Articles | Volume 13, issue 10
https://doi.org/10.5194/bg-13-3003-2016
https://doi.org/10.5194/bg-13-3003-2016
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: 2,552 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,308 988 256 2,552 346 104 106
  • HTML: 1,308
  • PDF: 988
  • XML: 256
  • Total: 2,552
  • Supplement: 346
  • BibTeX: 104
  • EndNote: 106
Views and downloads (calculated since 18 Jan 2016)
Cumulative views and downloads (calculated since 18 Jan 2016)

Cited

Saved (preprint)

Discussed (preprint)

Latest update: 14 Dec 2024
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.
Altmetrics
Final-revised paper
Preprint