Articles | Volume 23, issue 4
https://doi.org/10.5194/bg-23-1719-2026
https://doi.org/10.5194/bg-23-1719-2026
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

Viewed

Total article views: 935 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
665 225 45 935 95 26 28
  • HTML: 665
  • PDF: 225
  • XML: 45
  • Total: 935
  • Supplement: 95
  • BibTeX: 26
  • EndNote: 28
Views and downloads (calculated since 06 Oct 2025)
Cumulative views and downloads (calculated since 06 Oct 2025)

Viewed (geographical distribution)

Total article views: 935 (including HTML, PDF, and XML) Thereof 907 with geography defined and 28 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 03 Mar 2026
Download
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.
Share
Altmetrics
Final-revised paper
Preprint