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气象-土壤复合干旱胁迫下中国冬小麦主产区生产力响应及损失概率评估

Assessment of productivity response and yield loss probability of winter wheat under compound meteorological-soil drought stress in China's major producing regions

  • 摘要: 气象-土壤复合干旱是制约作物生长和产量最为重要的干旱组合,目前对复合干旱胁迫下作物生产力的响应特征及损失风险还缺乏系统认识。该研究以中国冬小麦主产区为研究区,利用标准化降水蒸散指数(standardized precipitation evapotranspiration index,SPEI)和标准化土壤湿度指数(standardized soil moisture index,SSMI)识别气象、土壤及复合干旱,使用总初级生产力(gross primary production,GPP)数据表征冬小麦生产力,探究复合干旱胁迫下冬小麦生产力响应特征,运用Vine Copula模型量化不同干旱情景下冬小麦生产力损失概率。结果表明:1)气象干旱显示2000—2020年冬小麦主产区呈减轻趋势,但土壤干旱在2006年后频率增加,两者在发生时间和空间格局上并不完全同步。复合干旱高频区主要集中在黄淮海区,典型复合干旱年份为2011年、2014年和2019年。2)相比气象干旱,冬小麦GPP对土壤干旱的响应更为敏感,2011年典型复合干旱事件中,GPP降幅较大的区域主要集中于黄淮平原南部及江淮地区,与此次复合事件的重度及极端干旱区域高度吻合。3)随着干旱等级由轻度向极端递增,单一和复合干旱情景下冬小麦GPP损失概率均呈现上升态势。相比单一干旱,复合干旱胁迫下冬小麦生产力下降概率明显增加,中度和重度复合干旱的损失概率较单一干旱类型的增幅达到20%~35%。研究结果可为冬小麦主产区干旱风险评估与防灾策略优化提供科学依据。

     

    Abstract: Compound drought, characterized by the concurrent occurrence of atmospheric water deficit and soil moisture shortage, has emerged as a critical factor constraining agricultural productivity and crop yield under increasing climate variability. Currently, a systematic understanding of how crop productivity responds to such multifaceted stress, as well as the associated quantitative loss risks, remains highly limited. To address this knowledge gap, this study focuses on the primary winter wheat production regions in China to investigate the response characteristics of crop productivity under compound drought conditions. To systematically detect and categorize drought events, the Standardized Precipitation Evapotranspiration Index (SPEI) and the Standardized Soil Moisture Index (SSMI) were utilized to identify meteorological drought and soil drought, respectively. Gross Primary Productivity (GPP) derived from high-resolution remote sensing data was employed as a robust indicator to represent winter wheat productivity at the regional scale. Furthermore, a Vine Copula model, recognized for its advantage in modeling complex multivariate dependencies, was applied to quantify the conditional probability distribution of winter wheat GPP loss under various single and compound drought scenarios.The systematic analysis yielded several key findings: 1) From a temporal perspective, meteorological drought in the major winter wheat production regions has generally exhibited an alleviating trend from 2000 to 2020. In contrast, soil drought has shown an increasing occurrence frequency since 2006. The temporal evolution and spatial distribution of these two drought types are not completely synchronized, implying complex underlying eco-hydrological processes beyond mere precipitation deficits. Spatial analysis indicates that high-frequency zones for compound drought are predominantly concentrated in the Huang-Huai-Hai region, with 2011, 2014, and 2019 identified as typical compound drought years. 2) Winter wheat productivity exhibits varying sensitivities to different drought types. Compared to meteorological drought, winter wheat GPP shows a significantly stronger and more sensitive response to soil drought conditions, highlighting the dominant role of soil water availability in regulating crop photosynthetic activity. During the typical compound drought event in 2011, regions experiencing substantial GPP reductions were mainly located in the southern Huang-Huai Plain and the Jiang-Huai region. This spatial distribution aligns closely with areas affected by severe and extreme compound drought during the same period. 3) The probabilistic assessment demonstrates that as drought severity progresses from mild to extreme levels, the probability of winter wheat GPP loss shows a consistent upward trend under both single and compound drought scenarios. Most importantly, compound drought stress significantly elevates the risk of productivity decline compared to single drought events. Specifically, under moderate and severe compound drought conditions, the probability of winter wheat productivity loss increases by 20% to 35% relative to single drought types.In conclusion, this research provides a comprehensive quantitative assessment of winter wheat productivity responses to meteorological-soil compound drought. These findings highlight the amplifying effect of compound drought on agricultural productivity risks, offering a vital scientific foundation for improving drought monitoring, conducting agricultural risk assessments, and optimizing disaster mitigation strategies in major winter wheat production areas.

     

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