Testing methodologies for REDD+
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Permanent link to this item: http://hdl.handle.net/11463/5854
Internet URL: http://www.cifor.org/pid/5178
The definition and setting of forest reference levels (RLs) is important in the design of REDD+1 under a future climate agreement. Two meanings and uses of RL may be distinguished: (i) the RL used to measure the effect or impact of REDD+ policies, where RL refers to the Business-as-Usual (BAU) scenario; and (ii) the financial incentive benchmark (FIB) used for estimating results-based incentives, e.g. direct payment for emissions reductions (Angelsen, 2008). In this study RL is reserved only for meaning (i) and Financial Incentive Benchmark (FIB) for meaning (ii). This work explores how historical deforestation rates, drivers and costs relate to both RLs and FIBs. Based on availability of relevant data and earlier research undertaken, four tropical countries that are part of CIFOR'sGlobal Comparative Study were selected for in-depth case studies because the data for this exercise were readily available, and because they represent countries with a wide range of national circumstances. The authors would welcome similar work on other countries. These countries are Cameroon, Vietnam, Indonesia and Brazil.
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