Satellite view of vegetation dynamics and drivers over southwestern China

Vegetation is a key component of the terrestrial ecosystems, its dynamics serve as an indicator of vegetation health and ecosystem stability. However, the vegetation dynamics and its responses to climatic change and human activities remain unclear in southwestern China. The normalized difference veg...

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Autores principales:	Wei Yan, Hesong Wang, Chao Jiang, Shaofei Jin, Jinlong Ai, Osbert Jianxin Sun
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	NDVI Vegetation dynamics Climate Human activities Breakpoint analysis Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/d655e89a24df4301990489700bf67c3a
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id	oai:doaj.org-article:d655e89a24df4301990489700bf67c3a
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spelling	oai:doaj.org-article:d655e89a24df4301990489700bf67c3a2021-12-01T04:58:49ZSatellite view of vegetation dynamics and drivers over southwestern China1470-160X10.1016/j.ecolind.2021.108074https://doaj.org/article/d655e89a24df4301990489700bf67c3a2021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21007391https://doaj.org/toc/1470-160XVegetation is a key component of the terrestrial ecosystems, its dynamics serve as an indicator of vegetation health and ecosystem stability. However, the vegetation dynamics and its responses to climatic change and human activities remain unclear in southwestern China. The normalized difference vegetation index (NDVI) is widely used as a proxy of vegetation production. Here, a breakpoint method was used to better understand the vegetation trend dynamics based on the third generation Global Inventory Monitoring and Modeling System (GIMMS3g) NDVI in southwestern China. Meanwhile, a partial correlation analysis and residual trend (RESTREND) analysis were employed to detect the climatic and anthropogenic drivers behind vegetation dynamics. We found that the trend showed high heterogeneity in space. The annual mean NDVI generally increased at a rate of 0.0011 year−1 from 1982 to 2015, but much of the study area showed an opposite trend before and after the breakpoint. In the western part, the vegetation degraded with a reversal of trend from increase to decrease, where the vegetation types were mainly evergreen needle-leaved and grassland. In contrast, the vegetation increased significantly in the eastern part, showing greening trend regardless of browning or greening trend before the breakpoint. Temperature had a positive correlation with vegetation in the eastern part of the study area, while also had some negative correlations with vegetation in western mountainous areas where surface soils are prone to droughts. Solar radiation had a positive correlation with vegetation in the western part of the study area. Overall, temperature was the dominant climatic factor, and intensified human activities of afforestation and agriculture activities leaded to the strong greening trend. Our findings improved the understanding of long-term changes in vegetation and the roles of climate and anthropogenic activities over southwestern China.Wei YanHesong WangChao JiangShaofei JinJinlong AiOsbert Jianxin SunElsevierarticleNDVIVegetation dynamicsClimateHuman activitiesBreakpoint analysisEcologyQH540-549.5ENEcological Indicators, Vol 130, Iss , Pp 108074- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	NDVI Vegetation dynamics Climate Human activities Breakpoint analysis Ecology QH540-549.5
spellingShingle	NDVI Vegetation dynamics Climate Human activities Breakpoint analysis Ecology QH540-549.5 Wei Yan Hesong Wang Chao Jiang Shaofei Jin Jinlong Ai Osbert Jianxin Sun Satellite view of vegetation dynamics and drivers over southwestern China
description	Vegetation is a key component of the terrestrial ecosystems, its dynamics serve as an indicator of vegetation health and ecosystem stability. However, the vegetation dynamics and its responses to climatic change and human activities remain unclear in southwestern China. The normalized difference vegetation index (NDVI) is widely used as a proxy of vegetation production. Here, a breakpoint method was used to better understand the vegetation trend dynamics based on the third generation Global Inventory Monitoring and Modeling System (GIMMS3g) NDVI in southwestern China. Meanwhile, a partial correlation analysis and residual trend (RESTREND) analysis were employed to detect the climatic and anthropogenic drivers behind vegetation dynamics. We found that the trend showed high heterogeneity in space. The annual mean NDVI generally increased at a rate of 0.0011 year−1 from 1982 to 2015, but much of the study area showed an opposite trend before and after the breakpoint. In the western part, the vegetation degraded with a reversal of trend from increase to decrease, where the vegetation types were mainly evergreen needle-leaved and grassland. In contrast, the vegetation increased significantly in the eastern part, showing greening trend regardless of browning or greening trend before the breakpoint. Temperature had a positive correlation with vegetation in the eastern part of the study area, while also had some negative correlations with vegetation in western mountainous areas where surface soils are prone to droughts. Solar radiation had a positive correlation with vegetation in the western part of the study area. Overall, temperature was the dominant climatic factor, and intensified human activities of afforestation and agriculture activities leaded to the strong greening trend. Our findings improved the understanding of long-term changes in vegetation and the roles of climate and anthropogenic activities over southwestern China.
format	article
author	Wei Yan Hesong Wang Chao Jiang Shaofei Jin Jinlong Ai Osbert Jianxin Sun
author_facet	Wei Yan Hesong Wang Chao Jiang Shaofei Jin Jinlong Ai Osbert Jianxin Sun
author_sort	Wei Yan
title	Satellite view of vegetation dynamics and drivers over southwestern China
title_short	Satellite view of vegetation dynamics and drivers over southwestern China
title_full	Satellite view of vegetation dynamics and drivers over southwestern China
title_fullStr	Satellite view of vegetation dynamics and drivers over southwestern China
title_full_unstemmed	Satellite view of vegetation dynamics and drivers over southwestern China
title_sort	satellite view of vegetation dynamics and drivers over southwestern china
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/d655e89a24df4301990489700bf67c3a
work_keys_str_mv	AT weiyan satelliteviewofvegetationdynamicsanddriversoversouthwesternchina AT hesongwang satelliteviewofvegetationdynamicsanddriversoversouthwesternchina AT chaojiang satelliteviewofvegetationdynamicsanddriversoversouthwesternchina AT shaofeijin satelliteviewofvegetationdynamicsanddriversoversouthwesternchina AT jinlongai satelliteviewofvegetationdynamicsanddriversoversouthwesternchina AT osbertjianxinsun satelliteviewofvegetationdynamicsanddriversoversouthwesternchina
_version_	1718405630262247424

Satellite view of vegetation dynamics and drivers over southwestern China

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