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生长季内干湿期模式是撒哈拉以南非洲玉米产量变异性的关键驱动因素。

Intra-growing season dry-wet spell pattern is a pivotal driver of maize yield variability in sub-Saharan Africa.

机构信息

European Commission - Joint Research Centre, Ispra, Italy.

Arhs Italia-External Consultant at European Commission - Joint Research Centre, Ispra, Italy.

出版信息

Nat Food. 2024 Sep;5(9):775-786. doi: 10.1038/s43016-024-01040-8. Epub 2024 Sep 16.

Abstract

Climate variability plays a crucial role in the annual fluctuations of crop yields, posing a substantial threat to food security. Maize, the main cereal in sub-Saharan Africa, has shown varied yield trends during increasingly warmer growing seasons. Here we explore how sub-seasonal dry-wet spell patterns contribute to this variability, considering the spatial heterogeneity of crop responses, to map weather-related risks at a regional level. Our results show that shifts in specific dry-wet spell patterns across growth stages influence maize yield fluctuations in sub-Saharan Africa, explaining up to 50-60% of the interannual variation, which doubles that explained by mean changes in precipitation and temperature (30-35%). Precipitation primarily drives the onset of dry spells, while the influence of temperature increases with event intensity and peaks at the start of the growing season. Our large-scale, data-limited analysis approach has the potential to inform climate-smart agriculture in developing regions.

摘要

气候变异性在农作物产量的年度波动中起着至关重要的作用,对粮食安全构成了重大威胁。玉米是撒哈拉以南非洲地区的主要谷物,在日益变暖的生长季节中表现出不同的产量趋势。在这里,我们探讨了亚季节干湿期模式如何导致这种变异性,考虑到作物反应的空间异质性,以在区域层面绘制与天气相关的风险图。我们的研究结果表明,生长阶段特定干湿期模式的转变会影响撒哈拉以南非洲地区的玉米产量波动,解释了高达 50-60%的年际变化,是降水和温度均值变化(30-35%)解释的两倍。降水主要驱动干旱期的开始,而温度的影响随着事件强度的增加而增加,并在生长季节开始时达到峰值。我们的大规模、数据有限的分析方法有可能为发展中地区的气候智能型农业提供信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af01/11420062/57284db09b4e/43016_2024_1040_Fig1_HTML.jpg

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