Assessing the remotely sensed Drought Severity Index for agricultural drought monitoring and impact analysis in North China
Assessing the remotely sensed Drought Severity Index for agricultural drought monitoring and impact analysis in North China
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DOI：
10.1016/j.ecolind.2015.11.062
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发表时间：
2016-04
影响因子：
6.9
通讯作者：
Jie Zhang;Q. Mu;Jianxi Huang
中科院分区：
文献类型：
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作者：
Jie Zhang;Q. Mu;Jianxi Huang
遥感可以为陆地生态系统提供实时、动态的信息，有利于有效的干旱监测。最近提出的遥感干旱严重程度指数（DSI）综合了植被状况和蒸散量信息，显示出全球范围内干旱监测的巨大潜力。然而，关于区域DSI应用的研究很少，特别是在农业干旱方面。华北地区作为我国最重要的冬小麦产区，近年来干旱频发，对高效农业干旱监测和干旱影响分析提出了很高的要求。本文对MODIS DSI的农业干旱监测能力进行了评价，并评估了华北5省干旱对冬小麦产量的影响。首先，将MODIS DSI与省级降水量和土壤湿度进行比较，检验其表征水分状况的能力。然后专门针对农业干旱监测，针对省级农业干旱严重程度对 MODIS DSI 进行了评估。还利用 8 天 MODIS DSI 数据探讨了主生长季农业干旱对冬小麦产量的影响。总体而言，MODIS DSI 对于表征省级水分状况总体有效，在冬小麦主生长季的能力有所不同，在 4 月拔节和孕穗阶段观察到的关系最好。 MODIS DSI 与省级农业干旱严重程度非常吻合，雨养为主的地区表现优于灌溉为主的地区。干旱对冬小麦主生长季不同阶段的产量影响不同，其中抽穗期和灌浆期影响最为显着，可作为有效农业干旱监测的关键预警期。
Remote sensing can provide real-time and dynamic information for terrestrial ecosystems, facilitating effective drought monitoring. A recently proposed remotely sensed Drought Severity Index (DSI), integrating both vegetation condition and evapotranspiration information, shows considerable potential for drought monitoring at the global scale. However, there has been little research on regional DSI applications, especially concerning agricultural drought. As the most important winter wheat producing region in China, North China has suffered from frequent droughts in recent years, demonstrating high demand for efficient agricultural drought monitoring and drought impact analyses. In this paper, the capability of the MODIS DSI for agricultural drought monitoring was evaluated and the drought impacts on winter wheat yield were assessed for 5 provinces in North China. First, the MODIS DSI was compared with precipitation and soil moisture at the province level to examine its capability for characterizing moisture status. Then specifically for agricultural drought monitoring, the MODIS DSI was evaluated against agricultural drought severity at the province level. The impacts of agricultural drought on winter wheat yield during the main growing season were also explored using 8-day MODIS DSI data. Overall, the MODIS DSI is generally effective for characterizing moisture conditions at the province level, with varying ability during the main winter wheat growing season and the best relationship observed in April during the jointing and booting stages. The MODIS DSI agrees well with agricultural drought severity at the province level, with better performance in rainfed-dominated than irrigation-dominated regions. Drought shows varying impacts on winter wheat yield at different stages of the main growing season, with the most significant impacts found during the heading and grain-filling stages, which could be used as the key alert period for effective agricultural drought monitoring.