Biophysical and policy factors predict simplified crop rotations in the US Midwest

Over 70% of the 62 million hectares of cropland in the Midwestern United States is grown in corn-based rotations. These crop rotations are caught in a century-long simplification trend despite robust evidence demonstrating yield and soil benefits from diversified rotations. Our ability to explore and explain this trend will come in part from observing the biophysical and policy influences on farmers' crop choices at one key level of management: the field. Yet field-level crop rotation patterns remain largely unstudied at regional scales and will be essential for understanding how national agricultural policy manifests locally and interacts with biophysical phenomena to erode-or bolster-soil and environmental health, agricultural resilience, and farmers' livelihoods. We developed a novel indicator of crop rotational complexity and applied it to 1.5 million fields across the US Midwest. We used bootstrapped linear mixed models to regress field-level rotational complexity against biophysical (land capability, precipitation) and policy-driven (distance to the nearest biofuel plant and grain elevator) factors. After accounting for spatial autocorrelation, there were statistically clear negative relationships between rotational complexity and biophysical factors (land capability and precipitation during the growing season), indicating decreased rotation in prime growing areas. A positive relationship between rotational complexity and distance to the nearest biofuel plant suggests policy-based, as well as biophysical, constraints on regional rotations. This novel RCI is a promising tool for future fine-scale rotational analysis and demonstrates that the United States' most fertile soils are the most prone to degradation, with recent policy choices further exacerbating this trend.

Automated summary

This study analyzed the crop rotational complexity of 1.5 million fields in the US Midwest and found a negative relationship between rotational complexity and biophysical factors such as land capability and precipitation, indicating reduced rotation in prime growing areas. Additionally, a positive relationship between rotational complexity and distance to the nearest biofuel plant suggests policy-driven constraints on regional rotations, exacerbating soil degradation in the US's most fertile soils.