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Biogeosciences An interactive open-access journal of the European Geosciences Union
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BG | Articles | Volume 17, issue 5
Biogeosciences, 17, 1293–1308, 2020
https://doi.org/10.5194/bg-17-1293-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Biogeosciences, 17, 1293–1308, 2020
https://doi.org/10.5194/bg-17-1293-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 13 Mar 2020

Research article | 13 Mar 2020

Leveraging the signature of heterotrophic respiration on atmospheric CO2 for model benchmarking

Samantha J. Basile 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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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (12 Jan 2020) by Martin De Kauwe
AR by Samantha Basile on behalf of the Authors (25 Jan 2020)  Author's response    Manuscript
ED: Publish as is (28 Jan 2020) by Martin De Kauwe

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Samantha Basile on behalf of the Authors (06 Mar 2020)   Author's adjustment   Manuscript
EA: Adjustments approved (10 Mar 2020) by Martin De Kauwe
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Short summary
Soil heterotrophic respiration (HR) is an important component of land–atmosphere carbon exchange but is difficult to observe globally. We analyzed the imprint that this flux leaves on atmospheric CO2 using a set of simulations from HR models with common inputs. Models that represent microbial processes are more variable and have stronger temperature sensitivity than those that do not. Our results show that we can use atmospheric CO2 observations to evaluate and improve models of HR.
Soil heterotrophic respiration (HR) is an important component of land–atmosphere carbon exchange...
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