Identifying and setting the natural spaces priority based on the multi-ecosystem services capacity index

The loss and fragmentation of natural spaces in rapidly urbanized areas have greatly reduced their capacity to provide multiple ecosystem services (ESs). It is of great importance to identify natural spaces with key ecological functions, which are used to construct effective and efficient ecological...

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Autores principales:	Jiake Shen, Xiaolu Guo, Yuncai Wang
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Multi-ecosystem services Ecosystem service capacity index Natural space Spatial priority identification Ecosystem services mapping Ecological network planning Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/f2fa4e5244f24a669df19bac785da4f1
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spelling	oai:doaj.org-article:f2fa4e5244f24a669df19bac785da4f12021-12-01T04:46:56ZIdentifying and setting the natural spaces priority based on the multi-ecosystem services capacity index1470-160X10.1016/j.ecolind.2021.107473https://doaj.org/article/f2fa4e5244f24a669df19bac785da4f12021-06-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21001382https://doaj.org/toc/1470-160XThe loss and fragmentation of natural spaces in rapidly urbanized areas have greatly reduced their capacity to provide multiple ecosystem services (ESs). It is of great importance to identify natural spaces with key ecological functions, which are used to construct effective and efficient ecological networks, especially in urbanized areas where natural spaces are limited. This paper individually evaluated five key ESs provided by natural spaces in the Su-Jia-Hu area. By constructing an evaluation model coupling individual ESs, the multi-ecosystem service capacity index (MESC index) of each natural space was calculated. The index evaluation results showed that the overall level of ES supply was the highest in the two types of natural space, which were lakes and forests. The results of the clustering analysis on this basis showed that the natural space priority could be divided into six grades: the first grade was the large ecological conservation area, the second and third grades were the important ecological hubs, and the fourth, fifth and sixth grades were the potential stepping stones and structural corridors. The method based on the MESC index evaluation proposed here provided a scientific and repeatable framework for the identification and management of important natural spaces in ecological network planning and useful reference information for planners and decision makers.Jiake ShenXiaolu GuoYuncai WangElsevierarticleMulti-ecosystem servicesEcosystem service capacity indexNatural spaceSpatial priority identificationEcosystem services mappingEcological network planningEcologyQH540-549.5ENEcological Indicators, Vol 125, Iss , Pp 107473- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Multi-ecosystem services Ecosystem service capacity index Natural space Spatial priority identification Ecosystem services mapping Ecological network planning Ecology QH540-549.5
spellingShingle	Multi-ecosystem services Ecosystem service capacity index Natural space Spatial priority identification Ecosystem services mapping Ecological network planning Ecology QH540-549.5 Jiake Shen Xiaolu Guo Yuncai Wang Identifying and setting the natural spaces priority based on the multi-ecosystem services capacity index
description	The loss and fragmentation of natural spaces in rapidly urbanized areas have greatly reduced their capacity to provide multiple ecosystem services (ESs). It is of great importance to identify natural spaces with key ecological functions, which are used to construct effective and efficient ecological networks, especially in urbanized areas where natural spaces are limited. This paper individually evaluated five key ESs provided by natural spaces in the Su-Jia-Hu area. By constructing an evaluation model coupling individual ESs, the multi-ecosystem service capacity index (MESC index) of each natural space was calculated. The index evaluation results showed that the overall level of ES supply was the highest in the two types of natural space, which were lakes and forests. The results of the clustering analysis on this basis showed that the natural space priority could be divided into six grades: the first grade was the large ecological conservation area, the second and third grades were the important ecological hubs, and the fourth, fifth and sixth grades were the potential stepping stones and structural corridors. The method based on the MESC index evaluation proposed here provided a scientific and repeatable framework for the identification and management of important natural spaces in ecological network planning and useful reference information for planners and decision makers.
format	article
author	Jiake Shen Xiaolu Guo Yuncai Wang
author_facet	Jiake Shen Xiaolu Guo Yuncai Wang
author_sort	Jiake Shen
title	Identifying and setting the natural spaces priority based on the multi-ecosystem services capacity index
title_short	Identifying and setting the natural spaces priority based on the multi-ecosystem services capacity index
title_full	Identifying and setting the natural spaces priority based on the multi-ecosystem services capacity index
title_fullStr	Identifying and setting the natural spaces priority based on the multi-ecosystem services capacity index
title_full_unstemmed	Identifying and setting the natural spaces priority based on the multi-ecosystem services capacity index
title_sort	identifying and setting the natural spaces priority based on the multi-ecosystem services capacity index
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/f2fa4e5244f24a669df19bac785da4f1
work_keys_str_mv	AT jiakeshen identifyingandsettingthenaturalspacesprioritybasedonthemultiecosystemservicescapacityindex AT xiaoluguo identifyingandsettingthenaturalspacesprioritybasedonthemultiecosystemservicescapacityindex AT yuncaiwang identifyingandsettingthenaturalspacesprioritybasedonthemultiecosystemservicescapacityindex
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Identifying and setting the natural spaces priority based on the multi-ecosystem services capacity index

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