Articles | Volume 15, issue 22
Geosci. Model Dev., 15, 8153–8180, 2022
https://doi.org/10.5194/gmd-15-8153-2022
Geosci. Model Dev., 15, 8153–8180, 2022
https://doi.org/10.5194/gmd-15-8153-2022
Model description paper
14 Nov 2022
Model description paper | 14 Nov 2022

Modeling demographic-driven vegetation dynamics and ecosystem biogeochemical cycling in NASA GISS's Earth system model (ModelE-BiomeE v.1.0)

Ensheng Weng 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
  • CEC1: 'Comment on gmd-2022-72', Juan Antonio Añel, 21 Apr 2022
    • AC1: 'Reply on CEC1', Ensheng Weng, 25 Apr 2022
  • RC1: 'Comment on gmd-2022-72', Anonymous Referee #1, 23 Apr 2022
    • AC2: 'Reply on RC1', Ensheng Weng, 20 May 2022
  • RC2: 'Comment on gmd-2022-72', Anonymous Referee #2, 12 May 2022
    • AC3: 'Reply on RC2', Ensheng Weng, 20 May 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Ensheng Weng on behalf of the Authors (17 Jun 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (23 Aug 2022) by Tomomichi Kato
RR by Anonymous Referee #1 (27 Aug 2022)
RR by Anonymous Referee #2 (08 Sep 2022)
ED: Publish subject to minor revisions (review by editor) (08 Sep 2022) by Tomomichi Kato
AR by Ensheng Weng on behalf of the Authors (15 Sep 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (28 Sep 2022) by Tomomichi Kato

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Ensheng Weng on behalf of the Authors (07 Nov 2022)   Author's adjustment   Manuscript
EA: Adjustments approved (08 Nov 2022) by Tomomichi Kato
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Short summary
We develop a demographic vegetation model to improve the representation of terrestrial vegetation dynamics and ecosystem biogeochemical cycles in the Goddard Institute for Space Studies ModelE. The individual-based competition for light and soil resources makes the modeling of eco-evolutionary optimality possible. This model will enable ModelE to simulate long-term biogeophysical and biogeochemical feedbacks between the climate system and land ecosystems at decadal to centurial temporal scales.