Path analysis model to identify and analyse the causes of aeolian desertification in Mu Us Sandy Land, China

As is a land degradation process caused by an uncoordinated Human-Earth relationship, aeolian desertification has threatened the safety of eco-environmental and the development of social economy in northern China. Although most studies focus on the causes or driving forces of aeolian desertification...

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Autores principales:	Kun Feng, Tao Wang, Shulin Liu, Changzhen Yan, Wenping Kang, Xiang Chen, Zichen Guo
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Aeolian desertification Path analysis model Spatial-temporal dynamics Driving factors Mu Us Sandy Land Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/4cb2ef49a4af48c18178f2096b744290
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id	oai:doaj.org-article:4cb2ef49a4af48c18178f2096b744290
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spelling	oai:doaj.org-article:4cb2ef49a4af48c18178f2096b7442902021-12-01T04:45:07ZPath analysis model to identify and analyse the causes of aeolian desertification in Mu Us Sandy Land, China1470-160X10.1016/j.ecolind.2021.107386https://doaj.org/article/4cb2ef49a4af48c18178f2096b7442902021-05-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21000510https://doaj.org/toc/1470-160XAs is a land degradation process caused by an uncoordinated Human-Earth relationship, aeolian desertification has threatened the safety of eco-environmental and the development of social economy in northern China. Although most studies focus on the causes or driving forces of aeolian desertification with climatic and anthropogenic factors, lack of the impact analysis of the relationship between climate change and human activities, the driving mechanism still remain unclear. In the present study, first the spatial patterns of aeolian desertification land from 1975 to 2015 were obtained by visual interpretation in Mu Us Sandy Land with satellite data. Then, climatic (i.e., temperature, precipitation, relative humidity, and wind speed), and socio-economic data (i.e., population density, livestock, woodland area, and farmland area) were combined with the aeolian desertification pattern to investigate the direct and indirect effects of climate change and human activities on the aeolian desertification via the path analysis model. The results are as follows: (1) During the past 4 decades, the aeolian desertification in Mu Us Sandy Land showed a trend of “violent development-slow reversal” with extremely severe aeolian desertified land as the main representative. The aeolian desertified land area reached 57,778.32 km2 by 2015. (2) Overall, human activities accounted for 50.96% of the relative influence on aeolian desertification land net growth rate, followed by climate 49.04%, with the temperature, livestock, and population as dominate factors. (3) Path analysis identified a network of inter-correlations of human activities and climate in determining aeolian desertification land net growth rate. (4) The direct correlation of aeolian desertification land net growth rate with human activities was significantly weakened if removing the effects of climate. These results reveal the relative importance of human activities and climate and their complex interconnections in regulating aeolian desertification process.Kun FengTao WangShulin LiuChangzhen YanWenping KangXiang ChenZichen GuoElsevierarticleAeolian desertificationPath analysis modelSpatial-temporal dynamicsDriving factorsMu Us Sandy LandEcologyQH540-549.5ENEcological Indicators, Vol 124, Iss , Pp 107386- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Aeolian desertification Path analysis model Spatial-temporal dynamics Driving factors Mu Us Sandy Land Ecology QH540-549.5
spellingShingle	Aeolian desertification Path analysis model Spatial-temporal dynamics Driving factors Mu Us Sandy Land Ecology QH540-549.5 Kun Feng Tao Wang Shulin Liu Changzhen Yan Wenping Kang Xiang Chen Zichen Guo Path analysis model to identify and analyse the causes of aeolian desertification in Mu Us Sandy Land, China
description	As is a land degradation process caused by an uncoordinated Human-Earth relationship, aeolian desertification has threatened the safety of eco-environmental and the development of social economy in northern China. Although most studies focus on the causes or driving forces of aeolian desertification with climatic and anthropogenic factors, lack of the impact analysis of the relationship between climate change and human activities, the driving mechanism still remain unclear. In the present study, first the spatial patterns of aeolian desertification land from 1975 to 2015 were obtained by visual interpretation in Mu Us Sandy Land with satellite data. Then, climatic (i.e., temperature, precipitation, relative humidity, and wind speed), and socio-economic data (i.e., population density, livestock, woodland area, and farmland area) were combined with the aeolian desertification pattern to investigate the direct and indirect effects of climate change and human activities on the aeolian desertification via the path analysis model. The results are as follows: (1) During the past 4 decades, the aeolian desertification in Mu Us Sandy Land showed a trend of “violent development-slow reversal” with extremely severe aeolian desertified land as the main representative. The aeolian desertified land area reached 57,778.32 km2 by 2015. (2) Overall, human activities accounted for 50.96% of the relative influence on aeolian desertification land net growth rate, followed by climate 49.04%, with the temperature, livestock, and population as dominate factors. (3) Path analysis identified a network of inter-correlations of human activities and climate in determining aeolian desertification land net growth rate. (4) The direct correlation of aeolian desertification land net growth rate with human activities was significantly weakened if removing the effects of climate. These results reveal the relative importance of human activities and climate and their complex interconnections in regulating aeolian desertification process.
format	article
author	Kun Feng Tao Wang Shulin Liu Changzhen Yan Wenping Kang Xiang Chen Zichen Guo
author_facet	Kun Feng Tao Wang Shulin Liu Changzhen Yan Wenping Kang Xiang Chen Zichen Guo
author_sort	Kun Feng
title	Path analysis model to identify and analyse the causes of aeolian desertification in Mu Us Sandy Land, China
title_short	Path analysis model to identify and analyse the causes of aeolian desertification in Mu Us Sandy Land, China
title_full	Path analysis model to identify and analyse the causes of aeolian desertification in Mu Us Sandy Land, China
title_fullStr	Path analysis model to identify and analyse the causes of aeolian desertification in Mu Us Sandy Land, China
title_full_unstemmed	Path analysis model to identify and analyse the causes of aeolian desertification in Mu Us Sandy Land, China
title_sort	path analysis model to identify and analyse the causes of aeolian desertification in mu us sandy land, china
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/4cb2ef49a4af48c18178f2096b744290
work_keys_str_mv	AT kunfeng pathanalysismodeltoidentifyandanalysethecausesofaeoliandesertificationinmuussandylandchina AT taowang pathanalysismodeltoidentifyandanalysethecausesofaeoliandesertificationinmuussandylandchina AT shulinliu pathanalysismodeltoidentifyandanalysethecausesofaeoliandesertificationinmuussandylandchina AT changzhenyan pathanalysismodeltoidentifyandanalysethecausesofaeoliandesertificationinmuussandylandchina AT wenpingkang pathanalysismodeltoidentifyandanalysethecausesofaeoliandesertificationinmuussandylandchina AT xiangchen pathanalysismodeltoidentifyandanalysethecausesofaeoliandesertificationinmuussandylandchina AT zichenguo pathanalysismodeltoidentifyandanalysethecausesofaeoliandesertificationinmuussandylandchina
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Path analysis model to identify and analyse the causes of aeolian desertification in Mu Us Sandy Land, China

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