中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Dynamic pattern-effect relationships between precipitation and vegetation in the semi-arid and semi-humid area of China

文献类型:期刊论文

作者Bai, Xuyang2,3; Fan, Zemeng1,2,3; Yue, Tianxiang1,2,3
刊名CATENA
出版日期2023-11-01
卷号232页码:10
关键词NDVI Precipitation Ecological transition zone Dynamic pattern-effect relationships
ISSN号0341-8162
DOI10.1016/j.catena.2023.107425
通讯作者Fan, Zemeng(fanzm@lreis.ac.cn)
英文摘要Explicating the relationship between vegetation and precipitation changes with different spatial dimensions is critical for clearly identifying the interaction mechanism between climate change and ecosystem health in the semi-arid and semi-humid (SASH) area, China. Due to investigating the dynamic pattern-effect relationships between precipitation and vegetation in the directions of longitude and latitude in the SASH area of China, the division method of SASH area, the identifying method of spatial distribution change of NDVI and precipitation, and the sensitivity index of NDVI to precipitation were developed in this study, based on the NDVI data and monthly precipitation data from 1991 to 2020. The research results showed that the NDVI was significantly related with precipitation in the whole SASH area. The relationship between NDVI and precipitation in the semi-arid area was higher than that in the semi-humid area between 1991 and 2020. The response of NDVI to pre-cipitation (R-(NDVI,R-Pre) = 0.90, P < 0.01) in the longitude direction was more than that (R-(NDVI,R-Pre) = 0.55, P < 0.01)in the latitude direction. The sensitivity of 79% NDVI to precipitation was increased with increasing latitude within the same longitude range, and the sensitivity of 97% NDVI to precipitation was decreased with increasing longitude within the same latitude range. The NDVI was more sensitive to precipitation in the semi-arid area than that in the semi-humid area. In summary, the responses of NDVI to precipitation showed significant heterogeneity between 1991and 2020 in the whole SASH area. Thus, the planning of ecological protection should give more consideration to the precipitation condition in the SASH area in the future.
WOS关键词WATER-USE EFFICIENCY ; GLOBAL PATTERNS ; CLIMATE-CHANGE ; RAINFALL ; NDVI ; TEMPERATURE ; INDEX
资助项目National Natural Science Foundation of China[41971358] ; National Natural Science Foundation of China[42293271] ; National Natural Science Foundation of China[41930647] ; National Natural Science Foundation of China[41931293] ; Innovation Project of State Key Laboratory of Re-sources and Environmental Information System[KPI005] ; Loess Plateau SubCenter, National Earth System Science Data Center, National Science & Technology Infrastructure of China
WOS研究方向Geology ; Agriculture ; Water Resources
语种英语
WOS记录号WOS:001059900000001
出版者ELSEVIER
资助机构National Natural Science Foundation of China ; Innovation Project of State Key Laboratory of Re-sources and Environmental Information System ; Loess Plateau SubCenter, National Earth System Science Data Center, National Science & Technology Infrastructure of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/196879]  
专题中国科学院地理科学与资源研究所
通讯作者Fan, Zemeng
作者单位1.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Bai, Xuyang,Fan, Zemeng,Yue, Tianxiang. Dynamic pattern-effect relationships between precipitation and vegetation in the semi-arid and semi-humid area of China[J]. CATENA,2023,232:10.
APA Bai, Xuyang,Fan, Zemeng,&Yue, Tianxiang.(2023).Dynamic pattern-effect relationships between precipitation and vegetation in the semi-arid and semi-humid area of China.CATENA,232,10.
MLA Bai, Xuyang,et al."Dynamic pattern-effect relationships between precipitation and vegetation in the semi-arid and semi-humid area of China".CATENA 232(2023):10.

入库方式: OAI收割

来源:地理科学与资源研究所

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