Theoretical analysis and model design of search for ecological conservation redlines based on the sensitivity assessment of ecosystem services |
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| Institution: | 1. College of Economics and Management, Northwest A&F University, Shaanxi, 712100, China;2. Center of Resource Economy and Environmental Management, Northwest A&F University, Shaanxi, 712100, China;1. College of Economics and Management, Northwest A&F University, Yangling, 712100, China;2. Center for Resource Economics and Environment Management, Northwest A&F University, Yangling, 712100, China;1. National Key Lab of Regional and Urban Ecological Protection, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China;2. Nanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing 210042, China;3. Department of Nature and Ecology Conservation, Ministry of Environmental Protection, Beijing, 100035, China;4. Chinese Academy for Environmental Planning, Beijing, 100012, China;1. College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China;2. College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China;3. Shanghai Institute of Geological Survey, Shanghai 200072, China;1. Nanjing Institute of Environmental Science, Ministry of Ecology and Environment of the People’s Republic of China, Nanjing 210042, China;2. Jiangning Environmental Monitoring Station, Nanjing 210000, China;3. Qinghai Eco-Environment Monitoring Center, Xining 810007, China;1. College of Economics and Management, Northwest A&F University, Shaanxi 712100, China;2. Center of Resource Economy and Environmental Management, Northwest A&F University, Shaanxi 712100, China |
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| Abstract: | Most small-scale social economies are characterised by their deficiency, lack, and/or difficulty in matching natural data. Against this backdrop, this paper builds a relatively uniform theoretical framework and designs a more economical and objective method for demarcating ecological conservation redlines (ECR) based on sensitivity assessment of ecosystem services. The results show that the sensitivity assessment model designed in this study can identify sensitive zones effectively, and that the ECR in Hubei Province are well within the sensitive zones so identified. The delimited areas based on the sensitive assessment of ecosystem services have great similarities (95%) with the actual ECR areas in Hubei Province. The most ecologically important functional zones (EIFZ) can also be identified using the regional ecological sensitivity coefficient. When the threshold of EIFZ is set higher, the probability that it falls within the ecologically sensitive areas is greater and the ECR delimited by the method proposed in this study will be more reliable. Theoretically, the delimitation of ECR can be inserted at any evaluation level with a grid resolution higher than that of the land use data, which can be used as a supplement to the ECR delimitation method in ecology or geography. |
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| Keywords: | Ecosystem services Ecological conservation redlines Sensitivity Odds ratio matrix of land use transition Cosine similarity of space vector |
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