Articles | Volume 23, issue 4
https://doi.org/10.5194/bg-23-1719-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-23-1719-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Matching scales of eddy covariance measurements and process-based modeling – assessing spatiotemporal dynamics of carbon and water fluxes in a mixed forest in Southern Germany
Hassane Moutahir
CORRESPONDING AUTHOR
Institute of Meteorology and Climate Research/Atmospheric Environmental Research (IMKIFU), Karlsruhe Institute of Technology KIT, Garmisch-Partenkirchen, Germany
Institute of Geo- and Environmental Sciences, Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany
Markus Sulzer
Chair of Environmental Meteorology, Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany
Ralf Kiese
Institute of Meteorology and Climate Research/Atmospheric Environmental Research (IMKIFU), Karlsruhe Institute of Technology KIT, Garmisch-Partenkirchen, Germany
Andreas Christen
Chair of Environmental Meteorology, Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany
Markus Weiler
Chair of Hydrology, Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany
Lea Dedden
Chair of Hydrology, Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany
Julian Brzozon
Chair of Soil Ecology, Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany
Pia Labenski
Institute of Meteorology and Climate Research/Atmospheric Environmental Research (IMKIFU), Karlsruhe Institute of Technology KIT, Garmisch-Partenkirchen, Germany
Prajwal Khanal
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede 7500 AE, the Netherlands
Ladislav Šigut
Department of Matters and Energy Fluxes, Global Change Research Institute of the Czech Academy of Sciences, Bělidla 986/4a, 60300 Brno, Czech Republic
Institute of Meteorology and Climate Research/Atmospheric Environmental Research (IMKIFU), Karlsruhe Institute of Technology KIT, Garmisch-Partenkirchen, Germany
Model code and software
LandscapeDNDC (v1.30.4) K. Butterbach-Bahl et al. https://doi.org/10.35097/438
Short summary
Eddy covariance (EC) data are vital for studying carbon and water fluxes but often mask species-specific responses in mixed forests. At a Black Forest site with beech and Douglas fir, we combined EC data with ecosystem modeling to separate species contributions. Results show EC fluxes reflect species abundance within flux footprints, though responses vary seasonally. Accounting for these differences is key for gap-filling, accurate budgets, and understanding mixed forests’ climate resilience.
Eddy covariance (EC) data are vital for studying carbon and water fluxes but often mask...
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