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Assessment of carbon leakage in multiple carbon-sink projects: a case study in Jambi Province,Indonesia
Authors:Rizaldi Boer  Upik R. Wasrin  Perdinan  Hendri  Bambang D. Dasanto  Willy Makundi  Julius Hero  M. Ridwan  Nur Masripatin
Affiliation:1.Climatology Laboratory, Department of Geophysics and Meteorology, Faculty of Mathematics and Natural Sciences,Bogor Agricultural University,Bogor,Indonesia;2.Land Management Grand College,Bogor Agricultural University,Bogor,Indonesia;3.Ecology Laboratory, Faculty of Forestry,Bogor Agricultural University,Bogor,Indonesia;4.Lawrence Berkeley National Laboratory,Berkeley,USA;5.Lestari Hutan Indonesia,Jakarta,Indonesia;6.Department of Forestry,Jakarta,Republic of Indonesia
Abstract:Rehabilitation of degraded forest land through implementation of carbon-sink projects can increase terrestrial carbon (C) stock. However, carbon emissions outside the project boundary, which is commonly referred to as leakage, may reduce or negate the sequestration benefits. This study assessed leakage from carbon-sink projects that could potentially be implemented in the study area comprised of 11 sub-districts in the Batanghari District, Jambi Province, Sumatra, Indonesia. The study estimates the probability of a given land use/cover being converted into other uses/cover, by applying a logit model. The predictor variables were: proximity to the center of the land use area, distance to transportation channel (road or river), area of agricultural land, unemployment (number of job seekers), job opportunities, population density and income. Leakage was estimated by analyzing with and without carbon-sink projects scenarios. Most of the predictors were estimated as being significant in their contribution to land use cover change. The results of the analysis show that leakage in the study area can be large enough to more than offset the project’s carbon sequestration benefits during the period 2002–2012. However, leakage results are very sensitive to changes of carbon density of the land uses in the study area. By reducing C-density of lowland and hill forest by about 10% for the baseline scenario, the leakage becomes positive. Further data collection and refinement is therefore required. Nevertheless, this study has demonstrated that regional analysis is a useful approach to assess leakage.
Keywords:Carbon leakage  Carbon-sink projects  Logistic modeling  Mitigation
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