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

doi:10.3390/su11226416

	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
	Ouyang, Xiao 1,2; Wang, Zhenbo 3; Zhu, Xiang 2
刊名	SUSTAINABILITY
	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
DOI	10.3390/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.
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关键词	LAND-USE ; NATURE-RESERVE ; LANDSCAPE ; CORRIDORS ; IDENTIFY ; BIODIVERSITY ; DYNAMICS ; IMPACT ; REGION ; VALUES
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
语种	英语
出版者	MDPI
WOS记录号	WOS:000503277900229
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
内容类型	期刊论文
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.