黄河流域农作物受灾时空演变特征及致灾因子OA
Spatiotemporal evolution characteristics and disaster-inducing factors of crop disasters in the Yellow River Basin
黄河流域作为我国生态脆弱性集中凸显的区域与农业灾害高发地带,农作物受灾问题对区域粮食安全及经济发展具有重要影响.基于2003-2023年黄河流域9省(区)的农作物受灾率数据,综合运用重心迁移-标准差椭圆、核密度估计、Dagum基尼系数以及时空地理加权回归(GTWR)模型来探究黄河流域农作物受灾的时空演变特征及致灾因子.结果表明:(1)黄河流域农作物受灾率整体呈下降趋势.(2)农作物受灾率重心始终位于上游和中游地区,反映出该区域是农作物受灾的主要承载区;核密度估计进一步揭示了上游地区内部差异加剧,中游地区内部差异较大,下游地区呈两极分化现象.Dagum基尼系数则表明农作物受灾率的总体差异较大,地区间差异是农作物受灾率总体差异的主要来源.(3)黄河流域农作物受灾率的主要致灾因子包括年均降水量、森林覆盖率和坡度,其中坡度主要呈正向影响,年均降水量、森林覆盖率均呈负向影响.研究结果可为黄河流域精准制定防灾减灾策略、优化农业布局、保障粮食安全提供科学依据,助力黄河流域实现生态保护与高质量发展目标.
The Yellow River Basin,a region in China acutely vulnerable to ecological damage and prone to agri-cultural disasters,faces significant challenges from crop failures that threaten both food security and economic de-velopment.This study analyzes crop disaster rate data from nine provinces(autonomous regions)in the Yellow River Basin from 2003 to 2023.The study utilizes a comprehensive methodology,including a center-of-gravity migration-standard deviational ellipse,kernel density estimation,the Dagum Gini coefficient,and the geographi-cally and temporally weighted regression model to investigate the spatiotemporal evolution and underlying causes of these disasters.The results revealed the following:(1)The Yellow River Basin experienced an overall decline in its crop disaster rate.(2)The crop disaster rate consistently remained highest in the upper and middle reaches,indicating that these areas bear the brunt of crop disasters.Kernel density estimation further revealed in-tensifying disparities within the upper reaches,significant internal disparities in the middle reaches,and a polar-ization phenomenon in the lower reaches.The Dagum Gini coefficient indicated significant overall disparities in the crop disaster rate,primarily driven by differences between regions.(3)The main factors influencing the crop disaster rate in the Yellow River Basin are annual average precipitation,forest coverage,and slope.Slope general-ly has a positive effect,whereas annual average precipitation and forest coverage have negative effects.These findings offer a scientific basis for developing precise disaster prevention and mitigation strategies,optimizing ag-ricultural planning,and ensuring food security in the Yellow River Basin.This will contribute to achieving ecolog-ical protection and high-quality development goals in the region.
李晓鹏;贾富贵;雷双;李康
兰州财经大学农林经济管理学院,甘肃 兰州 730020兰州财经大学农林经济管理学院,甘肃 兰州 730020兰州财经大学农林经济管理学院,甘肃 兰州 730020兰州财经大学农林经济管理学院,甘肃 兰州 730020
农作物受灾率时空演变致灾因子GTWR模型黄河流域
crop disaster ratespatiotemporal evolutiondisaster-inducing factorsGTWR modelYellow River Basin
《干旱区地理》 2026 (9)
1815-1825,11
甘肃省高校青年博士支持项目(2025QB-055)兰州财经大学2025年数字化赋能交叉融合本科课程建设兰州财经大学2025年度高等教育研究项目(LJY202513)兰州财经大学科研专项经费资助
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