CNH: The Effects of China's Grain-for-Green Program on the Dynamics of Coupled Natural-Human System in Rural China

CNH：中国退耕还林工程对中国农村自然人耦合系统动态的影响

• 批准号: 1313756
• 负责人: Conghe Song
• 金额: $ 116.5万
• 依托单位: University of North Carolina at Chapel Hill
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-08-15 至 2018-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1313756&HistoricalAwards=false
• 关键词: CNH; Effects; China; Grain; Green

Perverse economic effects can create strong negative feedbacks between natural and human systems. For example, short-term, fine-scale, net economic benefits from uses of natural resources that compromise the future supply of related resources can reduce long-term, large-scale economic benefits. Numerous governmental programs have effectively tested the hypothesis that such negative feedbacks can be eliminated with economic counter-incentives, but few if any of these programs have been suitable for and subjected to the rigorous scientific analysis needed to determine the true results of the test and help generalize results. This project will analyze what is probably the largest program within the most widely used type of counter-incentive, the Sloping Lands Conversion Program of China, a program of payment for environmental services. Under this program, the government pays farmers to convert cropland on sloping or otherwise ecologically sensitive areas to forest or grassland. Researchers will survey farmers and local governmental agencies in three provinces to determine how the program was implemented and affected the decisions of farmers, detect changes in land cover using satellite imagery, and model carbon storage and water availability based on field measurements. Results of this project will be of great value to policy makers and land use managers in the U.S., where similar programs have been tried and are envisioned in the context of ecological restoration and protection. The research also will help inform the global discourse on reducing carbon emissions from deforestation and forest degradation. This project will strengthen scientific collaboration in both social and natural science between the U.S. and China, and train numerous undergraduate and graduate students.

反常的经济效应会在自然系统和人类系统之间产生强烈的负反馈。 例如，自然资源使用的短期、小规模、净经济效益如果损害了相关资源的未来供应，就会减少长期、大规模的经济效益。 许多政府项目已经有效地测试了这一假设，即这种负反馈可以通过经济反激励来消除，但这些项目中很少有适合并经过严格的科学分析，以确定测试的真实结果并帮助推广结果。 这个项目将分析什么可能是最广泛使用的反激励类型中最大的计划，中国的坡地改造计划，一个环境服务付费计划。 根据这项计划，政府向农民提供资金，将坡地或其他生态敏感地区的农田改为森林或草地。 研究人员将调查三个省的农民和地方政府机构，以确定该计划是如何实施的，并影响农民的决策，使用卫星图像检测土地覆盖的变化，并根据实地测量建立碳储存和水供应模型。 该项目的结果将对美国的政策制定者和土地使用管理者具有重要价值，在生态恢复和保护的背景下，类似的方案已经尝试并设想。这项研究还将有助于为减少森林砍伐和森林退化造成的碳排放的全球讨论提供信息。 该项目将加强中美两国在社会科学和自然科学方面的科学合作，并培养大量本科生和研究生。