对作物生产的气候风险进行强有力的评估

Yean-Uk Kim, Alex C. Ruane, Robert Finger, Heidi Webber
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摘要

面对日益增多的极端气候,缺乏强有力的作物气候风险评估,限制了我们向更可持续的粮食生产系统转型的能力。在全球逐渐变暖的时代,世界正在目睹极端天气事件的强度和频率激增,如热浪、干旱、过度降雨和复合事件1。与这些事件相关的风险往往对农业生产、农民生计和粮食安全造成毁灭性后果,并对环境造成危险的氮损失。了解和量化作物歉收风险对于制定短期内改善粮食安全和生计的战略至关重要,对于农民、粮食系统行为体和政策制定者围绕农业粮食系统向可持续性的长期转型做出投资决策也至关重要。尽管农业建模界在评估平均气候变化的影响方面取得了相当大的进步,但在开发评估极端天气风险的方法方面取得的成功要少得多。突出的农业预测已经引起了政策制定者和适应规划人员的注意,他们正在利用现有的最佳工具4,但还需要改进,以支持农业和粮食系统干预措施。在这里,我们概述了农业建模界需要解决的关键研究差距,以支持建立可以管理农业风险的科学知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Robust assessment of climatic risks to crop production

Robust assessment of climatic risks to crop production

In the face of ever-increasing climate extremes, robust crop–climate risk assessments are lacking, limiting our ability to transform towards more sustainable food production systems.

In an era of progressive global warming, the world is witnessing a surge in the intensity and frequency of extreme weather events such as heatwaves, droughts, excessive rain and compounding events1. The risks associated with these events often have devastating consequences for agricultural production, farmer livelihoods and food security, and dangerous nitrogen losses to the environment. Understanding and quantifying the risk of crop failure is crucial for devising strategies to improve food security and livelihoods in the short term, as well as for de-risking investment decisions of farmers, food system actors and policymakers around the longer-term transformation of agri-food systems towards sustainability2. Although the agricultural modelling community has made considerable strides in appraising the impacts of mean climate changes, there has been much less success in developing methods to assess risks from extreme weather3. Prominent agricultural projections have caught the attention of policymakers and adaptation planners using the best available tools4, but improvement is needed to support agricultural and food system interventions. Here, we outline critical research gaps to be addressed for the agricultural modelling community to support building scientific knowledge on which agricultural risks can be managed.

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