Global satellite-driven estimates of heterotrophic respiration

Konings, Alexandra G.; Bloom, A. Anthony; Liu, Junjie; Parazoo, Nicholas C.; Schimel, David S.; Bowman, Kevin W.

doi:https://doi.org/10.5194/bg-16-2269-2019

Articles | Volume 16, issue 11

https://doi.org/10.5194/bg-16-2269-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/bg-16-2269-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 11

Research article

|

04 Jun 2019

Research article |

| 04 Jun 2019

Global satellite-driven estimates of heterotrophic respiration

Alexandra G. Konings, A. Anthony Bloom, Junjie Liu, Nicholas C. Parazoo, David S. Schimel, and Kevin W. Bowman

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Final revised paper (published on 04 Jun 2019)
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Preprint (discussion started on 15 Nov 2018)
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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: 'Interesting approach, though considerable uncertainty remains', Anonymous Referee #1, 05 Dec 2018
- AC1: 'Responses to comments from reviewer 1', Alexandra Konings, 07 Mar 2019
RC2: 'Is heterotrophic respiration at 4° x 5° useful?', Anonymous Referee #2, 14 Feb 2019
- AC2: 'Response to comments from reviewer 2', Alexandra Konings, 07 Mar 2019

Peer-review completion

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

ED: Reconsider after major revisions (09 Mar 2019) by Alexey V. Eliseev

AR by Alexandra Konings on behalf of the Authors (04 Apr 2019) Author's response Manuscript

ED: Referee Nomination & Report Request started (04 Apr 2019) by Alexey V. Eliseev

RR by Anonymous Referee #2 (30 Apr 2019)

RR by Anonymous Referee #1 (08 May 2019)

ED: Publish subject to technical corrections (10 May 2019) by Alexey V. Eliseev

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Short summary

We estimate heterotrophic respiration (R_h) – the respiration from microbes in the soil – using satellite estimates of the net carbon flux and other quantities. R_h is an important carbon flux but is rarely studied by itself. Our method is the first to estimate how R_h varies in both space and time. The resulting new estimate of R_h is compared to the best currently available alternative, which is based on interpolating field measurements globally. The two estimates disagree and are both uncertain.