Biogeosciences
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Articles | Volume 23, issue 4
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.
https://doi.org/10.5194/bg-23-1719-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 23, issue 4
Research article
 | 
03 Mar 2026
Research article |  | 03 Mar 2026

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, Markus Sulzer, Ralf Kiese, Andreas Christen, Markus Weiler, Lea Dedden, Julian Brzozon, Pia Labenski, Prajwal Khanal, Ladislav Šigut, and Rüdiger Grote

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Latest update: 14 Jun 2026
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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.
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