Rogério de S Nóia Júnior, Senthold Asseng, Christoph Müller, Jean-Charles Deswarte, Jean-Pierre Cohan, Pierre Martre
{"title":"Negative impacts of climate change on crop yields are underestimated.","authors":"Rogério de S Nóia Júnior, Senthold Asseng, Christoph Müller, Jean-Charles Deswarte, Jean-Pierre Cohan, Pierre Martre","doi":"10.1016/j.tplants.2025.05.002","DOIUrl":null,"url":null,"abstract":"<p><p>Crop simulation models are routinely used to project the impacts of climate change on crop yields. However, such models perform poorly when simulating extreme historical events. We reviewed current crop models according to the processes they simulate. The review suggests the inability of most models to simulate several mechanisms of adverse climatic impacts on crops, such as those caused by heavy rain and waterlogging. Current crop models are therefore likely to increasingly underestimate climate impacts on crops if adverse climate conditions escalate in frequency and severity as expected. Improved modeling is crucial to accurately project crop yields and enhance the resilience of global food systems under extreme weather.</p>","PeriodicalId":23264,"journal":{"name":"Trends in Plant Science","volume":" ","pages":""},"PeriodicalIF":17.3000,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trends in Plant Science","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.tplants.2025.05.002","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PLANT SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Crop simulation models are routinely used to project the impacts of climate change on crop yields. However, such models perform poorly when simulating extreme historical events. We reviewed current crop models according to the processes they simulate. The review suggests the inability of most models to simulate several mechanisms of adverse climatic impacts on crops, such as those caused by heavy rain and waterlogging. Current crop models are therefore likely to increasingly underestimate climate impacts on crops if adverse climate conditions escalate in frequency and severity as expected. Improved modeling is crucial to accurately project crop yields and enhance the resilience of global food systems under extreme weather.
期刊介绍:
Trends in Plant Science is the primary monthly review journal in plant science, encompassing a wide range from molecular biology to ecology. It offers concise and accessible reviews and opinions on fundamental plant science topics, providing quick insights into current thinking and developments in plant biology. Geared towards researchers, students, and teachers, the articles are authoritative, authored by both established leaders in the field and emerging talents.