Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 20
Articles | Volume 17, issue 20
https://doi.org/10.5194/gmd-17-7317-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-7317-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 20
Development and technical paper
 | 
16 Oct 2024
Development and technical paper |  | 16 Oct 2024

The biogeochemical model Biome-BGCMuSo v6.2 provides plausible and accurate simulations of the carbon cycle in central European beech forests

Katarína Merganičová, Ján Merganič, Laura Dobor, Roland Hollós, Zoltán Barcza, Dóra Hidy, Zuzana Sitková, Pavel Pavlenda, Hrvoje Marjanovic, Daniel Kurjak, Michal Bošel'a, Doroteja Bitunjac, Maša Zorana Ostrogović Sever, Jiří Novák, Peter Fleischer, and Tomáš Hlásny

Viewed

Total article views: 1,749 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,313 336 100 1,749 159 73 85
  • HTML: 1,313
  • PDF: 336
  • XML: 100
  • Total: 1,749
  • Supplement: 159
  • BibTeX: 73
  • EndNote: 85
Views and downloads (calculated since 15 Apr 2024)
Cumulative views and downloads (calculated since 15 Apr 2024)

Viewed (geographical distribution)

Total article views: 1,749 (including HTML, PDF, and XML) Thereof 1,749 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 10 Jul 2025
Download
Short summary
We developed a multi-objective calibration approach leading to robust parameter values aiming to strike a balance between their local precision and broad applicability. Using the Biome-BGCMuSo model, we tested the calibrated parameter sets for simulating European beech forest dynamics across large environmental gradients. Leveraging data from 87 plots and five European countries, the results demonstrated reasonable local accuracy and plausible large-scale productivity responses.
Read more
Share