Login / Signup

Climate impacts on global agriculture emerge earlier in new generation of climate and crop models.

Jonas JägermeyrChristoph MüllerAlex C RuaneJoshua ElliottJuraj BalkovicOscar CastilloBabacar FayeIan T FosterChristian FolberthJames A FrankeKathrin FuchsJose Rafael GuarinJens HeinkeGerrit HoogenboomToshichika IizumiAtul K JainDavid KellyNikolay KhabarovStefan LangeTzu-Shun LinWenfeng LiuOleksandr MialykSara MinoliElisabeth J MoyerMasashi OkadaMeridel PhillipsCheryl H PorterSam S RabinClemens ScheerJulia M SchneiderJoep F SchynsRastislav SkalskyAndrew SmeraldTommaso StellaHaynes StephensHeidi A WebberFlorian ZabelCynthia Rosenzweig
Published in: Nature food (2021)
Potential climate-related impacts on future crop yield are a major societal concern. Previous projections of the Agricultural Model Intercomparison and Improvement Project's Global Gridded Crop Model Intercomparison based on the Coupled Model Intercomparison Project Phase 5 identified substantial climate impacts on all major crops, but associated uncertainties were substantial. Here we report new twenty-first-century projections using ensembles of latest-generation crop and climate models. Results suggest markedly more pessimistic yield responses for maize, soybean and rice compared to the original ensemble. Mean end-of-century maize productivity is shifted from +5% to -6% (SSP126) and from +1% to -24% (SSP585)-explained by warmer climate projections and improved crop model sensitivities. In contrast, wheat shows stronger gains (+9% shifted to +18%, SSP585), linked to higher CO 2 concentrations and expanded high-latitude gains. The 'emergence' of climate impacts consistently occurs earlier in the new projections-before 2040 for several main producing regions. While future yield estimates remain uncertain, these results suggest that major breadbasket regions will face distinct anthropogenic climatic risks sooner than previously anticipated.
Keyphrases
  • climate change
  • human health
  • quality improvement
  • current status
  • computed tomography
  • heavy metals