Comprehensive drought detection, spatiotemporal variations, and attribution across different agricultural climate zones in Eastern China using a copula-based drought index

中国 降水 环境科学 高原(数学) 农业 气候学 自然地理学 气候变化 索引(排版) 地理 多元统计 气候模式 全球变暖 趋势分析 土壤水分 含水量 水资源管理 空间生态学 气候模式 长江 共同空间格局 全球气候 空间变异性 环境资源管理 地中海气候 空间分布
作者
Y. Ma,Xuan Yu,Mao-Fen Li,Jin Huang,Hailiang Li,Tianze Zhong
出处
期刊:Agricultural Water Management [Elsevier BV]
卷期号:321: 109902-109902 被引量:1
标识
DOI:10.1016/j.agwat.2025.109902
摘要

The Agricultural Comprehensive Areas in Eastern China (ACAEC) are increasingly exposed to severe and frequent droughts under climate change and rising extremes, posing significant threats to agricultural production. However, there is a lack of comprehensive, large-scale drought assessments in the ACAEC, and the spatiotemporal evolution patterns and driving mechanisms remain unclear. This study proposes a novel framework that develops a Copula-based Multivariate Standardized Drought Index (MSDI) for 2001–2020, constructed from the Standardized Precipitation Index (SPI) and Standardized Soil Moisture Index (SSI) using precipitation data (station-scale, National Meteorological Information Center) and root-zone soil moisture (1 km, National Tibetan Plateau Data Center). Based on this index, we combined the Mann-Kendall and Sen’s slope tests, which quantify temporal trends, with a Center-of-Gravity model that traces spatial migration, thereby providing a complementary assessment of drought evolution across Northeastern China (NEC), Huang-Huai-Hai (HHH), the Middle and Lower Reaches of the Yangtze River (MLRYR), and Southern China (SC). Additionally, we employed XGBoost and SHAP to quantify the contributions of various drivers to MSDI in different climatic zones. Our findings reveal a general worsening of drought conditions across ACAEC, characterized by a southward shift and increasing frequency, intensity, and severity of short-term events. While NEC shows slight improvement, drought severity in other regions has intensified beyond the regional average. Attribution analysis highlights SOL and DTR as dominant drivers in NEC and HHH (35.5 % and 39.1 %, respectively), whereas RH, NDVI, and PET exert greater influence in MLRYR and SC (38.6 % and 50.0 %, respectively). Based on these mechanisms, we proposed region-specific drought mitigation strategies to enhance sustainable agriculture, food security, and disaster resilience in China.
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