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Interim Report - TEEB

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2008) 1 and the issues of ethics, equity and the discount rate<br />

discussed earlier.<br />

These are the key elements of our proposed framework:<br />

• Examine the causes of biodiversity loss: designing<br />

appropriate scenarios to evaluate the consequences<br />

of biodiversity loss means incorporating information on<br />

the drivers of this loss. For example, loss of marine<br />

fisheries is driven by overfishing, so it would be<br />

appropriate to compare a scenario of business-asusual<br />

(continued overfishing) with one where fisheries<br />

are sustainably managed. Evidence suggests that<br />

biodiversity is often being lost even where it would be<br />

socially more advantageous to preserve it. Identifying<br />

the market, information and policy failures can help us<br />

identify policy solutions.<br />

• Evaluate alternative policies and strategies that<br />

decision makers are confronted with: the analysis<br />

needs to contrast two or more “states” or scenarios that<br />

correspond to alternative action (or inaction) to reduce<br />

biodiversity and ecosystem loss (World A and World B).<br />

This approach is also used in impact assessments and<br />

cost-benefit analyses to ensure that decision makers can<br />

make informed decisions on the basis of a systematic<br />

analysis of all the implications of various policy choices.<br />

• Assess the costs and benefits of actions to conserve<br />

biodiversity: the analysis will need to address both<br />

differences in benefits obtained from biodiversity conservation<br />

(e.g. water purification obtained by protecting<br />

forests) and in the costs incurred (e.g. foregone benefits<br />

from conversion of the forest to agriculture).<br />

• Identify risks and uncertainties: there is much that<br />

we do not know about how biodiversity is valuable<br />

to us, but that does not mean that what is not known<br />

has no value – we risk losing very important, but still<br />

unrecognized, ecosystem services. The analysis needs<br />

to identify these uncertainties and assess the risks.<br />

• Be spatially explicit: economic valuation needs to be<br />

spatially explicit because both the natural productivity of<br />

ecosystems and the value of their services vary across<br />

space. Furthermore, benefits may be enjoyed in very<br />

different places from where they are produced. For<br />

example, the forests of Madagascar have produced<br />

anti-cancer drugs that save lives all over the world.<br />

Besides, the relative scarcity of a service, as well as<br />

local socio-economic factors, may substantially affect<br />

the values. Taking into account the spatial dimension<br />

also allows for better understanding of the impacts of<br />

conservation on development goals, and for the<br />

exploration of trade-offs between the benefits and<br />

costs of different options, highlighting regions that may<br />

be cost-effective investments for conservation.<br />

• Consider the distribution of impacts of biodiversity<br />

loss and conservation: the beneficiaries of ecosystem<br />

services are often not the same as those who incur<br />

the costs of conservation. Mismatches can lead to<br />

decisions being taken that are right for some people<br />

locally, but wrong for others and for society as a whole.<br />

Effective and equitable policies will recognize these<br />

spatial dimensions and correct them with appropriate<br />

tools, such as payments for ecosystem services.<br />

Figures 3.5 and 3.6 illustrate the multi-scale dimension of<br />

ecosystem services and thus the need to account for the<br />

spatial pattern in their production and use. Even large cities<br />

like London depend on a diversity of benefits produced by<br />

ecosystems and biodiversity, often at a considerable<br />

distance.<br />

This framework will be used during Phase II but it will not be<br />

possible to collect information for the elaboration of detailed<br />

maps for all types of ecosystem services and biomes. Thus<br />

the evaluation will also largely rely on “benefits transfer”,<br />

making clear the assumptions and defining carefully the<br />

conditions for extrapolating from limited data, taking into<br />

account the scale and distance-dependency of the various<br />

services. Spatial data bases will be used, highlighting where<br />

data gaps need to be filled.<br />

BRINGING TOGETHER THE ECOLOGICAL<br />

AND ECONOMIC ASPECTS IN OUR<br />

VALUATION FRAMEWORK<br />

Valuing ecosystems requires integration of ecology and<br />

economics in an interdisciplinary framework. Ecology should<br />

provide the necessary information on the generation of<br />

ecosystem services, while economics would bring the tools<br />

for estimating their values (see Figure 3.4).<br />

Valuation of regulating ecosystem services and some provisioning<br />

services must be based on an understanding of<br />

the underlying biological and physical processes that lead to<br />

their provision. For example, to be able to valuate the water<br />

regulation provided by a forest, it is first necessary to have<br />

information about the land use, the hydrology of the area and<br />

other characteristics, in order to make a biophysical assessment<br />

of the service provided.<br />

Such an understanding makes it possible to estimate<br />

economic value, but there are some challenges which need<br />

to be addressed:<br />

• Measuring the quantity and quality of services provided<br />

by ecosystems and biodiversity in various possible<br />

states is a key challenge, and also an opportunity, to<br />

avoid the pitfalls of generalization. Valuation is best<br />

applied to alternative states or scenarios (e.g. services<br />

provided under differing land-use practices reflecting<br />

different policy scenarios). For example, the conser-<br />

40 The economics of ecosystems and biodiversity

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