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The Economics of Desertification, Land Degradation, and Drought

The Economics of Desertification, Land Degradation, and Drought

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lowest in the region. From a socioeconomic perspective, the NDVI is an indicator that is dissociated<br />

from people <strong>and</strong> their social <strong>and</strong> economic relations: It assesses degradation in remote, unpopulated<br />

places equally to NDVI-based degradation that destroys livelihoods in other areas. For this reason,<br />

NDVI studies have so far had little policy impacts.<br />

<strong>The</strong>se <strong>and</strong> other shortcomings underscore the need to better calibrate the satellite data to<br />

address their shortcomings. For example, there is a need to establish sentinel study sites, 71 where indepth<br />

analysis can be done to better underst<strong>and</strong> <strong>and</strong> calibrate the relationship between remotely<br />

sensed biophysical <strong>and</strong> socioeconomic data with the actual l<strong>and</strong> degradation or improvement.<br />

Additional data that cannot be collected using satellite imagery could also be collected from the<br />

sentinel sites—in particular, socioeconomic data to indicate the human relevance <strong>of</strong> the l<strong>and</strong><br />

degradation indicators. <strong>The</strong> results from the sentinel sites could then be extrapolated to the global<br />

level.<br />

Underst<strong>and</strong>ing the Underlying Causes <strong>of</strong> l<strong>and</strong> degradation will Help in the Design <strong>of</strong><br />

Appropriate Actions for Preventing or Mitigating <strong>L<strong>and</strong></strong> <strong>Degradation</strong><br />

This review showed that underst<strong>and</strong>ing the underlying causes <strong>of</strong> l<strong>and</strong> degradation is important for<br />

designing strategies for taking action to prevent or mitigate l<strong>and</strong> degradation. <strong>The</strong> study also showed<br />

that the impact <strong>of</strong> one particular underlying cause <strong>of</strong> l<strong>and</strong> degradation depends on the other underlying<br />

causes. For example, population density could lead to more severe l<strong>and</strong> degradation if there are no<br />

strong institutions to regulate the behavior <strong>of</strong> communities or if market forces do not give l<strong>and</strong> users<br />

an incentive to invest in l<strong>and</strong> improvement. This situation suggests that taking action to prevent or<br />

mitigate l<strong>and</strong> degradation requires the design <strong>of</strong> policies <strong>and</strong> strategies that will simultaneously<br />

address the multiple underlying causes <strong>of</strong> l<strong>and</strong> degradation.<br />

Of particular importance is the need to develop strong local institutions for l<strong>and</strong> management<br />

at the community level <strong>and</strong> to provide incentives for individual l<strong>and</strong> users to invest in l<strong>and</strong><br />

improvement. This task requires decentralization policies, which provide m<strong>and</strong>ates <strong>and</strong> which<br />

facilitate the development <strong>of</strong> local institutions. Studies have shown that countries that have been<br />

investing in l<strong>and</strong> improvement <strong>and</strong> providing incentives to l<strong>and</strong> users have seen greater improvement,<br />

despite their high population densities. For example, China has provided incentives for farmers in the<br />

western highl<strong>and</strong>s to plant trees, <strong>and</strong> the Bai et al. (2008b) study showed a significant improvement <strong>of</strong><br />

vegetation there. India’s decentralized government also allows communities to form communitybased<br />

watershed management (CBWM) committees. For instance, a switch from centrally managed<br />

watershed to CBWM in Tamil Nadu, India, in 2009) resulted in the water table receding <strong>and</strong> water<br />

availability increasing in the area. This significant change was largely due to the m<strong>and</strong>ate given to<br />

local communities to manage <strong>and</strong> benefit from the watershed. Similar success stories have been<br />

observed by the International Forest Research Institute, which has been conducting research on<br />

community-based forest management in developing countries (Gibson, Williams, <strong>and</strong> Ostrom 2005).<br />

Taking Action to Prevent or Mitigate <strong>L<strong>and</strong></strong> <strong>Degradation</strong> Requires an Economic<br />

Analysis <strong>of</strong> the Costs <strong>of</strong> <strong>L<strong>and</strong></strong> <strong>Degradation</strong> <strong>and</strong> the Costs <strong>and</strong> Benefits <strong>of</strong> Preventing<br />

or Mitigating <strong>L<strong>and</strong></strong> <strong>Degradation</strong><br />

<strong>The</strong> economic analysis proposed in this study is the well-established concept <strong>of</strong> measuring the<br />

economic costs <strong>and</strong> benefits using total economic value <strong>of</strong> terrestrial ecosystem services, which<br />

comprise the on-site <strong>and</strong> <strong>of</strong>f-site direct <strong>and</strong> indirect costs <strong>and</strong> benefits. Because both l<strong>and</strong> degradation<br />

<strong>and</strong> action to prevent it have lagged effects, it is necessary to use dynamic modeling to determine the<br />

future costs <strong>and</strong> benefits, which requires long-term data collection <strong>and</strong> simulation analysis using wellcalibrated<br />

models.<br />

To analyze <strong>of</strong>f-site costs <strong>and</strong> benefits requires an association <strong>of</strong> the benefits to the<br />

beneficiaries <strong>and</strong> <strong>of</strong> the costs to those who experience the negative impacts or implement the l<strong>and</strong><br />

conservation action. Such an analysis will, for instance, enable payment for ecosystem services (PES)<br />

71 Sentinel sites are selected for an in-depth study or data collection such that the sentinel sites are representative <strong>of</strong> a<br />

larger area or population. Results from the sentinel sites could then be interpolated to the larger area or population they<br />

represent.<br />

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