基于Meta分析和GIS的中国湿地生态系统服务价值转移研究：兼论气候变化的影响

项目名称： 基于Meta分析和GIS的中国湿地生态系统服务价值转移研究：兼论气候变化的影响

项目编号： No.41271527

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 天文学、地球科学

项目作者： 郑海霞

作者单位： 北京联合大学

项目金额： 75万元

中文摘要： 湿地作为水陆之间重要的生态系统，对湿地环境服务价值及其变化进行全面评估具有重要的理论意义和应用价值。随着原始研究案例的增加以及不同的政策需求目标，效益转移法作为一种节约成本和时间的环境价值评估方法在国际上得到广泛应用。Meta分析的效益转移法可以考虑更多的因素和空间范围被认为是更有效和可靠的评估方法。本研究利用Meta分析的效益转移法全面评估了中国湿地生态系统价值，探索多种效益转移法在中国应用的有效性。研究集中在：①基于典型区CVM调查的湿地环境服务价值评估和效益函数转移法；②利用Meta分析和GIS的效益转移法对中国典型类型湿地生态系统服务价值的评估，选择湿地、评估方法、环境服务类型、社会经济等方面的多元解释变量利用加权最小二乘法，去除异质性进行Meta回归建模，并对模拟过程进行有效性检验。③利用时间效益转移法对气候变化的湿地生态系统服务的效益损失进行评估。④建立中国效益转移法使用向导。

中文关键词： 湿地生态系统服务；环境价值评估；效益转移；Meta分析；地理信息系统

英文摘要： As wetlands is an important ecosystem between land and water, to conduct a comprehensive assessment of ecosystem service value and its changes on the wetland environment have very important theoretical significance and practical application value. With the increase of the original case studies, as well as different policy needs of the targets, the benefit transfer method has been widely used in the international environment as a cost and time savings valuation method. The benefit transfer method of Meta-analysis which can consider more factors and spatial scales is considered to be a more effective and reliable assessment method. In this study, based on the GIS to extract the spatial characteristics of the wetland, using the benefit transfer method of Meta-analysis, a comprehensive assessment of the value of Chinese wetland ecosystem is made. The research is focused in: ① typical case studies of CVM survey of the environmental value assessment and the effectiveness of Benefit function transfer method to wetlands; ② the use of Meta-analysis and GIS of the benefits transfer method of Chinese typical wetlands ecosystem service value assessment of select wetland features, and to assess the method signature environment the explanatory variables of the type of service characteristics, socio-economic aspects of using t

英文关键词： wetland ecosystem services；environmental evaluation；benefit transfer；meta analysis；GIS