Ecosystem health assessment based on analysis of a land use database |
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| Institution: | 1. College of Tourism, Shanghai Normal University, Shanghai 200234, PR China;2. College of Life and Environmental Sciences, Shanghai Normal University, Shanghai 200234, PR China;3. Environmental Sciences Division, Oak Ridge National Laboratory, TN 37831, USA;1. State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China;2. University of Chinese Academy of Sciences, Beijing 100049, China;1. State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China;2. North Research Center for Rural Wastewater Treatment Technology, Ministry of Housing and Urban-Rural Development, Beijing 100085, China;3. University of Chinese Academy of Sciences, Beijing 100049, China |
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| Abstract: | Data resources and assessment frameworks are two keys to ecosystem health assessment (EHA). Application of the land use database together with the Pressure–State–Response (PSR) model in EHA provides better precision relative to traditional data resources and assessment frameworks for EHA at the county scale. The raw data are taken from The Anlu County Annals, The Soil Records of Anlu County, and The Statistical Yearbook of National Economy in Anlu County. The spatial and attribute data are partly extracted from the database of current land use in Anlu City using the MAPGIS platform. Based on the results from principal component analysis (PCA), a total of eleven indicators were selected to build an indicator system designed to assess the ecosystem health at the county scale. According to the PSR model, the scores from three indices (press index, state index, and response index) and a comprehensive assessment index (CAI) were calculated, and an assessment map was constructed. The results from the index scores and spatial analysis display a large range for the state of ecosystem health due to the evolution of natural ecosystems and human activities at the county scale. The precision of the current land use database (scale of 1:10,000) makes it a better candidate for evaluating ecosystem health than the traditional data resources. This study also demonstrates the numerous benefits of combining land use databases with GIS functions to assess ecosystem health at the county scale. |
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| Keywords: | Ecosystem health Vigor–organization–resilience model Pressure–state–response model Land use database Principal component analysis GIS |
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