Desire for Greener Land

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Land conservation Extent of land degradation Extent of the degraded area in % of the area of each map unit. Degree of land degradation (weighted by area) The degree of degradation, referring to the intensity of the land degradation process, weighted against the extent for each map unit: Degree * Extent (%)/100. Rate of land degradation (weighted by area) The degradation rate indicates the trend of degradation over the past 10 years, weighted against the extent for each map unit: Rate * Extent (%)/100. Land conservation groups SLM technologies are clustered into groups which have names familiar to most SLM specialists and rural development specialists. The technology groups cover the main types of existing SLM systems. CA: Conservation agriculture / mulching NM: Manuring / composting / nutrient management RO: Rotational system / shifting cultivation / fallow / slash and burn VS: Vegetative strips / cover AF: Agroforestry AP: Afforestation and forest protection RH: Gully control / rehabilitation TR: Terraces GR: Grazing land management WH: Water harvesting SA: Groundwater / salinity regulation / water use efficiency WQ: Water quality improvements SD: Sand dune stabilization CB: Coastal bank protection PR: Protection against natural hazards SC: Storm water control, road runoff WM: Waste management CO: Conservation of natural biodiversity OT: Other Land conservation measures A conservation measure is a component of an SLM Technology, which may consist of a combination of several conservation measures. The WOCAT framework distinguishes four categories of conservation measures: 1. Agronomic (e.g. mulching) 2. Vegetative (e.g. contour grass strips) 3. Structural (e.g. check dams) 4. Management (e.g. resting of land) 233
Land recommendation Land conservation – total area extent Extent of the area under SLM measures in % of the area of each map unit. Effectiveness of conservation measures (weighted by area) Effectiveness of SLM measures in reducing the degree of degradation or preventing degradation, weighted against the extent for each map unit: Effectiveness * Extent (%)/100. Effectiveness trend of conservation measures (weighted by area) Historical trends in the effectiveness of conservation measures. The increase or decrease in effectiveness was assessed over the past 10 years, weighted against the extent for each map unit: Effectiveness trend * Extent (%)/100. Expert recommendation Expert recommendation concerning interventions on how to address degradation: A: Adaptation to the problem: the degradation is either too serious to deal with and is accepted as a fact of life, or it is not worthwhile the effort to invest in. P: Prevention implies the use of conservation measures that maintain natural resources and their environmental and productive function on land that may be prone to further degradation, where some has already occurred. The implication is that good land management practice is already in place: it is effectively the antithesis of humaninduced land degradation. M: Mitigation: is intervention intended to reduce on-going degradation. This comes in at a stage when degradation has already begun. The main aim here is to halt further degradation and to start improving resources and their functions. Mitigation impacts tend to be noticeable in the short to medium term: this then provides a strong incentive for further efforts. The word ‘mitigation’ is also sometimes used to describe reducing the impacts of degradation. R: Rehabilitation: is intervention when the land is already degraded to such an extent that the original use is only possible with extreme efforts as land has become practically unproductive. Here longerterm and more costly investments are needed to show any impact. References: n WOCAT/LADA/DESIRE 2008. A Questionnaire for Mapping Land Degradation and Sustainable Land Management. Liniger H.P., van Lynden G., Nachtergaele F., Schwilch G. (eds), Centre for Development and Environment, Institute of Geography, University of Berne, Berne. 234 DESIRE – WOCAT Desire for Greener Land
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Desire for Greener Land Options for
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DESIRE - WOCAT Desire for Greener L
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Co-published by University of Bern,
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Cross-slope barriers Progressive be
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The present DESIRE publication desc
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Contributing authors and DESIRE con
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Desire for Greener Land - Options f
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XIV DESIRE - WOCAT Desire for Green
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Figure 1: Desertification vulnerabi
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In DESIRE, WOCAT methods and tools
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Part 1
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8 DESIRE - WOCAT Desire for Greener
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Figure 1: Methodological framework
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to Russia and China (see Table 1).
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DRI = 5.4 Very high desertification
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Table 2 provides a more detailed de
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decision. This leads to solutions b
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Aims and objectives This penultimat
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Figure 7: The DESIRE Project has fo
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References: n EEA-European Environm
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Area (x1000 Ha) Major land use type
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Major land degradation types per st
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Rate of degradation per study site
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Production services were affected o
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% of area under conservation measur
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Figure 16: Effectiveness of conserv
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Conservation impact on ecosystem se
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Analysis of SLM technologies Introd
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Table 2: WOCAT categories of SLM me
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Origin of technology SLM technologi
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Table 3: Sensitivity of and toleran
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No. of case studies Land Ownership
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No. of case studies Increased farm
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No. of case studies Improved harves
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No. of case studies Increased plant
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No. of case studies No. of case stu
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Analysis of SLM approaches Introduc
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system is focused on control rather
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References: n Alkemade, J. R. M., v
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actually implemented in the field.
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Concerning SLM, the most widely app
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Part 2 DESIRE - WOCAT Desire for Gr
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Desire for Greener Land Mexico Land
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2.1 SLM case studies Case studies -
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Case studies - titles and short des
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76 DESIRE - WOCAT Desire for Greene
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Classification Land use problems: T
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Assessment Impacts of the Technolog
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Class sification Land d use problem
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Class sification Land use problemss
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Classification Land use problems: I
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Classification Land use problems: D
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Classification Land use problems: L
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Classification Land use problems: s
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Classification Land use problems: R
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Classification Land use problems: S
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Classification Land use problems: W
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Classification Land use problems: O
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Classification Land use problems: L
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Classification Land use problems: D
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Classification Land use problems: S
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Page 213 and 214: Problem, objectives and constraints
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Page 223 and 224: Input: - Equipment (machinery, tool
Page 233 and 234: Problems, objectives, and constrain
Page 245 and 246: Desire for Greener Land Opopejo Qui
Page 247: 2.2 Mapping case studies This secti
Page 251 and 252: Portugal - Maçao The Maçao area h
Page 253 and 254: Italy - Rendina The Rendina area ex
Page 255 and 256: Greece - Nestos This area has chemi
Page 257 and 258: Turkey - Eskişehir The Eskeheşir
Page 259 and 260: Tunisia - Koutine The Koutine area
Page 261 and 262: Russia - Novy Land use in the Novy
Page 263 and 264: Botswana - Boteti The main land use
Page 265 and 266: Chile - Cauquenes The Cauquenes are
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Page 269 and 270: Status of land degradation, sustain
Page 271 and 272: Examples of potential SLM technolog
Page 273 and 274: IV Up-scaling SLM strategies Actual
Page 275 and 276: Case study of the DESIRE methodolog
Page 277 and 278: II Identifying, evaluating and sele
Page 279 and 280: The results showed that the best op
Page 281 and 282: IV Up-scaling SLM strategies Some r
Page 285 and 286: Explanation pages of case studies:
Page 287 and 288: Cropland (or grazing land, mixed la
Page 289 and 290: Explanation pages of case studies:
Page 291 and 292: Here appears an organogram - if ava
Page 293 and 294: Pictograms SLM technology Land use
Page 297 and 298: Logos of partners 282 DESIRE - WOCA
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Desire for Greener Land

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