Articles | Volume 17, issue 7
Methods for assessment of models
12 Apr 2024
Methods for assessment of models |  | 12 Apr 2024

Inferring the tree regeneration niche from inventory data using a dynamic forest model

Yannek Käber, Florian Hartig, and Harald Bugmann


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-2114', Robert Schlicht, 09 Nov 2023
  • RC2: 'Comment on egusphere-2023-2114', Anonymous Referee #2, 18 Dec 2023
  • AC1: 'Response to reviewer comments', Yannek Käber, 31 Jan 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Yannek Käber on behalf of the Authors (31 Jan 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (31 Jan 2024) by Hisashi Sato
RR by Robert Schlicht (16 Feb 2024)
ED: Publish subject to technical corrections (16 Feb 2024) by Hisashi Sato
AR by Yannek Käber on behalf of the Authors (26 Feb 2024)  Author's response   Manuscript 
Short summary
Many forest models include detailed mechanisms of forest growth and mortality, but regeneration is often simplified. Testing and improving forest regeneration models is challenging. We address this issue by exploring how forest inventories from unmanaged European forests can be used to improve such models. We find that competition for light among trees is captured by the model, unknown model components can be informed by forest inventory data, and climatic effects are challenging to capture.