文章基本信息

标题：Mapping the Global-Scale Maize Drought Risk Under Climate Change Based on the GEPIC-Vulnerability-Risk Model
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作者：Yuanyuan Yin ; Yuan Gao ; Degen Lin 等
期刊名称：International Journal of Disaster Risk Science
印刷版ISSN：2095-0055
电子版ISSN：2192-6395
出版年度：2021
卷号：12
期号：3
页码：428-442
DOI：10.1007/s13753-021-00349-3
语种：English
出版社：Springer
摘要：AbstractDrought is projected to become more frequent and increasingly severe under climate change in many agriculturally important areas. However, few studies have assessed and mapped the future global crop drought risk—defined as the occurrence probability and likelihood of yield losses from drought—at high resolution. With support of the GEPIC-Vulnerability-Risk model, we propose an analytical framework to quantify and map the future global-scale maize drought risk at a 0.5° resolution. In this framework, the model can be calibrated and validated using datasets from in situ observations (for example, yield statistics, losses caused by drought) and the literature. Water stress and drought risk under climate change can then be simulated. To evaluate the applicability of the framework, a global-scale assessment of maize drought risk under 1.5 °C warming was conducted. At 1.5 °C warming, the maize drought risk is projected to be regionally variable (high in the midlatitudes and low in the tropics and subtropics), with only a minor negative (− 0.93%) impact on global maize yield. The results are consistent with previous studies of drought impacts on maize yield of major agricultural countries around the world. Therefore, the framework can act as a practical tool for global-scale, future-oriented crop drought risk assessment, and the results provide theoretical support for adaptive planning strategies for drought.
关键词：KeywordsenClimate changeFuture-oriented risk assessmentGEPIC-Vulnerability-Risk modelMaize drought riskRepresentative Concentration Pathway (RCP) scenarios