Articles | Volume 13, issue 15
Biogeosciences, 13, 4439–4459, 2016
https://doi.org/10.5194/bg-13-4439-2016
Biogeosciences, 13, 4439–4459, 2016
https://doi.org/10.5194/bg-13-4439-2016

Research article 10 Aug 2016

Research article | 10 Aug 2016

Underestimation of boreal soil carbon stocks by mathematical soil carbon models linked to soil nutrient status

Boris Ťupek 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: Reconsider after major revisions (09 Apr 2016) by Alexey V. Eliseev
AR by Boris Tupek on behalf of the Authors (11 Apr 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (12 Apr 2016) by Alexey V. Eliseev
RR by Anonymous Referee #2 (22 Apr 2016)
RR by Leonid L. Golubyatnikov (29 Apr 2016)
ED: Reject (04 May 2016) by Alexey V. Eliseev
ED: Reconsider after major revisions (18 May 2016) by Alexey V. Eliseev
AR by Boris Tupek on behalf of the Authors (18 May 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (20 May 2016) by Alexey V. Eliseev
RR by Anonymous Referee #3 (21 Jun 2016)
ED: Publish subject to minor revisions (Editor review) (22 Jun 2016) by Alexey V. Eliseev
AR by Boris Tupek on behalf of the Authors (06 Jul 2016)  Author's response    Manuscript
ED: Publish subject to technical corrections (07 Jul 2016) by Alexey V. Eliseev
AR by Boris Tupek on behalf of the Authors (12 Jul 2016)  Author's response    Manuscript
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Short summary
We evaluated the soil carbon stock estimates of Yasso07, Q, and CENTURY soil carbon models, used in national greenhouse gas inventories in Europe, Japan, and USA, with soil carbon stock measurements from Swedish Forest Soil National Inventories. Measurements grouped according to the gradient of soil nutrient status revealed that the models underestimated for the Swedish boreal forest soils with higher site fertility. We discussed mechanisms of underestimation and further model developments.
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