Articles | Volume 19, issue 6
Research article
31 Mar 2022
Research article |  | 31 Mar 2022

Predicting mangrove forest dynamics across a soil salinity gradient using an individual-based vegetation model linked with plant hydraulics

Masaya Yoshikai, Takashi Nakamura, Rempei Suwa, Sahadev Sharma, Rene Rollon, Jun Yasuoka, Ryohei Egawa, and Kazuo Nadaoka


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on bg-2021-255', Md Nabiul Islam Khan, 19 Oct 2021
    • AC1: 'Reply on CC1', Masaya Yoshikai, 26 Oct 2021
  • RC1: 'Comment on bg-2021-255', Anonymous Referee #1, 25 Oct 2021
    • AC2: 'Reply on RC1', Masaya Yoshikai, 23 Nov 2021
  • RC2: 'Comment on bg-2021-255', Anonymous Referee #2, 04 Nov 2021
    • AC3: 'Reply on RC2', Masaya Yoshikai, 23 Nov 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (09 Dec 2021) by Alexandra Konings
AR by Masaya Yoshikai on behalf of the Authors (13 Jan 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (22 Jan 2022) by Alexandra Konings
RR by Anonymous Referee #1 (08 Feb 2022)
ED: Publish subject to technical corrections (23 Feb 2022) by Alexandra Konings
Short summary
This study presents a new individual-based vegetation model to investigate salinity control on mangrove productivity. The model incorporates plant hydraulics and tree competition and predicts unique and complex patterns of mangrove forest structures that vary across soil salinity gradients. The presented model does not hold an empirical expression of salinity influence on productivity and thus may provide a better understanding of mangrove forest dynamics in future climate change.
Final-revised paper