Biogeosciences
Biogeosciences
BG
Articles | Volume 13, issue 10
Articles | Volume 13, issue 10
https://doi.org/10.5194/bg-13-3003-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-13-3003-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 13, issue 10
Research article
 | 
23 May 2016
Research article |  | 23 May 2016

Parametrization consequences of constraining soil organic matter models by total carbon and radiocarbon using long-term field data

Lorenzo Menichetti, Thomas Kätterer, and Jens Leifeld

Viewed

Total article views: 2,988 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,581 1,130 277 2,988 403 132 149
  • HTML: 1,581
  • PDF: 1,130
  • XML: 277
  • Total: 2,988
  • Supplement: 403
  • BibTeX: 132
  • EndNote: 149
Views and downloads (calculated since 18 Jan 2016)
Cumulative views and downloads (calculated since 18 Jan 2016)
Latest update: 19 Nov 2025
Download
Short summary
Soil organic carbon dynamics are crucial for the global greenhouse gas balance, but their complexity is difficult to model and understand. We therefore often rely on radiocarbon measurements for calibrating models, but their effect on our understanding of the processes is still unclear. We calibrated five model structures on data from a long-term Swiss field experiment in a Bayesian framework to assess the effect of radiocarbon on the parameter and structural uncertainty of a soil carbon model.
Read more
Share
Altmetrics
Final-revised paper
Preprint