24 months.<br />

The Apache Highlands <strong>to</strong>ok 18 months.<br />

• In comparison <strong>to</strong> that, how long does the FSA normally take?<br />

As an estimate it could be completed in about a quarter <strong>of</strong> the time. However, they are normally<br />

much smaller in size.<br />

The ecoregions can be 10s <strong>of</strong> millions <strong>of</strong> acres. A FSA has never been performed at that scale. It<br />

will be done at a fraction <strong>of</strong> the time and cost, as one deals <strong>with</strong> a much smaller universe <strong>of</strong><br />

conservation targets and criteria. Whereas ERBC normally deals <strong>with</strong> many data sources for the<br />

models.<br />

• B. Cost: How much does ERBC cost?<br />

The Sinoran Desert cost 300,000 US$ in 2000.<br />

The Apache Highlands cost ~250,000 US$ in 2004 (less time and this was the second<br />

assessment performed).<br />

• C. Human Resources: What human resources are required for the ERBC approach?<br />

It is very resource intensive, both for data, expertise and money <strong>to</strong> pay for people's time and in<br />

some cases data. For example, the cost <strong>of</strong> a project will increase if one wants <strong>to</strong> ensure that the<br />

project is a binational effort, as if <strong>of</strong>ten the case <strong>with</strong> ERBC. Any binational effort will obviously<br />

improve the quality <strong>of</strong> the outcome.<br />

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• So as a general statement could one say that by decreasing the cost, one would<br />

compromise or sacrifice the quality <strong>of</strong> the outcome?<br />

This would depend on whether one is in a university context or a conservation context. In a<br />

university context, it may or may not sacrifice the outcome. But in a conservation context where<br />

the goal is <strong>to</strong> <strong>identify</strong> and then implement the results, it definitely would.<br />

• E. Purpose <strong>of</strong> the approach: How could one best compare the outcome <strong>of</strong> <strong>approaches</strong>?<br />

That is an extremely challenging question <strong>to</strong> answer, because typically when ERBC planning<br />

exercise started, they were intended <strong>to</strong> guide the work for 10-20 years. However, implementation<br />

is still ongoing. For example, the Sinoran Desert plan was completed around 2000 and then one<br />

started working <strong>with</strong> local jurisdiction or county <strong>to</strong> raise money <strong>to</strong> buy that land. And in 2004 a<br />

public funding election for conservation raised for 174 mill US$. This money was all spent by July<br />

09. Over 140,000 acres have been purchased for conservation which seems a lot. But if one<br />

compares this <strong>to</strong> the 29 mill acres identified for conservation, it is only about 30%. Maybe 10 mill<br />

acres was already conserved in a suitable fashion, so we still had 2/3 <strong>of</strong> the way has already<br />

been gone.<br />

• If one goes <strong>to</strong> another part <strong>of</strong> the world...<br />

There is not enough money <strong>to</strong> buy everything needed for conservation, as land is so expensive<br />

in the US.<br />

The question on efficiency has nothing <strong>to</strong> <strong>with</strong> how the plan was obtained. It has everything <strong>to</strong> do<br />

<strong>with</strong> implementation which requires a <strong>to</strong>tally different set <strong>of</strong> expertise than the people who<br />

actually do the science behind the planning.<br />

• So more governance based expertise?<br />

Right, it is governance based, it is politics, it is working <strong>with</strong> communities, it is working <strong>with</strong><br />

agencies that may have conflicting missions. Efficiency should be based on science.<br />

IV<br />

Summary, evaluation & outlook<br />

• How meaningful can <strong>approaches</strong> used for the identification <strong>of</strong> biodiversity relevant <strong>areas</strong> be<br />

for biodiversity conservation?<br />

It can be very valuable, because firstly efficiency and the cost-benefit ratio are critical. Again, if<br />

one cannot produce something in the time required, then it will be <strong>of</strong> little use. One either wastes<br />

resources or one does not achieve the goals.<br />

Secondly, if one <strong>of</strong> your conclusions shows there is a difference between implementation and the<br />

criteria required for evaluation. So, how well it does in comparison <strong>to</strong> the science part <strong>of</strong> it -<br />

<strong>of</strong>ficially can it <strong>identify</strong> important conservation <strong>areas</strong>? That would be a very important<br />

contribution. This is not very well unders<strong>to</strong>od, as these methods originated from the academic<br />

industry or combinations there<strong>of</strong>. Scientifically it is intensive and we have come so far. It is<br />

remarkable what can be done now, but what is needed <strong>to</strong> implement these results requires other<br />

technologies, other expertise and science. In addition, people who understand how <strong>to</strong> work in<br />

other environments such as governance are also required. So it requires much more<br />

collaboration occurring over much longer time scales than the actual scientific planning does and<br />

the more and more the scientific community can understand how their work fits in<strong>to</strong> that picture,<br />

the better <strong>of</strong>f for everyone.<br />

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A4-10 Interview Partner J<br />

II<br />

Approaches & their characteristics<br />

• Which <strong>approaches</strong> do you know?<br />

I am somewhat familiar <strong>with</strong> HCV which is used quite a bit in Indonesia. I have done REAs and quite<br />

a few ecoregional assessments.<br />

• For the <strong>approaches</strong> that you know: can you mention any strengths or weaknesses?<br />

ERBC and REA have two purposes or desired outcomes. REA, as the name implies, is pretty<br />

superficial, rapid and wholly dependent on the team composition chosen for the assessment; the<br />

amount <strong>of</strong> time available <strong>to</strong> conduct the assessment and the available or required technology. For<br />

instance pho<strong>to</strong> traps in conjunction <strong>with</strong> actual trappings or in contrast, visual sightings and call<br />

identifications. The degree <strong>to</strong> which technology can assist assessments really influences the<br />

outcome value.<br />

As far as ERBC, among all the <strong>approaches</strong> you have looked at, ERBC tends <strong>to</strong> be the most<br />

comprehensive and the most useful in terms <strong>of</strong> follow up conservation implementation. The<br />

weaknesses primarily are the degree <strong>of</strong> superficiality, the repetitiveness, the cost and amount <strong>of</strong><br />

resources required <strong>to</strong> conduct an assessment.<br />

• Which criteria would you use <strong>to</strong> compare the various <strong>approaches</strong>?<br />

As a conservation practitioner one should ask: what is the ultimate goal <strong>of</strong> these assessments? Why<br />

one is chosen over another <strong>of</strong>ten depends on the purpose <strong>of</strong> the outcome. Is it <strong>to</strong> protect new <strong>areas</strong>,<br />

improve protection in existing <strong>areas</strong> or is it simply <strong>to</strong> refine existing conservation programmes. Is it <strong>to</strong><br />

prioritize the work <strong>of</strong> an organization in a newly identified area or region <strong>of</strong> the world in which the<br />

organization wants <strong>to</strong> work? This is very dependent on the desired outcome. How is that information<br />

used for actual conservation? Just the identification alone is not enough. What the next step is, the<br />

far more important than the identification process. Does one start lobbying for new protected <strong>areas</strong> <strong>to</strong><br />

be designated? Does one start lobbying for more funding <strong>to</strong> be dedicated <strong>to</strong> these <strong>areas</strong> for<br />

appropriate management actions or res<strong>to</strong>ration programmes <strong>to</strong> be implemented?<br />

Example Indonesia: HCV assessments have been used <strong>to</strong> <strong>identify</strong> appropriate industries <strong>to</strong> work <strong>with</strong><br />

in order <strong>to</strong> manage forest in a more sustainable way for the target species. Whether those are<br />

Orangutans, bird guilds or aquatic species like the Irrawaddy dolphin. These can be very effective<br />

<strong>to</strong>ols in helping an organisation refine what it wants <strong>to</strong> do, where <strong>to</strong> focus resources, where <strong>to</strong> make<br />

the investment. To get the biggest bank for the buck, as is said.<br />

• How would you best measure efficiency?<br />

Efficiency again, if one looks at time and cost/ expenses, the usefulness <strong>of</strong> the result will depend on<br />

aim <strong>of</strong> the assessment. So efficiency is very dependent on why one implements the assessment and<br />

the desired outcome. But in general, ERBC tends <strong>to</strong> be the most effective in <strong>identify</strong>ing priority <strong>areas</strong><br />

for conservation and <strong>to</strong> get the full representation at every level, genetic level, species level, natural<br />

community level <strong>of</strong> ecological and biodiversity representation in the planning area. It is also a very<br />

good lead-in for the next phase <strong>of</strong> conservation planning which is much more specific for each <strong>of</strong> the<br />

priority <strong>areas</strong> that are identified.<br />

A REA is very useful in <strong>areas</strong> that are under urgent threat. For example, <strong>areas</strong> that have been<br />

included in a forest plan for cutting <strong>with</strong>in the next ten years, or <strong>to</strong> make sure that something<br />

ecologically or biologically unique is not lost, either at a regional or global scale <strong>with</strong>in <strong>areas</strong> destined<br />

<strong>to</strong> be degraded or converted. Those can be really effective, quick and dirty assessments <strong>to</strong> find out<br />

whether or not something is going <strong>to</strong> be lost by the impending activity in that area.<br />

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HCV designation - the jury is still out <strong>to</strong> whether or not these are effective long-term. The light in<br />

which this method is being used depends very strongly on the industry it has been adopted by (eg.<br />

mining, timber, etc.). This will reflect in the efficiency <strong>of</strong> the approach. The implementing<br />

organisation's relationship <strong>with</strong> the relevant industry and whether these industries are being forced <strong>to</strong><br />

adopt the HCV concept will also affect the efficiency. Additionally, the companies resources they<br />

have available <strong>to</strong> implement the concept and the appropriate management scenarios for sustaining<br />

biodiversity identified in the HCV <strong>areas</strong>.<br />

The focal species approach can be efficient, if the right focal species is chosen. There is a huge<br />

assumption that by focusing on those few focal species, one sweeps up all other and unknown<br />

species under one umbrella.<br />

It is usually a good choice <strong>to</strong> select an approach that looks at the whole watershed. As this captures<br />

many different levels <strong>of</strong> ecological process and function, in contrast <strong>to</strong> the focal species approach<br />

where individual species contained <strong>with</strong>in the landscapes are captured.<br />

• Is this scale similar <strong>to</strong> the ERBC approach?<br />

ERBC captures it at a higher scale. One has multiple watersheds, multiple landscapes which are all<br />

weighed against each other. In the cases <strong>of</strong> several watersheds and similar biodiversity components,<br />

species and natural communities, one can rank these based on their existing level <strong>of</strong> degradation, or<br />

on their perceived viability due <strong>to</strong> other threats on the landscape. Thus, ERBC is at a very<br />

appropriate scale for capturing multiple examples <strong>of</strong> what is assumed or projected <strong>to</strong> be viable<br />

natural communities and, or habitats required <strong>to</strong> maintain species over the long term. In my view, this<br />

is the most efficient and effective way for performing an analysis, if one has the luxury <strong>of</strong> time. If one<br />

does not, due <strong>to</strong> threats looming on the horizon that either are already affecting the landscape or are<br />

poised <strong>to</strong> do so in the next year or two, then one would chose something much more rapid.<br />

• And also if you have the luxury <strong>of</strong> enough financial resources?<br />

Right exactly<br />

• May I just go back <strong>to</strong> what you said about that ERBC covers all levels <strong>of</strong> biodiversity? I have<br />

struggled <strong>to</strong> find any literature on actually capturing the genetic level. The way I have<br />

unders<strong>to</strong>od it, is that this is captured indirectly through due <strong>to</strong> the protection <strong>of</strong> large<br />

landscapes which conserves genetic diversity.<br />

One <strong>of</strong> the things we do in ERBC (which is done in none <strong>of</strong> the other <strong>approaches</strong>) is that we divide<br />

the ecoregion in<strong>to</strong> 4-6 subregions based geographically on an already published distribution. For<br />

instance, in the Mojave Desert both desert <strong>to</strong>r<strong>to</strong>ise genetic information which had already been<br />

gathered and Joshua Tree Woodland information were utilized <strong>to</strong> divide the ecoregion in<strong>to</strong> 6<br />

subregions (which are roughly based on the compass points). Then one sets the same goals for<br />

each <strong>of</strong> these subregions. For instance, if one wants <strong>to</strong> capture 30% <strong>of</strong> all populations <strong>of</strong> desert<br />

<strong>to</strong>r<strong>to</strong>ise in the Mojave ecoregion, the same goal exists for the 6 subregions. So genetic diversity for<br />

that specific species is captured and at the same time one assumes that the genetic diversity <strong>of</strong> other<br />

species is also captured. The assumption rests on the diverse nature <strong>of</strong> the ecoregion comparing<br />

North <strong>to</strong> South and East <strong>to</strong> West and the Central portion. So those peripheral differences at the<br />

genetic level are captured. When one starts talking about the interface <strong>of</strong> one ecoregion <strong>to</strong> another,<br />

then one starts talking about having difference in soil type, climatic differences, elevation, latitude,<br />

longitude, things like that. Thus, one feels fairly confident that genetic diversity <strong>of</strong> individual species is<br />

captured. However, genetic diversity <strong>of</strong> the natural communities occurring throughout the ecoregion<br />

is captured by capturing the full representation across the ecoregion.<br />

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III<br />

Approaches & their requirements<br />

• B. Cost: How much do the <strong>approaches</strong> cost?<br />

REA: is <strong>to</strong>tally dependent on how much land is being assessed, how many people are involved and<br />

the amount <strong>of</strong> required technology. So, as far as I know, there is no ball park figure. It could cost 10s<br />

<strong>of</strong> 1000s <strong>of</strong> US$ or it could be millions <strong>of</strong> US$, depending on how many resources are available. It<br />

also depends on the size <strong>of</strong> the assessment area, thus, making it difficult <strong>to</strong> pin point.<br />

ERBC, one has a fairly good idea <strong>of</strong> how long they take and how much they cost. In the US, they<br />

take about 2 years, using standard methodology and cost about 200,000 US$. International they<br />

have run from 150,000-350,000 US$. With an example in China which cost almost 2mill US$ and<br />

<strong>to</strong>ok 3 years. This always depends on the size <strong>of</strong> the assessed area and the amount <strong>of</strong> required<br />

people.<br />

• E. Purpose <strong>of</strong> the approach: How efficient do you think these <strong>approaches</strong> are in conserving<br />

biodiversity?<br />

I don't think any <strong>of</strong> them conserve biodiversity. All they do is <strong>identify</strong> it. The next step is: how is the<br />

information used <strong>to</strong> conserve biodiversity. That is the difficult part, <strong>identify</strong>ing is the easiest step in<br />

the whole conservation process. It depends on how an individual conservation organisation, a<br />

government or a natural resource <strong>of</strong>fice is conducting the assessment. What is done <strong>with</strong> the<br />

information afterwards will or will not conserve biodiversity. For instance, legally designating<br />

protected <strong>areas</strong> or funnelling more money <strong>to</strong> improve management <strong>of</strong> already protected <strong>areas</strong> as<br />

these <strong>areas</strong> were <strong>of</strong>ten set aside for reasons other than biodiversity, such as aesthetic purposes,<br />

his<strong>to</strong>rical, cultural reasons. They would therefore, not take in<strong>to</strong> account what is necessary for<br />

viability, function and process on the landscape-scale. So none <strong>of</strong> the <strong>approaches</strong> are effective or<br />

efficient at conservation implementation, as this is not their goal. Their goal is <strong>to</strong> <strong>identify</strong> <strong>areas</strong> for<br />

subsequent implementation and conservation action. Depending on what the outcome should be<br />

used for, one sets specific goals prior <strong>to</strong> the assessment. For instance, in Mongolia: the GAP<br />

assessment - another system <strong>of</strong>ten used <strong>to</strong> <strong>identify</strong> new <strong>areas</strong> for protected status usually <strong>with</strong>in the<br />

political unit (sometimes <strong>with</strong>in the ecological unit), usually at the state or national level. Here one<br />

looks at the entire suit <strong>of</strong> existing protected <strong>areas</strong> and sees what they capture and what they are<br />

missing. Hence the name GAP. Then one uses the information <strong>to</strong> <strong>identify</strong> new <strong>areas</strong> <strong>to</strong> add <strong>to</strong> the<br />

existing conservation system. This is happening Mongolia <strong>with</strong> grasslands. The GAP assessment<br />

has just been completed and a full ERBC is planned <strong>to</strong> <strong>identify</strong> where those new protected <strong>areas</strong><br />

should be and also the type <strong>of</strong> protected area. This also being an important question. Six different<br />

levels <strong>of</strong> IUCN categories exist, thus depending on the desired outcome the designation according <strong>to</strong><br />

the IUCN categories will differ (i.e. national park or national recreation). This again will dictate the<br />

amount <strong>of</strong> management required, ranging from only fencing an area and saying this is <strong>of</strong>f-limits <strong>to</strong><br />

development <strong>to</strong> actively res<strong>to</strong>ring habitats and species management.<br />

• May I just move back <strong>to</strong> this GAP assessment quickly? The way I unders<strong>to</strong>od it, is that it is<br />

used, in KBA and ERBC <strong>approaches</strong>, after <strong>identify</strong>ing KBA or ecoregions and then the GAP<br />

analysis was performed?<br />

Not necessarily. KBA as a <strong>to</strong>ol can be synonymous <strong>with</strong> a GAP assessment. One identifies national<br />

biodiversity sites based on their <strong>importance</strong> in maintaining their population <strong>of</strong> species which can be<br />

integrated in<strong>to</strong> a GAP assessment. It is not necessarily tied <strong>to</strong> ERBC. Ideally one does them<br />

simultaneously providing on has the correct team and resources. For instance, in Borneo a<br />

biodiversity assessment (similar <strong>to</strong> the definition <strong>of</strong> a KBA) <strong>of</strong> the whole island was performed using<br />

ERB methodology and from that a GAP assessment was produced. Part <strong>of</strong> the assessment was <strong>to</strong><br />

determine whether the existing level <strong>of</strong> protection was sufficient. Were the species and natural<br />

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community types conserved by the existing protected area types? What more needs <strong>to</strong> be<br />

incorporated in<strong>to</strong> the existing system <strong>of</strong> protection? What is missing entirely from the existing system<br />

<strong>of</strong> protected <strong>areas</strong>? So GAP and ERBC can go hand-in-hand, but they are not interchangeable. GAP<br />

assessment does something very different <strong>to</strong> an ERB assessment and one can perform an ERBC<br />

assessment <strong>with</strong>out a GAP assessment. But <strong>of</strong>ten, as threats and current levels <strong>of</strong> protection are<br />

analysed, a GAP is incorporated in<strong>to</strong> an ERBC assessment. However, GAP can be done separately.<br />

They are typically based on things other than ecological defined <strong>areas</strong>. They are more politically<br />

based, state, local county, national level, not based on ecologically defined <strong>areas</strong>.<br />

• May I just ask one question about threats? How do you define the threat thresholds?<br />

It is done on a threat by threat basis. One can use satellite imagery <strong>to</strong> <strong>identify</strong> things like road<br />

networks, human population density, forest fire his<strong>to</strong>ry, use national records on mining leases/<br />

permits, the degree <strong>to</strong> which these leases have been put in<strong>to</strong> action (i.e. work has begun or when it<br />

is scheduled <strong>to</strong> begin). All <strong>of</strong> this information goes in<strong>to</strong> a threat assessment. It is very important in<br />

ERBC <strong>to</strong> choose <strong>areas</strong> that maybe threatened, but are not threatened <strong>to</strong> the point that they are not<br />

viable in the long term. So one would not choose <strong>to</strong> work in an area that has an irreversible threat.<br />

Nothing can be done about that. Additionally, one probably would not choose <strong>to</strong> invest resources in<br />

an area which might be biologically diverse, but if it is not threatened, it would not benefit much from<br />

further resource allocation. Thus, ERBC identifies <strong>areas</strong> that may be highly threatened, but where<br />

something can be done <strong>to</strong> reduce that threat. Or <strong>to</strong> res<strong>to</strong>re <strong>areas</strong> that have been degraded by a<br />

threat, such as logging, fire damage, road building (which can be removed). The levels <strong>of</strong> threat are<br />

determined on the degree <strong>to</strong> which the threat is isolated <strong>to</strong> a specific footprint or whether the adverse<br />

effects <strong>of</strong> the footprint go beyond the footprint. For instance, cities and <strong>to</strong>wns have a discrete<br />

footprint in the landscape, but the effects <strong>of</strong> those cities and <strong>to</strong>wns go for miles and miles beyond that<br />

footprint. It is like a spider's web going out from the heart <strong>of</strong> the city or <strong>to</strong>wn, in terms <strong>of</strong> the habitat<br />

degradation. This degradation can be ranked qualitatively, low, medium, high, from the source <strong>of</strong> that<br />

threat whether this is human habitation, coal mine or gas field. Thus, zones <strong>of</strong> threat degree or zones<br />

<strong>of</strong> degradation emanating out from the centre <strong>of</strong> each source <strong>of</strong> threat are established. In this way<br />

landscapes <strong>with</strong>in an ecoregion can be ranked in order <strong>to</strong> pinpoint the area <strong>with</strong> lowest ecological<br />

cost <strong>to</strong> work in.<br />

• F. Certification: In your opinion, how do market based initiatives fare in biodiversity<br />

conservation?<br />

They sound good, and they look good on paper. Much like HCV designations, I think that the jury is<br />

still out on whether or not they actually result in long-term conservation, as markets fluctuate.<br />

Additionally, the success <strong>of</strong> such initiatives depends a lot on the level <strong>of</strong> governance, the system <strong>of</strong><br />

law enforcement existing in the area <strong>of</strong> interest. Also the degree <strong>to</strong> which one can suppress the<br />

human desire <strong>to</strong> cheat <strong>with</strong> enough incentive <strong>to</strong> <strong>of</strong>f-set this, will determine how effective the marketbased<br />

approach will be. If there is a short cut or a way for the black market <strong>to</strong> exist, then it will<br />

happen. Unless the legal system is strong enough and disincentives exist <strong>to</strong> prevent short-cutting.<br />

Thus, the success differs case by case, depending on the country or state or region in which these<br />

<strong>approaches</strong> are implemented. Again they sound good and they are really popular right now, but I<br />

think it is really going <strong>to</strong> be dependent on the legal system <strong>to</strong> enforce them.<br />

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IV<br />

Summary, evaluation & outlook<br />

• How meaningful can <strong>approaches</strong> used for identification <strong>of</strong> biodiversity relevant <strong>areas</strong> be for<br />

biodiversity conservation?<br />

• Do you think efforts should rather concentrate on existing biodiversity initiatives rather than<br />

<strong>identify</strong>ing new <strong>areas</strong>?<br />

No, because in the past, like the designation <strong>of</strong> the protected <strong>areas</strong>, these initiatives or existing<br />

conservation programmes may have begun at a time when not enough information was available, or<br />

<strong>areas</strong> were designated for purposes other than biodiversity conservation. So whenever one can use<br />

new technologies and new methods <strong>of</strong> analysis and assessment, one should. Just <strong>to</strong> make sure that<br />

one is working at the right place and one is conserving all levels <strong>of</strong> biodiversity, species, genetic and<br />

the larger community level. In addition, new challenges which are being wrestled <strong>with</strong> <strong>with</strong>in our<br />

organisation. For example, adaptation <strong>to</strong> climate change is probably one <strong>of</strong> the <strong>areas</strong> that we are<br />

struggling most <strong>with</strong> right now, in terms <strong>of</strong> how do we incorporate projected levels and projected<br />

directions in<strong>to</strong> our current work and how do we utilize that information when we recommend new<br />

<strong>areas</strong> for protection. There is no single answer <strong>to</strong> that. The climate change debate is going on in<br />

addition <strong>to</strong> the issue <strong>of</strong> ecosystem services and consideration <strong>of</strong> sustainable human prosperity.<br />

