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

doi:10.1016/j.ecolind.2021.107604

	Identification of impact factors for differentiated patterns of NDVI change in the headwater source region of Brahmaputra and Indus, Southwestern Tibetan Plateau
	Liu, Qionghuan 4,5; Liu, Linshan 4; Zhang, Yili 4,5,6,7; Wang, Zhaofeng 4,5; Wu, Jianshuang 1; Li, Lanhui 8; Li, Shicheng 2,3; Paudel, Basanta 4,6
刊名	ECOLOGICAL INDICATORS
	2021-06-01
卷号	125 页码:11
关键词	Vegetation change Random forest Climate change Human activities Asian water tower
ISSN号	1470-160X
DOI	10.1016/j.ecolind.2021.107604
通讯作者	Zhang, Yili(zhangyl@igsnrr.ac.cn)
英文摘要	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.
资助项目	Second Tibetan Plateau Scientific Expedition and Research[2019QZKK0603] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20040201] ; National Natural Science Foundation of China[41761144081]
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000637800000004
资助机构	Second Tibetan Plateau Scientific Expedition and Research ; Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/161744]
专题	中国科学院地理科学与资源研究所
通讯作者	Zhang, Yili
作者单位	1.Chinese Acad Agr Sci, Inst Environm & Sustainable Dev Agr, Beijing 100081, Peoples R China 2.Shandong Univ Sci & Technol, Coll Earth Sci & Engn, Shandong Prov Key Lab Deposit Mineralizat & Sedim, Qingdao 266590, Peoples R China 3.China Univ Geosci, Sch Publ Adm, Dept Land Resource Management, Wuhan 430074, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 6.CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China 7.Chinese Acad Sci Tribhuvan Univ, Kathmandu Ctr Res & Educ, Kathmandu, Nepal 8.Xiamen Univ Technol, Coll Comp & Informat Engn, Xiamen 361024, Fujian, Peoples R China
推荐引用方式 GB/T 7714	Liu, Qionghuan,Liu, Linshan,Zhang, Yili,et al. Identification of impact factors for differentiated patterns of NDVI change in the headwater source region of Brahmaputra and Indus, Southwestern Tibetan Plateau[J]. ECOLOGICAL INDICATORS,2021,125:11.
APA	Liu, Qionghuan.,Liu, Linshan.,Zhang, Yili.,Wang, Zhaofeng.,Wu, Jianshuang.,...&Paudel, Basanta.(2021).Identification of impact factors for differentiated patterns of NDVI change in the headwater source region of Brahmaputra and Indus, Southwestern Tibetan Plateau.ECOLOGICAL INDICATORS,125,11.
MLA	Liu, Qionghuan,et al."Identification of impact factors for differentiated patterns of NDVI change in the headwater source region of Brahmaputra and Indus, Southwestern Tibetan Plateau".ECOLOGICAL INDICATORS 125(2021):11.