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Construction of the Ecological Security Pattern of Urban Agglomeration under the Framework of Supply and Demand of Ecosystem Services Using Bayesian Network Machine Learning: Case Study of the Changsha-Zhuzhou-Xiangtan Urban Agglomeration, China

文献类型：期刊论文

作者Ouyang, Xiao1,2; Wang, Zhenbo3; Zhu, Xiang2
刊名SUSTAINABILITY
出版日期2019-11-01
卷号11期号:22页码:16
关键词ecological security pattern ecological strategy point ecological source ecological corridor the urban agglomeration
DOI10.3390/su11226416
通讯作者Zhu, Xiang(zhuxiang882000@aliyun.com)
英文摘要Coordinating ecosystem service supply and demand equilibrium and utilizing machine learning to dynamically construct an ecological security pattern (ESP) can help better understand the impact of urban development on ecological processes, which can be used as a theoretical reference in coupling economic growth and environmental protection. Here, the ESP of the Changsha-Zhuzhou-Xiangtan urban agglomeration was constructed, which made use of the Bayesian network model to dynamically identify the ecological sources. The ecological corridor and ecological strategy points were identified using the minimum cumulative resistance model and circuit theory. The ESP was constructed by combining seven ecological sources, "two horizontal and three vertical" ecological corridors, and 37 ecological strategy points. Our results found spatial decoupling between the supply and demand of ecosystem services (ES) and the degradation in areas with high demand for ES. The ecological sources and ecological corridors of the urban agglomeration were mainly situated in forestlands and water areas. The terrestrial ecological corridor was distributed along the outer periphery of the urban agglomeration, while the aquatic ecological corridor ran from north to south throughout the entire region. The ecological strategic points were mainly concentrated along the boundaries of the built-up area and the intersection between construction land and ecological land. Finally, the ecological sources were found primarily on existing ecological protection zones, which supports the usefulness of machine learning in predicting ecological sources and may provide new insights in developing urban ESP.
WOS关键词LAND-USE ; NATURE-RESERVE ; LANDSCAPE ; CORRIDORS ; IDENTIFY ; BIODIVERSITY ; DYNAMICS ; IMPACT ; REGION ; VALUES
资助项目Major Program of National Social Science Foundation of China[18ZDA040] ; Open Topic of Hunan Key Laboratory of Land Resources Evaluation and Utilization[SYS-ZX-201902]
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000503277900229
出版者MDPI
资助机构Major Program of National Social Science Foundation of China ; Open Topic of Hunan Key Laboratory of Land Resources Evaluation and Utilization
源URL[http://ir.igsnrr.ac.cn/handle/311030/131120]  
专题中国科学院地理科学与资源研究所
通讯作者Zhu, Xiang
作者单位1.Hunan Key Lab Land Resources Evaluat & Utilizat, Changsha 410007, Hunan, Peoples R China
2.Hunan Normal Univ, Coll Resources & Environm Sci, Changsha 410081, Hunan, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Ouyang, Xiao,Wang, Zhenbo,Zhu, Xiang. Construction of the Ecological Security Pattern of Urban Agglomeration under the Framework of Supply and Demand of Ecosystem Services Using Bayesian Network Machine Learning: Case Study of the Changsha-Zhuzhou-Xiangtan Urban Agglomeration, China[J]. SUSTAINABILITY,2019,11(22):16.
APA Ouyang, Xiao,Wang, Zhenbo,&Zhu, Xiang.(2019).Construction of the Ecological Security Pattern of Urban Agglomeration under the Framework of Supply and Demand of Ecosystem Services Using Bayesian Network Machine Learning: Case Study of the Changsha-Zhuzhou-Xiangtan Urban Agglomeration, China.SUSTAINABILITY,11(22),16.
MLA Ouyang, Xiao,et al."Construction of the Ecological Security Pattern of Urban Agglomeration under the Framework of Supply and Demand of Ecosystem Services Using Bayesian Network Machine Learning: Case Study of the Changsha-Zhuzhou-Xiangtan Urban Agglomeration, China".SUSTAINABILITY 11.22(2019):16.

入库方式： OAI收割

来源：地理科学与资源研究所

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