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来源类型Article
规范类型其他
DOI10.1016/j.enpol.2013.04.015
Ecosystem health pattern analysis of urban clusters based on emergy synthesis: Results and implication for management.
Su M; Fath BD; Yang Z; Chen B; Liu G
发表日期2013
出处Energy Policy 59: 600-613
出版年2013
语种英语
摘要The evaluation of ecosystem health in urban clusters will help establish effective management that promotes sustainable regional development. To standardize the application of emergy synthesis and set pair analysis (EM-SPA) in ecosystem health assessment, a procedure for using EM-SPA models was established in this paper by combining the ability of emergy synthesis to reflect health status from a biophysical perspective with the ability of set pair analysis to describe extensive relationships among different variables. Based on the EM-SA model, the relative health levels of selected urban clusters and their related ecosystem health patterns were characterized. The health states of three typical Chinese urban clusters - Jing-Jin-Tang, Yangtze River Delta, and Pearl River Delta - were investigated using the model. The results showed that the health status of the Pearl River Delta was relatively good; the health for the Yangtze River Delta was poor. As for the specific health characteristics, the Pearl River Delta and Yangtze River Delta urban clusters were relatively strong in Vigor, Resilience, and Urban ecosystem service function maintenance, while the Jing-Jin-Tang was relatively strong in organizational structure and environmental impact. Guidelines for managing these different urban clusters were put forward based on the analysis of the results of this study.
主题Advanced Systems Analysis (ASA)
关键词Ecosystem health pattern Chinese urban cluster Emergy
URLhttp://pure.iiasa.ac.at/id/eprint/10417/
来源智库International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/129743
推荐引用方式
GB/T 7714
Su M,Fath BD,Yang Z,et al. Ecosystem health pattern analysis of urban clusters based on emergy synthesis: Results and implication for management.. 2013.
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