Ultimately a lot <strong>of</strong> people in conservation are beginning <strong>to</strong> realise that sustainable human prosperity<br />

is going <strong>to</strong> dictate whether an area succeeds or fails in the long term. If local communities are not<br />

benefiting from protected area close by, then ultimately support for that protected area is going <strong>to</strong> fail<br />

and locals will exploit resources <strong>with</strong>in the protected area. Thus, one needs <strong>to</strong> take sustainable<br />

human prosperity and satisfac<strong>to</strong>ry living standards in and around the protected <strong>areas</strong> in<strong>to</strong> account, if<br />

we have any hope <strong>of</strong> sustaining them over the long term.<br />

• And then sustainable human prosperity is going <strong>to</strong> be challenged by climate change.<br />

Oh yes, this is a moving target, for example, how migra<strong>to</strong>ry corridors or the ability <strong>of</strong> species or<br />

natural communities <strong>to</strong> fluctuate or essentially move across the landscape along a very long<br />

timeframe. If designated protected <strong>areas</strong> and designated development zones exist, it may be that<br />

those development zones have now cut <strong>of</strong>f the ability <strong>of</strong> species or natural communities <strong>to</strong> move in<br />

response <strong>to</strong> a change in climatic conditions. If the <strong>areas</strong> they are located in currently are not going <strong>to</strong><br />

be appropriate habitats for them 20-100 years in the future then how they are going <strong>to</strong> get <strong>to</strong> these<br />

newly appropriate <strong>areas</strong> is going <strong>to</strong> be a whole new challenge in the future.<br />

• And because all <strong>of</strong> these climate change predictions are all based on models, and the longer<br />

you look in<strong>to</strong> the future?<br />

The decisions made based on models are really critical and if the reliability <strong>of</strong> data has a very low<br />

confidence levels then, then the decision based on climate models can either be catastrophic or well<br />

formed and prescient in terms <strong>of</strong> their ability <strong>to</strong> accommodate whatever the path <strong>of</strong> the climate<br />

change is going <strong>to</strong> be. This adds a whole new level <strong>of</strong> insecurity <strong>to</strong> the conservation planning<br />

process. This is being considered in our work in Mongolia <strong>with</strong> grasslands. We are trying <strong>to</strong> wrestle<br />

<strong>with</strong> what are the projected models for climate change for that ecosystem type and can we<br />

accommodate the projected changes in terms <strong>of</strong> how and where we designate protected zones. How<br />

does one make this case <strong>to</strong> governments who typically decide on very short time frames and only on<br />

visible, detectable data and not what is supposedly going <strong>to</strong> happen 10/20 years down the road. This<br />

is going <strong>to</strong> be very difficult.<br />

• Do you have any further points you would like <strong>to</strong> add?<br />

One aspect that we are <strong>to</strong>ying <strong>with</strong> is looking at the usefulness <strong>of</strong> habitat models and using satellite<br />

imagery for distinguishing land cover and form. So looking at soil type, slope, aspect, vegetative<br />

cover and then tying that <strong>to</strong> specific species habitat needs and developing models, so that we can<br />

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more rapidly <strong>identify</strong> <strong>areas</strong> that we presume <strong>to</strong> have really high diversity, because <strong>of</strong> either macro or<br />

micro habitat composition <strong>of</strong> landscapes. This is wholly dependent on the scale <strong>of</strong> the available<br />

digital information from satellite imagery and the detail <strong>of</strong> habitat requirements <strong>of</strong> species and<br />

communities. This must be followed up by ground truthing in a certain subset <strong>of</strong> these <strong>areas</strong> <strong>to</strong> verify<br />

the satellite imagery and land form composition. This can prove <strong>to</strong> be a really efficient way <strong>of</strong> doing<br />

rapid assessments. At the moment, REAs performed through inven<strong>to</strong>ries by the right number <strong>of</strong><br />

biologists and ecologists <strong>to</strong> evaluate whether an area is truly diverse or not and whether or not there<br />

are viable populations <strong>of</strong> specific species <strong>with</strong>in the landscape. This could be done by using satellite<br />

imagery, if the right data were available <strong>to</strong> plug in<strong>to</strong> the models. These models will need <strong>to</strong> be verified<br />

on the ground.<br />

• How far are you away from implementing these models?<br />

I would say at least two years maybe a little longer. There is a high level <strong>of</strong> discomfort relying solely<br />

on these models, because if one gets it wrong, some <strong>of</strong> the decisions as a result <strong>of</strong> a wrong<br />

representation could be very significant. If one said the area is not diverse due <strong>to</strong> the available<br />

information or the models do not <strong>identify</strong> it as such and this is used, for instance, <strong>to</strong> convert a forest<br />

in<strong>to</strong> an oil palm plantation. Then it turns out that in reality it held a very important population <strong>of</strong> rare<br />

plants or endemic fish species or invertebrates. This is the type <strong>of</strong> outcome we are worried about by<br />

using solely remote sensed data combined <strong>with</strong> habitat species models.<br />

• Surely that will always need <strong>to</strong> be verified through ground truthing?<br />

Yes, ground truthing should be proportionate <strong>to</strong> the confidence level <strong>of</strong> the data you use. So if one<br />

has a very high degree <strong>of</strong> comfort in the species habitat models, for example if one feels that it is<br />

based on either very long-term or very intensive on the ground studies <strong>of</strong> these species or habitats<br />

and one feels the information is highly correlated <strong>with</strong> specific land forms, then one might not need <strong>to</strong><br />

do that much ground truthing. But if the opposite is true, then one should invest in a greater degree <strong>of</strong><br />

ground truthing, as confidence levels are so much lower. So I would really tie that <strong>to</strong> a really honest<br />

assessment <strong>of</strong> how one feels about the data one is using <strong>to</strong> <strong>identify</strong> these <strong>areas</strong> remotely.<br />

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A4-11 Interview Partner K<br />

II<br />

Approaches & their characteristics<br />

Which <strong>approaches</strong> do you know?<br />

I am familiar <strong>with</strong> them all from a practitioner's general level <strong>of</strong> awareness. Other than the HCV<br />

approach, I have not managed, nor evaluated projects using the other <strong>approaches</strong>, nor have I<br />

evaluated any project that implemented one <strong>of</strong> those <strong>approaches</strong>. However, the HCV concept is a<br />

type <strong>of</strong> umbrella approach. It is really set up <strong>to</strong> guide land-managers or planners <strong>to</strong> use any and all<br />

appropriate conservation <strong>to</strong>ols. The HCV concept was not set up <strong>to</strong> supplant a Hotspot, Ecoregion<br />

identification process, or the Five-S process.<br />

REA is extremely important in doing the preliminary assessment work that an HCV approach would<br />

require. Very quickly <strong>identify</strong>ing what are the potential HCVs. This would be one reason for<br />

implementing an REA.<br />

Could you list any strengths and weaknesses <strong>of</strong> the HCV concept?<br />

The perennial weakness <strong>of</strong> any approach, is the lack <strong>of</strong> data and the extent <strong>to</strong> which biodiversity is<br />

unders<strong>to</strong>od in the world, particular in the tropics and the least developed countries <strong>of</strong> the tropics. The<br />

knowledge base needed <strong>to</strong> use effective <strong>to</strong>ols, is <strong>of</strong>ten a challenging element. So the HCV approach<br />

requires a lot <strong>of</strong> reliance on experts, literature, best available data. In essence, it comes down <strong>to</strong> a<br />

situation where many taxa are just not well inven<strong>to</strong>ried or unders<strong>to</strong>od. Their population dynamics is<br />

not well unders<strong>to</strong>od, their extent, their range and so on. So one gets in<strong>to</strong> situations dealing <strong>with</strong><br />

proxies for biodiversity which typically rely on habitat and extent <strong>of</strong> viable habitat. In a lot <strong>of</strong> places in<br />

the world the dynamics <strong>of</strong> land-use change is so rapid that experimental, moni<strong>to</strong>ring or basic<br />

inven<strong>to</strong>ry work around biodiversity is barely able <strong>to</strong> catch up or keep pace. So in some cases, these<br />

<strong>approaches</strong> are limited by the amount <strong>of</strong> information, e<strong>special</strong>ly spatially explicit information. It is<br />

<strong>of</strong>ten a challenge <strong>to</strong> have good mapping and high resolution imagery that can present different types<br />

<strong>of</strong> habitat units.<br />

The other challenging element or weakness <strong>with</strong>in HCV is that it really does need <strong>to</strong> rely on a<br />

precautionary approach (<strong>of</strong>ten a weakness <strong>of</strong> conservation in general) following the precautionary<br />

principle which effectively leads <strong>to</strong> a lot <strong>of</strong> subjectiveness and caution which can also be a good<br />

thing. The precautionary principle is a good conservation rule.<br />

The strengths <strong>of</strong> the HCV approach are that it is flexible and malleable <strong>to</strong> encompass many different<br />

types <strong>of</strong> conservation assessments, mapping and moni<strong>to</strong>ring <strong>approaches</strong>. So it works well as an<br />

effective umbrella.<br />

It is also good, as it identifies values, and whether those values are high or not depends on a number<br />

<strong>of</strong> different criteria. These criteria are designed <strong>to</strong> really capture the issues <strong>of</strong> landscape level and<br />

species level biodiversity. Often cultural diversity, human needs and environmental services are not<br />

included in biodiversity studies. So HCV is holistic in that it recognises regions <strong>of</strong> high concentrations<br />

<strong>of</strong> rare, endemic or endangered species. These may also be regions that have a fundamental human<br />

survival component, either cultural survival or basic subsistence and environmental protection for<br />

things like water quality and so on.<br />

The common denomina<strong>to</strong>r: one starts from an area <strong>with</strong> the aim <strong>to</strong> conserve biodiversity. Here the<br />

understanding <strong>of</strong> biodiversity can be a limiting fac<strong>to</strong>r. Certainly, there are systems or places where a<br />

lot <strong>of</strong> knowledge and understanding has been gathered which helps manage the resource.<br />

Approaches <strong>to</strong> manage biodiversity need <strong>to</strong> be adaptive in their management strategy. They need <strong>to</strong><br />

deal <strong>with</strong> the fact that some information may be lacking which in turn should not prevent action from<br />

being taken, e<strong>special</strong>ly if one knows enough about general trends and needs, in terms <strong>of</strong> habitat and<br />

so forth.<br />

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• Which criteria would be important for you, if you were <strong>to</strong> compare these <strong>approaches</strong>?<br />

Some <strong>of</strong> the most important aspects <strong>of</strong> any type <strong>of</strong> conservation endeavour are that it can actually be<br />

implemented; receive follow-up and follow-through for a reasonable amount <strong>of</strong> resources and<br />

capacity <strong>to</strong> use those resources. Thus, the <strong>approaches</strong> need <strong>to</strong> be practical. I would evaluate the<br />

extent <strong>of</strong> practicality <strong>of</strong> the approach, the extent the user can work <strong>with</strong> it. There is always a certain<br />

reliance on experts <strong>to</strong> interpret the <strong>approaches</strong>, so the amount <strong>to</strong> which the approach can be used by<br />

a combination <strong>of</strong> experts and more general practitioners and people <strong>with</strong> more general levels <strong>of</strong><br />

education is important. These are aspects <strong>of</strong> effectiveness which the approach needs <strong>to</strong> be built<br />

upon, so not just the assessment itself, but also the assessment <strong>of</strong> threats <strong>to</strong> biodiversity, the<br />

management responses <strong>to</strong> those threats or management preparation <strong>to</strong> unidentified threats, and<br />

then moni<strong>to</strong>ring. An effective approach is going <strong>to</strong> have a balance between assessment and<br />

identification, management and planning, moni<strong>to</strong>ring and evaluation and research. Those things<br />

need <strong>to</strong> be implemented over time, so the cost <strong>of</strong> any <strong>of</strong> these <strong>approaches</strong> should be considered in<br />

terms <strong>of</strong> how long they can be effective.<br />

There are a number <strong>of</strong> other criteria, in terms <strong>of</strong> how relevant the approach is, how scale dependent<br />

or driven the <strong>approaches</strong> are. Do the <strong>approaches</strong> allow one <strong>to</strong> look at a very discrete ecosystem unit<br />

or management unit and do they also consider the wider landscape? If one evaluates the landscape,<br />

then the finer scales should not be lost. The system has <strong>to</strong> be scale dependent.<br />

The <strong>approaches</strong> also need a temporal component. His<strong>to</strong>rical land-use, species abundance,<br />

populations or interactions, processes that change over time, processes <strong>of</strong> decline or increase in<br />

abundance, all need <strong>to</strong> be considered.<br />

Approaches need <strong>to</strong> lend themselves <strong>to</strong> a level <strong>of</strong> spatial representation. So that the approach either<br />

considers, evaluates or produces the spatially representative information and units.<br />

• Some <strong>of</strong> the first criteria you mentioned were practicality, manageablity and useability. Would<br />

you say these are all measures <strong>of</strong> efficiency? Or how would you best measure efficiency?<br />

I was hoping that those would be the type <strong>of</strong> criteria that would drive an effective approach, because<br />

if the approach is not user friendly or if it is <strong>to</strong>o demanding or <strong>to</strong>o archaic and complex, then it can<br />

only be used by a few experts at extremely high costs. Thus, resulting in limited impacts and utility<br />

and less effectiveness. Approaches implemented on a larger scale, in many parts <strong>of</strong> the world,<br />

across multiple landscapes, allow for applicability and allow one <strong>to</strong> learn from how the <strong>approaches</strong><br />

function in different countries and places.<br />

One does not want it <strong>to</strong> be so practical and user friendly that it throws ecological and wildlife science<br />

out the window, one still needs a high level <strong>of</strong> rigour and it has <strong>to</strong> be based on best understanding <strong>of</strong><br />

conservation science.<br />

• But all <strong>of</strong> these points will be fairly difficult <strong>to</strong> measure in actual figures?<br />

Yes, but that is the challenge <strong>with</strong> many things. One should say: if one cannot measure it, one<br />

cannot manage it; if you cannot measure it you cannot really tell if it is being effective or not; if it is<br />

having an impact or not. So obviously, the challenge around these general criteria is <strong>to</strong> come up <strong>with</strong><br />

some actual indica<strong>to</strong>rs <strong>to</strong> measure effectiveness and practicality. These would have <strong>to</strong> be boiled<br />

down <strong>to</strong>, for example, level <strong>of</strong> effort needed <strong>to</strong> conduct a biodiversity assessment in a landscape <strong>of</strong><br />

10 000; 100 000; 1 million hectares at various costs and various times. One could set up some sort<br />

<strong>of</strong> matrix: one would like the following approach <strong>to</strong> cost less than 100 000 or less than 1 million or<br />

less than 10 million and <strong>to</strong> be functioning for 1 year and less or between 1 and 5 years or between 5<br />

and 10 years. So one could try and incorporate measurable elements.<br />

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III<br />

Approaches & their requirements<br />

• A. Time: Could you give me an estimate <strong>of</strong> how long the HCV approach takes <strong>to</strong> be<br />

implemented?<br />

Field work: 7-14 days.<br />

Entire assessment: 2-4 weeks prior <strong>to</strong> and after field work for preparation, analysis, documentation<br />

and communication <strong>with</strong> other colleagues.<br />

• B. Cost: Could you give me an estimate <strong>of</strong> how much such an assessment would cost?<br />

I could suggest <strong>to</strong> you that for a large scale area, somewhere between 20,000 and 100,000 hectares,<br />

an HCV assessment will probably cost between 25,000 and 100,000 US$ depending on human<br />

resources required, consultants that are used, and data availability.<br />

This estimate will vary when performing the assessment <strong>with</strong> three <strong>to</strong> four local conservation biology<br />

technicians or researchers, rather than <strong>with</strong> international ones, because the pay scales are usually<br />

higher for international consultants.<br />

• C. Human Resources: How <strong>of</strong>ten have you been able <strong>to</strong> use non-expert users for an HCV<br />

assessment?<br />

Local assessors are used <strong>of</strong>ten. It is more frequent <strong>to</strong> mix teams, so one might have one senior<br />

consultant <strong>with</strong> 20-30 years <strong>of</strong> international experience, then a couple <strong>of</strong> people <strong>with</strong> less<br />

international experience and more local experience. If the company, for which the assessment is<br />

being conducted, is high pr<strong>of</strong>ile, <strong>with</strong> high visibility and lot <strong>of</strong> controversy around the operation, then a<br />

high level <strong>of</strong> pr<strong>of</strong>essionals on the assessment team will be required. But many countries have very<br />

good biologists and ecologists who are doing a lot <strong>of</strong> research. There are really good resources at<br />

the local level that are available. If one looks at the HCV Network there are a number <strong>of</strong> HCV<br />

assessments being conducted by local pr<strong>of</strong>essionals in various parts <strong>of</strong> the world<br />

• This will depend on the industry for which the assessment is being performed?<br />

Exactly, <strong>with</strong> high risk operations (paper mills for example) one really needs someone who can stand<br />

their ground and is able <strong>to</strong> assert their judgements. This person should not <strong>to</strong> bow <strong>to</strong> some sort <strong>of</strong><br />

pressure which may be the case <strong>with</strong> someone more junior or less experienced.<br />

• E. Purpose <strong>of</strong> the approach: How efficient is the HCV concept in conserving biodiversity?<br />

It is certainly having an impact on FSC certified forests. Various impact studies have looked at which<br />

types <strong>of</strong> changes are needed <strong>to</strong> take place in order for forest management units <strong>to</strong> get certified<br />

compared <strong>to</strong> the common level <strong>of</strong> practice. These studies show that about 60% <strong>of</strong> the evaluated<br />

certifications improved <strong>with</strong> respect <strong>to</strong> conservation planning, conservation management, the<br />

conserved area and so forth.<br />

It is worth doing more impact analysis, looking at which percentage <strong>of</strong> forest or area is conserved<br />

due <strong>to</strong> the changes made.<br />

What this means globally in terms <strong>of</strong> biodiversity, is a lot harder <strong>to</strong> determine. As one has <strong>to</strong> go<br />

beyond the boundaries <strong>of</strong> certified forests and look at where it lies in a particular watershed or a<br />

particular landscape. For instance, a certified forest in Indonesia <strong>of</strong>fers refuge <strong>to</strong> a great deal <strong>of</strong><br />

biodiversity values when the surrounding landscape units are being fragmented, converter or<br />

degraded. Thus, this forest becomes more significant and important as the surrounding area is<br />

fragmented. However, it also becomes harder and harder <strong>to</strong> support populations ranging from<br />

protected area <strong>to</strong> production area across the landscape. So the effectiveness <strong>of</strong> all these <strong>approaches</strong><br />

really needs <strong>to</strong> be taken <strong>to</strong> the landscape scale. HCV Network has for the past few years been<br />

working on <strong>to</strong>ols for evaluation at the landscape level.<br />

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• F. Certification: Do you think market based initiatives are more effective than governance<br />

based <strong>approaches</strong>?<br />

Both are needed. The market based <strong>approaches</strong> can have impacts on landscapes <strong>with</strong> a mosaic <strong>of</strong><br />

land-uses; agricultural production, managed forest either on an industrial scale or more on a<br />

community scale. The market can have a significant influence <strong>with</strong> certain players that have a very<br />

deep supply chain and affect a large portion <strong>of</strong> the landscape. If one is able <strong>to</strong> convince large<br />

companies <strong>to</strong> change their practices <strong>to</strong> incorporate conservation, then the area <strong>of</strong> conserved HCV<br />

forest would probably be far more. However, the effectiveness <strong>of</strong> holding those companies <strong>to</strong><br />

respecting and completing legitimate HCV assessments and actually implementing the assessments<br />

<strong>to</strong> protect natural habitats is not particularly effective. But the Indonesian government has not been<br />

any more effective because they have created, through licensing and land-use planning,<br />

opportunities for these large companies <strong>to</strong> open up new concessions in regions <strong>of</strong> natural forest <strong>with</strong><br />

rich biodiversity. Both market based and government initiatives are required for the field <strong>of</strong><br />

conservation planning. HCV and some <strong>of</strong> the other <strong>approaches</strong> are fairly useful in terms <strong>of</strong> land-use<br />

or landscape level planning. It could help <strong>to</strong> allocate land-uses in a way that places biodiversity<br />

conservation in a much higher level <strong>of</strong> priority than it has been. The market is only going <strong>to</strong> be<br />

effective where supply chains exist and <strong>with</strong> companies wanting their products being produced in a<br />

more sustainable way. Much influence already exists in the production in c<strong>of</strong>fee, cocoa, tea, bananas<br />

and other crops. Here the companies managing the plantations or purchasing the crop from the<br />

grower were concerned <strong>with</strong> sustainability standards. So they have actually set targets for their<br />

producers and their production units <strong>to</strong> be met in terms <strong>of</strong> certification which has caused an increase<br />

in the level <strong>of</strong> available certified products. The overall result is that certified farms are better for the<br />

environment. They contain more conservation units. They retain more biological legacies in terms <strong>of</strong><br />

remnant vegetation, remnant forest cover, remnant riparian zones. They also impact workers and<br />

their families. Market based <strong>approaches</strong> result in more forest area being conserved <strong>with</strong>in the<br />

productive landscape than otherwise would have been. But this is still just reaching out <strong>to</strong> a small<br />

section <strong>of</strong> the <strong>to</strong>tal global economic trade and there are a lot <strong>of</strong> commodity crops and commodity<br />

products that have yet <strong>to</strong> be influenced by the market in way that really makes a difference. This is<br />

the challenge. If these market initiatives are going <strong>to</strong> be successful, then they must address some <strong>of</strong><br />

these major commodity crops which lead <strong>to</strong> the conversion <strong>of</strong> ecosystems; deforestation and so on.<br />

It is not necessarily that certified products have <strong>to</strong> have a higher price. But there does need <strong>to</strong> be a<br />

demand and this needs <strong>to</strong> be influential enough <strong>to</strong> be significant and therefore make an impact.<br />

The other element is that these certification programmes and standards can be an opportunity for<br />

government led programmes and government regulations <strong>to</strong> be more robust and <strong>to</strong> take the lead<br />

from these standards and incorporate the requirements in<strong>to</strong> new legislation or new programmes.<br />

IV<br />

Summary, evaluation & outlook<br />

• How meaningful can <strong>approaches</strong> used for identification <strong>of</strong> biodiversity relevant <strong>areas</strong> be for<br />

biodiversity conservation at all?<br />

I do not really know the extent <strong>to</strong> which we have mapped out the high biodiversity regions <strong>of</strong> the<br />

world. My general sense <strong>of</strong> the issue is that we probably have a fairly good idea <strong>of</strong> the relative<br />

<strong>importance</strong> <strong>of</strong> ecosystems around the globe. More challenging is <strong>to</strong> determine where the resources<br />

should go, how they should be allocated and what should be done <strong>with</strong> them. We have enough<br />

coverage on a global level in terms <strong>of</strong> what we know. So it is a different issue, I think.<br />

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• Are there any further points you would like <strong>to</strong> add?<br />

My sense is that all <strong>of</strong> these <strong>approaches</strong> can be effective <strong>to</strong>ols for biodiversity conservation. The real<br />

challenges go back <strong>to</strong> issues related <strong>to</strong> poverty and land-use planning, forest governance and the will<br />

<strong>of</strong> countries <strong>to</strong> respect conservation plans and prioritize <strong>with</strong>in their own development agendas. The<br />

urgency due <strong>to</strong> climate change is an even greater challenge. We are losing habitat which causes<br />

climate change and as climate change gets more severe, the species <strong>with</strong>in those habitats and the<br />

habitats themselves are threatened <strong>with</strong> extinction or the need <strong>to</strong> move. So the urgency lies not only<br />

in working <strong>to</strong>wards saving <strong>areas</strong> <strong>of</strong> biological significance, but also in confronting the challenges <strong>of</strong><br />

predicting how these <strong>areas</strong> will adapt <strong>to</strong> climate change. That is very challenging, so coming up <strong>with</strong><br />

emergency funding programmes <strong>to</strong> address climate change is <strong>of</strong> utmost <strong>importance</strong>. While some<br />

conservation biologists may say that this climate issue has taken away funding <strong>of</strong> resources that<br />

would have otherwise been allocated <strong>to</strong> them we should recognize that if we do not solve this greater<br />

planetary problem, then biodiversity will not have much chance in surviving.<br />

