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

Menichetti, Lorenzo; Kätterer, Thomas; Leifeld, Jens

doi:https://doi.org/10.5194/bg-13-3003-2016

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

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Final revised paper (published on 23 May 2016)
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Preprint (discussion started on 18 Jan 2016)
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Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Nice paper', Anonymous Referee #1, 22 Feb 2016
- SC1: 'Asnwer to referee #1', Lorenzo Menichetti, 09 Mar 2016
- AC1: 'Answer to referee #1, all coauthors', Lorenzo Menichetti, 30 Mar 2016
RC2: 'review of Menichetti et al.', Anonymous Referee #2, 06 Mar 2016
- SC2: 'Asnwer to referee #2', Lorenzo Menichetti, 11 Mar 2016
- AC2: 'Answer to referee #2, all coauthors', Lorenzo Menichetti, 30 Mar 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to minor revisions (Editor review) (14 Apr 2016) by Akihiko Ito

AR by Lorenzo Menichetti on behalf of the Authors (28 Apr 2016) Author's response Manuscript

ED: Publish as is (06 May 2016) by Akihiko Ito

AR by Lorenzo Menichetti on behalf of the Authors (06 May 2016)

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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.