Articles | Volume 20, issue 12
https://doi.org/10.5194/bg-20-2455-2023
https://doi.org/10.5194/bg-20-2455-2023
Research article
 | 
28 Jun 2023
Research article |  | 28 Jun 2023

Improved process representation of leaf phenology significantly shifts climate sensitivity of ecosystem carbon balance

Alexander J. Norton, A. Anthony Bloom, Nicholas C. Parazoo, Paul A. Levine, Shuang Ma, Renato K. Braghiere, and T. Luke Smallman

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-1265', Anonymous Referee #1, 26 Jan 2023
    • AC1: 'Reply on RC1', Alexander Norton, 27 Mar 2023
  • RC2: 'Comment on egusphere-2022-1265', Anonymous Referee #2, 24 Feb 2023
    • AC2: 'Reply on RC2', Alexander Norton, 27 Mar 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (review by editor) (19 Apr 2023) by Eyal Rotenberg
AR by Alexander Norton on behalf of the Authors (06 May 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (17 May 2023) by Eyal Rotenberg
AR by Alexander Norton on behalf of the Authors (22 May 2023)  Author's response   Manuscript 
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Short summary
This study explores how the representation of leaf phenology affects our ability to predict changes to the carbon balance of land ecosystems. We calibrate a new leaf phenology model against a diverse range of observations at six forest sites, showing that it improves the predictive capability of the processes underlying the ecosystem carbon balance. We then show how changes in temperature and rainfall affect the ecosystem carbon balance with this new model.
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