Biogeochemical and plant trait mechanisms drive enhanced methane emissions in response to whole-ecosystem warming

Noyce, Genevieve L.; Megonigal, J. Patrick

doi:https://doi.org/10.5194/bg-18-2449-2021

Articles | Volume 18, issue 8

https://doi.org/10.5194/bg-18-2449-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/bg-18-2449-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 8

Research article

|

19 Apr 2021

Research article |

| 19 Apr 2021

Biogeochemical and plant trait mechanisms drive enhanced methane emissions in response to whole-ecosystem warming

Genevieve L. Noyce and J. Patrick Megonigal

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Final revised paper (published on 19 Apr 2021)
Supplement to the final revised paper
Preprint (discussion started on 25 Nov 2020)
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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: 'Review of Biogeochemical and plant trait mechanisms drive enhanced methane emissions in response to whole-ecosystem warming', Anonymous Referee #1, 10 Dec 2020
- AC1: 'Reply to RC1', Genevieve Noyce, 29 Jan 2021
RC2: 'review', Anonymous Referee #2, 15 Jan 2021
- AC2: 'Reply to RC2', Genevieve Noyce, 29 Jan 2021

Peer-review completion

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

ED: Reconsider after major revisions (10 Feb 2021) by Edzo Veldkamp

AR by Genevieve Noyce on behalf of the Authors (22 Feb 2021) Author's response Author's tracked changes Manuscript

ED: Publish as is (09 Mar 2021) by Edzo Veldkamp

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Short summary

Methane (CH₄) is a potent greenhouse gas that contributes to global radiative forcing. A mechanistic understanding of how wetland CH₄ cycling will respond to global warming is crucial for improving prognostic models. We present results from the first 4 years of a novel whole-ecosystem warming experiment in a coastal wetland, showing that warming increases CH4 emissions and identifying four potential mechanisms that can be added to future modeling efforts.