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

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

Land, Volume: 12, Issue: 5, Start page: 986

Swansea University Author: Cynthia Froyd Orcid Logo

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DOI (Published version): 10.3390/land12050986

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...

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Published in: Land
ISSN: 2073-445X
Published: MDPI AG
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URI: https://cronfa.swan.ac.uk/Record/cronfa63538
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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.
Keywords: Europe; quantitative past land cover; Holocene; pollen data; REVEALS model; relative pollen productivity; validation
College: Faculty of Science and Engineering
Funders: This research was funded by the TERRANOVA Project, H2020 Marie Sklodowska-Curie grant agreement no. 813904.
Issue: 5
Start Page: 986