Driving factors of desertification in Qaidam Basin, China: An 18-year analysis using the geographic detector model

The Qaidam Basin is a cornucopia of salt mineral resources in China, but desertification in the basin has seriously impacted residents’ lives and economic development. Comprehensive analyses of the spatial distribution characteristics of desertification and its driving factors will improve understan...

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Autores principales:	Jinjun Han, Jianping Wang, Liang Chen, Jiangyun Xiang, Zhiyong Ling, Qingkuan Li, Erlong Wang
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Desertification Driving factors Qaidam Basin Geographical detector model Fractional vegetation cover (FVC) Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/cc9a0d16bec34df7a88a2f0dba895ab7
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spelling	oai:doaj.org-article:cc9a0d16bec34df7a88a2f0dba895ab72021-12-01T04:45:32ZDriving factors of desertification in Qaidam Basin, China: An 18-year analysis using the geographic detector model1470-160X10.1016/j.ecolind.2021.107404https://doaj.org/article/cc9a0d16bec34df7a88a2f0dba895ab72021-05-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21000698https://doaj.org/toc/1470-160XThe Qaidam Basin is a cornucopia of salt mineral resources in China, but desertification in the basin has seriously impacted residents’ lives and economic development. Comprehensive analyses of the spatial distribution characteristics of desertification and its driving factors will improve understanding of the causes of desertification. To explore these causes and related driving factors, we used the geographical detector model and geographical information system (GIS) techniques to quantify the relative importance and interactions of driving factors, including meteorological, environmental, and human factors. We found that desertification in the southern Kunlun Mountains, eastern Qilian Mountains, and front of the alluvial fan in the northern Kunlun Mountains was low. This was mainly due to the relatively abundant water resources in these areas. Desertification in the central and western Qaidam Basin was high primarily on account of the abnormally high evaporation. The power of determinant value showed that evaporation (0.481) had the strongest impact on desertification, followed by precipitation (0.460), vegetation type (0.360), soil type (0.293), and temperature (0.251). Evaporation has significantly positive effect on the level of desertification, and precipitation has significantly negative effect. Meteorological factors had the greatest impact on desertification, followed by environmental factors, whereas human factors were the least influential. Despite the small population in the basin and limited economic development, the impact of human activities on desertification cannot be ignored. Our results further indicated that the interactions between the driving factors could enhance the evaluation of desertification. This study comprehensively considered three types of impact factor and a total of nine driving factors. It also analyzed the spatial distribution characteristics and driving factors of desertification in the basin, which improved understanding of desertification in such arid and semi-arid regions in northwest China.Jinjun HanJianping WangLiang ChenJiangyun XiangZhiyong LingQingkuan LiErlong WangElsevierarticleDesertificationDriving factorsQaidam BasinGeographical detector modelFractional vegetation cover (FVC)EcologyQH540-549.5ENEcological Indicators, Vol 124, Iss , Pp 107404- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Desertification Driving factors Qaidam Basin Geographical detector model Fractional vegetation cover (FVC) Ecology QH540-549.5
spellingShingle	Desertification Driving factors Qaidam Basin Geographical detector model Fractional vegetation cover (FVC) Ecology QH540-549.5 Jinjun Han Jianping Wang Liang Chen Jiangyun Xiang Zhiyong Ling Qingkuan Li Erlong Wang Driving factors of desertification in Qaidam Basin, China: An 18-year analysis using the geographic detector model
description	The Qaidam Basin is a cornucopia of salt mineral resources in China, but desertification in the basin has seriously impacted residents’ lives and economic development. Comprehensive analyses of the spatial distribution characteristics of desertification and its driving factors will improve understanding of the causes of desertification. To explore these causes and related driving factors, we used the geographical detector model and geographical information system (GIS) techniques to quantify the relative importance and interactions of driving factors, including meteorological, environmental, and human factors. We found that desertification in the southern Kunlun Mountains, eastern Qilian Mountains, and front of the alluvial fan in the northern Kunlun Mountains was low. This was mainly due to the relatively abundant water resources in these areas. Desertification in the central and western Qaidam Basin was high primarily on account of the abnormally high evaporation. The power of determinant value showed that evaporation (0.481) had the strongest impact on desertification, followed by precipitation (0.460), vegetation type (0.360), soil type (0.293), and temperature (0.251). Evaporation has significantly positive effect on the level of desertification, and precipitation has significantly negative effect. Meteorological factors had the greatest impact on desertification, followed by environmental factors, whereas human factors were the least influential. Despite the small population in the basin and limited economic development, the impact of human activities on desertification cannot be ignored. Our results further indicated that the interactions between the driving factors could enhance the evaluation of desertification. This study comprehensively considered three types of impact factor and a total of nine driving factors. It also analyzed the spatial distribution characteristics and driving factors of desertification in the basin, which improved understanding of desertification in such arid and semi-arid regions in northwest China.
format	article
author	Jinjun Han Jianping Wang Liang Chen Jiangyun Xiang Zhiyong Ling Qingkuan Li Erlong Wang
author_facet	Jinjun Han Jianping Wang Liang Chen Jiangyun Xiang Zhiyong Ling Qingkuan Li Erlong Wang
author_sort	Jinjun Han
title	Driving factors of desertification in Qaidam Basin, China: An 18-year analysis using the geographic detector model
title_short	Driving factors of desertification in Qaidam Basin, China: An 18-year analysis using the geographic detector model
title_full	Driving factors of desertification in Qaidam Basin, China: An 18-year analysis using the geographic detector model
title_fullStr	Driving factors of desertification in Qaidam Basin, China: An 18-year analysis using the geographic detector model
title_full_unstemmed	Driving factors of desertification in Qaidam Basin, China: An 18-year analysis using the geographic detector model
title_sort	driving factors of desertification in qaidam basin, china: an 18-year analysis using the geographic detector model
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/cc9a0d16bec34df7a88a2f0dba895ab7
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Driving factors of desertification in Qaidam Basin, China: An 18-year analysis using the geographic detector model

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