Spatiotemporal analysis of ecological vulnerability in the Tibet Autonomous Region based on a pressure-state-response-management framework

The Qinghai-Tibet Plateau is facing a crisis of ecological degradation against a background of global warming and the intensification of human activities. With the aim of evaluating the spatial and temporal distribution of ecological vulnerability, this study established a new comprehensive pressure...

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Autores principales:	Yongjian Jiang, Bin Shi, Guijin Su, Ying Lu, Qianqian Li, Jing Meng, Yanpeng Ding, Shuai Song, Lingwen Dai
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Ecological vulnerability Spatiotemporal distribution Comprehensive evaluation model Driving factors Tibet Autonomous Region Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/1dcc9be9a7eb4139b9151f1f57cfa086
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spelling	oai:doaj.org-article:1dcc9be9a7eb4139b9151f1f57cfa0862021-12-01T04:58:33ZSpatiotemporal analysis of ecological vulnerability in the Tibet Autonomous Region based on a pressure-state-response-management framework1470-160X10.1016/j.ecolind.2021.108054https://doaj.org/article/1dcc9be9a7eb4139b9151f1f57cfa0862021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21007196https://doaj.org/toc/1470-160XThe Qinghai-Tibet Plateau is facing a crisis of ecological degradation against a background of global warming and the intensification of human activities. With the aim of evaluating the spatial and temporal distribution of ecological vulnerability, this study established a new comprehensive pressure-state-response-management (PSRM) model based on the differences in the relative importance of indicators in a vulnerability evaluation system in different regions. The factors influencing ecological vulnerability were determined by calculating the correlation coefficient between the ecological vulnerability index (EVI) and the potential impact factors. The results showed that the spatial distribution of EVI in the Tibet Autonomous Region varied significantly, gradually decreasing from southeast to northwest. The regional ecological environment gradually improved from 2000 to 2015 and the EVI score increased. Following the establishment of national nature reserves in 2005, the areas that were extremely vulnerable in 2000 (accounting for 53% of the total area) were transformed into severely vulnerable or moderately vulnerable areas. The proportion of non-vulnerable areas also increased from 3% in 2010 to 6% in 2015 as cities expanded. The correlation analysis among vectors showed that GDP, population density, the proportion of tertiary industry, education level and policy support were strongly correlated with the EVI. Human activity had a greater impact on the EVI in urban areas. Our study provides suggestions for more sustainable development pathways to reduce environmental pressure and protect the fragile ecological environment. The approach used here can provide technical support and references for the ecological assessment and restoration of other high-altitude zones in China or elsewhere in the world.Yongjian JiangBin ShiGuijin SuYing LuQianqian LiJing MengYanpeng DingShuai SongLingwen DaiElsevierarticleEcological vulnerabilitySpatiotemporal distributionComprehensive evaluation modelDriving factorsTibet Autonomous RegionEcologyQH540-549.5ENEcological Indicators, Vol 130, Iss , Pp 108054- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Ecological vulnerability Spatiotemporal distribution Comprehensive evaluation model Driving factors Tibet Autonomous Region Ecology QH540-549.5
spellingShingle	Ecological vulnerability Spatiotemporal distribution Comprehensive evaluation model Driving factors Tibet Autonomous Region Ecology QH540-549.5 Yongjian Jiang Bin Shi Guijin Su Ying Lu Qianqian Li Jing Meng Yanpeng Ding Shuai Song Lingwen Dai Spatiotemporal analysis of ecological vulnerability in the Tibet Autonomous Region based on a pressure-state-response-management framework
description	The Qinghai-Tibet Plateau is facing a crisis of ecological degradation against a background of global warming and the intensification of human activities. With the aim of evaluating the spatial and temporal distribution of ecological vulnerability, this study established a new comprehensive pressure-state-response-management (PSRM) model based on the differences in the relative importance of indicators in a vulnerability evaluation system in different regions. The factors influencing ecological vulnerability were determined by calculating the correlation coefficient between the ecological vulnerability index (EVI) and the potential impact factors. The results showed that the spatial distribution of EVI in the Tibet Autonomous Region varied significantly, gradually decreasing from southeast to northwest. The regional ecological environment gradually improved from 2000 to 2015 and the EVI score increased. Following the establishment of national nature reserves in 2005, the areas that were extremely vulnerable in 2000 (accounting for 53% of the total area) were transformed into severely vulnerable or moderately vulnerable areas. The proportion of non-vulnerable areas also increased from 3% in 2010 to 6% in 2015 as cities expanded. The correlation analysis among vectors showed that GDP, population density, the proportion of tertiary industry, education level and policy support were strongly correlated with the EVI. Human activity had a greater impact on the EVI in urban areas. Our study provides suggestions for more sustainable development pathways to reduce environmental pressure and protect the fragile ecological environment. The approach used here can provide technical support and references for the ecological assessment and restoration of other high-altitude zones in China or elsewhere in the world.
format	article
author	Yongjian Jiang Bin Shi Guijin Su Ying Lu Qianqian Li Jing Meng Yanpeng Ding Shuai Song Lingwen Dai
author_facet	Yongjian Jiang Bin Shi Guijin Su Ying Lu Qianqian Li Jing Meng Yanpeng Ding Shuai Song Lingwen Dai
author_sort	Yongjian Jiang
title	Spatiotemporal analysis of ecological vulnerability in the Tibet Autonomous Region based on a pressure-state-response-management framework
title_short	Spatiotemporal analysis of ecological vulnerability in the Tibet Autonomous Region based on a pressure-state-response-management framework
title_full	Spatiotemporal analysis of ecological vulnerability in the Tibet Autonomous Region based on a pressure-state-response-management framework
title_fullStr	Spatiotemporal analysis of ecological vulnerability in the Tibet Autonomous Region based on a pressure-state-response-management framework
title_full_unstemmed	Spatiotemporal analysis of ecological vulnerability in the Tibet Autonomous Region based on a pressure-state-response-management framework
title_sort	spatiotemporal analysis of ecological vulnerability in the tibet autonomous region based on a pressure-state-response-management framework
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/1dcc9be9a7eb4139b9151f1f57cfa086
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Spatiotemporal analysis of ecological vulnerability in the Tibet Autonomous Region based on a pressure-state-response-management framework

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