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气候变化对非洲粮食安全影响的研究。

Research on the impact of climate change on food security in Africa.

作者信息

Liu Jinglei, Wu Jiajie, Jiang Dong, Chen Shuai, Hao Mengmeng, Ding Fangyu, Wu Genan, Liang Hanwei

机构信息

Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.

College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.

出版信息

Sci Rep. 2025 Aug 25;15(1):31251. doi: 10.1038/s41598-025-14560-5.

DOI:10.1038/s41598-025-14560-5
PMID:40855076
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12378194/
Abstract

Global warming and the rising frequency of extreme climate events pose significant threats to food security. We examine the influence of climate change on food security in Sub-Saharan Africa, with a specific emphasis on four key crops: maize, rice, wheat, and soybeans. We employ a random forest model to estimate spatial and temporal yield trends based on climate variables, land‑use patterns, and irrigation ratios. We also studied the differential impacts of climate change on various crop types, taking into account their physiological characteristics and responses to changing environmental conditions. This prediction is performed under three Shared Socioeconomic Pathways (SSP2‑4.5, SSP3‑7.0, SSP5‑8.5)-using five global climate models (GCMs): BCC-CSM2-MR, CanESM5, IPSL-CM6A-LR, GFDL-ESM4 and MPI-ESM1-2-LR. The findings suggest the following: (1) Maize, a C4 crop, is projected to experience a severe decrease in future harvests, especially under the SSP5-8.5 scenario. The worst declines are forecasted in eastern South Africa and Zambia. (2) Both rice and wheat are C3 crops that experience a "CO fertilization effect," resulting in an increase in yields over time. The SSP5-8.5 scenario primarily focuses on the increase in rice production in West Africa, highlighting this phenomenon. Conversely, significant increases in wheat yield are observed in South Africa and Nigeria. (3) Soybean, a C3 nitrogen-fixing crop, is projected to retain consistent yields overall but with a modest decline in comparison with past norms. The general distribution pattern of soybean yields remains mostly consistent across the SSP scenarios, with the increase in high-yield regions occurring primarily in South Africa.

摘要

全球变暖和极端气候事件频率上升对粮食安全构成重大威胁。我们研究气候变化对撒哈拉以南非洲地区粮食安全的影响,特别关注四种主要作物:玉米、水稻、小麦和大豆。我们采用随机森林模型,根据气候变量、土地利用模式和灌溉比例来估计空间和时间产量趋势。我们还研究了气候变化对不同作物类型的差异影响,同时考虑了它们的生理特征以及对不断变化的环境条件的反应。该预测是在三种共享社会经济路径(SSP2-4.5、SSP3-7.0、SSP5-8.5)下,使用五个全球气候模型(GCM)进行的:BCC-CSM2-MR、CanESM5、IPSL-CM6A-LR、GFDL-ESM4和MPI-ESM1-2-LR。研究结果表明:(1)玉米作为一种C4作物,预计未来产量将大幅下降,尤其是在SSP5-8.5情景下。预计南非东部和赞比亚的降幅最大。(2)水稻和小麦都是C3作物,会经历“CO2施肥效应”,导致产量随时间增加。SSP5-8.5情景主要关注西非水稻产量的增加,突出了这一现象。相反,在南非和尼日利亚观察到小麦产量显著增加。(3)大豆作为一种C3固氮作物,预计总体产量将保持稳定,但与过去的标准相比会略有下降。大豆产量的总体分布模式在不同的SSP情景下大多保持一致,高产地区的增加主要发生在南非。

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Intensifying rice production to reduce imports and land conversion in Africa.加强非洲水稻生产以减少进口和土地转换。
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Agricultural input shocks affect crop yields more in the high-yielding areas of the world.农业投入冲击对世界高产区的作物产量影响更大。
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Statistical-dynamical modeling of the maize yield response to future climate change in West, East and Central Africa using the regional climate model REMO.利用区域气候模型REMO对西非、东非和中非玉米产量对未来气候变化的响应进行统计动力学建模。
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Rebuilding high-quality near-surface ozone data based on the combination of WRF-Chem model with a machine learning method to better estimate its impact on crop yields in the Beijing-Tianjin-Hebei region from 2014 to 2019.基于WRF-Chem模型与机器学习方法相结合重建高质量近地表臭氧数据,以更好地估算2014年至2019年京津冀地区其对作物产量的影响。
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