The financial resources being discussed need <strong>to</strong> be allocated <strong>to</strong> projects looking for a whole suit <strong>of</strong><br />

solutions <strong>to</strong> promote sustainable development. These are more likely <strong>to</strong> be community based types<br />

<strong>of</strong> management structures or more integrated types <strong>of</strong> agriculture. There are a lot <strong>of</strong> different projects<br />

that can be financed <strong>with</strong> the resources generated for solving climate change.<br />

Moving <strong>to</strong> a decarbonised or low carbon economy can help <strong>to</strong> stimulate innovation and not just in<br />

terms <strong>of</strong> machines, buildings and energy production, but also in changing management structures for<br />

agricultural landscapes, forests and so on.<br />

This is a long term challenge. A green economy will not be created overnight. Innovation that is more<br />

sustainable will not be implemented over night either, so it is something that should be worked on<br />

over the span <strong>of</strong> the next 20-50 years.<br />

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A4-12 Interview Partner L<br />

II<br />

Approaches & their characteristics<br />

Which <strong>approaches</strong> do you know?<br />

Environmental impact assessments, the HCV approach and many variations there<strong>of</strong>. One can also<br />

just map fauna and flora.<br />

In the framework <strong>of</strong> FSC many <strong>of</strong> these <strong>approaches</strong> were used and <strong>of</strong>ten also modified.<br />

• How would you best measure the efficiency <strong>of</strong> these <strong>approaches</strong>?<br />

That really depends on the region <strong>of</strong> interest and the level <strong>of</strong> biodiversity one is interested in. The<br />

method implemented depends completely on the region <strong>of</strong> interest. So the region dictates whether an<br />

EIA, an HCV, a GAP analysis or a mapping exercise is chosen. In addition, the choice <strong>of</strong> approach<br />

also depends on the amount <strong>of</strong> available data. With regard <strong>to</strong> this aspect, it is better <strong>to</strong> choose one <strong>of</strong><br />

the existing <strong>approaches</strong>.<br />

• Would you reduce the measurement <strong>of</strong> efficiency <strong>to</strong> a few individual fac<strong>to</strong>rs? Such as cost,<br />

time or size <strong>of</strong> a set-aside area.<br />

Of course. The size <strong>of</strong> a set-aside area depends on many different fac<strong>to</strong>rs, but cost, efficiency and<br />

available time are always driving fac<strong>to</strong>rs <strong>of</strong> any approach. Of course, mapping can be an excellent<br />

choice, as it provides better data. It is however, extremely intensive. If time and resources (money<br />

and personnel) are insufficient for a field survey, then a panel <strong>of</strong> experts can also be used. These<br />

should preferably be local, <strong>with</strong> some knowledge <strong>of</strong> the study area. Thus, the inven<strong>to</strong>ry could be<br />

based on expert knowledge. These criteria are always the driving fac<strong>to</strong>rs.<br />

When comparing an EIA, HCV and mapping, all three can be performed <strong>with</strong> an extremely long field<br />

survey and very intensive research. However, all <strong>of</strong> the <strong>approaches</strong> can also be based on expert<br />

knowledge, which will take far less time. A workshop or survey <strong>of</strong> local experts can be completed<br />

<strong>with</strong>in a few months, depending on the location <strong>of</strong> the area and its access. For instance, in Europe<br />

this would not pose a problem and the approach could be implemented very quickly. In less<br />

accessible <strong>areas</strong> local experts can help speed up the process using indirect indica<strong>to</strong>rs, such as the<br />

trade <strong>of</strong> plant and animal products at local markets. This always provides a fairly good overview <strong>of</strong><br />

what actually exists in any area. So the available resources will always dictate the method <strong>of</strong><br />

implementation <strong>of</strong> any approach.<br />

The <strong>approaches</strong> will not be any better or worse due <strong>to</strong> differences in implementation. Many years in<br />

the field collecting data does not necessarily guarantee a more efficient outcome.<br />

The goal <strong>of</strong> the project will determine which approach is chosen. For instance, in the case <strong>of</strong> trying <strong>to</strong><br />

gather political support, the HCV concept would possibly be a good choice, as it already has much<br />

political support. However, in the case <strong>of</strong> trying <strong>to</strong> obtain university support, intensive field surveys<br />

over several years using students, in order <strong>to</strong> meet the high scientific requirements, would be a better<br />

option. Expert surveys and estimates will never be sufficiently scientific for universities. If aiming <strong>to</strong><br />

work <strong>with</strong> industry or the finance sec<strong>to</strong>r, for example, then an EIA (or SEIA as it is called these days)<br />

would be the appropriate choice.<br />

So which approach is used really depends on the goal <strong>of</strong> the project. The methodology implemented<br />

will also change according <strong>to</strong> the goal. When aiming for political consensus or political education,<br />

then stakeholder participation should really be included in the process. Therefore, it is always<br />

important <strong>to</strong> first look at the context.<br />

In addition <strong>to</strong> the HCV concept, FSC has always used other <strong>approaches</strong>, even though the FSC<br />

developed the HCV concept. The rationale behind this was that the context dictates the choice <strong>of</strong><br />

approach. The approach should always be chosen <strong>to</strong> obtain the required results.<br />

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A4-INTERVIEW PARTNER L<br />

First one should establish what the required results are, for whom they are needed, which results<br />

have more credibility and then one should find out which resources are available. Then only can an<br />

approach be constructed <strong>to</strong> fit these needs. Never commit oneself <strong>to</strong> a single approach. In reality,<br />

one approach is not better than another. If the financial resources for mapping are not available, then<br />

there is no point in starting the exercise, as it would be a complete waste <strong>of</strong> money. It is also not<br />

useful <strong>to</strong> try and perform scientific statistics using data from an HCV assessment <strong>with</strong> numerous<br />

stakeholder contributions.<br />

• How efficient are market based initiatives for biodiversity conservation?<br />

They are extremely effective where they take hold, because they place a value on biodiversity. As<br />

soon as a value is assigned, people support and implement conservation.<br />

For example, if the Berchtesgaden National Park lost it protection status, a small <strong>to</strong> medium size<br />

revolution would probably ensue, as people live exceptionally well <strong>of</strong>f the park. Thus, there is no<br />

interest <strong>to</strong> give up this protection in any way, as it has a value <strong>to</strong> the local communities. The same<br />

applies <strong>to</strong> the Bavarian Forest.<br />

We have seen the same in other <strong>areas</strong> as well, even <strong>with</strong> different financial advantages such as<br />

timber production which does not necessarily mean that biodiversity is harmed or compromised. In<br />

timber production, the area can definitely be used in such a way that conservation <strong>of</strong> biodiversity<br />

becomes attractive. Very few societies can afford <strong>to</strong> protect biodiversity solely for ethical reasons<br />

<strong>with</strong>out financial advantage.<br />

For instance, in the Congo Basin, DRC the basic needs <strong>of</strong> the inhabitants, if not satisfied, will prevent<br />

the conservation <strong>of</strong> biodiversity. Only through human needs, has a necessity arisen <strong>to</strong> protect<br />

biodiversity. Thus, human needs must first be addressed and then only can biodiversity conservation<br />

be tackled.<br />

For FSC certification, Congo Basin concessions have invested millions for the establishment <strong>of</strong><br />

management plans. They have set aside over 30% for the conservation <strong>of</strong> biodiversity and/ or social<br />

aspects. Without a market advantage, no concession would do this. Due <strong>to</strong> certification the cost <strong>of</strong> a<br />

management plan doubles, perhaps even triples. This is paid for by the concessions themselves.<br />

After they have received certification, these concessions receive twice the price for their timber. So it<br />

is definitely worth their while. These examples exist in Africa, Latin America, Russia and, <strong>to</strong> a lesser<br />

extent, in Asia, because the FSC system is not as widespread in South East Asia. Similar results can<br />

probably be obtained in Indonesia and Malaysia.<br />

• How <strong>of</strong>ten are new certificates issued under FSC?<br />

A certificate is always valid for 5 years. At the beginning a large audit is performed and then every<br />

year a smaller less intensive audit must be undertaken. Thus, concessions are checked on an annual<br />

basis. After 5 years another large audit is performed. The audits are implemented by independent<br />

accredited organisations.<br />

• I have heard that these auditing company personnel are not necessarily well trained which<br />

<strong>of</strong>ten results in problems from an ecological point <strong>of</strong> view i.e. these audits should be more<br />

stringent.<br />

That really depends on the viewpoint. Talking <strong>to</strong> a fundamental conservationist, this argument will<br />

always arise. However, talking <strong>to</strong> a sociologist, the social aspect will be placed above ecology in<br />

terms <strong>of</strong> its <strong>importance</strong>. If the social aspects are addressed, then conservation is not required<br />

anymore, as people's needs are addressed. In contrast, industry will comment that they only play this<br />

game as their product receives a higher price, but the ecological and social aspects are in reality<br />

<strong>to</strong>tally absurd. Thus, the three different perspectives will produce three very different opinions. The<br />

HCV concept tries <strong>to</strong> balance these three opinions in order <strong>to</strong> find a denomina<strong>to</strong>r. Obviously, the<br />

common denomina<strong>to</strong>r will not be the optimum for anyone <strong>of</strong> the three interest groups. If one looks at<br />

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APPENDIX<br />

all FSC certificates (worldwide 14,000-15,000) and looks where any problems, complaints or<br />

critiques arose, then this will be considerably less than 5%. Therefore, this is a fairly good system<br />

where all three aspects are addressed. Again, the context always needs <strong>to</strong> be looked at. From a<br />

forester's stand point an HCV forest will always need some improvements, but improvements could<br />

also be made for the economic or social aspect as well. Biodiversity conservation needs <strong>to</strong> be<br />

economically viable, if not, it will be dependent on donations from developed countries. Every local<br />

population is very pragmatic, <strong>with</strong> short term thoughts on short term advantages. This short term<br />

material way <strong>of</strong> thinking is even more distinct, when it is primarily about food, health and education. If<br />

someone says there is a more efficient way <strong>of</strong> meeting these needs which is perhaps less long term,<br />

but more efficient, by helping cut down a forest, then that person will not be turned away. So, if better<br />

opportunities in addressing these needs can be found <strong>with</strong>out devastating the forest, then<br />

biodiversity can also be conserved.<br />

III<br />

Approaches & their requirements<br />

• F. Certification: How would you assess market based initiatives in comparison <strong>to</strong> classical<br />

protected <strong>areas</strong>?<br />

This again depends on the context. But market based initiatives are at least just as effective as<br />

classical protected <strong>areas</strong>. Market based initiatives do not necessarily mean only timber production; it<br />

can also mean <strong>to</strong>urist initiatives, such as in the Berchtesgaden National Park where more money is<br />

earned these days through <strong>to</strong>urism, than previously through forestry and mountain farming. The large<br />

national parks in the USA or in Southern Africa (Kruger National Park) earn a lot <strong>of</strong> money through<br />

<strong>to</strong>urism. From my point <strong>of</strong> view, economic use must always go hand in hand <strong>with</strong> good conservation<br />

strategies.<br />

• So you would not separate the two, but instead, for a protected area <strong>to</strong> exist, economic<br />

initiatives must be present?<br />

Yes, <strong>to</strong> be effective in conserving or maintaining the present values.<br />

Without market based initiatives, people tend <strong>to</strong> lose interest very quickly. Look at the protected<br />

<strong>areas</strong> in Germany, those supported by economic initiatives such as national parks, national reserves<br />

and biosphere reserves are predominantly very successful. In contrast, the nature sanctuaries <strong>with</strong><br />

<strong>to</strong>tal protection have been completely forgotten. They have not <strong>of</strong>ten been mapped nationally, as this<br />

has rather been left <strong>to</strong> the individual states. Public awareness needs <strong>to</strong> be raised and this is best<br />

done through the economy.<br />

IV<br />

Summary, evaluation & outlook<br />

• How meaningful can <strong>approaches</strong> used for identification <strong>of</strong> biodiversity relevant <strong>areas</strong> be for<br />

conservation?<br />

Extremely meaningful, we have no idea what will happen if we risk biodiversity. It is as if one burnt<br />

the Washing<strong>to</strong>n congressional library down, <strong>with</strong>out having read it. The last 100 years have shown<br />

the <strong>importance</strong> <strong>of</strong> biodiversity. Biodiversity is extremely important and it can be assumed that there is<br />

still much <strong>to</strong> be learnt about biodiversity and how <strong>to</strong> utilise it further. The destruction <strong>of</strong> biodiversity<br />

would be extremely irresponsible <strong>to</strong>wards future generations. Therefore, identification is very<br />

meaningful and necessary. The next question is where are the incentives for society <strong>to</strong> prioritise this<br />

issue and <strong>to</strong> sustain it permanently.<br />

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A4-INTERVIEW PARTNER M<br />

A4-13 Interview Partner M<br />

II<br />

Approaches & their characteristics<br />

• Which <strong>approaches</strong> do you know?<br />

The KBA approach - the whole philosophy behind this approach is based upon providing a unified<br />

umbrella across numerous, more specific taxon based <strong>approaches</strong> <strong>to</strong> <strong>identify</strong> important sites for<br />

biodiversity conservation. So, the drive behind the development <strong>of</strong> the KBA approach has come from<br />

asking how <strong>to</strong> bring <strong>to</strong>gether data from IBA, IPA, as well as important mammal, amphibian, marine<br />

and freshwater <strong>areas</strong> <strong>to</strong> form a common framework.<br />

• Could you describe any strengths or weaknesses for the KBA approach?<br />

The beauty <strong>of</strong> the KBA approach is that it links a bot<strong>to</strong>m-up ownership and process identification by<br />

people <strong>with</strong> global standards and criteria. The identification <strong>of</strong> all KBA is implemented at national,<br />

sub-national and regional levels. The resulting template <strong>of</strong> site-level conservation targets therefore,<br />

has national, regional and local relevance and ownership <strong>to</strong>gether <strong>with</strong> global approval and<br />

validation.<br />

The spatial units <strong>of</strong> the KBA approach are land-management units. Thus, they are <strong>areas</strong> that actually<br />

are or can be suitably managed for conservation on the ground through either the management <strong>of</strong><br />

protected <strong>areas</strong> or other appropriate measures. Therefore, they have high conservation relevance. In<br />

this light, the KBA approach can be differentiated from, for example, the academic development <strong>of</strong><br />

systematic conservation planning. The latter focuses, in theory, on the identification <strong>of</strong> grid cells and<br />

spatial units <strong>of</strong> cells across a grid. This brings analytic rigour, however, lacks relevance for<br />

conservation on the ground. These techniques and <strong>approaches</strong> come <strong>to</strong>gether through the use <strong>of</strong> the<br />

same kind algorithms developed by systematic conservation planning for prioritising important sites.<br />

This can be applied <strong>to</strong> support the prioritisation <strong>of</strong> KBA. So the <strong>approaches</strong> come <strong>to</strong>gether at the<br />

level <strong>of</strong> prioritisation. In terms <strong>of</strong> the underlining spatial units, one <strong>of</strong> the great strengths <strong>of</strong> the KBA<br />

approach is that it provides conservation relevance.<br />

A further strength which draws from this link between local relevance and global approval, is that<br />

whole spectrum <strong>of</strong> society is involved. For example, the KBA approach is very powerful when looking<br />

at the site level through the establishment <strong>of</strong> local groups and civil societies for mobilising local pride<br />

and ownership.<br />

The approach is very powerful in informing local and national governments for support <strong>of</strong> national<br />

GAP analysis commitments.<br />

It also resonates well <strong>with</strong> the private sec<strong>to</strong>r as many corporations are concerned <strong>with</strong> protecting<br />

themselves from public relations risks. The KBA approach provides very powerful and upfront<br />

information, a powerful watch list <strong>of</strong> sites where investment could be made by the private sec<strong>to</strong>r. For<br />

example, where extractive industries could under extreme caution start development.<br />

Finally, the approach is powerful and resonates well <strong>with</strong> institutional industries. Both the private<br />

sec<strong>to</strong>r and intergovernmental agencies have over the last few years been successful developing and<br />

making standardised <strong>to</strong>ols available <strong>to</strong> everyone. The best example is called the IBAT <strong>to</strong>ol.<br />

One caveat is that it is important not <strong>to</strong> give the impression that KBA are the only solution <strong>to</strong><br />

biodiversity conservation. KBA are one <strong>to</strong>ol in a <strong>to</strong>olbox <strong>of</strong> <strong>approaches</strong> necessary for conservation.<br />

They should always be complimented <strong>with</strong> conservation activities focusing at other scales where<br />

biodiversity threats also exist. For example, site-based conservation <strong>approaches</strong> should be<br />

complimented by species-based conservation <strong>approaches</strong> that tackle species specific threats <strong>to</strong><br />

biodiversity, such as hunting and disease. They should also be complimented by landscape or seescape<br />

level <strong>approaches</strong>, broad regional <strong>approaches</strong>, corridor <strong>approaches</strong>, ecoregion <strong>approaches</strong> <strong>to</strong><br />

ensure the conservation <strong>of</strong> broad-scale ecological processes. This should result not just in the<br />

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representation <strong>of</strong> biodiversity, but also in its persistence. So the site-level KBA approach does not<br />

claim <strong>to</strong> solve all conservation problems.<br />

Another point which is important <strong>to</strong> highlight is the opening rational <strong>of</strong> biodiversity conservation. The<br />

predominant threat <strong>to</strong> most biodiversity is the destruction <strong>of</strong> habitat. Given that is the case, the logical<br />

response and the first line in biodiversity conservation, therefore, needs <strong>to</strong> be the safeguarding <strong>of</strong><br />

biodiversity relevant places by preventing habitat destruction. In terms <strong>of</strong> conservation tactics this<br />

has been implemented for many centuries as the approach <strong>of</strong> protected <strong>areas</strong>. The actual<br />

government mechanism protecting an area can and should vary. For example, national parks could<br />

be appropriate in one place, but for another place it may be far more appropriate for an important site<br />

<strong>to</strong> lie in the hands <strong>of</strong> a local group. The important thing is that the site is managed in such a way that<br />

is consistent <strong>with</strong> maintaining biodiversity.<br />

• As an estimate, how large are the KBA sites?<br />

Maximum and minimum sizes are generally not specified. Obviously for any given region an average<br />

emerges as site identification progresses. However the delineation <strong>of</strong> KBA is driven by what is<br />

manageable for conservation on the ground <strong>with</strong>in a given social and political context. This means<br />

that there is no maximum or minimum threshold on site size. It means that the size <strong>of</strong> KBA vary<br />

across 7 order <strong>of</strong> magnitude. There are some examples <strong>of</strong> tiny KBA all the way through <strong>to</strong> extremely<br />

large KBA such as <strong>of</strong> the huge protected <strong>areas</strong> in Africa and in the Artic. Thus, there is no single<br />

threshold for maximum and minimum size and the average size varies quiet widely depending on the<br />

environmental and social context. So <strong>to</strong> give an example, in some heavily developed regions, for<br />

instance in Europe or in hotspot type regions in the tropics high levels <strong>of</strong> habitat land conversion or<br />

high levels <strong>of</strong> agricultural input, the KBA will tend <strong>to</strong> be quiet small. Some <strong>of</strong> them may be very small,<br />

as they are guided by where the remaining fragments <strong>of</strong> natural habitat persist. This <strong>of</strong>ten is where<br />

there are some kind <strong>of</strong> existing protected <strong>areas</strong>. At the other end <strong>of</strong> the scale wilderness type regions<br />

exist. For example, in the woodlands <strong>of</strong> central Southern Africa, the Amazon or the Arctic where<br />

human development has been much less intense, the delineation <strong>of</strong> KBA will tend <strong>to</strong> be at a much<br />

broader extent and be guided by potential manageability, e<strong>special</strong>ly aligning <strong>with</strong> either the mayor<br />

existing protected <strong>areas</strong> or tribal lands.<br />

So there is no single size.<br />

• How would you best measure the efficiency <strong>of</strong> the KBA approach?<br />

There is a lot <strong>of</strong> work, fairly far progressed, being done <strong>with</strong> regard <strong>to</strong> moni<strong>to</strong>ring the effectiveness <strong>of</strong><br />

conservation across KBA.<br />

Because KBA are initially identified and in general conserved bot<strong>to</strong>m-up, very <strong>of</strong>ten from the local<br />

and certainly from the national level, the question <strong>of</strong> efficiency is not really relevant. There is no<br />

single global stamp stating which site will provide the ‘biggest bang for buck’. Given that the primary<br />

focus in implementation is bot<strong>to</strong>m-up, efficiency at the level <strong>of</strong> the entire system is much less <strong>of</strong> a<br />

concern. It is, however, still a concern as KBA are used by some organisations involved in global<br />

mapping. This also includes the private sec<strong>to</strong>r and intergovernmental organisations. It is probably<br />

accurate <strong>to</strong> say that organisations <strong>with</strong> a global mandate are a relatively small portion <strong>of</strong> the<br />

constituency <strong>of</strong> the KBA approach. The fact that the identification <strong>of</strong> KBA follows global standard<br />

criteria means that it is possible <strong>to</strong> compare them across the entire framework. So, in theory, other<br />

organisations could compare the effectiveness relative <strong>to</strong> cost, for example, in investments in<br />

conservation in the Philippines relative <strong>to</strong> those in Mexico. But the units become sites, rather than<br />

hectares, so the units <strong>of</strong> conservation are the KBA themselves as opposed <strong>to</strong> areal measurements.<br />

In terms <strong>of</strong> moni<strong>to</strong>ring the effectiveness <strong>of</strong> intervention, there are fairly extensive sets <strong>of</strong> effort<br />

underway <strong>with</strong>in the Birdlife International partnerships. These are probably the most advanced in<br />

moni<strong>to</strong>ring biodiversity and biodiversity conservation <strong>with</strong>in KBA. The important points: firstly,<br />

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moni<strong>to</strong>ring may follow a broad framework <strong>of</strong> pressure-response and benefit. Secondly, and probably<br />

the norm, the framework develops measures <strong>of</strong> trends for the biodiversity for which the site is<br />

important. For instance, measures <strong>of</strong> what is happening <strong>to</strong> biodiversity threats, in particular in the<br />

range <strong>of</strong> habitat destruction. Thirdly, where do things stand in terms <strong>of</strong> the implication <strong>of</strong> conservation<br />

<strong>of</strong> a site, protected area status, education initiatives around the site, etc. And finally, what is the flow<br />

<strong>of</strong> benefits <strong>of</strong> conservation <strong>of</strong> the site and the biodiversity for which it is important at different scales.<br />

For instance, these flows <strong>of</strong> benefits range from the transfer <strong>of</strong> protected area entrance fees in<strong>to</strong><br />

local communities, <strong>to</strong> avoiding carbon emissions from deforestation, therefore contributing <strong>to</strong><br />

mitigating climate change.<br />

This is important, as the speed at which these indica<strong>to</strong>rs move varies widely across the four<br />

categories. So, some benefits start <strong>to</strong> flow very quickly, and some are flowing already, as<br />

conservation activities get implemented. However, other conservation actions require considerably<br />

longer <strong>to</strong> start influencing threat mitigation. It takes even longer for those mitigated threats <strong>to</strong><br />

translate in<strong>to</strong> biodiversity conservation. Thus, one can think <strong>of</strong> these as cons relative <strong>to</strong> each other,<br />

<strong>with</strong> the benefits pieces moving quickly and the biodiversity pieces moving slowly.<br />

The other important advantage <strong>of</strong> the moni<strong>to</strong>ring framework is that it can be implemented at different<br />

scales. So depending on for whom and in whose interest the moni<strong>to</strong>ring is being implemented<br />

(whether it is a national government or the World Bank), different levels <strong>of</strong> precision require<br />

emphasis. For example, some sites may have particularly heavy investments from a national<br />

government or an intergovernmental agency for moni<strong>to</strong>ring actual species on the ground or for socioeconomic<br />

surveys <strong>with</strong>in the wider landscape. At the other end <strong>of</strong> the scale, where data is much<br />

sparser, but <strong>with</strong> some data through the use <strong>of</strong> remote sensing, although much coarser in resolution,<br />

the progress <strong>of</strong> biodiversity conservation at those sites can nevertheless be informing.<br />

