Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 13
Articles | Volume 17, issue 13
https://doi.org/10.5194/gmd-17-5349-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-5349-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 13
Development and technical paper
 | 
11 Jul 2024
Development and technical paper |  | 11 Jul 2024

Modelling boreal forest's mineral soil and peat C dynamics with the Yasso07 model coupled with the Ricker moisture modifier

Boris Ťupek, Aleksi Lehtonen, Alla Yurova, Rose Abramoff, Bertrand Guenet, Elisa Bruni, Samuli Launiainen, Mikko Peltoniemi, Shoji Hashimoto, Xianglin Tian, Juha Heikkinen, Kari Minkkinen, and Raisa Mäkipää

Viewed

Total article views: 707 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
512 157 38 707 59 21 28
  • HTML: 512
  • PDF: 157
  • XML: 38
  • Total: 707
  • Supplement: 59
  • BibTeX: 21
  • EndNote: 28
Views and downloads (calculated since 18 Aug 2023)
Cumulative views and downloads (calculated since 18 Aug 2023)

Viewed (geographical distribution)

Total article views: 707 (including HTML, PDF, and XML) Thereof 653 with geography defined and 54 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 15 Jul 2024
Download
Short summary
Updating the Yasso07 soil C model's dependency on decomposition with a hump-shaped Ricker moisture function improved modelled soil organic C (SOC) stocks in a catena of mineral and organic soils in boreal forest. The Ricker function, set to peak at a rate of 1 and calibrated against SOC and CO2 data using a Bayesian approach, showed a maximum in well-drained soils. Using SOC and CO2 data together with the moisture only from the topsoil humus was crucial for accurate model estimates.
Read more