Articles | Volume 19, issue 7
Research article
27 Jul 2023
Research article |  | 27 Jul 2023

The challenge of comparing pollen-based quantitative vegetation reconstructions with outputs from vegetation models – a European perspective

Anne Dallmeyer, Anneli Poska, Laurent Marquer, Andrea Seim, and Marie-José Gaillard


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on cp-2023-16', Anonymous Referee #1, 02 May 2023
    • AC1: 'Reply on RC1', Anne Dallmeyer, 23 Jun 2023
  • RC2: 'Reviewer's comments on cp-2023-16', Anonymous Referee #2, 17 May 2023
    • AC2: 'Reply on RC2', Anne Dallmeyer, 23 Jun 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (review by editor) (26 Jun 2023) by Manuel Chevalier
AR by Anne Dallmeyer on behalf of the Authors (26 Jun 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (28 Jun 2023) by Manuel Chevalier
AR by Anne Dallmeyer on behalf of the Authors (03 Jul 2023)  Manuscript 
Short summary
We compare past tree cover changes in Europe during the last 8000 years simulated with two dynamic global vegetation models and inferred from pollen data. The major model–data mismatch is related to the much earlier onset of anthropogenic deforestation in the data compared to the prescribed land use in the models. We show that land use, and not climate, is the main driver of the Holocene forest decline. The model–data agreement depends on the model tuning, challenging model–data comparisons.