III<br />

Approaches & their requirements<br />

• A. Time: How much time is required for the identification <strong>of</strong> KBA?<br />

As <strong>with</strong> the question <strong>of</strong> size, this varies widely. Primarily, based on local capacity. The approach is<br />

bot<strong>to</strong>m-up and therefore, while it is important that the process be nested <strong>with</strong>in and owned by local<br />

and national institutions, it takes longer than it would, if it were purely <strong>to</strong>p-down. This is the basis <strong>of</strong><br />

the sustainability <strong>of</strong> conservation efforts, there being approval at local level.<br />

On average, across the regions, where we have supported KBA identification over the last decade, 3<br />

years is about average. Some cases may be faster. The general opinion is that this is probably faster<br />

than it should be, because the most effective processes have been those involving extensive field<br />

surveys prior <strong>to</strong> identification. This is something Birdlife International has been very effective in<br />

supporting. As we have moved from identification <strong>of</strong> important sites for birds <strong>to</strong> important sites for<br />

biodiversity, generally, very <strong>of</strong>ten because <strong>of</strong> the particular structure through which the identification<br />

<strong>of</strong> KBA has been funded, we have not had the luxury <strong>of</strong> incorporating these field work components.<br />

So the identification process has been solely based on literature, museum specimens and remotely<br />

sensed data which in my opinion is a weakness. The ideal time is rather longer. Associated <strong>with</strong> this,<br />

there is no expectation that the process be completed <strong>with</strong> the support <strong>of</strong> KBA identification. It should<br />

rather be an iterative process that continues on in<strong>to</strong> the future. E<strong>special</strong>ly when looking at the points<br />

discussed earlier about the <strong>importance</strong> <strong>of</strong> KBA being sites that should be managed for biodiversity<br />

conservation, the identification <strong>of</strong> sites should be flexible in<strong>to</strong> the future, as land-use patterns change<br />

as habitat destruction progresses and as underlying data and datasets change. At the moment work<br />

is being performed in close collaboration <strong>with</strong> the IUCN on local freshwater and global marine<br />

assessments. The large data sets that emerge from the IUCN will aid in the identification <strong>of</strong> many<br />

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new KBA in aquatic biomes where not many important sites have been identified <strong>to</strong> date. While the<br />

process can reach a persistent baseline <strong>with</strong>in a couple <strong>of</strong> years, it will run on at a low level in<strong>to</strong> the<br />

future.<br />

• B. Cost: As an estimate, how much does the identification process cost?<br />

This question is difficult <strong>to</strong> answer. There are a lot <strong>of</strong> different components <strong>to</strong> the KBA process. The<br />

core underpinning <strong>of</strong> the KBA approach lies in decades or even centuries <strong>of</strong> collecting biodiversity<br />

data. This being further assessed through the process <strong>of</strong> extinction risk and evaluation by the<br />

concept <strong>of</strong> the IUCN <strong>of</strong> threatened species. This, in itself, is a substantial process. Then the next<br />

step; the identification <strong>of</strong> baseline KBA themselves which has been the focus <strong>of</strong> this conversation.<br />

There is prioritisation which is the process <strong>of</strong> not just <strong>identify</strong>ing the full set <strong>of</strong> KBA, but also which<br />

sites should be targets for the most urgent conservation actions. Finally, and critically there is the<br />

implementation <strong>of</strong> conservation at the sites and subsequent moni<strong>to</strong>ring which will inevitably be the<br />

most resource intensive in the entire process.<br />

So, we are relatively hesitant <strong>to</strong> focus on the identification phase <strong>to</strong> the exclusion <strong>of</strong> that full cycle.<br />

There is no point in identification, if it does not support implementation.<br />

The KBA identification phase for about 10 regions has on average cost approximately 1000<br />

US$/KBA. Therefore, for a country or region containing 50 KBA, the cost would be in the order <strong>of</strong><br />

50,000$. To put this in perspective, Birdlife International has identified and estimates the<br />

identification <strong>of</strong> about 10,000 IBA worldwide. The anticipation for KBA on land (i.e. incorporating data<br />

from other terrestrial taxa) is that the <strong>to</strong>tal number <strong>of</strong> KBA will be about double that, likely about<br />

20,000. As the process is not yet completed, it is difficult <strong>to</strong> be precise. There will definitely be many<br />

more sites in the marine and freshwater environments, but presently we do not have an estimate <strong>of</strong><br />

this.<br />

International organisations support the identification process through fundraising. They also support<br />

the scientific process through access <strong>to</strong> literature, such as biodiversity databases, remote sensing<br />

data, etc. However, it is absolutely key for the process <strong>to</strong> be embedded <strong>with</strong>in national institutions. In<br />

most cases these are civil society institutions, so there is <strong>of</strong>ten considerable CI involvement, through<br />

local branches rather than the global institution.<br />

• C. Human Resources: Can non-<strong>special</strong>ist users aid in the identification process?<br />

Again it depends very much on local capacity. The typical way in which KBA processes have<br />

proceeded over the last decade or so is that they have been convened, <strong>with</strong>in countries, by teams <strong>of</strong><br />

about 3-6 people for data compilation and organisation. That data is then fed in<strong>to</strong> expert review<br />

workshops for validation and correction. So, it is fair <strong>to</strong> say that a relatively small number <strong>of</strong><br />

pr<strong>of</strong>essionals are involved in organising and managing the process, but then a much broader<br />

community comes <strong>to</strong> the table for reviewing and participation.<br />

But the expert review would not be through paid consultancies. We try quite hard <strong>to</strong> avoid one size<br />

fits all solutions. The single aspect which we strive <strong>to</strong> maintain is the global standards criteria<br />

underlining all KBA. In contrast, the actual process for KBA identification and conservation will vary<br />

enormously around the world. So there is no desire <strong>to</strong> impose a single approach on fac<strong>to</strong>rs such as<br />

cost, human resource requirements etc.<br />

• These species based thresholds which are globally set can pose problems in biodiverse <strong>areas</strong>,<br />

as entire countries should be designated KBA according <strong>to</strong> the strict global standards and<br />

criteria.<br />

That is a fair concern. It is fair <strong>to</strong> say that the exact level at which thresholds have been set (even the<br />

structure <strong>of</strong> the criteria) is a work in progress. But it is correct that it is important that the global<br />

thresholds be set so that the approach has appropriate relevance <strong>with</strong>in a national context. This<br />

works in both directions, both in biodiverse rich <strong>areas</strong> (such as Indonesia) where it is important that<br />

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the approach highlights sites that are particularly important and not <strong>to</strong> <strong>identify</strong> the entire country,<br />

e<strong>special</strong>ly since this is already known. In biodiverse poorer regions (for example Germany) it is<br />

important for national relevance that the approach is also sensitive enough <strong>to</strong> <strong>identify</strong> those sites that<br />

have significance. There is a balancing act that requires continuous attention at the levels <strong>of</strong><br />

thresholds <strong>with</strong>in the global criteria. Given the fact that the process has been underway for 30 years<br />

now and in particular focused on the incorporation <strong>of</strong> biodiversity beyond birds for 10 years, it is fair<br />

<strong>to</strong> say that considerable progress in converging appropriate criteria and thresholds has been made.<br />

This is, however, not yet complete.<br />

The congregation criteria <strong>identify</strong> sites not at the species level, but rather the concentration <strong>of</strong> large<br />

numbers <strong>of</strong> a given species at a given time. This applies <strong>to</strong> migra<strong>to</strong>ry species. It has become clear<br />

that the application <strong>of</strong> this criterion, in particular in the marine environment, is problematic at the<br />

moment. Very large concentrations <strong>of</strong> some marine species (eg. the green turtle) exist, but in terms<br />

<strong>of</strong> the global population this congregation is still fairly small. There are some continuing <strong>areas</strong> <strong>of</strong><br />

testing and refinement necessary for some aspects <strong>of</strong> this criterion.<br />

IV<br />

Summary, evaluation & outlook<br />

• How meaningful can <strong>approaches</strong> used for identification <strong>of</strong> biodiversity relevant <strong>areas</strong> be for<br />

conservation?<br />

Try <strong>to</strong> avoid the term efficiency. In general, efficiency is a fairly misleading concept in conservation<br />

terms. It is obviously important when looking from the perspective <strong>of</strong> an individual organisation, but it<br />

leaves the impression that there is a single global conservation power trying <strong>to</strong> maximise its ‘bang for<br />

the buck’ or its ‘dollar here relative <strong>to</strong> a dollar there’. This is obviously not the case.<br />

I think that highlighting important sites that are not currently on the conservation agenda is actually<br />

one <strong>of</strong> the important strengths <strong>of</strong> the KBA approach. Given the focus on conservation practicality, the<br />

approach is designed <strong>to</strong> reinforce existing conservation implementation. So, current national park<br />

systems and protected <strong>areas</strong> will very <strong>of</strong>ten feature <strong>with</strong>in KBA identification, but the approach<br />

highlights important sites which are beyond existing protected area systems. In general, across<br />

regions where KBA have been identified, we have found that perhaps half or more KBA are not<br />

currently protected <strong>areas</strong> or targeted <strong>with</strong> site safeguard <strong>approaches</strong>. So, drawing attention <strong>to</strong> these<br />

overlooked priority sites is a very important characteristic <strong>of</strong> the approach.<br />

• Do you have any further points you would like <strong>to</strong> add?<br />

Another important point is the relationship between KBA and AZE. KBA is an umbrella approach for<br />

more specific <strong>approaches</strong> in <strong>identify</strong>ing important bird <strong>areas</strong>, important plant <strong>areas</strong> etc. Sites<br />

identified by AZE also fit under this. AZE is effectively the application <strong>of</strong> prioritisation among sites<br />

<strong>with</strong> the application <strong>of</strong> irreplaceability and vulnerability concepts <strong>of</strong> systematic conservation planning<br />

across KBA <strong>areas</strong>. The aim <strong>of</strong> AZE is <strong>to</strong> fast track the identification <strong>of</strong> those ‘tip <strong>of</strong> the iceberg’ most<br />

important sites, <strong>to</strong> determine the extreme values under both the vulnerability and irreplaceability<br />

criteria. AZE, as IBA and so on, form an important subset <strong>of</strong> KBA. However, AZE is a different<br />

dimension <strong>of</strong> the subset, as it has the highest priority in the global field. This has been quite exciting<br />

as a lot <strong>of</strong> attention is being paid <strong>to</strong> AZE, both nationally and globally. A number <strong>of</strong> countries have<br />

adopted AZE <strong>to</strong> develop national alliances for zero extinction and <strong>to</strong> implement these in safeguarding<br />

the most important KBA. They have also been accelerating quite a lot globally. As we <strong>to</strong>uched on<br />

earlier, the KBA are not yet comprehensively identified globally, in contrast <strong>to</strong> AZE. Therefore, AZE<br />

has been adopted as a global indica<strong>to</strong>r <strong>with</strong>in the context <strong>of</strong> the CBD and other mechanisms.<br />

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Furthermore, the question <strong>of</strong> wrapping up the loose ends around some <strong>of</strong> the yet <strong>to</strong> be finalised<br />

criteria remains. In particular, the criteria for habitats and biomes. There is less <strong>of</strong> an issue around<br />

the species level criteria. There are criteria for habitats and biomes, which are very poorly expressed<br />

and implemented at the moment, but they have been applied quite widely for both birds and plants.<br />

So it is important <strong>to</strong> not ignore them. There are still questions about the consolidation <strong>of</strong> the global<br />

criteria, clearly not unexpected, in the development <strong>of</strong> processes <strong>to</strong>wards the emergence <strong>of</strong> a global<br />

standard. In any domain this takes a long time <strong>to</strong> address the final details. A good example is the<br />

development <strong>of</strong> the IUCN red list <strong>of</strong> threatened species which has a 50 year his<strong>to</strong>ry (early 1960), but<br />

it is only <strong>with</strong>in the last 20 years that consistent global standards have emerged. Through the 1990's<br />

there was a lengthy consultative process <strong>to</strong> converge the final details <strong>of</strong> the global standards for the<br />

red list. We see the process for global standards for KBA as being similar. Over the last couple <strong>of</strong><br />

months IUCN has convened a global process <strong>to</strong> work over the coming 4 years in order <strong>to</strong> consolidate<br />

these global standards and criteria; <strong>to</strong> coordinate all data sets, uniting expertise in setting<br />

conservation targets and priorities from the practitioners in the conservation centres,<br />

intergovernmental agencies and academia, <strong>to</strong> solidify the specifics <strong>of</strong> these global standards.<br />

E<strong>special</strong>ly for the aspects <strong>of</strong> the uncertain criteria on habitats and biomes and their thresholds. This<br />

process will be underway over the coming 4 years through a joint task force convened by the species<br />

survival commission and the IUCN world commission on protected <strong>areas</strong>. In my opinion your specific<br />

thesis and contribution will in turn provide some quite important information feeding in<strong>to</strong> the task<br />

force, as we move through this process over the coming years.<br />

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II<br />

Approaches & their characteristics<br />

• Which <strong>approaches</strong> do you use?<br />

We are creating Wildlands Network Designs (WND). Each <strong>of</strong> those designs individually represents a<br />

different ecoregion. For example, in Arizona we have created the Sky Islands WND which<br />

encompasses parts <strong>of</strong> two states and Mexico. These are fairly large ecoregions. In addition, four<br />

other WNDs that are linked on a North-South axis stretching from Northern Mexico <strong>to</strong> Alaska, have<br />

been created. This entire region is referred <strong>to</strong> as the ‘spine <strong>of</strong> the continent’.<br />

• So, if I have unders<strong>to</strong>od you correctly, it is taking ecoregions and trying <strong>to</strong> link them?<br />

Exactly. Ecoregions or important habitats <strong>with</strong>in ecoregions are only valuable if they can connect <strong>with</strong><br />

other viable habitats or other ecoregions. This is based on the need for protecting/res<strong>to</strong>ring large<br />

preda<strong>to</strong>rs and other wide-ranging species which can include other species besides preda<strong>to</strong>rs. But we<br />

are attempting <strong>to</strong> res<strong>to</strong>re and protect his<strong>to</strong>rical migra<strong>to</strong>ry routes in<strong>to</strong> the distant future.<br />

• Do you work <strong>with</strong> already identified ecoregions or do you also <strong>identify</strong> new ecoregions?<br />

It is a mix. There are several different existing ways that ecoregions have been identified. We use<br />

these, but we also start from scratch and attempt <strong>to</strong> determine whether the pre-existing boundaries<br />

are in fact the ones that conform <strong>to</strong> our approach.<br />

• Could you describe any strengths and weaknesses <strong>of</strong> the <strong>approaches</strong> you have used?<br />

We have been using different types <strong>of</strong> methodologies, experimenting <strong>with</strong> these <strong>to</strong> optimise them.<br />

The strengths are that not only GIS based science is involved, but also people who understand and<br />

know these regions on the ground (i.e. ground truthing), in addition <strong>to</strong> the most advanced science<br />

available. So the combination makes it strong.<br />

A weakness would be that we are never quite certain that the methodology is the best for every<br />

situation. For example, we completed a "best science workshop" <strong>to</strong> try and determine this: what is<br />

the best method <strong>to</strong> create WND? The results are currently being written up. It was very difficult <strong>to</strong> get<br />

people <strong>to</strong> agree on one specific approach.<br />

• With regard <strong>to</strong> the criteria that I have used <strong>to</strong> perform the strengths - weakness analysis, can<br />

you think <strong>of</strong> any criteria that you would use <strong>to</strong> compare the various <strong>approaches</strong>?<br />

I would like <strong>to</strong> comment on your criteria.<br />

You have really covered the whole scope. So I would like <strong>to</strong> comment on the concepts that I am<br />

familiar. For the creation <strong>of</strong> WNDs two different types land are dealt <strong>with</strong>: 1. land that is managed by<br />

federal, state, and local agencies or governments, 2. privately owned land which is <strong>of</strong>ten more<br />

important. So <strong>with</strong>in one <strong>of</strong> the WND there is a <strong>to</strong>tal mix <strong>of</strong> different land-uses, public and private.<br />

Private land is more complex, as there are different kinds <strong>of</strong> entities involved, large and small scale.<br />

Private land is essentially individual or corporate owners. Thus, different <strong>approaches</strong> in working <strong>with</strong><br />

these different entities exist. With the public lands an assessment is performed <strong>to</strong> <strong>identify</strong> which<br />

lands are already protected and their level <strong>of</strong> protection. This assessment additionally identifies lands<br />

in need <strong>of</strong> protection <strong>to</strong> form part <strong>of</strong> the habitat linkage for wildlife. For instance, campaigning for a<br />

new wilderness designation on public lands, or lobbying the US forest service <strong>to</strong> implement<br />

management changes on protected lands. This is one way <strong>to</strong> influence federal lands. In the same<br />

way there is also state, county and city level government. Here, again, various <strong>approaches</strong> exist <strong>to</strong><br />

encourage the improvement or implementation <strong>of</strong> protection for specifically identified <strong>areas</strong>.<br />

Again different kinds <strong>of</strong> <strong>approaches</strong> exist for private land owners who predominantly own large<br />

ranches for agricultural operations. Here different communication methods may be useful. The most<br />

important <strong>of</strong> which is <strong>to</strong> encourage them <strong>to</strong> consider land protection via conservation easement.<br />

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This is a very important conservation <strong>to</strong>ol. For example, a farmer owns 100 acres <strong>of</strong> land. Its<br />

undeveloped value would be 1 mill. The same land developed <strong>to</strong> its maximum extent, would have a<br />

value <strong>of</strong> 10 mill. The value <strong>of</strong> a conservation easement is determined by <strong>identify</strong>ing the difference<br />

between the two values (in this example 9 mill.). A land trust is an organisation which purchases this<br />

easement and moni<strong>to</strong>rs its requirements <strong>to</strong> ensure that the terms <strong>of</strong> the easement are followed by<br />

the land owner. The owner continues <strong>to</strong> hold the deed and is allowed <strong>to</strong> manage the land in a<br />

traditional manner. However, the land owner must avoid actions determined in the easement that<br />

would harm ecological values <strong>of</strong> the land, such as subdividing for a housing project. In the case <strong>of</strong><br />

cattle ranching, such a restriction might be no grazing in riparian zones. This is the most important<br />

way in which private land owners contribute <strong>to</strong> conservation.<br />

Another method would be <strong>to</strong> try and convince private landowners <strong>to</strong> change their management<br />

practices through incentives. This is less effective, but can sometimes works, if clear information is<br />

presented.<br />

• How do you measure the efficiency <strong>of</strong> the <strong>approaches</strong> you use?<br />

This would clearly be through moni<strong>to</strong>ring. Public lands could be moni<strong>to</strong>red. For example, foresters<br />

can be checked <strong>to</strong> make sure that management changes are being implemented (removal fences). In<br />

the case <strong>of</strong> private land, the land trust would be responsible for moni<strong>to</strong>ring the land <strong>to</strong> make sure the<br />

owner was not developing. Obviously moni<strong>to</strong>ring is a long term process and sometimes the changes<br />

are not very visible in the short term, e<strong>special</strong>ly the long term changes aimed for.<br />

• But do you moni<strong>to</strong>r the biodiversity values at all?<br />

Absolutely. A field team is required <strong>to</strong> perform any moni<strong>to</strong>ring exercises.<br />

III<br />

Approaches & their requirements<br />

• A. Time: As an estimate, how much time is required for the creation <strong>of</strong> a WND?<br />

Generally speaking it takes about 2-3 years <strong>to</strong> complete the necessary research and then <strong>to</strong> publish<br />

the results.<br />

Implementation is a whole different ball game. This may take a whole generation <strong>to</strong> complete, as<br />

these are long term projects.<br />

The Sky Islands WND was the first <strong>to</strong> be completed and was published in 2000. The implementation<br />

process has been going on for 10 years, associated <strong>with</strong> this, is a long list <strong>of</strong> success s<strong>to</strong>ries.<br />

However, this is an extremely slow process, thus one success s<strong>to</strong>ry per year may well be the norm.<br />

For example, the implementation <strong>of</strong> a habitat protection programme in the surrounding <strong>areas</strong> <strong>of</strong> a<br />

large city. WNDs are used as guidelines <strong>to</strong> <strong>identify</strong> where the habitat linkages should go. This is used<br />

<strong>to</strong> purchase important <strong>areas</strong> which may involve many 1000 <strong>of</strong> acres. Other examples, the<br />

designation <strong>of</strong> new protected lands <strong>with</strong>in an WND, such as the creation <strong>of</strong> a national conservation<br />

area; or the adoption <strong>of</strong> a conservation easement package by a private land owner<br />

• B. Cost: How much does the identification <strong>of</strong> a WND cost?<br />

It may cost 100,000 US$ up <strong>to</strong> 1 mil US$, depending on the size <strong>of</strong> the project.<br />

• C. Human resources: For <strong>identify</strong>ing a WND, which human resources are required? Is it only<br />

possible <strong>to</strong> use experts or can non-expert users be part <strong>of</strong> the identification process?<br />

The required human resources are very diverse and wide-spread. We rely on scientist at the base<br />

level <strong>to</strong> <strong>identify</strong> and map these <strong>areas</strong>. Once this has occurred, other experts, for instance<br />

communication experts and land-trust personnel, become very important for the implementation<br />

process. Wide spread, extremely intensive use <strong>of</strong> human resources is required.<br />

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• E. Purpose <strong>of</strong> the approach: Does anyone <strong>with</strong>in your organisation moni<strong>to</strong>r biodiversity <strong>to</strong><br />

determine the efficiency?<br />

Yes, moni<strong>to</strong>ring is part <strong>of</strong> the process. We are a non-pr<strong>of</strong>it organisation, thus, fund-raising is a major<br />

way <strong>of</strong> obtaining revenue for conservation activities. When a large grant form a foundation has been<br />

given, reporting <strong>to</strong> the foundation is required. So, moni<strong>to</strong>ring is important. Another reason for<br />

moni<strong>to</strong>ring is <strong>to</strong> make sure the habitat is being protected.<br />

Many partner organisations in the Sky Island region work <strong>to</strong>gether <strong>to</strong> implement habitat protection.<br />

They all moni<strong>to</strong>r, in their own way. Thus, there is always general moni<strong>to</strong>ring occurring.<br />

• F. Certification: In your opinion, how do market based initiatives fare in biodiversity<br />

conservation?<br />

There is not a very strong certification process available presently for habitat protection. Harvesting<br />

<strong>of</strong> private forest lands is a different s<strong>to</strong>ry, here certification processes are available. However, at the<br />

level <strong>of</strong> pure habitat protection, not many certification schemes exist.<br />

IV<br />

Summary, evaluation & outlook<br />

• How meaningful can <strong>approaches</strong> used for identification <strong>of</strong> biodiversity relevant <strong>areas</strong> be for<br />

conservation? Or do you think efforts should rather concentrate on existing biodiversity<br />

initiatives rather than <strong>identify</strong>ing new <strong>areas</strong>?<br />

That could be one <strong>of</strong> the most important aspects <strong>of</strong> future work. The reason for that is, the <strong>areas</strong><br />

protected now, may not be the <strong>areas</strong> needed <strong>to</strong> be protected in the future due <strong>to</strong> climate change. We<br />

are working developing GIS mapping based <strong>to</strong>ols, called range-shift <strong>to</strong>ols. Essentially, they make<br />

projections based on temperature increases, on where the wildlife will go. This is a model and thus<br />

the projections are not certain, e<strong>special</strong>ly since it is difficult <strong>to</strong> predict where the temperature changes<br />

are going <strong>to</strong> take place.<br />

• Using these range-shift <strong>to</strong>ols, are you going back <strong>to</strong> the existing WNDs and modifying them?<br />

No, the existing WNDs have not been modified yet <strong>to</strong> reflect climate change, But once climate<br />

change <strong>to</strong>ols are perfected, WNDs will need <strong>to</strong> be modified.<br />

• Are there any other current debates going on <strong>with</strong>in your organisation?<br />

