A key strategy for agriculture to adapt to climate change is by switching crops and relocating crop production. We develop an approach to estimate the economic potential of crop reallocation using a Bayesian hierarchical model of yields. We apply the model to six crops in the United States, and show that it outperforms traditional empirical models under cross-validation. The fitted model parameters provide evidence of considerable existing climate adaptation across counties. If crop locations are held constant in the future, total agriculture profits for the six crops will drop by 31% for the temperature patterns of 2070 under RCP 8.5. When crop lands are reallocated to avoid yield decreases and take advantage of yield increases, half of these losses are avoided (16% loss), but 57% of counties are allocated crops different from those currently planted. Our results provide a framework for identifying crop adaptation opportunities, but suggest limits to their potential. Switching and relocating crops could be a key pathway for agricultural adaptation to climate change. Here, Rising and Devineni use data-driven Bayesian modelling to estimate the potential for crop switching to mitigate climate impacts on US crop production under a high-emission scenario, showing considerable opportunities but also limitations.
Rising, J; Devineni, N
Crop switching reduces agricultural losses from climate change in the United States by half under RCP 8.5
Nature Communications