Articles | Volume 17, issue 7
Development and technical paper
04 Apr 2024
Development and technical paper |  | 04 Apr 2024

A new temperature–photoperiod coupled phenology module in LPJ-GUESS model v4.1: optimizing estimation of terrestrial carbon and water processes

Shouzhi Chen, Yongshuo H. Fu, Mingwei Li, Zitong Jia, Yishuo Cui, and Jing Tang


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2023-212', Anonymous Referee #1, 06 Dec 2023
    • AC1: 'Reply on RC1', Shouzhi Chen, 22 Dec 2023
  • CEC1: 'Comment on gmd-2023-212', Juan Antonio Añel, 20 Dec 2023
    • AC2: 'Reply on CEC1', Shouzhi Chen, 22 Dec 2023
  • RC2: 'Comment on gmd-2023-212', Anonymous Referee #2, 16 Jan 2024
    • AC3: 'Reply on RC2', Shouzhi Chen, 25 Jan 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Shouzhi Chen on behalf of the Authors (06 Feb 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (14 Feb 2024) by Danilo Mello
RR by Anonymous Referee #3 (25 Feb 2024)
RR by Anonymous Referee #1 (25 Feb 2024)
ED: Publish as is (04 Mar 2024) by Danilo Mello
AR by Shouzhi Chen on behalf of the Authors (07 Mar 2024)  Author's response   Manuscript 
Short summary
It is still a challenge to achieve an accurate simulation of vegetation phenology in the dynamic global vegetation models (DGVMs). We implemented and coupled the spring and autumn phenology models into one of the DGVMs, LPJ-GUESS, and substantially improved the accuracy in capturing the start and end dates of growing seasons. Our study highlights the importance of getting accurate phenology estimations to reduce the uncertainties in plant distribution and terrestrial carbon and water cycling.