中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A novel copula-based index for agricultural drought monitoring: integrating vegetation response and meteorological drought dynamics in the middle-lower Yangtze River Basin

文献类型:期刊论文

作者Lan, Xinyi1; Luo, Yi1; Leng, Guoyong2; Cao, Junjun1
刊名ECOLOGICAL INDICATORS
出版日期2025-09-01
卷号178页码:114107
关键词Agricultural drought index Middle and lower reaches of the yangtze river Vegetation optical depth Sun-induced chlorophyll fluorescence Copula
ISSN号1470-160X
DOI10.1016/j.ecolind.2025.114107
产权排序2
文献子类Article
英文摘要Under climate change, the frequency, duration and extent of droughts have been increasing over the past few decades, continuing to pose a growing threat to the ecological health, food security and social stability. No uniform and feasible agricultural drought monitoring index appeared, which can accurately capture the lag and spatial-temporal differences of agricultural drought, while integrating the impacts of drought stress on crop growth. In this study, we investigated the response of remote sensing vegetation indices to meteorological droughts, and constructed standardized comprehensive agricultural drought indices (CADIV, CADIS, and CADI3) through Copula-based multivariate modeling. Run theory, combined with historical drought records, was applied to analyze the temporal and spatial distribution of agricultural droughts in the middle and lower Yangtze River Basin from 2000 to 2021. The findings showed that: (1) Remote sensing vegetation indices show similar temporal patterns and strong correlations with meteorological drought, effectively capturing vegetation anomalies under drought stress. (2) The CADI can effectively capture both meteorological and agricultural droughts, as well as the lagged and cumulative responses of vegetation. Among them, CADIS successfully identified six major drought events, with a consistency rate of 76.34% with agricultural droughts, an omission alarm rate of 2.56%, and a false alarm rate of 0, demonstrating the highest stability in applicability assessments. (3) From 2000 to 2021, drought conditions exhibited a gradual alleviation trend, but anomalous extreme drought events occurred intermittently, with seasonal droughts frequently observed in autumn and winter. The frequency of mild and moderate droughts ranged from 26.76% to 34.89% and 17.99% to 32.60%, respectively. Our results are expected to deliver the information of transition from meteorological to agricultural drought, providing valuable insights for monitoring and more accurate agricultural yield prediction.
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WOS关键词INDUCED CHLOROPHYLL FLUORESCENCE ; MECHANISMS ; IMPACTS ; LAND
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:001564244700001
出版者ELSEVIER
源URL[http://ir.igsnrr.ac.cn/handle/311030/216034]  
专题陆地水循环及地表过程院重点实验室_外文论文
通讯作者Cao, Junjun
作者单位1.Cent China Normal Univ, Coll Urban & Environm Sci, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China;
2.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Lan, Xinyi,Luo, Yi,Leng, Guoyong,et al. A novel copula-based index for agricultural drought monitoring: integrating vegetation response and meteorological drought dynamics in the middle-lower Yangtze River Basin[J]. ECOLOGICAL INDICATORS,2025,178:114107.
APA Lan, Xinyi,Luo, Yi,Leng, Guoyong,&Cao, Junjun.(2025).A novel copula-based index for agricultural drought monitoring: integrating vegetation response and meteorological drought dynamics in the middle-lower Yangtze River Basin.ECOLOGICAL INDICATORS,178,114107.
MLA Lan, Xinyi,et al."A novel copula-based index for agricultural drought monitoring: integrating vegetation response and meteorological drought dynamics in the middle-lower Yangtze River Basin".ECOLOGICAL INDICATORS 178(2025):114107.

入库方式: OAI收割

来源:地理科学与资源研究所

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