基于叶绿素荧光遥感的中国西南耕地干旱响应研究  

Drought response of cultivated land in southwest China based on chlorophyll fluorescence remote sensing

作　　者：李丹[1] Li Dan(School of Water Resources and Hydropower,Sichuan University,Chengdu610041,Sichuan,China)

机构地区：[1]四川大学水利水电学院,四川成都610041

出　　处：《吉林水利》2024年第10期60-66,78,共8页Jilin Water Resources

摘　　要：在全球变暖的背景下,干旱对农业生产造成了严重影响,研究农作物产量对干旱的响应对维护粮食安全至关重要。中国西南地区地貌复杂,受降水、水汽水平和垂直输送等因素影响,干旱频发。采用太阳诱导叶绿素荧光(SIF)卫星遥感数据和自校准的帕尔默干旱严重程度指数(sc_PDSI)对2001~2022年中国西南耕地区域的干旱进行了识别,并分析了粮食产量对干旱的响应,结果显示:中国西南耕地在2003年、2006年、2007年及2009~2014年间遭受了干旱,其中2011年8月和9月干旱最为严重,sc_PDSI值分别为-2.61和-2.52;2001~2022年中国西南作物GOSIF呈显著增加趋势(+0.0026 W/m2μm·sr·yr,p<0.05);粮食产量与GOSIF、scPDSI均显著相关,但GOSIF的相关系数高于sc_PDSI,说明GOSIF能更准确地反映作物产量动态。本研究成果对于区域干旱的空间特征、演化趋势以及因干旱产生的粮食产量损失估计具有重要参考价值。In the context of global warming,drought has a serious impact on agricultural production,and studying the response of crop yields to drought is critical to maintaining food security.The landform of southwest China is complicated.Affected by the horizontal and vertical transport of precipitation and water vapor,drought occurs frequently in southwest China.In this study,solar induced chlorophyll fluorescence(SIF)satellite remote sensing data and self-calibrated Palmer Drought Severity Index(sc_PDSI)were used to identify the drought in southwest China during 2001~2022,and the response of grain yield to drought was analyzed.The results showed that:The cultivated land in southwest China suffered from drought in 2003,2006,2007 and 2009~2014,and the drought was the most severe in August and September 2011,with sc_PDSI values of-2.61 and-2.52,respectively;Crop GOSIF in southwest China showed a significant increase trend from 2001 to 2022(+0.0026 W/m2μm·sr·yr,P<0.05);Grain yield was significantly correlated with both GOSIF and scPDSI,but the correlation coefficient with GOSIF was higher than that with sc_PDSI,indicating that GOSIF could reflect crop yield dynamics more accurately.The results of this study have important reference value for the spatial characteristics and evolution trend of regional drought and the estimation of grain yield loss due to drought.

关 键 词：干旱识别 干旱趋势 粮食产量 

分 类 号：S165.25[农业科学—农业气象学] S165.29[农业科学—农业基础科学]