Optimizing ecological security pattern in the coal resource-based city: A case study in Shuozhou City, China

Large-scale mining activities have induced numerous non-negligible eco-geological environmental issues that seriously threaten regional ecological security. Construction and optimization of an ecological security pattern (ESP) can aid coordination of mineral resource development and ecological prote...

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Autores principales:	Sucui Li, Yanling Zhao, Wu Xiao, Wenze Yue, Tong Wu
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Ecological security pattern (ESP) Ecosystem “function-dynamics-structure” conceptual framework Disaster disturbance risk index MCRS model Ecological corridor Gravity model Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/badb32139ddd439093de519dca26897d
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spelling	oai:doaj.org-article:badb32139ddd439093de519dca26897d2021-12-01T04:58:11ZOptimizing ecological security pattern in the coal resource-based city: A case study in Shuozhou City, China1470-160X10.1016/j.ecolind.2021.108026https://doaj.org/article/badb32139ddd439093de519dca26897d2021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21006919https://doaj.org/toc/1470-160XLarge-scale mining activities have induced numerous non-negligible eco-geological environmental issues that seriously threaten regional ecological security. Construction and optimization of an ecological security pattern (ESP) can aid coordination of mineral resource development and ecological protection. An innovative method was proposed to construct and optimize ESP, which used ecosystem “function-dynamics-structure” conceptual framework, disaster disturbance risk index, incorporating ecosystem services importance index into minimum cumulative resistance (MCR) theory (MCRS) model, and gravity model. Specifically, ecological sources are quantitatively cataloged using ecosystem “function-dynamics-structure” conceptual framework. Ecological resistance surface is revised using the disaster disturbance risk index. Ecological corridors are extracted using the MCRS model. Regulation zones are defined by combining the optimized ESP with gravity model. The optimized ESP in Shuozhou city, China includes 67 ecological nodes, 625.97 km2 of primary ecological sources, 83.87 km2 of secondary ecological sources, 534.18 km of primary ecological corridors, and 282.28 km of secondary ecological corridors. These form the spatial pattern of “two horizontal, four vertical and four circles”, which will be used to maintain ecological process continuity and ecological flow within the study area. Corresponding suggestions are proposed to guide the planning of each regulation zone. The restrictive, protective, and suitable development zone areas are 1131.72 km2, 4255.47 km2 and 5238.93 km2, respectively. This methodology is not only suitable for determination of ESPs in coal mining areas, but also provides an approach, i.e., ecosystem “function-dynamics-structure” conceptual framework and MCRS model, that can be used to coordinate sustainable resource exploitation and ecological protection worldwide.Sucui LiYanling ZhaoWu XiaoWenze YueTong WuElsevierarticleEcological security pattern (ESP)Ecosystem “function-dynamics-structure” conceptual frameworkDisaster disturbance risk indexMCRS modelEcological corridorGravity modelEcologyQH540-549.5ENEcological Indicators, Vol 130, Iss , Pp 108026- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Ecological security pattern (ESP) Ecosystem “function-dynamics-structure” conceptual framework Disaster disturbance risk index MCRS model Ecological corridor Gravity model Ecology QH540-549.5
spellingShingle	Ecological security pattern (ESP) Ecosystem “function-dynamics-structure” conceptual framework Disaster disturbance risk index MCRS model Ecological corridor Gravity model Ecology QH540-549.5 Sucui Li Yanling Zhao Wu Xiao Wenze Yue Tong Wu Optimizing ecological security pattern in the coal resource-based city: A case study in Shuozhou City, China
description	Large-scale mining activities have induced numerous non-negligible eco-geological environmental issues that seriously threaten regional ecological security. Construction and optimization of an ecological security pattern (ESP) can aid coordination of mineral resource development and ecological protection. An innovative method was proposed to construct and optimize ESP, which used ecosystem “function-dynamics-structure” conceptual framework, disaster disturbance risk index, incorporating ecosystem services importance index into minimum cumulative resistance (MCR) theory (MCRS) model, and gravity model. Specifically, ecological sources are quantitatively cataloged using ecosystem “function-dynamics-structure” conceptual framework. Ecological resistance surface is revised using the disaster disturbance risk index. Ecological corridors are extracted using the MCRS model. Regulation zones are defined by combining the optimized ESP with gravity model. The optimized ESP in Shuozhou city, China includes 67 ecological nodes, 625.97 km2 of primary ecological sources, 83.87 km2 of secondary ecological sources, 534.18 km of primary ecological corridors, and 282.28 km of secondary ecological corridors. These form the spatial pattern of “two horizontal, four vertical and four circles”, which will be used to maintain ecological process continuity and ecological flow within the study area. Corresponding suggestions are proposed to guide the planning of each regulation zone. The restrictive, protective, and suitable development zone areas are 1131.72 km2, 4255.47 km2 and 5238.93 km2, respectively. This methodology is not only suitable for determination of ESPs in coal mining areas, but also provides an approach, i.e., ecosystem “function-dynamics-structure” conceptual framework and MCRS model, that can be used to coordinate sustainable resource exploitation and ecological protection worldwide.
format	article
author	Sucui Li Yanling Zhao Wu Xiao Wenze Yue Tong Wu
author_facet	Sucui Li Yanling Zhao Wu Xiao Wenze Yue Tong Wu
author_sort	Sucui Li
title	Optimizing ecological security pattern in the coal resource-based city: A case study in Shuozhou City, China
title_short	Optimizing ecological security pattern in the coal resource-based city: A case study in Shuozhou City, China
title_full	Optimizing ecological security pattern in the coal resource-based city: A case study in Shuozhou City, China
title_fullStr	Optimizing ecological security pattern in the coal resource-based city: A case study in Shuozhou City, China
title_full_unstemmed	Optimizing ecological security pattern in the coal resource-based city: A case study in Shuozhou City, China
title_sort	optimizing ecological security pattern in the coal resource-based city: a case study in shuozhou city, china
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/badb32139ddd439093de519dca26897d
work_keys_str_mv	AT sucuili optimizingecologicalsecuritypatterninthecoalresourcebasedcityacasestudyinshuozhoucitychina AT yanlingzhao optimizingecologicalsecuritypatterninthecoalresourcebasedcityacasestudyinshuozhoucitychina AT wuxiao optimizingecologicalsecuritypatterninthecoalresourcebasedcityacasestudyinshuozhoucitychina AT wenzeyue optimizingecologicalsecuritypatterninthecoalresourcebasedcityacasestudyinshuozhoucitychina AT tongwu optimizingecologicalsecuritypatterninthecoalresourcebasedcityacasestudyinshuozhoucitychina
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Optimizing ecological security pattern in the coal resource-based city: A case study in Shuozhou City, China

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