干旱区生态环境知识资源中心(Arid): Incorporating ecological risk index in the multi-process MCRE model to optimize the ecological security pattern in a semi-arid area with intensive coal mining: A case study in northern China

Arid

DOI	10.1016/j.jclepro.2019.119143
	Incorporating ecological risk index in the multi-process MCRE model to optimize the ecological security pattern in a semi-arid area with intensive coal mining: A case study in northern China
	Li, Sucui 1; Xiao, Wu 2; Zhao, Yanling 1; Lv, Xuejiao 1
通讯作者	Xiao, Wu
来源期刊	JOURNAL OF CLEANER PRODUCTION
ISSN	0959-6526
EISSN	1879-1786
出版年	2020
卷号	247
英文摘要	High-intensity coal mining has resulted in numerous ecological and environmental problems, and seriously threatens ecological security in China. The identification and optimization of the ecological security pattern (ESP) can facilitate sustainable development while preserving the integrity and stability of ecosystems, which is important for improving ecological security in fragile ecosystems and areas of intensive coal mining. This paper presents an integrated framework for identifying, analyzing, and optimizing ESP in consideration of the core area extracted based on morphological spatial pattern analysis (MSPA), ecosystem services importance, and ecological risk index. The innovative method combines the model of linking different ecological source grades to multi-process minimum cumulative resistance (multi-process MCRE model) and kernel density analysis and includes the following steps: (1) ecological patches are delimited by assessing ecosystem services importance based on the contributions of water resources supply, soil conservation, gas regulation, and habitat maintenance; (2) ecological sources are identified by considering landscape connectivity along with the number and area of important ecological patches; (3) ecological resistance coefficient is determined based on the ecological risk index, which is constructed by coupling the surface drought index, landscape ecological risk index, and mine disaster risk index; (4) ecological corridors are extracted using the multi-process MCRE model, which is based on minimum cumulative resistance (MCR) theory, and the ecological potentials of ecological sources; and (5) the ESP is optimized via kernel density analysis, and regulation zones are defined based on the optimized ESP. Results demonstrate that the optimized ESP in study area included 3326 km(2) of ecological sources that primarily dominated by grassland, 58 ecological nodes, 827.92 km of group corridors and 308.21 km of landscape corridors; which distribution pattern was three horizontal, two vertical, and two circles to ensure continuity of ecological process within study area. The restrictive, protective and key development areas accounted for 17.36%, 59.81%, and 22.83%, respectively; and corresponding planning recommendations were raised. This study not only provides an effective framework to identify, construct, and optimize ESPs in ecologically fragile coal-mining areas, but also purposes the multi-process MCRE model and ecological sources quantification that suitable for global region to achieve the sustainability between resource exploitation, urban development, and ecological protection. (C) 2019 Elsevier Ltd. All rights reserved.
英文关键词	Ecological security pattern (ESP) Ecological source Ecological corridor Ecological risk index Multi-process MCRE model Landscape connectivity index
类型	Article
语种	英语
国家	Peoples R China
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000505696700061
WOS关键词	LAND-USE CHANGE ; ECOSYSTEM SERVICES ; HABITAT QUALITY ; LANDSCAPE ; IDENTIFY ; IMPACT ; CONNECTIVITY ; BIODIVERSITY ; RESTORATION ; DYNAMICS
WOS类目	Green & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences
WOS研究方向	Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/314912
作者单位	1.China Univ Min & Technol, Coll Geosci & Surveying Engn, D11 Xueyuan Rd, Beijing 100083, Peoples R China; 2.Zhejiang Univ, Dept Land Management, 866 Yuhangtang Rd, Hangzhou 310058, Zhejiang, Peoples R China
推荐引用方式 GB/T 7714	Li, Sucui,Xiao, Wu,Zhao, Yanling,et al. Incorporating ecological risk index in the multi-process MCRE model to optimize the ecological security pattern in a semi-arid area with intensive coal mining: A case study in northern China[J],2020,247.
APA	Li, Sucui,Xiao, Wu,Zhao, Yanling,&Lv, Xuejiao.(2020).Incorporating ecological risk index in the multi-process MCRE model to optimize the ecological security pattern in a semi-arid area with intensive coal mining: A case study in northern China.JOURNAL OF CLEANER PRODUCTION,247.
MLA	Li, Sucui,et al."Incorporating ecological risk index in the multi-process MCRE model to optimize the ecological security pattern in a semi-arid area with intensive coal mining: A case study in northern China".JOURNAL OF CLEANER PRODUCTION 247(2020).