Compound and cascading droughts and heatwaves decrease maize yields by nearly half in Sinaloa, Mexico

Samuel J. Sutanto, Susana B. Zarzoza Mora, Iwan Supit, Mengru Wang
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Abstract

The impact of droughts and heatwaves on agriculture losses has been exacerbated by the occurrence of compound and cascading events. Here we present a study that evaluates the impact of these events both as singly and as compound and cascading on maize yield in Sinaloa Mexico from 1990 to 2022, using the WOFOST crop model. Drought and heatwave events were identified using the Standardized Precipitation Index and threshold method, respectively. Results show that yield reduction (25%) is found during extreme drought events, emphasizing the vulnerability of maize farming to unfavorable drought conditions. While heatwaves alone did not show a significant impact on maize yields, the compound and cascading droughts and heatwaves amplified the loss of maize yields by up to 44% compared to normal conditions. This study highlights the need for adaptive strategies in agriculture to sustain food security during extreme events, especially in the context of multi hazard framework.

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墨西哥锡那罗亚州的复合连环干旱和热浪使玉米减产近一半
干旱和热浪对农业损失的影响因复合和连锁事件的发生而加剧。在此,我们利用 WOFOST 作物模型,评估了 1990 年至 2022 年间这些事件对墨西哥锡那罗亚州玉米产量的单一影响以及复合和连带影响。干旱和热浪事件分别采用标准化降水指数和阈值法进行识别。结果表明,在极端干旱事件期间,玉米产量会减少(25%),这凸显了玉米种植在不利干旱条件下的脆弱性。虽然热浪本身对玉米产量的影响并不显著,但与正常情况相比,干旱和热浪的复合和叠加使玉米产量损失扩大了 44%。这项研究强调了在极端事件期间,特别是在多重灾害框架下,农业需要采取适应性战略来维持粮食安全。
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