Are you familiar <strong>with</strong> the conflict going on along the US-Mexican border? We have a problem <strong>with</strong><br />

wide scale illegal immigration. So our government has decided <strong>to</strong> build a wall bisecting very<br />

important wildlife migra<strong>to</strong>ry routes. I spend a lot <strong>of</strong> time lobbying the federal agencies <strong>to</strong> open wildlife<br />

corridors. A lot <strong>of</strong> our work is based on s<strong>to</strong>pping habitat fragmentation. This border wall is a true<br />

nightmare as it opens us up <strong>to</strong> heavy criticism for not wanting <strong>to</strong> protect our own country from<br />

terrorist and other illegal entrees. We have a set <strong>of</strong> recommendations for border security operations<br />

that both allow for wildlife connectivity and protect our security at the same time.<br />

• Do you have any further points you would like <strong>to</strong> add?<br />

Other countries around the world are now starting <strong>to</strong> implement the WND. For example, in Australia,<br />

conservation organisations <strong>with</strong> the help <strong>of</strong> the government have begun <strong>to</strong> look at the concept. We<br />

are really excited that this is going outside <strong>of</strong> the boundaries <strong>of</strong> the US, Canada and Mexico in<br />

influencing the way other countries are doing conservation work.<br />

• Do you think one would be able <strong>to</strong> implement something similar in Europe <strong>with</strong> it being so<br />

heavily developed?<br />

It will be much more difficult. However, there is an effort underway in Romania <strong>to</strong> create some <strong>of</strong><br />

these wildlife corridor protection projects. But overall, the more developed the land is, the more<br />

difficult it will be <strong>to</strong> create large landscape scale habitat corridors. There is a limit.<br />

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II<br />

Approaches & their characteristics<br />

• Which <strong>approaches</strong> do you know?<br />

The most familiar one is the FSA and something perhaps similar the HCV approach in the sense<br />

that it looks at different types <strong>of</strong> ecosystems or forest systems. The FSA has been compared <strong>to</strong><br />

processes that follow biodiversity indices such as large forested patches and wetlands-like <strong>areas</strong>.<br />

These were compared through determining how many Heritage Areas overlapped when looking<br />

at the maps generated by the various <strong>approaches</strong>.<br />

In essence inven<strong>to</strong>ries were performed <strong>to</strong> determine the occurrence <strong>of</strong> significant ecosystems<br />

unique <strong>to</strong> an area defined at the level <strong>of</strong> local, regional and national. For example, a cluster <strong>of</strong><br />

White Pine trees not usually found in the area will be given Natural Heritage Site status as it is<br />

unique <strong>to</strong> that region.<br />

I have no experience <strong>with</strong> a REA. ERBC, I have not actually conducted an assessment myself.<br />

KBA is something similar <strong>to</strong> what was mentioned above.<br />

• Could you describe any strengths or weaknesses <strong>of</strong> the FSA?<br />

One strength is that species <strong>with</strong> available data are chosen, thus, species occurrence based on<br />

habitat type can actually be mapped. To determine the focal species, information from about 40<br />

experts in species conservation was collected and a Delphi Survey was performed. The focal<br />

species turned out <strong>to</strong> be species <strong>with</strong> known habitat requirements and species occurrence maps<br />

were drawn.<br />

The downside is that there is not lot <strong>of</strong> data that demonstrates the co-occurrence <strong>of</strong> these<br />

species. There is, however, some indication that the co-occurrence <strong>of</strong> species depends on the<br />

scale at which one examines them.<br />

The other advantage is that the selected focal species are <strong>of</strong>ten species people are familiar <strong>with</strong>.<br />

So it is much easier <strong>to</strong> have conversations <strong>with</strong> planners, for example, about those species.<br />

• What criteria would be important for you <strong>to</strong> compare the different <strong>approaches</strong>?<br />

If considering <strong>areas</strong> <strong>with</strong> high development pressure, other criteria may be more important. In<br />

these <strong>areas</strong> changes occur very quickly, thus, it is <strong>of</strong>ten difficult <strong>to</strong> use an approach that takes a<br />

long time <strong>to</strong> try and direct those changes in a way that is less harmful <strong>to</strong> biodiversity. On these<br />

criteria the availability <strong>of</strong> data <strong>to</strong> actually work <strong>with</strong> is fairly important, so this should be placed<br />

high up on the list.<br />

Are all levels <strong>of</strong> biodiversity assessed? This is probably not as much as a driving fac<strong>to</strong>r when<br />

developing plans for smaller <strong>areas</strong>. This is e<strong>special</strong>ly true if one is not working <strong>with</strong> a global plan<br />

where one tries <strong>to</strong> make sure that one has representation <strong>of</strong> all global ecosystem types. So<br />

certain criteria might not be as critical as they would be for someone using a different approach.<br />

The relevance and priority <strong>of</strong> the criteria depend very much on the objective <strong>of</strong> the project.<br />

It is difficult <strong>to</strong> perform <strong>to</strong>p-down <strong>approaches</strong> in the US, particularly in the South Eastern US<br />

where there is a very strong feeling <strong>of</strong> property rights. It is very difficult <strong>to</strong> prescribe measures <strong>to</strong><br />

protect biodiversity. So a bot<strong>to</strong>m-up approach, such as convincing land-owners that it is the right<br />

thing <strong>to</strong> do, is the most practical way <strong>to</strong> achieve anything in a reasonable amount <strong>of</strong> time.<br />

All <strong>of</strong> these criteria are good. The <strong>importance</strong> <strong>of</strong> each criterion depends on what is trying <strong>to</strong> be<br />

accomplished.<br />

What about how long it takes? If the aim is <strong>to</strong> work <strong>with</strong> a developer <strong>to</strong> make their project as<br />

friendly <strong>to</strong> wildlife as possible, two questions will arise: how much does it cost and how long will it<br />

take? If either one <strong>of</strong> those are <strong>to</strong>o large, it will not happen.<br />

• How would you best measure the efficiency <strong>of</strong> the <strong>approaches</strong> in general? What would you<br />

see as important for an approach <strong>to</strong> be efficient?<br />

Efficiency is input vs output: the ultimate measure would be <strong>to</strong> see whether the plan is successful<br />

in conserving whatever was aimed at being conserved. This is incredibly difficult <strong>to</strong> evaluate at<br />

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any large scale, as much data on species occurrences is lacking. Even in wealthy countries such<br />

as the USA or places in Europe <strong>with</strong> the available resources, much basic information on species<br />

occurrence and population status is lacking. Thus, this type <strong>of</strong> output is extremely difficult <strong>to</strong><br />

measure. This is one <strong>of</strong> the things we are struggling <strong>with</strong>, how <strong>to</strong> determine the success <strong>of</strong> land<br />

conservancies.<br />

So one should try and look for other ways <strong>to</strong> determine output, while obtaining outcome data on<br />

whether the targeted species are actually persisting. These would include aspects such as<br />

whether threats <strong>to</strong> the species are being reduced. For example, if one concentrates on species<br />

that require forests, has one successfully reduced the threats <strong>to</strong> those habitats, is one protecting<br />

the habitat, is the rate or decline decreasing or halted? Is the amount <strong>of</strong> habitat increasing? Are<br />

the things that are threatening the species and system <strong>of</strong> interest being abated? These are<br />

measures <strong>of</strong> the outcome. This could be on the output side.<br />

On the input side, aspects such as money, time and other resources required <strong>to</strong> accomplish the<br />

objectives. Then efficiency could be looked at.<br />

Not many people are actually addressing this. All land trusts in the US report <strong>to</strong> conserve such<br />

features as water quality, wildlife, etc. When they report on their activities and accomplishments,<br />

they tend <strong>to</strong> all report on the how many acres have been protected and how many dollars have<br />

been raised. They may rarely talk about whether or not their actions are actually conserving<br />

whatever they are trying <strong>to</strong> safeguard other than the fact that they protected 3000 acres <strong>of</strong> forest,<br />

for example. That is as far as it goes <strong>with</strong> most <strong>of</strong> the land conservancies. This does not apply <strong>to</strong><br />

larger organisations such as TNC which are beginning <strong>to</strong> address the ecological effects <strong>of</strong> their<br />

actions. This applies <strong>to</strong> smaller, more local conservancies. So they do not really determine that<br />

they have protected an area so that species such as the oven bird will persist and is persisting.<br />

They are not getting <strong>to</strong> that step <strong>of</strong> assuring the outcome <strong>of</strong> the results. That is extremely difficult,<br />

time consuming and cost intensive. These resources many <strong>of</strong> these conservancies do not have.<br />

There is a not completely unreasonable argument that given what is being faced in many places,<br />

the appropriate thing <strong>to</strong> do right now is <strong>to</strong> purchase and protect as much land as possible and <strong>to</strong><br />

worry about the questions <strong>of</strong> efficiency later. These questions are starting <strong>to</strong> be tackled, partly<br />

because, the funding organisations are starting <strong>to</strong> ask these questions: a lot <strong>of</strong> money is being<br />

spent, a lot <strong>of</strong> land is being bought and is anything happening? So this is definitely coming, this<br />

whole issue <strong>of</strong> accountability is going <strong>to</strong> become increasingly important.<br />

III<br />

Approaches & their requirement<br />

• A. Time: How much time is required for the identification <strong>of</strong> <strong>areas</strong> using the FSA?<br />

To create the map, it <strong>to</strong>ok almost 1 year, as we were new <strong>to</strong> the approach. But it can be done in<br />

1-2 months, once the focal species are known. To <strong>identify</strong> the focal species, it might take one<br />

further month.<br />

So for someone <strong>to</strong> work on the approach full-time, it could probably be done in about 6 months.<br />

• Are you talking about an area <strong>with</strong> a lot <strong>of</strong> available species data?<br />

Yes or at least, data available on habitats <strong>of</strong> local species. Even in places where data is not that<br />

good in terms <strong>of</strong> species inven<strong>to</strong>ries, the people working in conservation in those <strong>areas</strong> have a<br />

fairly good sense <strong>of</strong> what they could use as focal species. There is probably some data for those<br />

species about their habitat requirements, what their home ranges are and so on. These being the<br />

key requirements for performing a FSA. So even though the overall situation might be poor in<br />

species data, someone might be able <strong>to</strong> pull <strong>to</strong>gether a focal species plan <strong>with</strong> limited amount <strong>of</strong><br />

data. Then the question becomes how well does it actually work when implemented?<br />

• For the identification stage what is size-scale at which one works?<br />

In general, they would be regional or smaller area maps. 100's <strong>of</strong> 1000's <strong>of</strong> km 2 , somewhere in<br />

that region. Continental focal maps would tend <strong>to</strong> be at a coarser scale. FSA are usually<br />

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performed at a smaller spatial scale, as species, very specific habitat types and home ranges are<br />

dealt <strong>with</strong>. Could a species map for the barred owl for the entire US be drawn? It probably could,<br />

but would anyone? I am not so sure. It may be useful <strong>to</strong> help <strong>identify</strong> biodiversity hotspots, as<br />

these usually come from species data and not from focal species<br />

• B. Cost: as an estimate, how much does the identification process cost?<br />

This was done <strong>with</strong> graduate students. So there is a distinction between how much it cost us and<br />

how much it would cost <strong>to</strong> pay a consultant.<br />

One way <strong>to</strong> come up <strong>with</strong> an estimate is <strong>to</strong> think about the 3 months time frame.<br />

For the area we assessed, it would be in the order <strong>of</strong> 10's <strong>of</strong> 1000's <strong>of</strong> US$ for consultants. That<br />

is fairly rough estimate.<br />

• C. Human Resources: What are the human resource requirements for <strong>identify</strong>ing <strong>areas</strong><br />

using the FSA?<br />

All our work was performed using graduate students working on wildlife degrees. So they had a<br />

good biological background. They were learning about wildlife and they knew how <strong>to</strong> use GIS and<br />

how <strong>to</strong> do library research on the habitat needs <strong>of</strong> the selected focal species. So the whole<br />

process could be done <strong>with</strong> graduate students. If it is done this way, it is going <strong>to</strong> be less costly,<br />

but it will also take longer. Because graduate students are typically learning as they are doing it.<br />

If pr<strong>of</strong>essional consultants worked full-time on the assessment, it could be done in 3-4 months.<br />

To select the focal species, those individuals would have <strong>to</strong> develop a network <strong>to</strong> <strong>identify</strong> the<br />

species using perhaps a Delphi Survey or another approach. This is a fairly simple requirement,<br />

as the information just needs <strong>to</strong> be obtained from a variety <strong>of</strong> people. Then they would have <strong>to</strong><br />

have the expertise <strong>to</strong> evaluate the information and <strong>to</strong> determine the wildlife habitat needs for the<br />

focal species, translate that in<strong>to</strong> something that can be mapped on<strong>to</strong> a geographic information<br />

system, collect the data required for mapping. Thus, they would have <strong>to</strong> either find out or know<br />

where the satellite or land map data is available. Then they would have <strong>to</strong> put it all <strong>to</strong>gether <strong>to</strong><br />

create the maps.<br />

• Would it be possible for non-expert users <strong>to</strong> be part <strong>of</strong> the identification process? Nonexperts<br />

in conservation or wildlife.<br />

Someone who did not know a lot about wildlife could probably perform the survey in <strong>identify</strong>ing<br />

the focal species. To some degree an intelligent human being <strong>with</strong> geographical skills, able <strong>to</strong> do<br />

literature research and who knows how <strong>to</strong> talk <strong>to</strong> people might be capable <strong>of</strong> doing this. But there<br />

is something additional obtained, if a person who knows something about wildlife performs the<br />

analysis. The skilled person is more likely <strong>to</strong> recognise the types <strong>of</strong> follow-up questions, <strong>to</strong><br />

understand the nuances that may be necessary <strong>to</strong> get at the required data.<br />

• So basically, the quality <strong>of</strong> the outcome would be compromised if a non-expert user tried <strong>to</strong><br />

<strong>identify</strong> <strong>areas</strong> using the FSA?<br />

Firstly, the product will be better if an expert performs the assessment, such as a wildlife<br />

pr<strong>of</strong>essional <strong>with</strong> GIS background or a strong graduate <strong>with</strong> a men<strong>to</strong>r who understands the<br />

approach and has a network <strong>of</strong> university affiliates. The second issue relates <strong>to</strong> the credibility <strong>of</strong><br />

the product. Once the product has been made available, if it should be implemented, it would be<br />

helpful <strong>with</strong> regard <strong>to</strong> credibility if the information had expertise backing it.<br />

• How effective do you think the FSA is in conserving biodiversity?<br />

I do not know if anybody knows this. It seems like it is doing a reasonably good job, but it also<br />

seems that it is not a whole lot better than many <strong>of</strong> the more simple <strong>approaches</strong> which require a<br />

lot less time and effort. The simple plans that we assessed, are much easier <strong>to</strong> create, they<br />

require fewer resources and they really did fairly well, even compared <strong>to</strong> the more complex focal<br />

species plans. I have not seen any scientific empirical studies over any period <strong>of</strong> time that<br />

evaluates the outcome <strong>of</strong> the application plan, such as a FSA plan. Also in part, because the<br />

plans are created and not implemented for a variety <strong>of</strong> reasons. The correlation between<br />

indica<strong>to</strong>r species and other species is very dependent on the exact scale and the extent <strong>of</strong> region<br />

under consideration. Then one always ends up in the conversation on what else could be done. If<br />

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this cannot be done, what can be done? This is a reasonable question, but it is almost a<br />

rationalisation for doing something, rather than admitting that this was done due <strong>to</strong> the best<br />

pr<strong>of</strong>essional judgement on an approach that was believed <strong>to</strong> work. Whether it really does work, is<br />

unknown.<br />

IV<br />

Summary, evaluation & outlook<br />

• How meaningful can <strong>approaches</strong> used for the identification <strong>of</strong> biodiversity relevant <strong>areas</strong> be<br />

for conservation? What in your opinion is more important, <strong>identify</strong>ing new <strong>areas</strong> for<br />

conservation or improving conservation <strong>of</strong> existing <strong>areas</strong>?<br />

In a sense you are asking me, where would I put my resources, if I were in the position <strong>to</strong><br />

decide? I would do some <strong>of</strong> each.<br />

Relative resources: It takes far more resources <strong>to</strong> actually implement a plan and manage an area<br />

for conservation than it does <strong>to</strong> create maps. So, it seems, if I had the resources I would want <strong>to</strong><br />

continue mapping out <strong>areas</strong> that are unknown. But in the case <strong>of</strong> the paper park’s issue which is<br />

particularly true in more developing countries where the pressure from people in poverty and<br />

distress is grave. To say that this is a preserve and that it is therefore protected is unreasonable.<br />

So some management needs <strong>to</strong> be implemented at some point in that area, as it may be a<br />

preserve in name, but not in reality. I do not think it is appropriate <strong>to</strong> completely ignore this. I<br />

would tend <strong>to</strong> put a lot <strong>of</strong> emphasis on the actual implementation in the <strong>areas</strong> that are already<br />

known. Whether that requires further refinement <strong>with</strong> FSA or other <strong>approaches</strong> is an open<br />

question. It may be more important <strong>to</strong> engage the communities who live possibly in or adjacent <strong>to</strong><br />

the reserve <strong>to</strong> find ways <strong>to</strong> work <strong>with</strong> them <strong>to</strong> protect those <strong>areas</strong>. Then one could always have a<br />

couple <strong>of</strong> people <strong>with</strong>in one's organisation (assuming one has an organisation) who could<br />

continue <strong>to</strong> look at unchartered terri<strong>to</strong>ry <strong>to</strong> see if there where things worth pursuing elsewhere.<br />

Unless one has a notion, as <strong>with</strong> the land conservancies where they decided that right now one<br />

just has <strong>to</strong>, at least in name, protect as much as possible. The argument being that if one does<br />

not do it now, then it will never be protected. With the goal <strong>of</strong> coming back in about 5 years <strong>to</strong><br />

really start managing it. If one is in that mind frame, it would seem reasonable <strong>to</strong> go ahead and<br />

protect as much as possible. Assuming that the protected can wait until management actually<br />

starts. Otherwise resources will be wasted if the protected land is not managed.<br />

• Do you have any further points you would like <strong>to</strong> add?<br />

I think we are starting <strong>to</strong> address the type <strong>of</strong> question just asked previously. Implementing these<br />

plans is an important step. At least in <strong>areas</strong> where there is pressure from suburban development,<br />

implementing these plans is very difficult. It is very easy <strong>to</strong> draw maps and say these are<br />

ecologically important <strong>areas</strong>. It is extremely difficult when a corporation comes in and says we<br />

would like <strong>to</strong> develop the area. That is extremely difficult <strong>to</strong> push back against, e<strong>special</strong>ly in the<br />

current climate in the US. We have <strong>to</strong> find ways <strong>to</strong> do this. Many <strong>of</strong> the land-use decisions are<br />

made by local planning government who <strong>of</strong>ten do not focus on conservation issues. They are tied<br />

up in a lot <strong>of</strong> other land-use activities. As important as it is <strong>to</strong> <strong>identify</strong> <strong>areas</strong> important for<br />

conservation, it is just as important <strong>to</strong> persuade agencies and people who make land-use<br />

decisions that conservation is important. This may be more important, as a fight may arise <strong>with</strong> a<br />

new project proposal. One ends up in the position <strong>of</strong> the nay-sayers which is counterproductive.<br />

186


APPENDIX<br />

A5<br />

Strength-Weakness Analyses: Detailed <strong>Assessment</strong> Results<br />

A5-1 Strength-Weakness Pr<strong>of</strong>ile: High Conservation Value (HCV) Concept<br />

Table 17: Overview <strong>of</strong> data obtained for HCV strength-weakness pr<strong>of</strong>ile<br />

Criteria Strength Weakness<br />

A. Addressed<br />

biodiversity<br />

levels<br />

B. Addressed<br />

ecosystem<br />

types<br />

C. Geographic<br />

scale <strong>of</strong><br />

applicability<br />

D. Level <strong>of</strong><br />

approach<br />

E. Implementation<br />

style<br />

F. Suitability for<br />

different users<br />

J. Possibility <strong>of</strong><br />

scoping<br />

assessment<br />

• Species richness is addressed in<br />

HCV1 and HCV2 1<br />

• Ecosystem diversity is addressed in<br />

HCV3 1<br />

• Genetic variation is conserved in<br />

HCV2 2<br />

• Designed for the use in forest<br />

ecosystems<br />

• Grasslands have included in HCV<br />

identification process<br />

• Global implementation 3<br />

• Regional scale implementation 4,5<br />

• Local scale implementation 3<br />

• Local level always considers<br />

regional level 5,6<br />

• Designed for implementation at the<br />

private sec<strong>to</strong>r level 3<br />

• In some cases has been applied <strong>to</strong><br />

the public sec<strong>to</strong>r level 7<br />

• Generic HCV definitions are purely<br />

<strong>to</strong>p-down, as they rely on<br />

internationally defined criteria 3<br />

• Generic definitions then placed in a<br />

regional or national context, <strong>with</strong><br />

stakeholder participation, providing a<br />

bot<strong>to</strong>m-up approach 9<br />

• Combination <strong>of</strong> <strong>to</strong>p-down and<br />

bot<strong>to</strong>m-up 9<br />

• Combination <strong>of</strong> international and<br />

national experts 7,9,10 , e<strong>special</strong>ly for<br />

high impact operations 9<br />

• For low impact operations local user<br />

groups can perform assessment <strong>with</strong><br />

validation by expert 9<br />

• Stakeholder participation important<br />

part <strong>of</strong> entire process 11<br />

• During preparation, existing data and<br />

required data, existing and likely<br />

HCVs and the likely impact <strong>of</strong> the<br />

operation should be identified, as<br />

part <strong>of</strong> a pilot study 11<br />

• This enables the identification <strong>of</strong> the<br />

assessment team and the<br />

stakeholder consultation needs 11<br />

• No information found in literature<br />

or from interviews<br />

• Grasslands were not specifically<br />

targeted for identification 1<br />

• Has neither been designed for<br />

other terrestrial nor aquatic<br />

ecosystems<br />

• Regional level assessments for<br />

conservation planning purposes<br />

(eg. Brazil, Indonesia 3 ), outside <strong>of</strong><br />

FSC, result in small islands <strong>of</strong><br />

protected <strong>areas</strong> 7,8<br />

• Within the public sec<strong>to</strong>r level it<br />

attempts <strong>to</strong> <strong>identify</strong> the smallest<br />

possible area 7<br />

• No information found in literature<br />

or from interviews<br />

• No information found in literature<br />

or from interviews<br />

• Pilot study not sufficient <strong>to</strong> <strong>identify</strong><br />

existing or likely HCVs<br />

187


A5-1<br />

Criteria Strength Weakness<br />

J. Continued -<br />

Possibility <strong>of</strong><br />

scoping<br />

assessment<br />

K. Consideration <strong>of</strong><br />

threats<br />

L. Moni<strong>to</strong>ring<br />

recommenddations<br />

M. Management<br />

recommenddations<br />

Source: Own design<br />

• During planning, time requirements<br />

and the budget <strong>of</strong> the assessment<br />

are identified 11<br />

• Rapid assessment (site survey ~2<br />

days 12 ) is performed at the beginning<br />

<strong>to</strong> determine that HCVs are not<br />

present which minimises cost and<br />

time <strong>of</strong> an assessment 12,13<br />

• Threat assessment is divided in<strong>to</strong><br />

low impact and high impact 11<br />

• Both internal and external threats are<br />

easily identified using <strong>to</strong>ols such as<br />

the 5-S Framework, Participa<strong>to</strong>ry<br />

Conservation Planning (PCP) and<br />

the Threat Reduction <strong>Assessment</strong> 11<br />

• Potential impacts are ranked<br />

according <strong>to</strong> their severity, high,<br />

medium and low 11<br />

• Stakeholder participation<br />

encouraged in threat identification 11<br />

• Aims <strong>to</strong> develop a moni<strong>to</strong>ring plan <strong>to</strong><br />

which should detect changes in the<br />

status <strong>of</strong> an HCV and allow prompt<br />

action 11<br />

• General guidance on moni<strong>to</strong>ring is<br />

provided 14<br />

• Normally occurs through specifically<br />

identified indica<strong>to</strong>rs 14<br />

• Indica<strong>to</strong>rs include counts, water<br />

quality assessments and social<br />

aspects such as income derived<br />

from non-timber products 14<br />

• Basic ideas and processes for<br />

management strategies are<br />

outlined 14<br />

• Concept is about helping managers<br />

find a way <strong>to</strong> manage their land<br />

<strong>with</strong>out affecting the biodiversity or<br />

environmental and social values 14<br />

• No further information found in<br />

literature or from interviews<br />

• No information found in literature<br />

or from interviews<br />

• No information found in literature<br />

or from interviews<br />

• No information found in literature<br />

or from interviews<br />

1 Jennings S., Nussbaum R., Judd N., Evans T. (2003): High Conservation Value Forest Toolkit;<br />

Edition 1; Pr<strong>of</strong>orest; Oxford<br />

2 Stafford Smith M., Ash A. (2006): High Conservation Value in the Rangelands; Report <strong>of</strong> a workshop<br />

for the Australian Government Department <strong>of</strong> the Environment and Heritage, Desert Knowledge<br />

