Articles | Volume 25, issue 8
Hydrol. Earth Syst. Sci., 25, 4259–4274, 2021
https://doi.org/10.5194/hess-25-4259-2021
Hydrol. Earth Syst. Sci., 25, 4259–4274, 2021
https://doi.org/10.5194/hess-25-4259-2021

Research article 03 Aug 2021

Research article | 03 Aug 2021

Plant hydraulic transport controls transpiration sensitivity to soil water stress

Brandon P. Sloan et al.

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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 hess-2020-671', Anonymous Referee #1, 14 Jan 2021
    • AC1: 'Reply to RC1', Brandon Sloan, 22 Mar 2021
  • RC2: 'Review on hess-2020-671', Anonymous Referee #2, 15 Jan 2021
    • AC2: 'Reply to RC2', Brandon Sloan, 22 Mar 2021
  • RC3: 'Comment on hess-2020-671', Stefano Manzoni, 27 Jan 2021
    • AC3: 'Reply to RC3', Brandon Sloan, 22 Mar 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (27 Mar 2021) by Marie-Claire ten Veldhuis
AR by Brandon Sloan on behalf of the Authors (22 Apr 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (25 Apr 2021) by Marie-Claire ten Veldhuis
RR by Anonymous Referee #1 (26 Apr 2021)
RR by Stefano Manzoni (04 May 2021)
ED: Publish subject to minor revisions (review by editor) (17 May 2021) by Marie-Claire ten Veldhuis
AR by Brandon Sloan on behalf of the Authors (10 Jun 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (16 Jun 2021) by Marie-Claire ten Veldhuis
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Short summary
Plants affect the global water and carbon cycles by modifying their water use and carbon intake in response to soil moisture. Global climate models represent this response with either simple empirical models or complex physical models. We reveal that the latter improves predictions in plants with large flow resistance; however, adding dependence on atmospheric moisture demand to the former matches performance of the latter, leading to a new tool for improving carbon and water cycle predictions.