Spatio-Temporal Analysis of Ecological Vulnerability and Driving Factor Analysis in the Dongjiang River Basin, China, in the Recent 20 Years

The global ecological environment faces many challenges. Landsat thematic mapper time-series, digital elevation models, meteorology, soil types, net primary production data, socio-economic data, and auxiliary data were collected in order to construct a comprehensive evaluation system for ecological...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Jiao Wu, Zhijun Zhang, Qinjie He, Guorui Ma
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	ecological vulnerability driving mechanisms remote sensing Dongjiang River Basin Science Q
Acceso en línea:	https://doaj.org/article/6609c6b43b6a48b6810ba22c587b7d52
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:6609c6b43b6a48b6810ba22c587b7d52
record_format	dspace
spelling	oai:doaj.org-article:6609c6b43b6a48b6810ba22c587b7d522021-11-25T18:54:57ZSpatio-Temporal Analysis of Ecological Vulnerability and Driving Factor Analysis in the Dongjiang River Basin, China, in the Recent 20 Years10.3390/rs132246362072-4292https://doaj.org/article/6609c6b43b6a48b6810ba22c587b7d522021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/22/4636https://doaj.org/toc/2072-4292The global ecological environment faces many challenges. Landsat thematic mapper time-series, digital elevation models, meteorology, soil types, net primary production data, socio-economic data, and auxiliary data were collected in order to construct a comprehensive evaluation system for ecological vulnerability (EV) using multi-source remote sensing data. EV was divided into five vulnerability levels: potential I, slight II, mild III, moderate IV, and severe V. Then, we analyzed and explored the spatio-temporal patterns and driving mechanisms of EV in the region over the past 20 years. Our research results showed that, from 2001 to 2019, the DRB was generally characterized as being in the severe vulnerability class, with higher upstream and downstream EV classes and a certain amount of reduction in the midstream EV classes. Moreover, EV in the DRB continues to decrease. The spatio-temporal EV patterns in the DRB were significantly influenced by the relative humidity, average annual temperature, and vegetation cover over the past 20 years. Our work can provide a basis for decision-making and technical support for ecosystem protection, ecological restoration, and ecological management in the DRB.Jiao WuZhijun ZhangQinjie HeGuorui MaMDPI AGarticleecological vulnerabilitydriving mechanismsremote sensingDongjiang River BasinScienceQENRemote Sensing, Vol 13, Iss 4636, p 4636 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	ecological vulnerability driving mechanisms remote sensing Dongjiang River Basin Science Q
spellingShingle	ecological vulnerability driving mechanisms remote sensing Dongjiang River Basin Science Q Jiao Wu Zhijun Zhang Qinjie He Guorui Ma Spatio-Temporal Analysis of Ecological Vulnerability and Driving Factor Analysis in the Dongjiang River Basin, China, in the Recent 20 Years
description	The global ecological environment faces many challenges. Landsat thematic mapper time-series, digital elevation models, meteorology, soil types, net primary production data, socio-economic data, and auxiliary data were collected in order to construct a comprehensive evaluation system for ecological vulnerability (EV) using multi-source remote sensing data. EV was divided into five vulnerability levels: potential I, slight II, mild III, moderate IV, and severe V. Then, we analyzed and explored the spatio-temporal patterns and driving mechanisms of EV in the region over the past 20 years. Our research results showed that, from 2001 to 2019, the DRB was generally characterized as being in the severe vulnerability class, with higher upstream and downstream EV classes and a certain amount of reduction in the midstream EV classes. Moreover, EV in the DRB continues to decrease. The spatio-temporal EV patterns in the DRB were significantly influenced by the relative humidity, average annual temperature, and vegetation cover over the past 20 years. Our work can provide a basis for decision-making and technical support for ecosystem protection, ecological restoration, and ecological management in the DRB.
format	article
author	Jiao Wu Zhijun Zhang Qinjie He Guorui Ma
author_facet	Jiao Wu Zhijun Zhang Qinjie He Guorui Ma
author_sort	Jiao Wu
title	Spatio-Temporal Analysis of Ecological Vulnerability and Driving Factor Analysis in the Dongjiang River Basin, China, in the Recent 20 Years
title_short	Spatio-Temporal Analysis of Ecological Vulnerability and Driving Factor Analysis in the Dongjiang River Basin, China, in the Recent 20 Years
title_full	Spatio-Temporal Analysis of Ecological Vulnerability and Driving Factor Analysis in the Dongjiang River Basin, China, in the Recent 20 Years
title_fullStr	Spatio-Temporal Analysis of Ecological Vulnerability and Driving Factor Analysis in the Dongjiang River Basin, China, in the Recent 20 Years
title_full_unstemmed	Spatio-Temporal Analysis of Ecological Vulnerability and Driving Factor Analysis in the Dongjiang River Basin, China, in the Recent 20 Years
title_sort	spatio-temporal analysis of ecological vulnerability and driving factor analysis in the dongjiang river basin, china, in the recent 20 years
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/6609c6b43b6a48b6810ba22c587b7d52
work_keys_str_mv	AT jiaowu spatiotemporalanalysisofecologicalvulnerabilityanddrivingfactoranalysisinthedongjiangriverbasinchinaintherecent20years AT zhijunzhang spatiotemporalanalysisofecologicalvulnerabilityanddrivingfactoranalysisinthedongjiangriverbasinchinaintherecent20years AT qinjiehe spatiotemporalanalysisofecologicalvulnerabilityanddrivingfactoranalysisinthedongjiangriverbasinchinaintherecent20years AT guoruima spatiotemporalanalysisofecologicalvulnerabilityanddrivingfactoranalysisinthedongjiangriverbasinchinaintherecent20years
_version_	1718410527590318080

Spatio-Temporal Analysis of Ecological Vulnerability and Driving Factor Analysis in the Dongjiang River Basin, China, in the Recent 20 Years

Ejemplares similares