Biogeosciences
Biogeosciences
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Articles | Volume 19, issue 5
Articles | Volume 19, issue 5
https://doi.org/10.5194/bg-19-1469-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-19-1469-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 5
Research article
 | 
14 Mar 2022
Research article |  | 14 Mar 2022

Implementation of mycorrhizal mechanisms into soil carbon model improves the prediction of long-term processes of plant litter decomposition

Weilin Huang, Peter M. van Bodegom, Toni Viskari, Jari Liski, and Nadejda A. Soudzilovskaia

Supplement

https://doi.org/10.5194/bg-19-1469-2022-supplement

Data sets

Code and data for Yasso_Myco modelling Weilin Huang, Peter M. van Bodegom, Toni Viskari, Jari Liski, and Nadejda A. Soudzilovskaia https://doi.org/10.5281/zenodo.5579682

Model code and software

The impact of calibrating soil organic carbon model Yasso with multiple datasets Toni Viskari, Janne Pusa, Istem Fer, Anna Repo, Julius Vira, and Jari Liski https://doi.org/10.5281/zenodo.5059909

Code and data for Yasso_Myco modelling Weilin Huang, Peter M. van Bodegom, Toni Viskari, Jari Liski, and Nadejda A. Soudzilovskaia https://doi.org/10.5281/zenodo.5579682

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Short summary
This work focuses on one of the essential pathways of mycorrhizal impact on C cycles: the mediation of plant litter decomposition. We present a model based on litter chemical quality which precludes a conclusive examination of mycorrhizal impacts on soil C. It improves long-term decomposition predictions and advances our understanding of litter decomposition dynamics. It creates a benchmark in quantitatively examining the impacts of plant–microbe interactions on soil C dynamics.
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