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Articles | Volume 12, issue 2
Articles | Volume 12, issue 2
https://doi.org/10.5194/soil-12-821-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/soil-12-821-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 12, issue 2
Original research article
 | 
21 Aug 2026
Original research article |  | 21 Aug 2026

Ensemble agroecosystem modeling enhances predictions of crop yields and soil carbon across the United States

Sagar Gautam, Chang Gyo Jung, Rattan Lal, Klaus Lorenz, Jinyun Tang, DeAnn Ricks Presley, Alan J. Franzluebbers, and Umakant Mishra

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Short summary
We developed an ensemble approach that combines three agroecosystem models to predict crop yields and changes in soil carbon across the United States. The ensemble results were more accurate and consistent compared to individual model. Ensemble result matched closely the observed yield data and soil carbon measurements while reducing the uncertainty from the individual models. This work improves our ability to track carbon change and supports carbon farming, climate action, and land management.
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Advances in dynamic soil modelling across scales