Cooperative Research Centre, Alice Springs<br />

3<br />

High Conservation Value Resource Network (2005 - 07): (retrieved: 29. May 2009)<br />

http://www.hcvnetwork.org/;<br />

4 Rayden T., Kruglianskas I., Stewart C. (2009): An assessment <strong>of</strong> potential High Conservation Values<br />

<strong>with</strong>in Cabo Delgado Province, Mozambique; Pr<strong>of</strong>orest; Oxford<br />

188


APPENDIX<br />

5 Punde S (2007): Prioritising <strong>areas</strong> for Forest Conservation in the Konkan region <strong>of</strong> the Western<br />

Ghats hotspot (India) - a pilot study; Applied Environmental Research Foundation (AERF)<br />

6<br />

Gesellschaft für Technische Zusammenarbeit (GTZ) GmbH (2008): Early Experience in<br />

Implementing Bi<strong>of</strong>uel Certification; Workshop for Policymakers and Practitioners; Federal Ministry for<br />

Economic Cooperation and Development (BMZ); Brussels<br />

7 Interview Partner E<br />

8 Lindhe, A. (2005-07): Extension from forests <strong>to</strong> other ecosystems and across landscapes; (retrieved<br />

07.06.2009) http://www.hcvnetwork.org/resources/comment-consultation<br />

9 Interview Partner D<br />

10 Interview Partner G<br />

11 Stewart C., George P., Rayden T., Nussbaum, R. (2008): Good practice guidelines for High<br />

Conservation Value assessment - a practical guide for practioners and audi<strong>to</strong>rs; Pr<strong>of</strong>orest; Oxford<br />

12 Pr<strong>of</strong>orest (2005-07)b: Part2: Defining High Conservation Values at national level: a practical guide;<br />

(retrieved 05.06.2009) http://www.hcvnetwork.org/resources/global-hcv-<strong>to</strong>olkits;<br />

13 Pollard E. H. B. (2005): Preliminary High Conservation Value Forest assessment for Ha Nung state<br />

forest enterprise; WWF Greater Mekong<br />

14 Pr<strong>of</strong>orest (2005-07)c: Part3: Identifying and managing High Conservation Values Forests: a guide<br />

http://www.hcvnetwork.org/resources/global-hcv-<br />

for forest managers; (retrieved 05.06.2009)<br />

<strong>to</strong>olkits;<br />

189


A5-2 Strength-Weakness Pr<strong>of</strong>ile: Key Biodiversity Areas (KBA) Approach<br />

Table 18: Overview <strong>of</strong> data obtained for the KBA strength-weakness pr<strong>of</strong>ile<br />

Criteria Strength Weakness<br />

A. Addressed<br />

biodiversity<br />

levels<br />

B. Addressed<br />

ecosystem<br />

types<br />

C. Geographical<br />

scale <strong>of</strong><br />

applicability<br />

D. Level <strong>of</strong><br />

approach<br />

E. Implementation<br />

style<br />

• Species level addressed through the<br />

species based criteria 1<br />

• KBA networks are large 1 and,<br />

therefore, able <strong>to</strong> conserve genetic<br />

diversity drift<br />

• Can be applied across all<br />

•<br />

biogeographic regions 1,2<br />

• Case studies for terrestrial and<br />

3,4 ,5,6 ,7<br />

aquatic ecosystems exist<br />

• National level identification <strong>with</strong> sitescale<br />

implementation 10<br />

• Provides a powerful watch list for the<br />

private sec<strong>to</strong>r <strong>to</strong> <strong>identify</strong> sites not<br />

suitable for development 11<br />

• Designed for use at the public sec<strong>to</strong>r<br />

level<br />

• Criteria and thresholds globally set 2<br />

• Local stakeholder participation<br />

sometimes included in identification<br />

and delineation 11<br />

• No rare, threatened or<br />

endangered ecosystems were<br />

identified<br />

A5-2<br />

Urgent need <strong>to</strong> increase available<br />

data on aquatic biodiversity <strong>to</strong><br />

improve KBA criteria 1,2,8<br />

• Due <strong>to</strong> global thresholds,<br />

identification at a regional or local<br />

level, may result in significant<br />

omission and or commission<br />

errors 9<br />

• Global thresholds have provided<br />

problems in priority setting 10<br />

• Not designed for implementation<br />

at the private sec<strong>to</strong>r level<br />

• Global thresholds have provided<br />

problems in priority setting at a<br />

local and regional scale 10<br />

• Local stakeholder inclusion<br />

normally only for the refinement <strong>of</strong><br />

delinetaion 3, 9<br />

F. Suitability for<br />

different users<br />

J. Possibility <strong>of</strong><br />

scoping<br />

assessment<br />

K. Consideration<br />

<strong>of</strong> threats<br />

• International and national experts<br />

vital for identification 1,2,12<br />

• Where possible chose national over<br />

international experts<br />

• Stakeholder participation required for<br />

delineation <strong>of</strong> sites 11<br />

• No information found in literature or<br />

from interviews<br />

• Internal threats: habitat loss and<br />

degradation, illegal logging, land<br />

conversions, drainage and pollution<br />

<strong>of</strong> wetlands, etc 13<br />

• External threats: urban development,<br />

demographic growth, invasive<br />

species, illegal trade <strong>of</strong> species, etc 13<br />

• Major future threat under<br />

consideration is climate change 13<br />

• Threats have been ranked high,<br />

moderate and low 4<br />

190<br />

• Participation only encouraged<br />

after KBA status has been given 9<br />

• Identification process embedded<br />

<strong>with</strong>in national institutions 11 , any<br />

scoping assessment will be left up<br />

<strong>to</strong> them<br />

• Identification and delineation is an<br />

iterative process 11 , making it<br />

difficult <strong>to</strong> design a scoping<br />

assessment<br />

• No information found in literature<br />

or from interviews


APPENDIX<br />

Criteria Strength Weakness<br />

L. Moni<strong>to</strong>ring<br />

recommenddations<br />

M. Management<br />

recommenddations<br />

Source: Own design<br />

• Moni<strong>to</strong>ring recommendations are<br />

given by the KBA process 2<br />

• Examples <strong>of</strong> moni<strong>to</strong>ring are<br />

provided: site level moni<strong>to</strong>ring<br />

provides information on the accuracy<br />

and current status <strong>of</strong> KBA;<br />

moni<strong>to</strong>ring is important at sites<br />

containing rare, threatened or<br />

engendered species whose threat is<br />

external 2<br />

• Moni<strong>to</strong>ring initiatives using remote<br />

sensing are underway and are fast,<br />

and cost effective 2<br />

• General management<br />

recommendations are provided in the<br />

form <strong>of</strong> examples: management is<br />

key for the habitat res<strong>to</strong>ration <strong>of</strong><br />

habitat; or depleted populations<br />

should be supplemented <strong>with</strong> captive<br />

or artificially breed species 2<br />

• Exact management strategies are<br />

left <strong>to</strong> the country or region 2<br />

• Finer scale moni<strong>to</strong>ring must<br />

supplement any moni<strong>to</strong>ring by<br />

remote sensing 2<br />

• No information found in literature<br />

or from interviews<br />

1 Eken G., Bennun L., Brooks T. M., Darwall W., Fishpool L. D. C., Foster M., Knox D., Langhammer<br />

P., Matiku P., Radford E., Salaman P., Sechrest W., Smith M. L., Spec<strong>to</strong>r S., Tord<strong>of</strong>f A. (2004): Key<br />

biodiversity <strong>areas</strong> as site conservation targets; Bioscience; 54(12):1110-1118<br />

2 Langhammer P. F., Bakarr M. I., Bennun L., Brooks T. M., Clay P. C., Darwall W., De Silva N., Edgar<br />

G. J., Eken G., Fishpool L. D. C., da Fonseca G. A. B., Foster M. N., Knox D. H., Matiku P., Radford<br />

E. A., Rodrigues A. S. L., Salaman P., Sechrest W., Tord<strong>of</strong>f A. W. (2007): Identification and analysis<br />

<strong>of</strong> Key Biodiversity Areas: Targets for comprehensive protected <strong>areas</strong> system; IUCN, Gland<br />

3 Eken G., Bozdoğan M., Karataş A., Lise Y. (2004): Key Biodiversity Areas: Identifying the world's<br />

priority sites for conservation – lessons learned from Turkey; Doğa Derneği, Ankara, Turkey<br />

4 Gerlach J. (2008): Setting conservation priorities - A Key Biodiversity Areas analysis for the<br />

Seychelles Islands; The Open Conservation Biology Journal 2:44-53<br />

5 Erdmann T. K. (2008): Ecoregional conservation and development in Madagascar; USAid (retrieved<br />

18. 08. 2009) http://www.usaid.gov/mg/so6_docs/ecoregional_approach.pdf<br />

6 CSIR (2007): Delineating key biodiversity <strong>areas</strong> for the New Guinea Wilderness; (retrieved<br />

18.10.2009) http://www.csiro.au/science/PNGMilneBay.html<br />

7 Edgar G. J., Langhammer P. F., Allen G., Brooks T. M., Brodie J., Crosse W., De Silva N., Fishpool<br />

L. D. C., Foster M. N., Knox D. H., McCosker J. E., McManus R., Millar A. J. K., Mugo R. (2008):<br />

Key Biodiversity Areas as globally significant target sites for the conservation <strong>of</strong> marine biological<br />

diversity; Aquatic Conservation: Marine and Freshwater Ecosystems; 18:969-983<br />

191


A5-2<br />

8 IBAT - Integrated Biodiversity <strong>Assessment</strong> Tool for Business (2008): Key Biodiversity Areas; Critical<br />

biodiversity information <strong>to</strong> support corporate decision-making; (retrieved 19.08.2009)<br />

http://www.ibatforbusiness.org/userfiles/docs/kbaandbusiness.pdf<br />

9 Knight A. T., Smith R. J., Cowling R. M., Desmet P. G., Faith D. P., Ferrier S., Gelderblom C. M.,<br />

Grantham H., Lombard A. T., Maze K., Nel J. L., Parrish J. D., Pence G. Q. K., Possingham H. P.,<br />

Reyers B., Rouget M., Roux D., Wilson K. A. (2007): Improving Key Biodiversity Areas approach for<br />

effective conservation planning; BioScience; 57(3):256-261<br />

10 Interview Partner G<br />

11 Interview Partner M<br />

12 Bird Conservation Nepal (2009): Developing civil society networks <strong>to</strong> conserve Key Biodiversity<br />

Areas in Nepal; focusing on the Kanchenjunga-Singalila Complex; CEPF final project completion<br />

report (retrieved 19.08.2009) http://www.cepf.net/Documents/Final_BCN_civil_society_networks.pdf<br />

13 García-Moreno J., Clay R. P., Ríos-Muñoz C. A. (2007): The <strong>importance</strong> <strong>of</strong> birds for conservation in<br />

the Neotropical region; Journal <strong>of</strong> Orthithology; 148(Suppl 2):321-326<br />

192


APPENDIX<br />

A5-3 Strength-Weakness Pr<strong>of</strong>ile: Ecoregion-Based Conservation (ERBC) Approach<br />

Table 19: Overview <strong>of</strong> data obtained for ERBC strength-weakness pr<strong>of</strong>ile<br />

Criteria Strength Weakness<br />

A. Addressed<br />

biodiversity<br />

levels<br />

B. Addressed<br />

ecosystem<br />

types<br />

C. Geographical<br />

scale <strong>of</strong><br />

applicability<br />

D. Level <strong>of</strong><br />

approach<br />

• Genetic diversity <strong>of</strong> species <strong>with</strong><br />

available genetic data has been<br />

selectively captured <strong>with</strong>in an ERBC<br />

assessment 1<br />

• Conservation <strong>of</strong> genetic diversity<br />

through representation and replication<br />

<strong>of</strong> conservation targets <strong>with</strong>in each<br />

subdivision <strong>of</strong> the ecoregion 1,12<br />

• Species richness is captured at two<br />

levels: 1. Coarse level – protects plant<br />

communities and ecological<br />

processes; 2. Fine level – identifies<br />

threatened, rare or endemic species<br />

<strong>with</strong> a <strong>special</strong> need for conservation 2<br />

• The Global 200 analysis identifies the<br />

most prominent biological features <strong>of</strong><br />

each priority ecoregion 3<br />

• This large scale analysis lays the<br />

groundwork for finer-scale analyses<br />

<strong>with</strong>in the ecoregion <strong>to</strong> priority sites,<br />

including rare ecosystems 4<br />

• Conservation <strong>of</strong> large natural habitats<br />

indirectly conserves genetic diversity<br />

• Both terrestrial and aquatic<br />

ecosystems have been assessd 3<br />

• Workbook for terrestrial ecosystems<br />

exists 4<br />

• Workbook for freshwater ecosystems<br />

exists 5<br />

• Was designed for global application 3,6<br />

• Implemented on a regional level <strong>with</strong><br />

different case studies applied at<br />

various geographical scales, ranging<br />

from single watersheds <strong>to</strong> entire<br />

continents 6<br />

• Implementation at the local level is<br />

represented through analytical work<br />

conducted <strong>with</strong>in an ecoregion 4<br />

• In theory can be implemented at the<br />

private sec<strong>to</strong>r level - eg. in large-scale<br />

logging concessions, such as in<br />

Central Africa, only one tree per<br />

hectare, per 25 years is cut 7<br />

• Designed for implementation at an<br />

ecoregional scale: probably has both<br />

the private and public sec<strong>to</strong>r levels<br />

incorporated in<strong>to</strong> the conservation<br />

strategy outcome, resulting in a mosaic<br />

<strong>of</strong> conservation priority sites and sites<br />

where land-use may take place 8<br />

• Designed for implementation at the<br />

public sec<strong>to</strong>r level 9<br />

193<br />

• Assume that other species’<br />

genetic diversity is also<br />

captured 1<br />

• No information found in literature<br />

or from interviews<br />

• Entire assessment is always<br />

carried out at a greater level<br />

than local, thus local can only be<br />

addressed partially 4<br />

• Implementation by the private<br />

sec<strong>to</strong>r level may be difficult <strong>to</strong><br />

achieve, e<strong>special</strong>ly in highly<br />

fragmented <strong>areas</strong>, as one <strong>of</strong> the<br />

goals is <strong>to</strong> conserve blocks <strong>of</strong><br />

large natural habitat 10<br />

• Conservation <strong>with</strong>in these<br />

production sites (private sec<strong>to</strong>r)<br />

would have <strong>to</strong> be dealt <strong>with</strong> at a<br />

management level 11<br />

• May result in <strong>to</strong>o much<br />

additional pressure being placed<br />

on a country or region <strong>with</strong> an<br />

already large percentage <strong>of</strong><br />

protected <strong>areas</strong> 11


A5-3<br />

Criteria Strength Weakness<br />

E. Implementation<br />

style<br />

F. Suitability for<br />

different users<br />

J. Possibility <strong>of</strong><br />

scoping<br />

assessment<br />

K. Consideration<br />

<strong>of</strong> threats<br />

L. Moni<strong>to</strong>ring<br />

recommendations<br />

M. Management<br />

recommendations<br />

Source: Own design<br />

• Identification <strong>of</strong> ecoregions by a global<br />

biodiversity assessment is <strong>to</strong>p-down 3<br />

• Identifying priority sites <strong>with</strong><br />

ecoregions is bot<strong>to</strong>m-up as local<br />

experts and stakeholders are<br />

consulted 10<br />

• Requires an entire team <strong>of</strong> experts,<br />

ideally local, national and international<br />

experts 4<br />

• Indigenous people (i.e. local user<br />

groups) and other stakeholders should<br />

also always be part <strong>of</strong> the identification<br />

process 4<br />

• During preparation the assessment<br />

team should be formed, designing and<br />

preparing for expert workshops and<br />

gathering essential data 4<br />

• The time required <strong>to</strong> complete an<br />

ERBC assessment takes<br />

approximately 2 years 1,11<br />

• Financial cost is considered when<br />

choosing an assessment team and<br />

whilst obtaining available data 4<br />

• Makes use <strong>of</strong> the 5-S Framework <strong>to</strong>ol<br />

for threat assessment 4<br />

• Levels <strong>of</strong> threat are ranked<br />

qualitatively: low, medium, high, from<br />

the source 1<br />

• Zones <strong>of</strong> threat degree, both internal<br />

and external, are established 1<br />

• Identifies highly threatened priority<br />

<strong>areas</strong> but where threats can be<br />

abated 1<br />

• Major future threat under consideration<br />

• No information found in literature<br />

or from interviews<br />

• No information found in literature<br />

or from interviews<br />

• No information found in literature<br />

or from interviews<br />

• No information found in<br />

literature or from interviews<br />

is climate change 1<br />

• Moni<strong>to</strong>ring is an important component • No information found in literature<br />

<strong>of</strong> the long term biodiversity vision or from interviews<br />

plan 4<br />

• Includes recommendations: moni<strong>to</strong>ring<br />

<strong>of</strong> keys<strong>to</strong>ne species and the species<br />

dependent on them, moni<strong>to</strong>ring <strong>of</strong><br />

migra<strong>to</strong>ry species, etc 4<br />

• May also be involved in the<br />

implementation <strong>of</strong> additional<br />

conservation strategies 8,12<br />

• Part <strong>of</strong> the biodiversity vision plan is<br />

the development <strong>of</strong> management<br />

practices 4<br />

• No information found in literature<br />

or from interviews<br />

1 Interview Partner J<br />

2 Marshall R. M., Turner D., Gondor A., Gori D., Enquist C., Luna G., Paredes Aguilar R., Anderson<br />

S., Schwartz S., Watts C., Lopez E., Comer P. (2004): An ecological analysis <strong>of</strong> conservation<br />

194


APPENDIX<br />

priorities in the Apache Highlands; prepared by The Nature Conservancy <strong>of</strong> Arizona, Institu<strong>to</strong> del<br />

Medio Ambiente y el Desarrollo Sustentable del Estado de Sonora; agency and institutional partners<br />

3 Olson D. M., Dinerstein E. (1998): The Global 200: a representation approach <strong>to</strong> conserving the<br />

Earth’s most biologically valuable ecoregions. Conservation Biology; Vol. 12(3):502-515<br />

4 Dinerstein E., Powell G., Olson D., Wikramanayake E. D., Abell R., Loucks C., Underwood E., Allnutt<br />

T., Wettengel W., Ricketts T., Strand H., O'Connor S., Burgess N. (2000): A workbook for<br />

conducting biological assessments and developing biodiversity visions for ecoregion-based<br />

conservation; World Wildlife Fund, Washing<strong>to</strong>n, D. C.<br />

5 Abell R. M., Thieme M., Dinerstein E., Olson D. (2002): A sourcebook for conducting biological<br />

assessments and developing biodiversity visions for ecoregion conservation; Volume II: Freshwater<br />

ecoregions; World Wildlife Fund; Washing<strong>to</strong>n D. C.<br />

6 Conservation Online (2009)a: Conservation by design Gateway: Links <strong>to</strong> completed Ecoregional<br />

<strong>Assessment</strong>s; (retrieved10.10.2009)<br />

http://conserveonline.org/workspaces/cbdgateway/era/reports/index_html<br />

7 Interview Partner F<br />

8 Moore J. E., Kitchener D. J., Salim A., Pollard E. H. B., Stanley S. A. (2004): Ecoregional<br />

assessment <strong>of</strong> biological diversity conservation in East Kalimantan, Indonesia; Volume I - Report;<br />

The Nature Conservancy Asia/Pacific Region: Indonesia Program East Kalimantan Portfolio Office<br />

9 Interview Partner A<br />

10 Dinerstein E., Olson D., Atchley J., Loucks C., Contreras-Balderas S., Abell R., Iñigo E., Enkerlin E.,<br />

Williams C., Castilleja G. (2002): Ecoregion-based conservation in the Chihuahuan Desert; a<br />

biological assessment; a collaborative effort by World Wildlife Fund, Comisíon National para el<br />

Conocimien<strong>to</strong> y Uso de la Biodiversidad (CONABIO), The Nature Conservancy, PRONATURA<br />

Noreste, and the Institu<strong>to</strong> Tecnologico y de Estudios Superiores de Monterrey (ITESM)<br />

11 Interview Partner I<br />

12 Marshall R. M., Anderson S., Batcher M., Comer P., Cornelius S., Cox R., Gondor A., Gori D.,<br />

Humke J., Paredes Aguilar R., Parra I. E., Schwartz S. (2000): An Ecological Analysis <strong>of</strong><br />

Conservation Priorities in the Sonoran Desert Ecoregion; Prepared by The Nature Conservancy<br />

Arizona Chapter, Sonoran Institute, and Institu<strong>to</strong> del Medio Ambiente y el Desarrollo Sustentable del<br />

Estado de Sonora <strong>with</strong> support from Department <strong>of</strong> Defence Legacy Program, Agency and<br />

Institutional partners<br />

195


A5-4 Strength-Weakness Pr<strong>of</strong>ile: Focal Species Approach (FSA)<br />

Table 20: Overview <strong>of</strong> data obtained for the FSA strength-weakness pr<strong>of</strong>ile<br />

