Articles | Volume 17, issue 15
https://doi.org/10.5194/gmd-17-5961-2024
© 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-17-5961-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
09 Aug 2024
Model evaluation paper |
| 09 Aug 2024
| 09 Aug 2024
Radiocarbon analysis reveals underestimation of soil organic carbon persistence in new-generation soil models
Imperial College London, Department of Physics, South Kensington Campus, London SW7 2AZ, United Kingdom
Frank Hagedorn
Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland
Margaux Moreno Duborgel
Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland
ETH Zurich, Department of Earth Sciences, Sonneggstrasse 5, 8092 Zurich, Switzerland
Luisa I. Minich
Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland
ETH Zurich, Department of Earth Sciences, Sonneggstrasse 5, 8092 Zurich, Switzerland
Heather D. Graven
Imperial College London, Department of Physics, South Kensington Campus, London SW7 2AZ, United Kingdom
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Short summary
A new generation of soil models promises to more accurately predict the carbon cycle in soils under climate change. However, measurements of 14C (the radioactive carbon isotope) in soils reveal that the new soil models face similar problems to the traditional models: they underestimate the residence time of carbon in soils and may therefore overestimate the net uptake of CO2 by the land ecosystem. Proposed solutions include restructuring the models and calibrating model parameters with 14C data.
A new generation of soil models promises to more accurately predict the carbon cycle in soils...
