Articles | Volume 19, issue 7
https://doi.org/10.5194/cp-19-1531-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/cp-19-1531-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Jul 2023
Research article |
| 27 Jul 2023
| 27 Jul 2023
The challenge of comparing pollen-based quantitative vegetation reconstructions with outputs from vegetation models – a European perspective
Anne Dallmeyer
CORRESPONDING AUTHOR
Max Planck Institute for Meteorology, Bundesstrasse 53, 20146
Hamburg, Germany
Anneli Poska
Department of Geology, Tallinn University of Technology, Ehitajate
tee 5, 19086 Tallinn, Estonia
Department of Physical Geography and Ecosystem Science, Lund
University, Sölvegatan 12, 223 62 Lund, Sweden
Laurent Marquer
Department of Botany, University of Innsbruck, Sternwartestrasse 15, 6020 Innsbruck, Austria
Andrea Seim
Department of Botany, University of Innsbruck, Sternwartestrasse 15, 6020 Innsbruck, Austria
Institute of Forest Sciences, Chair of Forest Growth and Dendroecology, University of Freiburg, 79106 Freiburg, Germany
Marie-José Gaillard
Department of Biology and Environmental Science, Linnaeus University, Barlastgatan 11, 39182 Kalmar, Sweden
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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.
We compare past tree cover changes in Europe during the last 8000 years simulated with two...
