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.
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.
the Creative Commons Attribution 4.0 License.
Modelling boreal forest's mineral soil and peat C dynamics with the Yasso07 model coupled with the Ricker moisture modifier
Natural Resources Institute Finland (Luke), Helsinki, Finland
Aleksi Lehtonen
Natural Resources Institute Finland (Luke), Helsinki, Finland
Alla Yurova
Northwest Institute of Eco-environment and Resources, Lanzhou, China
Rose Abramoff
Lawrence Berkeley National Laboratory, University of California, Berkeley, Berkeley, CA, USA
Institute for Globally Distributed Open Research and Education (IGDORE), Montclair, NJ, USA
Bertrand Guenet
Laboratoire de Géologie, L'École Normale Supérieure (ENS), Paris, France
Elisa Bruni
Laboratoire de Géologie, L'École Normale Supérieure (ENS), Paris, France
Samuli Launiainen
Natural Resources Institute Finland (Luke), Helsinki, Finland
Mikko Peltoniemi
Natural Resources Institute Finland (Luke), Helsinki, Finland
Shoji Hashimoto
Forestry and Forest Products Research Institute (FFPRI), Tsukuba, Japan
Xianglin Tian
Dept. of Forest Sciences, University of Helsinki, Helsinki, Finland
College of Forestry, Northwest A&F University, Yangling, Shaanxi, China
Juha Heikkinen
Natural Resources Institute Finland (Luke), Helsinki, Finland
Kari Minkkinen
Dept. of Forest Sciences, University of Helsinki, Helsinki, Finland
Raisa Mäkipää
Natural Resources Institute Finland (Luke), Helsinki, Finland
Data sets
Data assimilation of boreal forest - mire ecotone soil C dynamics into Yasso07 model coupled with updated moisture modifier Boris Tupek et al. https://doi.org/10.5281/zenodo.8111475
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.
Updating the Yasso07 soil C model's dependency on decomposition with a hump-shaped Ricker...