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An integrated assessment model of carbon sequestration benefits: A case study of Liping county, China

机译:固碳效益综合评价模型-以黎平县为例

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This research attempts to model the complexity of planting trees to increase China's CO_2 sequestration potential by using a GIS-based integrated assessment (IA) approach. We use the IA model to assess the impact of China's Grain for Green reforestation and afforestation program on farmer and state incomes as well as CO_2 sequestration in Liping County, Guizhou Province. The IA model consists of five sub-models for carbon sequestration, crop income, timber income, Grain for Green, and carbon credits. It also includes a complementary qualitative module for assessing program impacts by gender and ethnicity. Using four scenarios with various assumptions about types of trees planted, crop incomes by township, CO_2 credit prices, state subsidies, methods for estimating carbon sequestered, and harvesting of trees, we find great variation in the impact of the Grain for Green program on incomes and on carbon sequestered over a 48 year period at both the county and township levels.
机译:本研究试图通过使用基于GIS的综合评估(IA)方法来模拟植树的复杂性,以增加中国的CO_2封存潜力。我们使用IA模型评估了中国的“绿色退耕还林计划”对贵州省黎平县农民和国家收入以及CO_2封存的影响。 IA模型包含五个子模型,分别用于碳固存,作物收入,木材收入,绿色粮食和碳信用额。它还包括一个补充性的定性模块,用于按性别和种族评估计划的影响。使用四种情景,对种植的树木类型,乡镇的农作物收入,CO_2信贷价格,国家补贴,碳固存的估算方法以及树木的收获进行各种假设,我们发现“退耕还林”计划对收入的影响存在很大差异在48年的时间里,在县和乡镇一级都封存了碳。

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