Township ecosystem health assessment based on fuzzy synthesis evaluation method: a case study of Tongzhou District, Beijing, China

Shan SHAN, Lina ZHANG, Xuan WANG, Bin CHEN

Front. Earth Sci. ›› 0

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PDF(203 KB)
Front. Earth Sci. ›› DOI: 10.1007/s11707-009-0031-7
RESEARCH ARTICLE
RESEARCH ARTICLE

Township ecosystem health assessment based on fuzzy synthesis evaluation method: a case study of Tongzhou District, Beijing, China

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Abstract

With the quick development of urbanization, the urban environmental problem has broken out in rural towns. In this study, a reasonable review of the research progress in the field of urban ecosystem health was addressed. Based on the analysis of the structure-function characteristics of the compound ecosystem, the connotation of the township ecosystem health was determined. Then ecosystem health of eleven towns of Tongzhou District was evaluated. This was accomplished by first constructing an index system including three layers which were criterion, factor and index. The criterion layer contained five elements including vigor, organization structure, resilience, ecosystem service function and population health. The indicators amounted in the aggregate to twenty-two. Then the health assessment of the study area was carried out using the fuzzy synthesis evaluation method. The evaluation results were analyzed by GIS techniques. Comprehensive analysis for integral health has shown that eight towns are in sub-healthy conditions, and the other three towns of Songzhuang, Xiji and Yongledian are healthy.

Keywords

township / ecosystem health / fuzzy synthesis evaluation method / Tongzhou District

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Shan SHAN, Lina ZHANG, Xuan WANG, Bin CHEN. Township ecosystem health assessment based on fuzzy synthesis evaluation method: a case study of Tongzhou District, Beijing, China. Front Earth Sci Chin, https://doi.org/10.1007/s11707-009-0031-7

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Acknowledgements

This study was supported by the National Basic Research Program of China (Grant No. 2005CB724204), the National Natural Science Foundation of China (Grant No. 50509001), the Key Science and Technology Program of Ministry of Education (No. 105009) and the Special Fund of Doctor Subject of Chinese Ministry of Education (No. 20040027007).

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