Landscape analysis of soil methane flux across complex terrain

Kaiser, Kendra E.; McGlynn, Brian L.; Dore, John E.

doi:https://doi.org/10.5194/bg-15-3143-2018

Articles | Volume 15, issue 10

https://doi.org/10.5194/bg-15-3143-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/bg-15-3143-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 10

Research article

|

25 May 2018

Research article |

| 25 May 2018

Landscape analysis of soil methane flux across complex terrain

Kendra E. Kaiser, Brian L. McGlynn, and John E. Dore

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Final revised paper (published on 25 May 2018)
Preprint (discussion started on 15 Jan 2018)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'A review of 'Landscape analysis of soil methane flux across complex terrain' by Kaiser et al.', Anonymous Referee #1, 07 Feb 2018
- AC1: 'Response to referees', Kendra Kaiser, 15 Mar 2018
RC2: 'Interactive comment on “Landscape analysis of soil methane flux across complex terrain” by Kendra E. Kaiser et al.', Anonymous Referee #2, 11 Feb 2018
- AC1: 'Response to referees', Kendra Kaiser, 15 Mar 2018

Peer-review completion

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

ED: Reconsider after major revisions (17 Apr 2018) by Edzo Veldkamp

AR by Kendra Kaiser on behalf of the Authors (17 Apr 2018) Author's response Manuscript

ED: Publish as is (27 Apr 2018) by Edzo Veldkamp

Short summary

Soil methane (CH₄) fluxes are highly variable across natural landscapes, yet research on the variability of fluxes in unsaturated soils has not been as prevalent as in saturated portions of the landscape. In this study we measured CH₄ fluxes and environmental variables across a small mountainous watershed in central Montana. We found that CH₄ consumption in upland soils increased as the watershed became more dry and that a combination of terrain metrics can represent 47 % of the variability.