Journal cover Journal topic
Biogeosciences An interactive open-access journal of the European Geosciences Union
Journal topic
BG | Volume 16, issue 9
Biogeosciences, 16, 1955–1973, 2019
https://doi.org/10.5194/bg-16-1955-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Biogeosciences, 16, 1955–1973, 2019
https://doi.org/10.5194/bg-16-1955-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 13 May 2019

Research article | 13 May 2019

Modeling soil organic carbon dynamics in temperate forests with Yasso07

Zhun Mao et al.
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (11 Sep 2018) by Luo Yu
ED: Reconsider after major revisions (09 Oct 2018) by Luo Yu
AR by Svenja Lange on behalf of the Authors (12 Oct 2018)  Author's response
ED: Referee Nomination & Report Request started (12 Oct 2018) by Luo Yu
RR by Thomas Wutzler (15 Oct 2018)
RR by Anonymous Referee #2 (22 Oct 2018)
ED: Reconsider after major revisions (27 Nov 2018) by Luo Yu
AR by Anna Wenzel on behalf of the Authors (29 Jan 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (13 Feb 2019) by Luo Yu
RR by Thomas Wutzler (18 Feb 2019)
RR by Anonymous Referee #2 (28 Mar 2019)
ED: Publish subject to technical corrections (01 Apr 2019) by Luo Yu
AR by Zhun Mao on behalf of the Authors (09 Apr 2019)  Author's response    Manuscript
Post-review adjustments
AA: Author's adjustment | EA: Editor approval
AA by Zhun Mao on behalf of the Authors (09 May 2019)   Author's adjustment   Manuscript
EA: Adjustments approved (09 May 2019) by Luo Yu
Publications Copernicus
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Short summary
In a context of global changes, modeling and predicting the dynamics of soil carbon stocks in forest ecosystems are vital but challenging. Yasso07 is considered to be one of the most promising models for such a purpose. We examine the accuracy of its prediction of soil carbon dynamics over the whole French metropolitan territory at a decennial timescale. We revealed how the bottleneck in soil carbon modeling is linked with the lack of knowledge on soil carbon quality and fine-root litter.
In a context of global changes, modeling and predicting the dynamics of soil carbon stocks in...
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