Chou Jieming, Jin Haofeng, Xu Yuan, Zhao Weixing, Li Yuanmeng, Hao Yidan
Key Laboratory of Environmental Change and Natural Disaster, MOE, Beijing Normal University, Beijing 100875, China.
Institute of Disaster Risk Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
Foods. 2024 Mar 21;13(6):966. doi: 10.3390/foods13060966.
Climate change poses a high risk to grain yields. Maize, rice, and wheat are the three major grain crops in China, Japan, and Korea. Assessing the impacts and risks of climate on the yields of these grain cops is crucial. An economy-climate model (C-D-C model) was established to assess the impacts of climate factors on the grain yields in different crop areas. The peaks over threshold model based on the generalized Pareto distribution was used to calculate the value at risk and the expected shortfall, which can evaluate the yield risk of different crops. The impact ratio of climate change was employed to estimate the impacts of climate change under different climate scenarios. The main conclusions can be summarized as follows: the impacts of climate factors on grain yields and the risk vary widely across the different regions and crops. Compared to 1991-2020, climate change from 2021 to 2050 exerts positive impacts on rice and wheat, while the negative impacts on maize in the crop areas are significantly affected by climate factors. The impact ratios of climate change are larger in the SSP1-2.6 and the SSP5-8.5 scenarios than under the SSP2-4.5 scenario. These findings are useful for targeting grain yields in smaller study areas.
气候变化对粮食产量构成高风险。玉米、水稻和小麦是中国、日本和韩国的三大粮食作物。评估气候对这些粮食作物产量的影响和风险至关重要。建立了一个经济 - 气候模型(C - D - C模型)来评估气候因素对不同作物种植区粮食产量的影响。基于广义帕累托分布的阈值超越模型用于计算风险价值和预期短缺,从而评估不同作物的产量风险。气候变化影响比率用于估计不同气候情景下气候变化的影响。主要结论可总结如下:气候因素对粮食产量的影响和风险在不同地区和作物间差异很大。与1991 - 2020年相比,2021年至2050年的气候变化对水稻和小麦有积极影响,而作物种植区对玉米的负面影响受气候因素显著影响。气候变化影响比率在SSP1 - 2.6和SSP5 - 8.5情景下比在SSP2 - 4.5情景下更大。这些发现对于在较小研究区域确定粮食产量目标很有用。