Yean-Uk Kim, Alex C. Ruane, Robert Finger, Heidi Webber
{"title":"Robust assessment of climatic risks to crop production","authors":"Yean-Uk Kim, Alex C. Ruane, Robert Finger, Heidi Webber","doi":"10.1038/s43016-025-01168-1","DOIUrl":null,"url":null,"abstract":"<p>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.</p><p>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 events<sup>1</sup>. 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 sustainability<sup>2</sup>. 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 weather<sup>3</sup>. Prominent agricultural projections have caught the attention of policymakers and adaptation planners using the best available tools<sup>4</sup>, 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.</p>","PeriodicalId":19090,"journal":{"name":"Nature Food","volume":"63 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Food","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1038/s43016-025-01168-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.