Criteria Strength Weakness<br />

A. Addressed<br />

biodiversity<br />

levels<br />

B. Addressed<br />

ecosystem<br />

types<br />

C. Geographical<br />

scale <strong>of</strong><br />

applicability<br />

D. Level <strong>of</strong><br />

approach<br />

E. Implementation<br />

style<br />

F. Suitability for<br />

different users<br />

J. Possibility <strong>of</strong><br />

scoping<br />

assessment<br />

K. Consideration<br />

<strong>of</strong> threats<br />

• Designed for implementation in<br />

heavily developed landscapes,<br />

primarily agriculture 1,2<br />

• Relies solely on locally<br />

threatened or endangered<br />

species<br />

• Designed for implementation in<br />

any terrestrial ecosystem –<br />

heavily developed<br />

• Has been implemented at a<br />

2,4 ,5<br />

global scale<br />

• Has been implemented at a local<br />

A5-5<br />

• Criteria used by this approach do<br />

not rely on globally or regionally<br />

rare, threatened, endangered and/<br />

or endemic species nor<br />

ecosystems<br />

• Focuses on a specific set <strong>of</strong><br />

species and assumes that by<br />

covering the needs <strong>of</strong> these 'focal<br />

species', the needs <strong>of</strong> all other<br />

species are covered 1,3<br />

• Genetic diversity has not been<br />

addressed<br />

• Has not been designed for<br />

implementation in aquatic<br />

ecosystems<br />

• No information found in literature<br />

or from interviews on a regional<br />

assessment<br />

• Provides a workable, useful and<br />

owned land 4<br />

scientifically sound method <strong>of</strong> or from interviews<br />

addressing conservation in<br />

agricultural lands, privately<br />

owned 7,8<br />

• Implementation <strong>with</strong>in regions <strong>of</strong><br />

both privately and publicly<br />

• No information on the use <strong>of</strong><br />

• Implementation typically through<br />

data is taken in<strong>to</strong> consideration 1<br />

partnerships between<br />

government, community-based<br />

organisations 2 and industry, land<br />

owners and the general public 5<br />

global and/ or national species<br />

status databases was found<br />

• To determine the focal<br />

community, only local or regional<br />

• Designed for use by experts • International experts not included<br />

experts 2,5<br />

• The identification <strong>of</strong> focal species in the identification process<br />

and their key threats requires • Local user groups not included in<br />

input from local or national<br />

the identification process<br />

• No information found in literature • No information found in literature<br />

or from interviews<br />

or from interviews<br />

• First step in <strong>identify</strong>ing the focal<br />

community is the identification <strong>of</strong><br />

threats, both external and<br />

internal 1<br />

• Threats divided in<strong>to</strong> four<br />

categories: areal-limited,<br />

dispersal-limited, resourcelimited,<br />

and ecological processlimited<br />

• Interaction <strong>of</strong> threatening<br />

processes not considered 10<br />

196


APPENDIX<br />

Criteria Strength Weakness<br />

K. Continued -<br />

Consideration<br />

<strong>of</strong> threats<br />

L. Moni<strong>to</strong>ring<br />

recommenddations<br />

M. Management<br />

recommenddations<br />

Source: Own design<br />

• No information found in literature<br />

• No information found in literature<br />

• Threatened species assigned <strong>to</strong><br />

threat categories and the most<br />

vulnerable species will be termed<br />

the focal species 1<br />

• All focal species are the focal<br />

community which is used <strong>to</strong><br />

determine the characteristics <strong>of</strong> a<br />

landscape that must exist if the<br />

needs <strong>of</strong> all other biota are <strong>to</strong> be<br />

met 2<br />

• These threats include habitat<br />

fragmentation, agriculture, forest<br />

fires, degradation <strong>of</strong> habitat<br />

structure and complexity, patch<br />

size, erosion, declining water<br />

quality, tree dieback, dry land<br />

salinity 9<br />

• Moni<strong>to</strong>ring recommendations are<br />

process is critically mportant 1<br />

made and include the extent <strong>of</strong> or from interviews<br />

and barriers <strong>to</strong> on-ground<br />

implementation <strong>of</strong> the FSA, costs<br />

and benefits <strong>of</strong> implementation,<br />

<strong>areas</strong> for improvement, and<br />

whether the designs achieved<br />

their stated objectives 2<br />

• Moni<strong>to</strong>ring is required for the<br />

approach <strong>to</strong> be <strong>of</strong> value for long<br />

term landscape res<strong>to</strong>ration 2<br />

• Establishment <strong>of</strong> a moni<strong>to</strong>ring<br />

• Aims <strong>to</strong> <strong>identify</strong> management<br />

strategies 2<br />

interventions needed for the<br />

or from interviews 10<br />

maintenance <strong>of</strong> species and<br />

habitats <strong>with</strong>in a degraded<br />

landscape 2<br />

• Guide the design and<br />

implementation <strong>of</strong> revegetation<br />

and vegetation management<br />

1 Lambeck R. J. (1997): Focal Species: A Multi-Species Umbrella for Nature Conservation;<br />

Conservation Biology;11(4): 849-856<br />

2 Huggett A. (2007): A review <strong>of</strong> the focal species approach in Australia; Land & Water Australia,<br />

Canberra<br />

3 Lindenmayer D. B., Manning A. D., Smith P. L., Possingham H. P., Fischer J., Oliver I., McCarthy M.<br />

A. (2002):The Focal Species approach and landscape res<strong>to</strong>ration: a critique; Conservation Biology;<br />

16(2):338-345<br />

4 Bani L., Baiet<strong>to</strong> M., Bot<strong>to</strong>ni L., Masse R. (2002): The use <strong>of</strong> focal species in designing a habitat<br />

network for a lowland area <strong>of</strong> Lombardy, Italy; Conservation Biology; 16(3):826-831<br />

197


A5-5<br />

5 Hess G. R., King T. J. (2002): Planning open spaces for wildlife; I. selecting focal species using a<br />

Delphi survey approach; Landscape and Urban Planning; 58(1):25-40<br />

6 Freudenberger D. (2001): Bush for the birds: Biodiversity enhancement guidelines for the Saltshaker<br />

Project, Boorowa, NSW; Consultancy report <strong>to</strong> Greening Australia ACT & SE NSW, Inc.; CSIRO<br />

Sustainable Ecosystems, Canberra<br />

7 Brooker L. (2002): The application <strong>of</strong> focal species knowledge <strong>to</strong> landscape design in agricultural<br />

lands using the ecological neighbourhood as a template; Landscape and Urban Planning; 60(4):185-<br />

210<br />

8 Freudenberger D. (1999): Guidelines for Enhancing Grassy Woodlands for the Vegetation<br />

Investment Project; CSIRO Wildlife & Ecology; Canberra<br />

9 Roberge J. M., Angelstam P. (2004): Usefulness <strong>of</strong> the umbrella species concept as a conservation<br />

<strong>to</strong>ol; Conservation Biology; 18(1):76-85<br />

198


APPENDIX<br />

A5-5 Strength-Weakness Pr<strong>of</strong>ile: Rapid Ecological <strong>Assessment</strong> (REA)<br />

Table 21: Overview <strong>of</strong> data obtained for REA strength-weakness pr<strong>of</strong>ile<br />

Criteria Strength Weakness<br />

A. Addressed<br />

biodiversity<br />

levels<br />

B. Addressed<br />

ecosystem<br />

types<br />

C. Geographical<br />

scale <strong>of</strong><br />

applicability<br />

D. Level <strong>of</strong><br />

approach<br />

E. Implementation<br />

style<br />

F. Suitability for<br />

different users<br />

J. Possibility <strong>of</strong><br />

scoping<br />

assessment<br />

• Performed at the species level and<br />

is extremely relevant <strong>to</strong> this level <strong>of</strong><br />

biodiversity 1<br />

• Has been implemented in a wide<br />

range <strong>of</strong> ecosystems, from<br />

grasslands, forests <strong>to</strong> various<br />

aquatic systems 2<br />

• Can be adapted <strong>to</strong> any ecosystem •<br />

type 1,2<br />

• Both terrestrial and aquatic REA<br />

3,4 ,5<br />

case studies exist<br />

• Implementation at both regional 4<br />

and local scale 7,8 throughout the<br />

world 2<br />

• Resulted in the establishment <strong>of</strong><br />

protected <strong>areas</strong>, development <strong>of</strong><br />

management plans and zonation,<br />

design <strong>of</strong> biological corridors and<br />

development <strong>of</strong> threat abatement<br />

programmes 2<br />

• Has been implemented at private<br />

and public sec<strong>to</strong>r level 3,4<br />

• An excellent approach for obtaining<br />

data on large <strong>areas</strong> <strong>with</strong> very little<br />

available data, benefitting research<br />

programmes, enabling planning and<br />

aiding in the identification <strong>of</strong><br />

stakeholders and constituencies 2, 6<br />

• Determines ecological information<br />

actually present in the area <strong>of</strong><br />

interest and identifies conservation<br />

targets 2<br />

• Implemented by national authorities<br />

and local user groups 2<br />

• Designed for use by preferably,<br />

local or national experts 2<br />

• Local users groups are able <strong>to</strong><br />

contribute <strong>to</strong> the identification<br />

stage 7,8<br />

• International experts have also<br />

taken part in REAs 7,8<br />

• Scoping assessment is performed<br />

during the initial planning stages 2<br />

• Cost, timing, team composition and<br />

objectives are identified 2<br />

• Objectives include the scale, and<br />

therefore, level <strong>of</strong> landscape<br />

classification and the number <strong>of</strong><br />

assessed taxonomic groups 2<br />

• Genetic diversity is not addressed<br />

• Further analysis <strong>of</strong> ecosystems<br />

requires guidance for<br />

understanding their functioning 1<br />

No information found in literature or<br />

from interviews<br />

• No information found in literature or<br />

from interviews<br />

• No information found in literature or<br />

from interviews<br />

• It does not rely on global and<br />

national species data<br />

• It does not rely on global<br />

ecosystem data<br />

• No information found in literature or<br />

from interviews<br />

• No information found in literature or<br />

from interviews<br />

199


A5-5<br />

Criteria Strength Weakness<br />

K. Consideration<br />

<strong>of</strong> threats<br />

L. Moni<strong>to</strong>ring<br />

recommenddations<br />

M. Management<br />

recommenddations<br />

Source: Own design<br />

• <strong>Assessment</strong> <strong>of</strong> existing and<br />

potential threats <strong>to</strong> species and<br />

vegetation types in and adjacent <strong>to</strong><br />

study area 2<br />

• Often divided in<strong>to</strong> low, medium or<br />

high risk 2<br />

• Moni<strong>to</strong>ring needs will be part <strong>of</strong> the<br />

management recommendations 2<br />

• Valuable data can be accumulated<br />

through moni<strong>to</strong>ring which may give<br />

an indication <strong>of</strong> the effectiveness <strong>of</strong><br />

conservation management 7<br />

• Management recommendations are<br />

formulated <strong>to</strong> promote long term<br />

viability <strong>of</strong> biodiversity 2<br />

• Include aspects such as how <strong>to</strong><br />

zone a site for mixed uses, active<br />

management actions, consideration<br />

<strong>of</strong> watershed issues and moni<strong>to</strong>ring<br />

needs 2<br />

• Exact recommendations are made<br />

case by case 7<br />

• No information found in literature or<br />

from interviews<br />

• No information found in literature or<br />

from interviews<br />

• No information found in literature or<br />

from interviews<br />

1 Convention on Biological Diversity (2005): Guidelines for the rapid ecological assessment <strong>of</strong><br />

biodiversity in inland water, coastal and marine <strong>areas</strong>. Secretariat <strong>of</strong> the Convention on Biological<br />

Diversity, Montreal, Canada, CBD Technical Series no. 22 and the Secretariat <strong>of</strong> the Ramsar<br />

Convention, Gland, Switzerland, Ramsar Technical Report no.1<br />

2 Sayre R., Rocca E., Sedaghatk G., Young B., Keel S., Rocca R. L., Shepard S. (1999): Nature in<br />

Focus: Rapid ecological assessment; The Nature Conservancy; Island Press; Washing<strong>to</strong>n D C<br />

3 Gillison A. N., Liswanti N., Arief Rachman I. (1996): Rapid ecological assessment; Kerinci Seblat<br />

National Park Buffer Zone; Preliminary report on plant ecology and overview <strong>of</strong> biodiversity<br />

assessment; Centre for International Forestry Research (CIFOR); Working Paper No. 14;<br />

4 Grabherr G. (2000): Rapid biodiversity assessment for the Alps ecoregion; WWF Alpine Programme<br />

5 Smith S. D. A. (2005): Rapid assessment <strong>of</strong> invertebrate biodiversity on rocky shores: where there’s<br />

a whelk there’s a way; Biodiversity and Conservation; 14:3565–3576<br />

6 Interview Partner I<br />

7 Meerman J. C., Holland B., Howe A., Jones H. L., Miller B. W. (2003): Rapid ecological assessment:<br />

Mayflower Bocawina National Park Volume I; prepared for: Friends <strong>of</strong> Mayflower under a grant<br />

provided by PACT & UNDP/GEF<br />

8 Meerman J. C. (2004): Rapid ecological assessment: Columbia River Forest Reserve: Past<br />

Hurricane Iris; commissioned by Ya`axché Conservation Trust and Toledo Institute for Development<br />

and Environment<br />

200


APPENDIX<br />

A6<br />

Methods for Site Choice: Detailed <strong>Assessment</strong> Results<br />

Criteria G: Which methods were employed for site choice? Site visits (C16), surveys (C17),<br />

additional methods (C18)<br />

A6-1 High Conservation Value (HCV) Concept<br />

Table 22: Overview <strong>of</strong> methods employed by the HCV concept for site choice<br />

General<br />

• Due <strong>to</strong> its flexibility HCV uses a wide range <strong>of</strong> different methods<br />

Remark<br />

Subcriteria<br />

methods<br />

Employed<br />

Inven<strong>to</strong>ries • No examples found in literature<br />

Site Visits<br />

(C16)<br />

Rapid<br />

assessment<br />

Indica<strong>to</strong>r<br />

species<br />

Ground<br />

truthing<br />

• Species recordings by the assessment team and/ or stakeholders 2<br />

• Use <strong>of</strong> bird indica<strong>to</strong>rs is useful <strong>to</strong> determine habitat quality 1<br />

• Used in high biodiversity <strong>areas</strong>, <strong>to</strong> indicate endemic, rare or<br />

threatened species 1<br />

• Ground truthing <strong>of</strong> maps 1<br />

Surveys<br />

(C17)<br />

Additional<br />

Methods<br />

(C18)<br />

Source: own design<br />

Stakeholder<br />

surveys<br />

Other<br />

methods<br />

• Important part <strong>of</strong> site identification 2<br />

• Used for gathering data on species sightings 3<br />

• Used <strong>to</strong> determine socio-economic situation, also in the wider<br />

landscape 4<br />

• Used <strong>to</strong> assess current management strategies or environmental<br />

considerations <strong>with</strong>in an operating area 3<br />

• Remote sensing 1<br />

• Literature reviews 1,3<br />

1 Rayden T., Kruglianskas I., Stewart C. (2009): An assessment <strong>of</strong> potential High Conservation Values<br />

<strong>with</strong>in Cabo Delgado Province, Mozambique; Testing the implementation <strong>of</strong> HCV criteria for bi<strong>of</strong>uels<br />

feeds<strong>to</strong>ck developments in Southern Africa; Pr<strong>of</strong>orest, Oxford; GTZ, Eschborn<br />

2 Stewart, C., George, P., Rayden, T., Nussbaum, R. (2008): Good Practice Guidelines for High<br />

Conservation Value <strong>Assessment</strong> - A practical Guide for Practioners and Audi<strong>to</strong>rs; Pr<strong>of</strong>orest; Oxford<br />

3<br />

Rainforest Alliance SmartWood Program (2005): High Conservation Value Forest (HCVF)<br />

<strong>Assessment</strong> Report for: Serapung Unit final report; Rainforest Alliance; New York<br />

4 Stewart C. (2009)b: An assessment <strong>of</strong> potential High Conservation Values in Northern Krabi<br />

Province, Thailand, final report; Pr<strong>of</strong>orest; Oxford<br />

201


A6<br />

A6-2 Key Biodiversity Areas (KBA) Approach<br />

Table 23: Overview <strong>of</strong> methods employed by the KBA approach for site choice<br />

Subcriteria<br />

methods<br />

Employed<br />

Inven<strong>to</strong>ries • Taxa for which inven<strong>to</strong>ries can be made include plants, birds,<br />

mammals, herpet<strong>of</strong>auna, freshwater fish, butterflies and<br />

dragonflies 1 , etc<br />

• Inven<strong>to</strong>ries should be made for as many species as possible from<br />

the entire taxonomic spectrum 2<br />

Site Visits<br />

(C16)<br />

Additional<br />

Methods<br />

(C18)<br />

Source: own design<br />

Stakeholder<br />

surveys<br />

Rapid<br />

assessment<br />

Indica<strong>to</strong>r<br />

species<br />

Other<br />

methods<br />

• Refinement <strong>of</strong> delineated KBA occurs by stakeholder involvement 3<br />

• Extensive field surveys prior <strong>to</strong> identification have been part <strong>of</strong> the<br />

most successful processes 2<br />

• Sites are identified using site-occurrence data for species <strong>of</strong><br />

conservation significance, following the aspects <strong>of</strong> vulnerability and<br />

irreplaceability 3<br />

• No examples found in literature<br />

• Identification has <strong>of</strong>ten solely been based on literature, museum<br />

specimens and remotely sensed data 2<br />

1 Eken G., Bozdoğan M., Karataş A., Lise Y. (2004): Key Biodiversity Areas: Identifying the world's<br />

priority sites for conservation – lessons learned from Turkey; Doğa Derneği, Ankara, Turkey<br />

2 Langhammer P. F., Bakarr M. I., Bennun L., Brooks T. M., Clay P. C., Darwall W., De Silva N., Edgar<br />

G. J., Eken G., Fishpool L. D. C., da Fonseca G. A. B., Foster M. N., Knox D. H., Matiku P., Radford<br />

E. A., Rodrigues A. S. L., Salaman P., Sechrest W., Tord<strong>of</strong>f A. W. (2007): Identification and analysis<br />

<strong>of</strong> Key Biodiversity Areas: Targets for comprehensive protected <strong>areas</strong> system; IUCN, Gland<br />

3 Eken G., Bennun L., Brooks T. M., Darwall W., Fishpool L. D. C., Foster M., Knox D., Langhammer<br />

P., Matiku P., Radford E., Salaman P., Sechrest W., Smith M. L., Spec<strong>to</strong>r S., Tord<strong>of</strong>f A. (2004): Key<br />

biodiversity <strong>areas</strong> as site conservation targets; Bioscience; 54(12):1110-1118<br />

202


APPENDIX<br />

A6-3 Ecoregion-Based Conservation (ERBC) Approach<br />

Table 24: Overview <strong>of</strong> methods employed by the ERBC approach for site choice<br />

• Global ecoregion map - ecoregions nested <strong>with</strong>in biogeographical<br />

biomes & realms 2<br />

• Delineation first at a coarse and then at a fine scale 1<br />

• Coarse scale is represented by ecological groups or assemblages <strong>of</strong><br />

General<br />

plant species in repeated patterns across the ecoregion 2<br />

Remark<br />

• Delineation resolution is then increased until sub-regions are drawn<br />

• Finer resolution: species for which distributional and population data<br />

are available through data and expert sources 3<br />

• Both rare & common species selected from representative taxa 3<br />

Subcriteria<br />

methods<br />

Employed<br />

Inven<strong>to</strong>ries • Used as part <strong>of</strong> an REA 3<br />

Site Visits<br />

(C16)<br />

Additional<br />

Methods<br />

(C18)<br />

Source: own design<br />

Stakeholder<br />

surveys<br />

Expert<br />

surveys<br />

Rapid<br />

assessment<br />

Indica<strong>to</strong>r<br />

species<br />

Other<br />

methods<br />

• Stakeholder surveys <strong>with</strong>in a workshop setting 4<br />

• Expert surveys <strong>with</strong>in a workshop setting 4<br />

• Used <strong>to</strong> aid delineation <strong>of</strong> sites 6 and as part <strong>of</strong> an REA 3<br />

• Used as part <strong>of</strong> an REA 3<br />

• Determine minimum habitat requirements <strong>of</strong> focal species, as proxies<br />

<strong>to</strong> cover requirements <strong>of</strong> all other species 4<br />

• Indica<strong>to</strong>rs, predictive models 4, 5<br />

• Threat assessments for <strong>identify</strong>ing priority sites 5<br />

• Remotely sensed data 6<br />

1 Olson D. M., Dinerstein E., Wikramanayake E. D., Burgess N. D., Powell G. V. N., Underwood E. C.,<br />

D’Amico J. A. J., I<strong>to</strong>ua I., Strand H. E., Morrison J. C., Loucks C. J., Allnutt T. F., Ricketts T. H.,<br />

Kura Y., Lamoreux J. F., Wettengel W. W., Hedao P., Kassem K. R. (2001): Terrestrial ecoregions<br />

<strong>of</strong> the world: A new map <strong>of</strong> life on earth; BioScience; 51(11):933-938<br />

2 Marshall R. M., Anderson S., Batcher M., Comer P., Cornelius S., Cox R., Gondor A., Gori D.,<br />

Humke J., Paredes Aguilar R., Parra I. E., Schwartz S. (2000): An ecological analysis <strong>of</strong><br />

conservation priorities in the Sonoran Desert ecoregion; prepared by TNC Arizona Chapter, Sonoran<br />

Institute, and Institu<strong>to</strong> del Medio Ambiente y el Desarrollo Sustentable del Estado de Sonora <strong>with</strong><br />

support from Department <strong>of</strong> Defense Legacy Program, Agency and Institutional partners<br />

3 Interview Partner I<br />

4 Dinerstein E., Powell G., Olson D., Wikramanayake E. D., Abell R., Loucks C., Underwood E., Allnutt<br />

T., Wettengel W., Ricketts T., Strand H., O'Connor S., Burgess N. (2000): A workbook for<br />

conducting biological assessments and developing biodiversity visions for ecoregion-based<br />

conservation; Conservation Science Program, World Wildlife Fund; Washing<strong>to</strong>n, D.C.<br />

5 Interview Partner J<br />

6 Dinerstein E., Olson D., Atchley J., Loucks C., Contreras-Balderas S., Abell R., Iñigo E., Enkerlin E.,<br />

Williams C., Castilleja G. (2001): Ecoregion-based conservation in the Chihuahuan Desert: A<br />

biological assessment; TNC, PRONATURA Noreste, and the Institu<strong>to</strong> Tecnologico y de Estudios<br />

Superiores de Monterrey (ITESM)<br />

203


A6<br />

A6-4 Focal Species Approach (FSA)<br />

Table 25: Overview <strong>of</strong> methods employed by the FSA for site choice<br />

• First, the focal community must be identified based on the threats<br />

present <strong>to</strong> the area <strong>of</strong> interest 4<br />

General<br />

• Statistical models have been used <strong>to</strong> <strong>identify</strong> focal species<br />

Remark<br />

following inven<strong>to</strong>ries 2,5<br />

• Mostly birds have been used as focal species 3<br />

Subcriteria<br />

methods<br />

Employed<br />

Inven<strong>to</strong>ries • Inven<strong>to</strong>ries <strong>of</strong> mammals and bird species 3<br />

Site Visits<br />

(C16)<br />

Surveys<br />

(C17)<br />

Additional<br />

Methods<br />

(C18)<br />

Source: own design<br />

Rapid<br />

assessment<br />

Indica<strong>to</strong>r<br />

species<br />

Expert<br />

surveys<br />

Other<br />

methods<br />

• To validate existing data sets through visual and audio sightings<br />

and thus, determine focal species 1<br />

• Vegetation surveys <strong>of</strong> remnant patches <strong>to</strong> validate delineation 4<br />

• Determining <strong>of</strong> habitat quality in remnant patches 2,4<br />

• Focal species 2,4,5<br />

• Focal species identified by expert surveys 3<br />

• Ranking <strong>of</strong> threats by expert survey 1<br />

• Expert surveys used <strong>to</strong> determine habitat requirements <strong>of</strong> focal<br />

species <strong>to</strong> estimate viable population sizes 1<br />

• Satellite imagery <strong>to</strong> map patches and assess patch connectivity 4,5<br />

1 Brooker L. (2002): The application <strong>of</strong> focal species knowledge <strong>to</strong> landscape design in agricultural<br />

lands using the ecological neighbourhood as a template; Urban and Landscape Planning; 60(4):185-<br />

210<br />

2 Bani L., Baiet<strong>to</strong> M., Bot<strong>to</strong>ni L., Masse R. (2002): The use <strong>of</strong> focal species in designing a habitat<br />

network for a lowland area <strong>of</strong> Lombardy, Italy; Conservation Biology; 16(3):826-831<br />

3 Hess G. R., King T. J. (2002): Planning open spaces for wildlife; I. selecting focal species using a<br />

Delphi survey approach; Landscape and Urban Planning; 58(1):25-40<br />

4<br />

Lambeck R. J. (1997): Focal species: A multi-species umbrella for nature conservation;<br />

Conservation Biology; 11(4):849-856<br />

5 Huggett, A. (2007): A review <strong>of</strong> the focal species approach in Australia; Land & Water Australia,<br />

Canberra<br />

204


APPENDIX<br />

A6-5 Rapid Ecological <strong>Assessment</strong> (REA)<br />

Table 26: Overview <strong>of</strong> methods employed by the REA for site choice<br />

General<br />

• Initially delineate vegetation or land use-land cover classes through<br />

Remark<br />

remote sensing 2<br />

• Overflight <strong>of</strong> study area <strong>to</strong> provide a general familiarity and <strong>to</strong><br />

collect valuable data on vegetation types 2<br />

Subcriteria<br />

methods<br />

Employed<br />

Inven<strong>to</strong>ries • Inven<strong>to</strong>ries <strong>of</strong> flora and fauna specimens 2<br />

