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

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

doi:10.5194/gmd-18-9855-2025

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

Supplement

https://doi.org/10.5194/gmd-18-9855-2025-supplement

Data sets

FluxDataKit v3.4.2: A comprehensive data set of ecosystem fluxes for land surface modelling K. Hufkens and B. Stocker https://doi.org/10.5281/zenodo.14808331

traitecoevo/leaf13C: v0.2.2 Will Cornwell https://doi.org/10.5281/zenodo.15239220

Global photosynthetic capacity is optimized to the environment Nicholas G. Smith et al. https://doi.org/10.1111/ele.13210

ETOPO1 1 Arc-Minute Global Relief Model NOAA National Geophysical Data Center https://doi.org/10.7289/V5C8276M

Atmospheric Monthly In Situ CO2 Data - Mauna Loa Observatory, Hawaii. In Scripps CO2 Program Data Keeling et al. https://doi.org/10.6075/J08W3BHW

Model code and software

geco-bern/rsofun: rsofun 5.1.0 Benjamin Stocker et al. https://doi.org/10.5281/zenodo.17313273

Interactive computing environment

geco-bern/rsofun_doc: v1.0.2 Fabian Bernhard and Benjamin Stocker https://doi.org/10.5281/zenodo.17204361

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.