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Increased association between climate change and vegetation index variation promotes the coupling of dominant factors and vegetation growth
Zhao, Wei1; Yu, Xiubo1,2; Jiao, Cuicui3; Xu, Chengdong1,2; Liu, Yu1,2; Wu, Genan1,2,4
2021-05-01
Source PublicationSCIENCE OF THE TOTAL ENVIRONMENT
ISSN0048-9697
Volume767Pages:9
Corresponding AuthorYu, Xiubo(yuxb@igsnrr.ac.cn)
AbstractVegetation 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.
KeywordNDVI interannual variability Land-surface cover breakpoint Quantified association Explanatory power Dominant climatic factors Northwest China
DOI10.1016/j.scitotenv.2020.144669
Indexed BySCI
Language英语
Funding ProjectInternational Partnership Program of the Chinese Academy of Sciences[121311KYSB20170004] ; China Postdoctoral Science Foundation[2020M670439]
Funding OrganizationInternational Partnership Program of the Chinese Academy of Sciences ; China Postdoctoral Science Foundation
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences
WOS IDWOS:000617681100054
PublisherELSEVIER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/160404
Collection中国科学院地理科学与资源研究所
Corresponding AuthorYu, Xiubo
Affiliation1.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
Recommended Citation
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.
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