Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 15
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.
https://doi.org/10.5194/gmd-17-5961-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 15
Model evaluation paper
 | 
09 Aug 2024
Model evaluation paper |  | 09 Aug 2024

Radiocarbon analysis reveals underestimation of soil organic carbon persistence in new-generation soil models

Alexander S. Brunmayr, Frank Hagedorn, Margaux Moreno Duborgel, Luisa I. Minich, and Heather D. Graven

Viewed

Total article views: 3,995 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,036 846 113 3,995 173 104 184
  • HTML: 3,036
  • PDF: 846
  • XML: 113
  • Total: 3,995
  • Supplement: 173
  • BibTeX: 104
  • EndNote: 184
Views and downloads (calculated since 19 Jan 2024)
Cumulative views and downloads (calculated since 19 Jan 2024)

Viewed (geographical distribution)

Total article views: 3,995 (including HTML, PDF, and XML) Thereof 3,931 with geography defined and 64 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 02 May 2026
Download
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.
Read more
Share