Convergent modelling of past soil organic carbon stocks but divergent projections

Luo, Z.; Wang, E.; Zheng, H.; Baldock, J. A.; Sun, O. J.; Shao, Q.

doi:https://doi.org/10.5194/bg-12-4373-2015

Articles | Volume 12, issue 14

https://doi.org/10.5194/bg-12-4373-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/bg-12-4373-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 12, issue 14

Research article

|

28 Jul 2015

Research article |

| 28 Jul 2015

Convergent modelling of past soil organic carbon stocks but divergent projections

Z. Luo, E. Wang, H. Zheng, J. A. Baldock, O. J. Sun, and Q. Shao

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Final revised paper (published on 28 Jul 2015)
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Preprint (discussion started on 10 Mar 2015)
Supplement to the preprint

Interactive discussion

Status: closed

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

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- Supplement

SC C1363: 'The curse of equifility', Göran Ågren, 17 Apr 2015
- AC C1510: 'Dispersion function: the importance of the transformation between carbon pools', Zhongkui Luo, 22 Apr 2015
RC C1369: 'Uncertainty in soil C projections', Anonymous Referee #1, 17 Apr 2015
SC C1433: 'Microbial biomass in soil', Hatem Ibrahim, 19 Apr 2015
- RC C1462: 'Review comments', Anonymous Referee #2, 20 Apr 2015
- AC C1512: 'Incorporating microbial processes into soil carbon models', Zhongkui Luo, 22 Apr 2015
- AC C1514: 'Incorporating microbial processes into soil carbon models', Zhongkui Luo, 22 Apr 2015

Peer-review completion

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

AR by Zhongkui Luo on behalf of the Authors (13 Jun 2015) Author's response

ED: Referee Nomination & Report Request started (18 Jun 2015) by Akihiko Ito

RR by Anonymous Referee #2 (26 Jun 2015)

ED: Publish subject to technical corrections (13 Jul 2015) by Akihiko Ito

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Short summary

Soil carbon models are primary tools for projecting soil carbon balance under changing environment and management. This study shows that the carbon model produces divergent projections but accurate reproduction of measured soil carbon. This projection uncertainty is mainly due to an insufficient understanding of microbial processes and soil carbon composition. Climate conditions and land management in terms of carbon input also have significant effects.