University of Florida Researchers have found, for the first time, that crop models predicting yields for one of the world’s most important crops begin to disagree under climate change scenarios. By knowing where those models break down, researchers will be better able to improve them. The computerized models predict crop yields for wheat, one of the world’s most-consumed foods. For full press release about the newly published study in Nature Climate Change, click here.
Understanding how climate change will affect crop yields in the future is vitally important to agricultural decision makers today. However the models we are using to predict potential impacts often disagree. AgMIP researchers have just published a letter online in the June issue of Nature Climate Change, “Uncertainty in simulating wheat yields under climate change” that proposes a new methodology to decrease uncertainty and improve predictions. For full story and link to article, click here.