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Abstract
Avoided deforestation may be financed through a multilateral fund for
climate change in the future. There is a concern that payments for REDD
should benefit the poor, and that it is necessary to design incentives that
make sustainable forestry more profitable than deforestation or degradation.
By applying a dynamic and non-linear programming model we tested a
number of interventions and development trends to see how they affected
deforestation and forest degradation in villages in Senegal, Tanzania and
Uganda over the next 20 years. Cultivable land has already been cleared in
most of the investigated villages. Thus deforestation is likely to occur only
in villages with a substantial remaining woodland area. In villages with little
remaining woodland harvesting of wood-fuel leads to serious degradation in
a few years. Reduced growth of population is likely to reduce deforestation
in most cases. Higher producer price of charcoal leads to less deforestation
and more degradation. Policies that make crop production relatively more
profitable normally lead to more deforestation and less forest degradation.
Production quotas may be an effective measure to reduce forest degradation,
but when charcoaling gets less profitable villagers will allocate more labour
to land clearing and crop production, thus increasing deforestation. These
results may be useful both in setting the REDD baseline, and in the design
of measures to achieve REDD effectively.