Articles | Volume 15, issue 17
Model description paper
09 Sep 2022
Model description paper |  | 09 Sep 2022

FORCCHN V2.0: an individual-based model for predicting multiscale forest carbon dynamics

Jing Fang, Herman H. Shugart, Feng Liu, Xiaodong Yan, Yunkun Song, and Fucheng Lv


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-49', Anonymous Referee #1, 06 May 2022
    • AC1: 'Reply on RC1', Jing Fang, 29 Jun 2022
  • RC2: 'Comment on egusphere-2022-49', Anonymous Referee #2, 01 Jun 2022
    • AC2: 'Reply on RC2', Jing Fang, 29 Jun 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Jing Fang on behalf of the Authors (06 Jul 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (08 Jul 2022) by Tomomichi Kato
RR by Anonymous Referee #2 (01 Aug 2022)
ED: Publish as is (22 Aug 2022) by Tomomichi Kato
AR by Jing Fang on behalf of the Authors (23 Aug 2022)  Manuscript 
Short summary
Our study provided a detailed description and a package of an individual tree-based carbon model, FORCCHN2. This model used non-structural carbohydrate (NSC) pools to couple tree growth and phenology. The model could reproduce daily carbon fluxes across Northern Hemisphere forests. Given the potential importance of the application of this model, there is substantial scope for using FORCCHN2 in fields as diverse as forest ecology, climate change, and carbon estimation.