Articles | Volume 19, issue 2
Biogeosciences, 19, 541–558, 2022
https://doi.org/10.5194/bg-19-541-2022
Biogeosciences, 19, 541–558, 2022
https://doi.org/10.5194/bg-19-541-2022

Research article 28 Jan 2022

Research article | 28 Jan 2022

Resolving temperature limitation on spring productivity in an evergreen conifer forest using a model–data fusion framework

Stephanie G. Stettz 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 bg-2021-152', Anonymous Referee #1, 12 Jul 2021
  • RC2: 'Comment on bg-2021-152', Anonymous Referee #2, 19 Sep 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (26 Oct 2021) by Sönke Zaehle
AR by Stephanie G. Stettz on behalf of the Authors (07 Nov 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to minor revisions (review by editor) (11 Nov 2021) by Sönke Zaehle
AR by Stephanie G. Stettz on behalf of the Authors (24 Nov 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (10 Dec 2021) by Sönke Zaehle
AR by Stephanie G. Stettz on behalf of the Authors (13 Dec 2021)  Author's response    Manuscript
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Short summary
Uncertainty in the response of photosynthesis to temperature poses a major challenge to predicting the response of forests to climate change. In this paper, we study how photosynthesis in a mountainous evergreen forest is limited by temperature. This study highlights that cold temperature is a key factor that controls spring photosynthesis. Including the cold-temperature limitation in an ecosystem model improved its ability to simulate spring photosynthesis.
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