Copula-Based Abrupt Variations Detection in the Relationship of Seasonal Vegetation-Climate in the Jing River Basin, China

doi:10.3390/rs11131628

	Copula-Based Abrupt Variations Detection in the Relationship of Seasonal Vegetation-Climate in the Jing River Basin, China
	Zhao, Jing 3; Huang, Shengzhi 3; Huang, Qiang 3; Wang, Hao 4; Leng, Guoyong 5,6; Peng, Jian 1,2,7; Dong, Haixia 3
刊名	REMOTE SENSING
	2019-07-01
卷号	11 期号:13 页码:18
关键词	copula-based method NDVI and precipitation temperature change points teleconnection factors double cumulative curve method
ISSN号	2072-4292
DOI	10.3390/rs11131628
通讯作者	Huang, Shengzhi(huangshengzhi@xaut.edu.cn)
英文摘要	Understanding 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.
资助项目	National 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]
WOS关键词	SOIL-MOISTURE ; LOESS PLATEAU ; INTERANNUAL VARIABILITY ; SPRINGTIME VEGETATION ; ARCTIC-OSCILLATION ; ECOSYSTEM SERVICES ; TRADE-OFFS ; LAND-USE ; NDVI ; PRECIPITATION
WOS研究方向	Remote Sensing
语种	英语
出版者	MDPI
WOS记录号	WOS:000477049000118
资助机构	National 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)
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/68764]
专题	中国科学院地理科学与资源研究所
通讯作者	Huang, Shengzhi
作者单位	1.Max Planck Inst Meteorol, D-20146 Hamburg, Germany 2.Univ Munich LMU, Dept Geog, D-80333 Munich, Germany 3.Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg China, Xian 710048, Shaanxi, Peoples R China 4.China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China 5.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 6.Univ Oxford, Environm Change Inst, Oxford OX1 3QY, England 7.Univ Oxford, Sch Geog & Environm, Oxford OX1 3QY, England
推荐引用方式 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.