Identification of impact factors for differentiated patterns of NDVI change in the headwater source region of Brahmaputra and Indus, Southwestern Tibetan Plateau

Identifying the driving forces and mechanisms underlying vegetation change is critical to globally adapting to future climate change. However, this topic remains unclear for ecosystems within the Headwater Source Region of Brahmaputra and Indus (HSRBI), southwestern Tibetan Plateau. In this study, v...

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Autores principales:	Qionghuan Liu, Linshan Liu, Yili Zhang, Zhaofeng Wang, Jianshuang Wu, Lanhui Li, Shicheng Li, Basanta Paudel
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Vegetation change Random forest Climate change Human activities Asian water tower Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/55788d8653ef4f569890f2e283a9d177
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spelling	oai:doaj.org-article:55788d8653ef4f569890f2e283a9d1772021-12-01T04:49:14ZIdentification of impact factors for differentiated patterns of NDVI change in the headwater source region of Brahmaputra and Indus, Southwestern Tibetan Plateau1470-160X10.1016/j.ecolind.2021.107604https://doaj.org/article/55788d8653ef4f569890f2e283a9d1772021-06-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21002697https://doaj.org/toc/1470-160XIdentifying the driving forces and mechanisms underlying vegetation change is critical to globally adapting to future climate change. However, this topic remains unclear for ecosystems within the Headwater Source Region of Brahmaputra and Indus (HSRBI), southwestern Tibetan Plateau. In this study, vegetation changes, in terms of the Normalized Difference Vegetation Index (NDVI) from the Moderate Resolution Imaging Spectroradiometer (MODIS), were detected for breakpoints for the period of 2000–2017 by segment regression analysis. The effects of 14 potential environmental variables on vegetation dynamics were estimated and quantified via random forest modelling. Our results showed that monotonic increases (MI) and abrupt increases (AI) in NDVI accounted for 39.87% and 22.55% of vegetation change, respectively. In contrast, monotonic decreases (MD) and abrupt decreases (AD) only accounted for 19.38% and 7.65% of vegetation change, respectively. Our findings also confirmed that climate change was the most crucial driver of vegetation change in the HSRBI, and human disturbance was responsible for abrupt changes in vegetation. The primary MI pattern was affected by distance to the replenishment water source, which contributed to 21.36% of vegetation change. The distance to lakes was an essential factor associated with vegetation greening. AI was mainly affected by the interaction between human disturbance and climate change, which contributed to 27.12% and 26.89% of vegetation changes, respectively. Distance to residential areas was the most significant factor that linked the human disturbance to abrupt vegetation changes. AD and MD were inclined to be affected by the variation in climate variables. Finally, this study will help to identify multidimensional mechanisms of vegetation change and aid ecosystem stability in the headwater zones.Qionghuan LiuLinshan LiuYili ZhangZhaofeng WangJianshuang WuLanhui LiShicheng LiBasanta PaudelElsevierarticleVegetation changeRandom forestClimate changeHuman activitiesAsian water towerEcologyQH540-549.5ENEcological Indicators, Vol 125, Iss , Pp 107604- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Vegetation change Random forest Climate change Human activities Asian water tower Ecology QH540-549.5
spellingShingle	Vegetation change Random forest Climate change Human activities Asian water tower Ecology QH540-549.5 Qionghuan Liu Linshan Liu Yili Zhang Zhaofeng Wang Jianshuang Wu Lanhui Li Shicheng Li Basanta Paudel Identification of impact factors for differentiated patterns of NDVI change in the headwater source region of Brahmaputra and Indus, Southwestern Tibetan Plateau
description	Identifying the driving forces and mechanisms underlying vegetation change is critical to globally adapting to future climate change. However, this topic remains unclear for ecosystems within the Headwater Source Region of Brahmaputra and Indus (HSRBI), southwestern Tibetan Plateau. In this study, vegetation changes, in terms of the Normalized Difference Vegetation Index (NDVI) from the Moderate Resolution Imaging Spectroradiometer (MODIS), were detected for breakpoints for the period of 2000–2017 by segment regression analysis. The effects of 14 potential environmental variables on vegetation dynamics were estimated and quantified via random forest modelling. Our results showed that monotonic increases (MI) and abrupt increases (AI) in NDVI accounted for 39.87% and 22.55% of vegetation change, respectively. In contrast, monotonic decreases (MD) and abrupt decreases (AD) only accounted for 19.38% and 7.65% of vegetation change, respectively. Our findings also confirmed that climate change was the most crucial driver of vegetation change in the HSRBI, and human disturbance was responsible for abrupt changes in vegetation. The primary MI pattern was affected by distance to the replenishment water source, which contributed to 21.36% of vegetation change. The distance to lakes was an essential factor associated with vegetation greening. AI was mainly affected by the interaction between human disturbance and climate change, which contributed to 27.12% and 26.89% of vegetation changes, respectively. Distance to residential areas was the most significant factor that linked the human disturbance to abrupt vegetation changes. AD and MD were inclined to be affected by the variation in climate variables. Finally, this study will help to identify multidimensional mechanisms of vegetation change and aid ecosystem stability in the headwater zones.
format	article
author	Qionghuan Liu Linshan Liu Yili Zhang Zhaofeng Wang Jianshuang Wu Lanhui Li Shicheng Li Basanta Paudel
author_facet	Qionghuan Liu Linshan Liu Yili Zhang Zhaofeng Wang Jianshuang Wu Lanhui Li Shicheng Li Basanta Paudel
author_sort	Qionghuan Liu
title	Identification of impact factors for differentiated patterns of NDVI change in the headwater source region of Brahmaputra and Indus, Southwestern Tibetan Plateau
title_short	Identification of impact factors for differentiated patterns of NDVI change in the headwater source region of Brahmaputra and Indus, Southwestern Tibetan Plateau
title_full	Identification of impact factors for differentiated patterns of NDVI change in the headwater source region of Brahmaputra and Indus, Southwestern Tibetan Plateau
title_fullStr	Identification of impact factors for differentiated patterns of NDVI change in the headwater source region of Brahmaputra and Indus, Southwestern Tibetan Plateau
title_full_unstemmed	Identification of impact factors for differentiated patterns of NDVI change in the headwater source region of Brahmaputra and Indus, Southwestern Tibetan Plateau
title_sort	identification of impact factors for differentiated patterns of ndvi change in the headwater source region of brahmaputra and indus, southwestern tibetan plateau
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/55788d8653ef4f569890f2e283a9d177
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Identification of impact factors for differentiated patterns of NDVI change in the headwater source region of Brahmaputra and Indus, Southwestern Tibetan Plateau

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