Site Visits<br />

(C16)<br />

Surveys<br />

(C17)<br />

Additional<br />

Methods<br />

(C18)<br />

Source: own design<br />

Rapid<br />

assessment<br />

Indica<strong>to</strong>r<br />

species<br />

Stakeholder<br />

surveys<br />

Other<br />

methods<br />

• Vegetation surveys and fauna sampling <strong>of</strong> the most visible, easily<br />

surveyed and well known taxa 2<br />

• Use <strong>of</strong> indica<strong>to</strong>r taxa <strong>to</strong> <strong>identify</strong> species richness 2<br />

• Stakeholder surveys for gaining information on traditional<br />

knowledge 1<br />

• Used <strong>to</strong> conduct socio-economic assessment around and <strong>with</strong>in<br />

the study area 2<br />

• Aerial pho<strong>to</strong>graphy, satellite imagery 2,3<br />

1 Convention on Biological Diversity (2005): Guidelines for the rapid ecological assessment <strong>of</strong><br />

biodiversity in inland water, coastal and marine <strong>areas</strong>. Secretariat <strong>of</strong> the Convention on Biological<br />

Diversity, Montreal, Canada, CBD Technical Series no. 22 and the Secretariat <strong>of</strong> the Ramsar<br />

Convention, Gland, Switzerland, Ramsar Technical Report no.1<br />

2 Sayre R., Rocca E., Sedaghatk Young B., Keel S., Rocca R. L., Shepard S. (2000): Nature in Focus:<br />

Rapid ecological assessment; The Nature Conservancy; Island Press; Washing<strong>to</strong>n D. C.<br />

3 Gillison A. N., Liswanti N., Arief Rachman I. (1996): Rapid ecological assessment; Kerinci Seblat<br />

National Park Buffer Zone; Preliminary report on plant ecology and overview <strong>of</strong> biodiversity<br />

assessment; Centre for International Forestry Research (CIFOR); Working Paper No. 14<br />

205


A7<br />

A7<br />

Required Resources: Detailed <strong>Assessment</strong> Results<br />

Criterion H: Which resources are required for identification? Financial resources (C19), human<br />

resources (C220), required time (C21)<br />

A7-1 High Conservation Value (HCV) Concept<br />

Table 27: Overview <strong>of</strong> resources required for the HCV concept 107<br />

HCV<br />

Financial<br />

Resources (€) 108 Human Resources Time Required Site size<br />

(C20)<br />

(C21)<br />

(ha)<br />

(C19)<br />

Interview • 100,000 • n.d. • 3 months • 10 million<br />

Partner C<br />

Interview<br />

Partner D<br />

Interview<br />

Partner E<br />

Interview<br />

Partner F<br />

Interview<br />

Partner G<br />

• 7,500-11,000<br />

(medium - large<br />

sized operations)<br />

• Minimum cost:<br />

5,600<br />

• 20,000-25,000<br />

(extensive field<br />

work)<br />

• 6,500-10,000<br />

(valid data<br />

available)<br />

• n.d.<br />

• n.d.<br />

• High impact<br />

operations:<br />

combination <strong>of</strong><br />

international and<br />

national experts;<br />

• Low impact<br />

operations: nonexpert<br />

users,<br />

experts required<br />

for validation<br />

• Experts always<br />

required<br />

• Combination <strong>of</strong><br />

international and<br />

national experts<br />

• Combination <strong>of</strong><br />

international and<br />

national experts<br />

• 2 teams: 1 socioeconomic<br />

and 1<br />

inven<strong>to</strong>ry team<br />

• Combination <strong>of</strong><br />

international and<br />

national experts<br />

• If possible use<br />

national experts<br />

• Minimum team:<br />

3-4<br />

• Few days<br />

• 6-12 months<br />

(including<br />

seasonally based<br />

visits)<br />

• Within<br />

management<br />

plan: 2-3 years<br />

• Individual<br />

assessment: 3<br />

months<br />

• Within<br />

management<br />

plan: 2-3 years<br />

• Field work: 2<br />

weeks<br />

• n.d.<br />

• Small scale, low<br />

impact operations<br />

• 100-10,000<br />

(average FMU)<br />

• n.d.<br />

• > 200,000<br />

(Central Africa)<br />

• n.d.<br />

107 All information was obtained through expert interviews.<br />

108 Converted currency: XE (1995-2009): The Universal Currency Converter; (retrieved 18.10.2009)<br />

http://www.xe.com/<br />

1 US$ = 0.67 €; 1 € = 1.49 US$<br />

1 GB£ = 1.13 €; 1 € = 0.89 GB£<br />

206


APPENDIX<br />

HCV<br />

(continued)<br />

Interview<br />

Partner K<br />

Minimum<br />

and<br />

maximum<br />

values<br />

Financial<br />

Resources (€) 109<br />

(C19)<br />

• 35,000-65,000<br />

• 5,600 - 65,000<br />

Human Resources<br />

(C20)<br />

• 1 senior<br />

consultant<br />

• (20-30years<br />

international<br />

experience)<br />

• several<br />

consultants <strong>with</strong><br />

national expertise<br />

• Combination <strong>of</strong><br />

international and<br />

national experts<br />

• Minimum team:<br />

Time Required<br />

(C21)<br />

• Field work: 7-14<br />

days;<br />

• Individual<br />

assessment: 1-2<br />

months<br />

• Field work: 7-13<br />

days;<br />

• 1-6 months<br />

Site size<br />

(ha)<br />

• Large scale area:<br />

20,000-100,000<br />

~ 100-200,000<br />

3-4<br />

Key: n.d. = not determined; ha = hectares; FMU = forest management unit<br />

Source: Own design<br />

109 Converted currency: XE (1995-2009): The Universal Currency Converter; (retrieved 18.10.2009)<br />

http://www.xe.com/<br />

1 US$ = 0.67 €; 1 € = 1.49 US$<br />

1 GB£ = 1.13 €; 1 € = 0.89 GB£<br />

207


A7<br />

A7-2 Key Biodiversity Areas (KBA) Approach and<br />

A7-3 Ecoregion-Based Conservation (ERBC) Approach<br />

Table 28: Overview <strong>of</strong> resources required for the KBA and ERBC approach 110<br />

KBA<br />

Interview<br />

Partner M<br />

ERBC<br />

Interview<br />

Partner I<br />

Interview<br />

Partner J<br />

Interview<br />

Partner G<br />

Minimum<br />

and<br />

maximum<br />

values<br />

Financial<br />

Resources 111<br />

(€) (C19)<br />

• Average <strong>of</strong> 650/<br />

KBA<br />

• Country/ regions<br />

<strong>with</strong> 50 KBA =<br />

~ 32,500<br />

Financial<br />

Resources 76<br />

(€ ) (C19)<br />

• 170,000-200,000<br />

(USA)<br />

• ~ 135,000 (USA)<br />

• ~ 100,000-<br />

235,000<br />

(internationally)<br />

• Eg. 1,300,000<br />

(China)<br />

• n.d.<br />

• 100,000-235,000<br />

(excluding<br />

example from<br />

China)<br />

Human Resources<br />

(C20)<br />

In general:<br />

• For data collection<br />

and compilations:<br />

teams <strong>of</strong> 3-6<br />

experts<br />

• Data validation<br />

through expert<br />

review (normally<br />

workshop form)<br />

Human Resources<br />

(C20)<br />

• Very expert<br />

intensive<br />

• International and<br />

national experts<br />

• n.d.<br />

• Few international<br />

and/ national<br />

experts<br />

• Few <strong>to</strong> many<br />

international and<br />

national experts<br />

Key: n.d. = not determined; ha = hectares<br />

Source: Own design<br />

Time required<br />

(C21)<br />

• National<br />

identification:<br />

~ 3 years<br />

Time required<br />

(C21)<br />

Site size (ha)<br />

• n.d.<br />

Site size (ha)<br />

• 1,5-2 years (USA) • 400,000-<br />

3,600,000<br />

• ~ 2 years (USA)<br />

• Eg. Almost 3<br />

years (China)*<br />

• ~ 2 years<br />

• 1,5-2 years<br />

(excluding<br />

example from<br />

China)<br />

• n.d.<br />

• n.d.<br />

• 400,000-<br />

3,600,000<br />

110 All information was obtained through expert interviews.<br />

111 Converted currency: XE (1995-2009): The Universal Currency Converter; (retrieved 18.10.2009)<br />

http://www.xe.com/<br />

1 US$ = 0.67 €; 1 € = 1.49 US$<br />

1 GB£ = 1.13 €; 1 € = 0.89 GB£<br />

208


APPENDIX<br />

A7-4 Focal Species Approach (FSA) and<br />

A7-5 Rapid Ecological <strong>Assessment</strong> (REA)<br />

Table 29: Overview <strong>of</strong> resources required for the FSA 112 and REA 113<br />

Financial<br />

FSA Resources 114 Human Resources<br />

(€)<br />

(C20)<br />

(C19)<br />

• ~ 6,500-60,000<br />

Interview<br />

Partner O<br />

• University<br />

students<br />

• National experts<br />

• Non-experts:<br />

decrease quality<br />

and credibility <strong>of</strong><br />

outcome<br />

Time required<br />

(C21)<br />

• Identification <strong>of</strong><br />

focal species: 3-4<br />

months<br />

• Focal species<br />

already available:<br />

1-2 months<br />

Site size (ha)<br />

• ~ 1,000s -<br />

100,000s<br />

REA<br />

Interview<br />

Partner I<br />

Interview<br />

Partner J<br />

Sayre et<br />

al. 2000<br />

Minimum<br />

and<br />

maximum<br />

values<br />

Financial<br />

Resources 79 (€)<br />

(C19)<br />

• n.d.<br />

• ~ 6,500 - 60,000<br />

• Maybe even<br />

670,000<br />

• Terrestrial REA:<br />

50,000 - 170,000<br />

• 50,000-170,000<br />

Human Resources<br />

(C20)<br />

• Very expert<br />

intensive<br />

Time required<br />

(C21)<br />

• ~ 14 months<br />

• n.d.<br />

• n.d. • n.d. • n.d.<br />

• Experts required<br />

• Numbers can vary<br />

greatly<br />

• Common <strong>to</strong> have<br />

multidisciplinary,<br />

multi-institutional<br />

teams<br />

• In general: very<br />

expert intensive<br />

• Very expert<br />

intensive<br />

• International and<br />

national experts<br />

Key: n.d. = not determined; ha = hectares<br />

Source: Own design<br />

• ~ 12 months<br />

• 12 months<br />

• n.d.<br />

• n.d.<br />

Site size (ha)<br />

112 All information was obtained through expert interviews.<br />

113 All information was obtained through expert interviews and literature research.<br />

114 Converted currency: XE (1995-2009): The Universal Currency Converter; (retrieved 18.10.2009)<br />

http://www.xe.com/<br />

1 US$ = 0.67 €; 1 € = 1.49 US$<br />

1 GB£ = 1.13 €; 1 € = 0.89 GB£<br />

209


A8<br />

A8<br />

Data Requirements: Detailed <strong>Assessment</strong> Results<br />

Criterion I: Which data is required for the identification <strong>of</strong> important <strong>areas</strong>? Use <strong>of</strong> existing<br />

data (C22), data acquisition (C23), data validation (C24), use <strong>of</strong> remote sensing (C25)<br />

A8-1 High Conservation Value (HCV) Concept<br />

Table 30: List <strong>of</strong> data required by the HCV concept<br />

Criterion I<br />

Data<br />

Requirements<br />

Source: Own design<br />

Use <strong>of</strong> existing<br />

data (C22)<br />

Data<br />

acquisition<br />

(C23)<br />

Data validation<br />

(C24)<br />

Use <strong>of</strong> remote<br />

sensing (C25)<br />

• Use as much existing data as possible from a wide range<br />

<strong>of</strong> different sources (macro- and micro scale maps and<br />

data sources) 1<br />

• Remote sensing for landscape level assessments 1<br />

• Expert surveys 1<br />

• Stakeholder surveys 1<br />

• Field surveys 1<br />

• Documentary evidence 1<br />

• Depends on availability, quality and amount <strong>of</strong> existing<br />

data<br />

• Expert surveys 1<br />

• Field surveys 1<br />

• Ground truthing 1<br />

• Used in data acquisition 1<br />

• Used for macro-scale mapping 2<br />

• Essential in establishing broad framework for site scale<br />

decisions 3<br />

• Aids in determining appropriate limits <strong>to</strong> landscape scale<br />

assessment 3<br />

• Both aerial pho<strong>to</strong>graphy and satellite imagery 3<br />

1 Stewart C., George P., Rayden T., Nussbaum R. (2008): Good practice guidelines for High<br />

Conservation Value assessment - a practical guide for practitioners and audi<strong>to</strong>rs; Pr<strong>of</strong>orest; Oxford<br />

2 Stewart C., Rayden T. (2009): Mapping High Conservation Values at large scales for effective sitelevel<br />

management; public consultation draft 1, HCV Resource Network<br />

3 Stewart C., Rayden T. (2009): Mapping High Conservation Values at large scales for effective sitelevel<br />

management; public consultation draft 1, HCV Resource Network<br />

210


APPENDIX<br />

A8-2 Key Biodiversity Areas (KBA) Approach<br />

Table 31: List <strong>of</strong> data required by the KBA approach<br />

• IUCN red list provides essential information on<br />

conservation status; critically endangered, endangered or<br />

vulnerable 1<br />

• Supplement IUCN lists <strong>with</strong> secondary databases, such<br />

Use <strong>of</strong> existing<br />

as IBA, IPA, AZE 1<br />

data (C22)<br />

• Consults primary literature and experts 1<br />

• Uses his<strong>to</strong>rical and contemporary survey data on<br />

distribution and population trends 1<br />

• Museum specimens 2<br />

• Remote sensing 2<br />

• Field surveys 1<br />

Criterion I Data<br />

• Inven<strong>to</strong>ries 1<br />

acquisition<br />

• Museum specimens 1,2<br />

(C23)<br />

• Refinement <strong>of</strong> delineated KBA through stakeholder<br />

surveys 3<br />

Data<br />

Requirements<br />

Source: Own design<br />

Data validation<br />

(C24)<br />

Use <strong>of</strong> remote<br />

sensing (C25)<br />

• Existing IBA, IPA and AZE sites must be confirmed<br />

through field surveys 1<br />

• Changes in global threat status and taxonomy must also<br />

be verified through field surveys 1<br />

• Species identification must be tracked back <strong>to</strong> sources in<br />

museum collections or herbariums 1<br />

• Peer reviewing by experts 2<br />

• Aids in the identification <strong>of</strong> KBA 2<br />

• Not ideal for capturing environmental viability <strong>of</strong> aquatic<br />

systems 1<br />

• Used for moni<strong>to</strong>ring activities, however must be validated<br />

by ground truthing 1<br />

• Both aerial pho<strong>to</strong>graphy and satellite imagery 1<br />

1 Langhammer P. F., Bakarr M. I., Bennun L., Brooks T. M., Clay P. C., Darwall W., De Silva N., Edgar<br />

G. J., Eken G., Fishpool L. D. C., da Fonseca G. A. B., Foster M. N., Knox D., Matiku P., Radford E.<br />

A., Rodrigues A. S. L., Salaman P., Sechrest W., Tord<strong>of</strong>f A. W. (2007): Identification and analysis <strong>of</strong><br />

Key Biodiversity Areas: Targets for comprehensive protected <strong>areas</strong> system; IUCN, Gland<br />

2 Interview Partner M<br />

3 Eken G., Bennun L., Brooks T. M., Darwall W., Fishpool L. D. C., Foster M., Knox D., Langhammer<br />

P., Matiku P., Radford E., Salaman P., Sechrest W., Smith M. L., Spec<strong>to</strong>r S., Tord<strong>of</strong>f A. (2004): Key<br />

Biodiversity Areas as site conservation targets; Bioscience 54(12):1110-1118<br />

211


A8<br />

A8-3 Ecoregion-Based Conservation (ERBC) Approach<br />

Table 32: List <strong>of</strong> data required by the ERBC approach<br />

Criterion I<br />

Data<br />

Requirements<br />

Source: Own design<br />

Use <strong>of</strong> existing<br />

data (C22)<br />

Data<br />

acquisition<br />

(C23)<br />

Data validation<br />

(C24)<br />

Use <strong>of</strong> remote<br />

sensing (C25)<br />

• Use as much existing data as possible 1<br />

• Employs information from Global 200 ecoregion assessment 2<br />

• Determine and validate existing data during planning phase 2<br />

• Review scientific data, previous biodiversity action plans,<br />

conservation strategies and priority planning exercises 2<br />

• Biological assessments <strong>to</strong> record the distribution <strong>of</strong> species,<br />

communities and habitats, ecological processes and current<br />

and future threats 1<br />

• Field surveys help delineation 3 and fill in information gaps 2<br />

• Remote sensing 3<br />

• Expert workshops made up <strong>of</strong> experts and stakeholders 2,4<br />

• All acquired data is digitised in<strong>to</strong> GIS 4<br />

• Determine biophysical data sets <strong>to</strong> determine how well the<br />

area networks identified for conservation represent the<br />

biophysical diversity <strong>of</strong> the ecoregion 4<br />

• Field surveys 3<br />

• Ground truthing 3<br />

• Used <strong>to</strong> assess current conditions 3<br />

• Used <strong>to</strong> moni<strong>to</strong>r habitat quality trends, e<strong>special</strong>ly in<br />

inaccessible <strong>areas</strong> 2<br />

• Satellite imagery used <strong>to</strong> assess the effects <strong>of</strong> threats 3,5<br />

• Both aerial pho<strong>to</strong>graphy and satellite imagery 3<br />

A8-4 Focal species Approach (FSA)<br />

1 Groves G., Valutis L., Vosick D., Neely B., Whea<strong>to</strong>n K., Touval J., Runnels B. (2000): Designing a<br />

Geography <strong>of</strong> Hope: A practitioner’s handbook for ecoregional conservation planning; TNC<br />

2 Dinerstein E., Powell G., Olson D., Wikramanayake E. D., Abell R., Loucks C., Underwood E., Allnutt<br />

T., Wettengel W., Ricketts T., Strand H., O'Connor S., Burgess N. (2000): A workbook for<br />

conducting biological assessments and developing biodiversity visions for ecoregion-based<br />

conservation; Conservation Science Program, World Wildlife for Fund; Washing<strong>to</strong>n, D.C.<br />

3 Dinerstein E., Olson D., Atchley J., Loucks C., Contreras-Balderas S., Abell R., Iñigo E., Enkerlin E.,<br />

Williams C., Castilleja G. (2001): Ecoregion-based conservation in the Chihuahuan Desert: A<br />

biological assessment; TNC, PRONATURA Noreste, and the Institu<strong>to</strong> Tecnologico y de Estudios<br />

Superiores de Monterrey (ITESM)<br />

4 Marshall R. M., Anderson S., Batcher M., Comer P., Cornelius S., Cox R., Gondor A., Gori D.,<br />

Humke J., Paredes Aguilar R., Parra I. E., Schwartz S. (2000): An Ecological Analysis <strong>of</strong><br />

Conservation Priorities in the Sonoran Desert Ecoregion; Prepared by TNC Arizona Chapter,<br />

Sonoran Institute, and Institu<strong>to</strong> del Medio Ambiente y el Desarrollo Sustentable del Estado de<br />

Sonora <strong>with</strong> support from Department <strong>of</strong> Defense Legacy Program, Agency and Institutional<br />

partners.<br />

5 Lassen B., Savoia S. (2005): European Alpine Programme: Ecoregion conservation plan for the<br />

Alps; World Wildlife Fund<br />

212


APPENDIX<br />

Table 33: List <strong>of</strong> data required by the FSA<br />

Criterion I<br />

Data<br />

Requirements<br />

Source: Own design<br />

Use <strong>of</strong> existing<br />

data (C22)<br />

Data<br />

acquisition<br />

(C23)<br />

Data validation<br />

(C24)<br />

Use <strong>of</strong> remote<br />

sensing (C25)<br />

• Use <strong>of</strong> existing data sets <strong>to</strong> determine focal species<br />

occurrence 2<br />

• Use <strong>of</strong> national, regional or local digital data sources 1,2<br />

• Literature reviews <strong>to</strong> determine focal species habitat<br />

requirements and estimated range <strong>of</strong> distribution 2<br />

• Literature reviews <strong>to</strong> estimate viable population sizes 2<br />

• Expert surveys <strong>to</strong> determine habitat requirements and range<br />

<strong>of</strong> distribution <strong>of</strong> focal species 2<br />

• Expert surveys <strong>to</strong> estimate viable population sizes 2<br />

• Field surveys 1,4<br />

• Remote sensing <strong>to</strong> <strong>identify</strong> remnant patches 1,3<br />

• Field surveys <strong>to</strong> validate species occurrences 1<br />

• Vegetation surveys <strong>to</strong> validate delineation <strong>of</strong> remnant<br />

patches 2<br />

• Ground truthing <strong>of</strong> mapping results<br />

• Used <strong>to</strong> delineate remnant patches, aerial pho<strong>to</strong>graphy or<br />

satellite imagery 1,4<br />

1 Brooker L. (2002): The application <strong>of</strong> focal species knowledge <strong>to</strong> landscape design in agricultural<br />

lands using the ecological neighbourhood as a template; Landscape and Urban Planning; 60(4):<br />

185-210<br />

2 Hess G. R., King T. J. (2002): Planning open spaces for wildlife; I. selecting focal species using a<br />

Delphi survey approach; Landscape and Urban Planning; 58(1):25-40<br />

3 Watson J., Freudenberger D., Paull D. (2001): An assessment <strong>of</strong> the Focal Species Approach for<br />

conserving birds in variegated landscapes in southeastern Australia; Conservation Biology; 15(5):<br />

1364-1373<br />

4<br />

Lambeck R. J. (1997): Focal species: A multi-species umbrella for nature conservation;<br />

Conservation Biology; 11(4):849-856<br />

213


A8<br />

A8-5 Rapid Ecological <strong>Assessment</strong> (REA)<br />

Table 34: List <strong>of</strong> data required by the REA<br />

Criterion I<br />

Data<br />

Requirements<br />

Source: Own design<br />

Use <strong>of</strong><br />

existing data<br />

(C22)<br />

Data<br />

acquisition<br />

(C23)<br />

Data<br />

validation<br />

(C24)<br />

Use <strong>of</strong> remote<br />

sensing (C25)<br />

• Collect and review as much available data as possible 2<br />

• Identify previous studies, management plans, global, national<br />

and regional data sets 2<br />

• Organise species information in<strong>to</strong> groups or units 2<br />

• Use existing GIS systems, remote sensing information<br />

system 1,2<br />

• Published and unpublished data 1,2<br />

• Traditional knowledge and information given by local or<br />

indigenous people 1,2<br />

• Remote sensing 2<br />

• Vegetation surveys 2<br />

• Fauna sampling 2<br />

• Inven<strong>to</strong>ries <strong>of</strong> flora and fauna specimens 2<br />

• Vegetation surveys <strong>to</strong> validate delineation <strong>of</strong> vegetation<br />

classes 2<br />

• Sampling and inven<strong>to</strong>ries <strong>to</strong> validate existing data 2<br />

• Ground truthing 2<br />

• All results should contain an overall estimate <strong>of</strong> confidence 1<br />

• Both aerial pho<strong>to</strong>graphy and satellite imagery for the initial<br />

landscape characterisation 2<br />

1 Convention Biological Diversity (2006): Guidelines for the rapid ecological assessment <strong>of</strong> biodiversity<br />

in inland water, coastal and marine <strong>areas</strong>. Secretariat <strong>of</strong> the Convention on Biological Diversity,<br />

Montreal, Canada, CBD Technical Series no. 22 and the Secretariat <strong>of</strong> the Ramsar Convention,<br />

Gland, Switzerland, Ramsar Technical Report no.1<br />

2 Sayre R., Rocca E., Sedaghatk Young B., Keel S., Rocca R. L., Shepard S. (2000): Nature in Focus:<br />

Rapid ecological assessment; The Nature Conservancy; Island Press; Washing<strong>to</strong>n D. C.<br />

214


APPENDIX

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