Testing the Effect of Relative Pollen Productivity on the REVEALS Model: A Validated Reconstruction of Europe-Wide Holocene Vegetation

M. A. Serge* (Corresponding Author), F. Mazier, R. Fyfe, M. J. Gaillard, T. Klein, A. Lagnoux, D. Galop, E. Githumbi, M. Mindrescu, A. B. Nielsen, A. K. Trondman, A. Poska, S. Sugita, J. Woodbridge, D. Abel-Schaad, C. Åkesson, T. Alenius, B. Ammann, S. T. Andersen, R. Scott AndersonM. Andrič, L. Balakauskas, L. Barnekow, V. Batalova, J. Bergman, H. John B. Birks, L. Björkman, A. E. Bjune, O. Borisova, N. Broothaerts, J. Carrion, C. Caseldine, J. Christiansen, Q. Cui, A. Currás, S. Czerwiński, R. David, A. L. Davies, R. De Jong, F. Di Rita, B. Dietre, W. Dörfler, E. Doyen, K. J. Edwards, A. Ejarque, E. Endtmann, D. Etienne, E. Faure, I. Feeser, A. Feurdean, E. Fischer, W. Fletcher, F. Franco-Múgica, E. D. Fredh, C. Froyd, S. Garcés-Pastor, I. García-Moreiras, E. Gauthier, G. Gil-Romera, P. González-Sampériz, M. J. Grant, R. Grindean, J. N. Haas, G. Hannon, A. J. Heather, M. Heikkilä, K. Hjelle, S. Jahns, N. Jasiunas, G. Jiménez-Moreno, I. Jouffroy-Bapicot, M. Kabailienė, I. M. Kamerling, M. Kangur, M. Karpińska-Kołaczek, A. Kasianova, P. Kołaczek, P. Lagerås, M. Latalowa, J. Lechterbeck, C. Leroyer, M. Leydet, M. Lindbladh, O. Lisitsyna, J. A. López-Sáez, John Lowe, R. Luelmo-Lautenschlaeger, E. Lukanina, L. Macijauskaitė, D. Magri, D. Marguerie, L. Marquer, A. Martinez-Cortizas, I. Mehl, J. M. Mesa-Fernández, T. Mighall, A. Miola, Y. Miras, C. Morales-Molino, A. Mrotzek, C. Muñoz Sobrino, B. Odgaard, I. Ozola, S. Pérez-Díaz, R. P. Pérez-Obiol, C. Poggi, P. Ramil Rego, M. J. Ramos-Román, P. Rasmussen, M. Reille, M. Rösch, P. Ruffaldi, M. Sanchez Goni, N. Savukynienė, T. Schröder, M. Schult, U. Segerström, H. Seppä, G. Servera Vives, L. Shumilovskikh, H. W. Smettan, M. Stancikaite, A. C. Stevenson, N. Stivrins, I. Tantau, M. Theuerkauf, S. Tonkov, W. O. van der Knaap, J. F.N. van Leeuwen, E. Vecmane, G. Verstraeten, S. Veski, R. Voigt, H. Von Stedingk, M. P. Waller, J. Wiethold, K. J. Willis, S. Wolters, V. P. Zernitskaya

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

Reliable quantitative vegetation reconstructions for Europe during the Holocene are crucial to improving our understanding of landscape dynamics, making it possible to assess the past effects of environmental variables and land-use change on ecosystems and biodiversity, and mitigating their effects in the future. We present here the most spatially extensive and temporally continuous pollen-based reconstructions of plant cover in Europe (at a spatial resolution of 1° × 1°) over the Holocene (last 11.7 ka BP) using the ‘Regional Estimates of VEgetation Abundance from Large Sites’ (REVEALS) model. This study has three main aims. First, to present the most accurate and reliable generation of REVEALS reconstructions across Europe so far. This has been achieved by including a larger number of pollen records compared to former analyses, in particular from the Mediterranean area. Second, to discuss methodological issues in the quantification of past land cover by using alternative datasets of relative pollen productivities (RPPs), one of the key input parameters of REVEALS, to test model sensitivity. Finally, to validate our reconstructions with the global forest change dataset. The results suggest that the RPPs.st1 (31 taxa) dataset is best suited to producing regional vegetation cover estimates for Europe. These reconstructions offer a long-term perspective providing unique possibilities to explore spatial-temporal changes in past land cover and biodiversity.

Original languageEnglish
Article number986
JournalLand
Volume12
Issue number5
Early online date29 Apr 2023
DOIs
Publication statusPublished - May 2023

Bibliographical note

Funding Information:
This research was funded by the TERRANOVA Project, H2020 Marie Sklodowska-Curie grant agreement no. 813904.

Funding Information:
The work was supported by the project TERRANOVA, the European Landscape Learning Initiative, which has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement no. 813904. The output reflects the views of the authors only, and the European Union cannot be held responsible for any use that may be made of the information contained therein. This study is also a contribution to the Past Global Change (PAGES) project and its working group LandCover6k ( http://pastglobalchanges.org/landcover6k , accessed on 24 April 2023) that in turn received support from the Swiss National Science Foundation, the Swiss Academy of Sciences, the U.S. National Science Foundation, and the Chinese Academy of Sciences. M.-J. Gaillard acknowledges the financial support from Linnaeus University’s Faculty of Health and Life Science and the Swedish strategic research area MERGE (ModEling the Regional and Global Earth system; www.merge.lu.se , accessed on 24 April 2023). Anneli Poska was supported by the project TrackLag, Tracking the time-lags of species response to environmental change using palaeo-proxy data and modelling (ETF grant PRG323).

Publisher Copyright:
© 2023 by the authors.

Data Availability Statement

1 Serge, M.A.; Fyfe, R.; Gaillard, M.-J.; Klein, T.; Lagnoux, A.; Galop, D.; Githumbi, E.; Mindrescu, M.; Nielsen, A.-B.; Trondman, A.-K.; Poska, A.; Sugita, S.; Woodbridge, J.; TERRANOVA, contributors; Mazier, F. Spatially extensive and temporally continuous three REVEALS pollen-based vegetation reconstructions in Europe over the Holocene. 1 Laboratoire Géographie de l’Environnement, UMR 5602, CNRS, Université de Toulouse-Jean Jaurès, Toulouse, France; data.InDoRES, V1, https://doi.org/10.48579/PRO/J5GZUO (accessed on 24 April 2023). Computer Code and Software: This study uses the original R-code available on https://github.com/petrkunes/LRA (last version v0.1.0, 8 December 2020, accessed on 24 April 2023) developed for the LandClim II project (Swedish Research Council, VR; PI: M.-J. Gaillard) and suitable for this study; examples are available on https://github.com/rmfyfe/landclimII (last version, 12 August 2021, accessed on 24 April 2023).

Keywords

  • Europe
  • Holocene
  • pollen data
  • quantitative past land cover
  • relative pollen productivity
  • REVEALS model
  • validation

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