Increased association between climate change and vegetation index variation promotes the coupling of dominant factors and vegetation growth

doi:10.1016/j.scitotenv.2020.144669

	Increased association between climate change and vegetation index variation promotes the coupling of dominant factors and vegetation growth
	Zhao, Wei 1; Yu, Xiubo 1,2; Jiao, Cuicui 3; Xu, Chengdong 1,2; Liu, Yu 1,2; Wu, Genan 1,2,4
刊名	SCIENCE OF THE TOTAL ENVIRONMENT
	2021-05-01
卷号	767 页码:9
关键词	NDVI interannual variability Land-surface cover breakpoint Quantified association Explanatory power Dominant climatic factors Northwest China
ISSN号	0048-9697
DOI	10.1016/j.scitotenv.2020.144669
通讯作者	Yu, Xiubo(yuxb@igsnrr.ac.cn)
英文摘要	Vegetation productivity dynamics are dosely related to climate change, and water availability determines vegetation growth in water-limited ecosystems. Nevertheless, how changes in the interactions between climatic factors and vegetation activity variation regulate the relationship between their trends remains undear. The Normalized Difference Vegetation Index (NDVI) is an effective proxy of vegetation growth. First, we investigated the NDVI trends, and the results revealed a vegetation activity with weaker greening and greater spatial heterogeneity after an obvious land-cover breakpoint in 1999 compared with that before 1999 in northwest China. Notably, the Loess Plateau greatly led the greenness trends, but the Tibet Plateau showed mean browning after 1999, which implied that the coupling of climate change and vegetation trends varied with spatio-temporal changes. Subsequently, using the Geographical Detector Method (GDM), we quantified and compared the association between climate change and the interannual variability of NDVI in the two stages. Vegetation productivity variation is more closely related to changes in climatic factors after 1999 compared with that before 1999. Precipitation (PPT) and vapor pressure deficit (VPD) are the primary constraints to vegetation growth in both stages. Patterns in NDVI trend increases are consistent with those of increased PPT and decreased VPD and vice versa after 1999. However, the same patterns were not observed before 1999 because of the weak association between climate change and NDVI variation. This implicated a great significance of the association between climate change and changes in vegetation activity for the prediction of potential carbon sequestration due to the shift of dominant factors and their trends under future climate change. (C) 2020 Elsevier B.V. All rights reserved.
资助项目	International Partnership Program of the Chinese Academy of Sciences[121311KYSB20170004] ; China Postdoctoral Science Foundation[2020M670439]
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000617681100054
资助机构	International Partnership Program of the Chinese Academy of Sciences ; China Postdoctoral Science Foundation
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/160403]
专题	中国科学院地理科学与资源研究所
通讯作者	Yu, Xiubo
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Synth Res Ctr Chinese Ecosyst Res Network, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China 3.Sichuan Univ Sci & Engn, Coll Econ, Yibin 644000, Peoples R China 4.Lawrence Berkeley Natl Lab, Berkeley, CA USA
推荐引用方式 GB/T 7714	Zhao, Wei,Yu, Xiubo,Jiao, Cuicui,et al. Increased association between climate change and vegetation index variation promotes the coupling of dominant factors and vegetation growth[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2021,767:9.
APA	Zhao, Wei,Yu, Xiubo,Jiao, Cuicui,Xu, Chengdong,Liu, Yu,&Wu, Genan.(2021).Increased association between climate change and vegetation index variation promotes the coupling of dominant factors and vegetation growth.SCIENCE OF THE TOTAL ENVIRONMENT,767,9.
MLA	Zhao, Wei,et al."Increased association between climate change and vegetation index variation promotes the coupling of dominant factors and vegetation growth".SCIENCE OF THE TOTAL ENVIRONMENT 767(2021):9.