Biogeosciences
Biogeosciences
BG
Articles | Volume 22, issue 16
Articles | Volume 22, issue 16
https://doi.org/10.5194/bg-22-4107-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-22-4107-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 16
Research article
 | 
25 Aug 2025
Research article |  | 25 Aug 2025

Drivers of soil organic carbon from temperate to alpine forests: a model-based analysis of the Swiss forest soil inventory with Yasso20

Claudia Guidi, Sia Gosheva-Oney, Markus Didion, Roman Flury, Lorenz Walthert, Stephan Zimmermann, Brian J. Oney, Pascal A. Niklaus, Esther Thürig, Toni Viskari, Jari Liski, and Frank Hagedorn

Viewed

Total article views: 3,375 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,745 375 255 3,375 114 90 296
  • HTML: 2,745
  • PDF: 375
  • XML: 255
  • Total: 3,375
  • Supplement: 114
  • BibTeX: 90
  • EndNote: 296
Views and downloads (calculated since 16 Dec 2024)
Cumulative views and downloads (calculated since 16 Dec 2024)

Viewed (geographical distribution)

Total article views: 3,375 (including HTML, PDF, and XML) Thereof 3,371 with geography defined and 4 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 16 Apr 2026
Download
Short summary
Predicting soil organic carbon (SOC) stocks in forests is crucial to determining the C balance, yet drivers of SOC stocks remain uncertain at large scales. Across a broad environmental gradient in Switzerland, we compared measured SOC stocks with those modeled by Yasso, which is commonly used for greenhouse gas budgets. We show that soil mineral properties and climate are the main controls of SOC stocks, indicating that better accounting of these processes will advance the accuracy of SOC stock predictions.
Read more
Share
Altmetrics
Final-revised paper
Preprint