Global Crop Losses from Climate Change, GGC Models Predict

by Adin Bonapart

Rosenzweig et al. (2014) perform an intercomparison of seven global gridded crop models (GGCMs) and analyze their combined effectiveness in predicting the outcomes of climate change on the world’s food systems. Differences in the structure, purpose, and process between individual models are major sources of uncertainty in multi-model climate change assessments. Regardless of their high degrees of uncertainty however, global crop projections indicate substantial crop-yield losses worldwide, particularly in the tropics. Continue reading

Global Crop Losses from Climate Change, GGC Models Predict

by Adin Bonapart

Rosenzweig et al. (2014) perform an intercomparison of seven global gridded crop models (GGCMs) and analyze their combined effectiveness in predicting the outcomes of climate change on the world’s food systems. Differences in the structure, purpose, and process between individual models are major sources of uncertainty in multi-model climate change assessments. Regardless of their high degrees of uncertainty however, global crop projections indicate substantial crop-yield losses worldwide, particularly in the tropics. Continue reading