Journal cover Journal topic
Biogeosciences An interactive open-access journal of the European Geosciences Union
Biogeosciences, 13, 2111-2122, 2016
https://doi.org/10.5194/bg-13-2111-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
11 Apr 2016
An inversion approach for determining distribution of production and temperature sensitivity of soil respiration
Robyn N. C. Latimer and David A. Risk
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC C3932: 'reviewer comments', Anonymous Referee #1, 30 Jul 2015 Printer-friendly Version 
AC C6646: 'Author reply to reviewer 1 comments', Dave Risk, 18 Oct 2015 Printer-friendly Version Supplement 
 
RC C4129: 'The role of the assumed conceptual model', Per-Erik Jansson, 07 Aug 2015 Printer-friendly Version 
AC C6647: 'Author reply to comments.', Dave Risk, 18 Oct 2015 Printer-friendly Version Supplement 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (29 Oct 2015) by Andreas Ibrom  
AR by Dave Risk on behalf of the Authors (24 Jan 2016)  Author's response  Manuscript
ED: Publish subject to minor revisions (Editor review) (26 Jan 2016) by Andreas Ibrom  
AR by Dave Risk on behalf of the Authors (08 Feb 2016)  Author's response  Manuscript
ED: Publish as is (11 Feb 2016) by Andreas Ibrom  
CC BY 4.0
Publications Copernicus
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Short summary
This study examines an inversion approach for estimating Q10 and depth of production using a physically based soil model, constrained by observed high-frequency surface fluxes and/or five concentrations. Inversions using exclusively surface flux measurements were successful, but using multiple shallow subsurface CO2 measurements yielded the best results. This work is a first step toward building a reliable computing framework for removing physical artefacts from high-frequency soil CO2 data.
This study examines an inversion approach for estimating Q10 and depth of production using a...
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