Spatiotemporal variation and influencing factors of vegetation dynamics based on Geodetector: A case study of the northwestern Yunnan Plateau, China

Exploring vegetation dynamics and their responses to different natural and anthropogenic factors is crucial for understanding ecosystem processes in the context of global change. As an important ecological security barrier in Southwest China, the northwestern Yunnan Plateau (NYP) provides a variety...

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Autores principales:	Hong Huo, Changping Sun
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Vegetation dynamics Quantitative analysis Interactions Geodetector Northwestern Yunnan Plateau Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/aad92030d8af4f7b958e8a5232f52d43
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spelling	oai:doaj.org-article:aad92030d8af4f7b958e8a5232f52d432021-12-01T04:57:48ZSpatiotemporal variation and influencing factors of vegetation dynamics based on Geodetector: A case study of the northwestern Yunnan Plateau, China1470-160X10.1016/j.ecolind.2021.108005https://doaj.org/article/aad92030d8af4f7b958e8a5232f52d432021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21006701https://doaj.org/toc/1470-160XExploring vegetation dynamics and their responses to different natural and anthropogenic factors is crucial for understanding ecosystem processes in the context of global change. As an important ecological security barrier in Southwest China, the northwestern Yunnan Plateau (NYP) provides a variety of ecosystem services. In this study, we investigated the spatiotemporal variation in vegetation cover and quantitatively analysed the relative contributions of potential influencing factors and their interactions to vegetation change on the NYP from 2005 to 2015 using a novel spatial analysis method, the Geodetector model (GDM). Additionally, the most suitable types or ranges of the main influencing factors that were conducive to vegetation growth were identified. Our results showed that the trend of vegetation cover on the NYP was generally negative, with a rate of − 0.0031 yr−1 during the 11-year study period, and was spatially heterogeneous. Areas with obviously decreasing trends were almost twice as large as those with increasing trends (27.49% and 14.37%, respectively) and were mainly concentrated in southeastern and northern Dali as well as the central part of Diqing. Vegetation dynamics were primarily driven by soil type (24.8%), elevation (18.6%), geomorphic type (16.1%), and vegetation type (13.2%), and anthropogenic factors played a weak role in vegetation change, with a contribution of less than 10%, demonstrating that the influences of natural factors on vegetation change were greater than those of anthropogenic factors. Moreover, the interaction of pairwise factors played a more important role in affecting vegetation dynamics than did each factor individually. These findings are helpful for better understanding the complex mechanisms of vegetation change and providing scientific suggestions for the prevention of vegetation degradation in fragile ecosystems.Hong HuoChangping SunElsevierarticleVegetation dynamicsQuantitative analysisInteractionsGeodetectorNorthwestern Yunnan PlateauEcologyQH540-549.5ENEcological Indicators, Vol 130, Iss , Pp 108005- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Vegetation dynamics Quantitative analysis Interactions Geodetector Northwestern Yunnan Plateau Ecology QH540-549.5
spellingShingle	Vegetation dynamics Quantitative analysis Interactions Geodetector Northwestern Yunnan Plateau Ecology QH540-549.5 Hong Huo Changping Sun Spatiotemporal variation and influencing factors of vegetation dynamics based on Geodetector: A case study of the northwestern Yunnan Plateau, China
description	Exploring vegetation dynamics and their responses to different natural and anthropogenic factors is crucial for understanding ecosystem processes in the context of global change. As an important ecological security barrier in Southwest China, the northwestern Yunnan Plateau (NYP) provides a variety of ecosystem services. In this study, we investigated the spatiotemporal variation in vegetation cover and quantitatively analysed the relative contributions of potential influencing factors and their interactions to vegetation change on the NYP from 2005 to 2015 using a novel spatial analysis method, the Geodetector model (GDM). Additionally, the most suitable types or ranges of the main influencing factors that were conducive to vegetation growth were identified. Our results showed that the trend of vegetation cover on the NYP was generally negative, with a rate of − 0.0031 yr−1 during the 11-year study period, and was spatially heterogeneous. Areas with obviously decreasing trends were almost twice as large as those with increasing trends (27.49% and 14.37%, respectively) and were mainly concentrated in southeastern and northern Dali as well as the central part of Diqing. Vegetation dynamics were primarily driven by soil type (24.8%), elevation (18.6%), geomorphic type (16.1%), and vegetation type (13.2%), and anthropogenic factors played a weak role in vegetation change, with a contribution of less than 10%, demonstrating that the influences of natural factors on vegetation change were greater than those of anthropogenic factors. Moreover, the interaction of pairwise factors played a more important role in affecting vegetation dynamics than did each factor individually. These findings are helpful for better understanding the complex mechanisms of vegetation change and providing scientific suggestions for the prevention of vegetation degradation in fragile ecosystems.
format	article
author	Hong Huo Changping Sun
author_facet	Hong Huo Changping Sun
author_sort	Hong Huo
title	Spatiotemporal variation and influencing factors of vegetation dynamics based on Geodetector: A case study of the northwestern Yunnan Plateau, China
title_short	Spatiotemporal variation and influencing factors of vegetation dynamics based on Geodetector: A case study of the northwestern Yunnan Plateau, China
title_full	Spatiotemporal variation and influencing factors of vegetation dynamics based on Geodetector: A case study of the northwestern Yunnan Plateau, China
title_fullStr	Spatiotemporal variation and influencing factors of vegetation dynamics based on Geodetector: A case study of the northwestern Yunnan Plateau, China
title_full_unstemmed	Spatiotemporal variation and influencing factors of vegetation dynamics based on Geodetector: A case study of the northwestern Yunnan Plateau, China
title_sort	spatiotemporal variation and influencing factors of vegetation dynamics based on geodetector: a case study of the northwestern yunnan plateau, china
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/aad92030d8af4f7b958e8a5232f52d43
work_keys_str_mv	AT honghuo spatiotemporalvariationandinfluencingfactorsofvegetationdynamicsbasedongeodetectoracasestudyofthenorthwesternyunnanplateauchina AT changpingsun spatiotemporalvariationandinfluencingfactorsofvegetationdynamicsbasedongeodetectoracasestudyofthenorthwesternyunnanplateauchina
_version_	1718405682105942016

Spatiotemporal variation and influencing factors of vegetation dynamics based on Geodetector: A case study of the northwestern Yunnan Plateau, China

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