Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 23
Articles | Volume 18, issue 23
https://doi.org/10.5194/gmd-18-9855-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-9855-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 23
Development and technical paper
 | 
10 Dec 2025
Development and technical paper |  | 10 Dec 2025

rsofun v5.1: a model-data integration framework for simulating ecosystem processes

Josefa Arán Paredes, Fabian Bernhard, Koen Hufkens, Mayeul Marcadella, and Benjamin D. Stocker

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Latest update: 05 Nov 2026
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Short summary
Mechanistic vegetation models serve to estimate terrestrial carbon fluxes and climate impacts on ecosystems across diverse conditions. Here, we demonstrate and evaluate the rsofun R package, which provides a computationally efficient implementation of the P-model for site-scale simulations of ecosystem photosynthesis. Bayesian model fitting to observed fluxes and traits and evaluation on an independent test data set indicated robust calibration and unbiased prediction capabilities.
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