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Predicting environmental impacts for assessing land use change options in Sichuan Province, China.

机译:预测环境影响,以评估中国四川省的土地利用变化方案。

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The assessment of land use change (LUC) proposals aimed at improving environmental conditions requires information regarding the relationship between actions and outcomes. Yet such information is often limited in detail, especially in developing country contexts. This paper demonstrates an approach to the estimation of farm level biophysical relationships between proposed LUC activities and their impacts on soil erosion, air quality and biodiversity in the context of a payment for environmental services (PES) auction in Sichuan Province, China. Because data at the farm level are unavailable, the models are based on divergences of each farm's biophysical conditions from well-established regional averages. This paper focuses on the estimation of the farm-to-region divergence factors and the development of environmental outcome predictions that reflect the relative ecological significance of alternative LUC proposals. The strengths and weaknesses of the biophysical models are also discussed.
机译:评估旨在改善环境条件的土地用途变更(LUC)提案需要有关行动与成果之间关系的信息。但是,此类信息通常在细节上受到限制,尤其是在发展中国家的情况下。本文展示了一种在中国四川省进行的环境服务付款拍卖的背景下,估算提议的LUC活动及其对土壤侵蚀,空气质量和生物多样性的影响之间的农场生物物理关系的估算方法。由于无法获得农场一级的数据,因此该模型基于每个农场的生物物理条件与公认的区域平均值的差异。本文关注于农场到区域差异因素的估计以及环境结果预测的发展,这些结果反映了替代LUC建议的相对生态意义。还讨论了生物物理模型的优缺点。

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