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The Economics of Desertification, Land Degradation, and Drought

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3.7—Global loss due to siltation <strong>of</strong> water reservoirs (US$ billion) 79<br />

3.8—Average annual economic impact <strong>of</strong> meteorological disasters, 2000–2008 81<br />

4.1—<strong>The</strong> mediating role <strong>of</strong> institutions 83<br />

4.2—<strong>Economics</strong> <strong>of</strong> institutions<br />

4.3—Effect <strong>of</strong> national-level decentralization policy on enactment <strong>of</strong> l<strong>and</strong> <strong>and</strong> water management<br />

85<br />

regulations 88<br />

4.4—Institutional structure with horizontal <strong>and</strong> vertical linkages 89<br />

5.1—Global loss <strong>of</strong> mean species abundance, 2000–2050 95<br />

5.2—Drivers <strong>of</strong> the loss <strong>of</strong> mean species abundance at the global level, 2000–2050 95<br />

5.3—Forest area as a percentage <strong>of</strong> total area across regions 96<br />

5.4—Distribution <strong>of</strong> pastoralists 97<br />

5.5—Per capita water storage in selected countries <strong>and</strong> regions 98<br />

5.6—Relationship between soil carbon <strong>and</strong> crop yield <strong>and</strong> yield variance, Ug<strong>and</strong>a 98<br />

6.1—Trend <strong>of</strong> per capita income in the case study countries 100<br />

6.2—Status <strong>of</strong> l<strong>and</strong> degradation in the case study countries 100<br />

6.3—Pr<strong>of</strong>it loss caused by increased salinity, Uzbekistan 102<br />

6.4—Total pr<strong>of</strong>it loss due to l<strong>and</strong> degradation type, Uzbekistan 103<br />

6.5—Trend <strong>of</strong> fertilizer use in Kenya <strong>and</strong> Niger 104<br />

6.6—Loss <strong>of</strong> pr<strong>of</strong>it due to soil nutrient depletion, Niger 105<br />

6.7—Trend <strong>of</strong> livestock units per pasture area in case study countries 105<br />

6.8—Cost <strong>of</strong> action <strong>and</strong> inaction to control salinity in a rice <strong>and</strong> onion rotation, Niger (US$/ha) 106<br />

6.9—Cost <strong>of</strong> action <strong>and</strong> inaction to control overgrazing, Niger (US$/household with 50 TLU) 106<br />

6.10—Loss <strong>of</strong> pr<strong>of</strong>it as a percentage <strong>of</strong> GDP, Niger 107<br />

6.11—Trend <strong>of</strong> nitrogen <strong>and</strong> phosphorus use, Peru<br />

6.12—Cost <strong>of</strong> action <strong>and</strong> inaction (US$/ha) <strong>of</strong> soil erosion on maize plots in the Andean region,<br />

108<br />

Peru 109<br />

6.13—Cost <strong>of</strong> action <strong>and</strong> inaction to address salinity, India <strong>and</strong> Peru 109<br />

6.14—Trend <strong>of</strong> nitrogen <strong>and</strong> fertilizer use in India, 2002–2008 111<br />

6.15—Costs <strong>of</strong> action <strong>and</strong> inaction to address soil nutrient mining for selected crops, Kenya 114<br />

6.16—Cereal yield trend in Kenya compared to Sub-Saharan Africa’s regional yields 115<br />

6.17—Nitrogen fertilizer application per hectare in Sub-Saharan African countries 115<br />

6.18—Average change in forest area <strong>and</strong> its value<br />

7.1— Institutional setup for a global assessment <strong>of</strong> E-DLDD in a cost-<strong>of</strong>-action-versus-inaction<br />

117<br />

framework 119<br />

B.1—<strong>L<strong>and</strong></strong> use systems <strong>of</strong> the world 146<br />

B.2—GLADA output 146<br />

B.3—Biophysical Status Index (BSI), GLADIS 147<br />

B.4—Goods <strong>and</strong> services severely affected, GLADIS 147<br />

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