Here we look at food impacts with an ensemble of 11 crop models (simulating maize, wheat, rice, soy), 5 climate models and 3 emissions scenarios out to 2100. Conducted by AgMIP and ISIMIP with mean yield change outputs previously published by Jonas Jaegermeyr 4/12

We examined outputs from 11 biophysical process-based crop models (maize, wheat, rice, soy), each driven with bias-adjusted outputs from 5 climate models for 3 emissions scenarios, looking at yield changes with each successive global warming level (GWL). Thanks to AgMIP & ISIMIP

Read the new perspective by Leslie Lipper here: www.nature.com/articles/s41...
Read the original AgMIP-Wheat study (Asseng et al. 2015) here: www.nature.com/articles/ncl...

📸 Photo: AgMIP-Wheat Team at their latest workshop in Beijing, 2024

The piece highlights how the AgMIP-Wheat Team laid the foundation for over a decade of research on climate and food production. As our name suggests, #AgMIP continues to improve agricultural and food system models to strengthen the evidence base and support real-world decision-making.

A new paper in @natureportfolio.nature.com's News & Views reflects on how agricultural research has evolved since the seminal 2015 #AgMIP-Wheat study led by Senthold Asseng, with contributions from many members of the AgMIP-Wheat Team.

Over 13 years, AgMIP has grown to 50+ initiatives, including Global Gridded Crop Model Intercomparison (GGCMI), Machine Learning (AgML), and crop teams such as Wheat, Soybean, Rice, and more. To learn more about AgMIP teams and initiatives, go to agmip.org.