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Copula-Based Abrupt Variations Detection in the Relationship of Seasonal Vegetation-Climate in the Jing River Basin, China
Zhao, Jing1; Huang, Shengzhi1; Huang, Qiang1; Wang, Hao2; Leng, Guoyong3,4; Peng, Jian5,6,7; Dong, Haixia1
2019-07-01
Source PublicationREMOTE SENSING
ISSN2072-4292
Volume11Issue:13Pages:18
Corresponding AuthorHuang, Shengzhi(huangshengzhi@xaut.edu.cn)
AbstractUnderstanding the changing relationships between vegetation coverage and precipitation/temperature (P/T) and then exploring their potential drivers are highly necessary for ecosystem management under the backdrop of a changing environment. The Jing River Basin (JRB), a typical eco-environmentally vulnerable region of the Loess Plateau, was chosen to identify abrupt variations of the relationships between seasonal Normalized Difference Vegetation Index (NDVI) and P/T through a copula-based method. By considering the climatic/large-scale atmospheric circulation patterns and human activities, the potential causes of the non-stationarity of the relationship between NDVI and P/T were revealed. Results indicated that (1) the copula-based framework introduced in this study is more reasonable and reliable than the traditional double-mass curves method in detecting change points of vegetation and climate relationships; (2) generally, no significant change points were identified during 1982-2010 at the 95% confidence level, implying the overall stationary relationship still exists, while the relationships between spring NDVI and P/T, autumn NDVI and P have slightly changed; (3) teleconnection factors (including Arctic Oscillation (AO), Pacific Decadal Oscillation (PDO), Nino 3.4, and sunspots) have a more significant influence on the relationship between seasonal NDVI and P/T than local climatic factors (including potential evapotranspiration and soil moisture); (4) negative human activities (expansion of farmland and urban areas) and positive human activities (Grain For Green program) were also potential factors affecting the relationship between NDVI and P/T. This study provides a new and reliable insight into detecting the non-stationarity of the relationship between NDVI and P/T, which will be beneficial for further revealing the connection between the atmosphere and ecosystems.
Keywordcopula-based method NDVI and precipitation temperature change points teleconnection factors double cumulative curve method
DOI10.3390/rs11131628
WOS KeywordSOIL-MOISTURE ; LOESS PLATEAU ; INTERANNUAL VARIABILITY ; SPRINGTIME VEGETATION ; ARCTIC-OSCILLATION ; ECOSYSTEM SERVICES ; TRADE-OFFS ; LAND-USE ; NDVI ; PRECIPITATION
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2017YFC0405900] ; National Natural Science Foundation of China[51709221] ; Planning Project of Science and Technology ofWater Resources of Shaanxi[2015slkj-27] ; Planning Project of Science and Technology ofWater Resources of Shaanxi[2017slkj-19] ; China Scholarship Council[201508610099] ; Belt and Road Special Foundation of the State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering[2018490711] ; Open Research Fund of State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin (China Institute of Water Resources and Hydropower Research)[IWHR-SKL-KF201803] ; Open Research Fund of State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin (Doctorate Innovation Funding of Xi'an University of Technology)[310-252071712]
Funding OrganizationNational Key Research and Development Program of China ; National Natural Science Foundation of China ; Planning Project of Science and Technology ofWater Resources of Shaanxi ; China Scholarship Council ; Belt and Road Special Foundation of the State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering ; Open Research Fund of State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin (China Institute of Water Resources and Hydropower Research) ; Open Research Fund of State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin (Doctorate Innovation Funding of Xi'an University of Technology)
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000477049000118
PublisherMDPI
Citation statistics
Cited Times:14[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/68765
Collection中国科学院地理科学与资源研究所
Corresponding AuthorHuang, Shengzhi
Affiliation1.Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg China, Xian 710048, Shaanxi, Peoples R China
2.China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
3.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
4.Univ Oxford, Environm Change Inst, Oxford OX1 3QY, England
5.Univ Oxford, Sch Geog & Environm, Oxford OX1 3QY, England
6.Univ Munich LMU, Dept Geog, D-80333 Munich, Germany
7.Max Planck Inst Meteorol, D-20146 Hamburg, Germany
Recommended Citation
GB/T 7714
Zhao, Jing,Huang, Shengzhi,Huang, Qiang,et al. Copula-Based Abrupt Variations Detection in the Relationship of Seasonal Vegetation-Climate in the Jing River Basin, China[J]. REMOTE SENSING,2019,11(13):18.
APA Zhao, Jing.,Huang, Shengzhi.,Huang, Qiang.,Wang, Hao.,Leng, Guoyong.,...&Dong, Haixia.(2019).Copula-Based Abrupt Variations Detection in the Relationship of Seasonal Vegetation-Climate in the Jing River Basin, China.REMOTE SENSING,11(13),18.
MLA Zhao, Jing,et al."Copula-Based Abrupt Variations Detection in the Relationship of Seasonal Vegetation-Climate in the Jing River Basin, China".REMOTE SENSING 11.13(2019):18.
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