中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Flash Droughts Identification Based on an Improved Framework and Their Contrasting Impacts on Vegetation Over the Loess Plateau, China

文献类型:期刊论文

作者Zheng, Xudong3; Huang, Shengzhi3; Peng, Jian1,4; Leng, Guoyong2; Huang, Qiang3; Fang, Wei3; Guo, Yi3
刊名WATER RESOURCES RESEARCH
出版日期2022-09-01
卷号58期号:9页码:24
关键词flash drought identification framework rate of intensification GPP impact Loess Plateau
ISSN号0043-1397
DOI10.1029/2021WR031464
通讯作者Huang, Shengzhi(huangshengzhi7788@126.com)
英文摘要Flash drought occurs in a short timescale and has more adverse impacts on society and ecosystems than regular drought. Considering flash drought as a special type of regular drought and identifying it by the rate of the first intensification period might ignore posterior intensification periods. To this end, we introduced the combinatorial decomposable flash drought identification framework (CDFDI) to identify flash drought from the perspective of regarding it as the subphase of drought and explore the characteristics and vegetation response of flash drought in the Loess Plateau (LP), China, where is prone to drought and its ecological environment is very fragile. The neffectiveness of the framework is evaluated through the comparison analysis with a preexisting identification method proposed by Li et al. (2020, ). Results indicate that: (a) the CDFDI framework can better capture flash drought events than the Liu's method in terms of time series and spatial patterns, its rationality was further demonstrated by the obvious latitudinal pattern of correlation between flash drought and normalized difference vegetation index (NDVI); (b) the correlation shows an southeast (positive) and northwest (negative) contrasting pattern in the LP; (c) such contrasting pattern was also found in the response time of GPP, which suggests a more rapid impact on vegetation of flash drought in the arid northwestern LP; and (d) flash drought shows an exacerbating trend across the LP under the background of climate warming and mainly concentrated in the southern part. In general, this study provides new insights on flash drought connotations in a changing environment.
WOS关键词PRECIPITATION DEFICIT ; SOIL-MOISTURE ; RIVER-BASIN ; NDVI3G ; ONSET ; MODIS
资助项目National Key R&D Program of China[2021YFC3000203] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA28060100] ; Shaanxi University Science and Technology Association Youth Talent Promotion Project[20190413] ; National Natural Science Foundation of China[52009100] ; China Postdoctoral Science Foundation[2021M692602]
WOS研究方向Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
语种英语
WOS记录号WOS:000860574800001
出版者AMER GEOPHYSICAL UNION
资助机构National Key R&D Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Shaanxi University Science and Technology Association Youth Talent Promotion Project ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation
源URL[http://ir.igsnrr.ac.cn/handle/311030/184969]  
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.Univ Leipzig, Remote Sensing Ctr Earth Syst Res, Leipzig, Germany
2.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
3.Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg China, Xian, Peoples R China
4.UFZ Helmholtz Ctr Environm Res, Dept Remote Sensing, Leipzig, Germany
推荐引用方式
GB/T 7714
Zheng, Xudong,Huang, Shengzhi,Peng, Jian,et al. Flash Droughts Identification Based on an Improved Framework and Their Contrasting Impacts on Vegetation Over the Loess Plateau, China[J]. WATER RESOURCES RESEARCH,2022,58(9):24.
APA Zheng, Xudong.,Huang, Shengzhi.,Peng, Jian.,Leng, Guoyong.,Huang, Qiang.,...&Guo, Yi.(2022).Flash Droughts Identification Based on an Improved Framework and Their Contrasting Impacts on Vegetation Over the Loess Plateau, China.WATER RESOURCES RESEARCH,58(9),24.
MLA Zheng, Xudong,et al."Flash Droughts Identification Based on an Improved Framework and Their Contrasting Impacts on Vegetation Over the Loess Plateau, China".WATER RESOURCES RESEARCH 58.9(2022):24.

入库方式: OAI收割

来源:地理科学与资源研究所

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