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

Serge, M. A. ; Mazier, F. ; Fyfe, R. ; Gaillard, M. J. ; Klein, T. ; Lagnoux, A. ; Galop, D. ; Githumbi, E. LU ; Mindrescu, M. and Nielsen, A. B. LU orcid , et al. (2023) In Land 12(5).
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.... (More)

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.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Europe, Holocene, pollen data, quantitative past land cover, relative pollen productivity, REVEALS model, validation
in
Land
volume
12
issue
5
article number
986
publisher
MDPI AG
external identifiers
  • scopus:85160569864
ISSN
2073-445X
DOI
10.3390/land12050986
language
English
LU publication?
yes
id
a385cb8c-397b-43fb-a86e-8715e7aba8ff
date added to LUP
2023-06-15 18:08:29
date last changed
2024-01-05 02:38:37
@article{a385cb8c-397b-43fb-a86e-8715e7aba8ff,
  abstract     = {{<p>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.</p>}},
  author       = {{Serge, M. A. and Mazier, F. and Fyfe, R. and Gaillard, M. J. and Klein, T. and Lagnoux, A. and Galop, D. and Githumbi, E. and Mindrescu, M. and Nielsen, A. B. and Trondman, A. K. and Poska, A. and Sugita, S. and Woodbridge, J. and Abel-Schaad, D. and Åkesson, C. and Alenius, T. and Ammann, B. and Andersen, S. T. and Anderson, R. Scott and Andrič, M. and Balakauskas, L. and Barnekow, L. and Batalova, V. and Bergman, J. and Birks, H. John B. and Björkman, L. and Bjune, A. E. and Borisova, O. and Broothaerts, N. and Carrion, J. and Caseldine, C. and Christiansen, J. and Cui, Q. and Currás, A. and Czerwiński, S. and David, R. and Davies, A. L. and De Jong, R. and Di Rita, F. and Dietre, B. and Dörfler, W. and Doyen, E. and Edwards, K. J. and Ejarque, A. and Endtmann, E. and Etienne, D. and Faure, E. and Feeser, I. and Feurdean, A. and Fischer, E. and Fletcher, W. and Franco-Múgica, F. and Fredh, E. D. and Froyd, C. and Garcés-Pastor, S. and García-Moreiras, I. and Gauthier, E. and Gil-Romera, G. and González-Sampériz, P. and Grant, M. J. and Grindean, R. and Haas, J. N. and Hannon, G. and Heather, A. J. and Heikkilä, M. and Hjelle, K. and Jahns, S. and Jasiunas, N. and Jiménez-Moreno, G. and Jouffroy-Bapicot, I. and Kabailienė, M. and Kamerling, I. M. and Kangur, M. and Karpińska-Kołaczek, M. and Kasianova, A. and Kołaczek, P. and Lagerås, P. and Latalowa, M. and Lechterbeck, J. and Leroyer, C. and Leydet, M. and Lindbladh, M. and Lisitsyna, O. and López-Sáez, J. A. and Lowe, John and Luelmo-Lautenschlaeger, R. and Lukanina, E. and Macijauskaitė, L. and Magri, D. and Marguerie, D. and Marquer, L. and Martinez-Cortizas, A. and Mehl, I. and Mesa-Fernández, J. M. and Mighall, T. and Miola, A. and Miras, Y. and Morales-Molino, C. and Mrotzek, A. and Sobrino, C. Muñoz and Odgaard, B. and Ozola, I. and Pérez-Díaz, S. and Pérez-Obiol, R. P. and Poggi, C. and Rego, P. Ramil and Ramos-Román, M. J. and Rasmussen, P. and Reille, M. and Rösch, M. and Ruffaldi, P. and Goni, M. Sanchez and Savukynienė, N. and Schröder, T. and Schult, M. and Segerström, U. and Seppä, H. and Vives, G. Servera and Shumilovskikh, L. and Smettan, H. W. and Stancikaite, M. and Stevenson, A. C. and Stivrins, N. and Tantau, I. and Theuerkauf, M. and Tonkov, S. and van der Knaap, W. O. and van Leeuwen, J. F.N. and Vecmane, E. and Verstraeten, G. and Veski, S. and Voigt, R. and Von Stedingk, H. and Waller, M. P. and Wiethold, J. and Willis, K. J. and Wolters, S. and Zernitskaya, V. P.}},
  issn         = {{2073-445X}},
  keywords     = {{Europe; Holocene; pollen data; quantitative past land cover; relative pollen productivity; REVEALS model; validation}},
  language     = {{eng}},
  number       = {{5}},
  publisher    = {{MDPI AG}},
  series       = {{Land}},
  title        = {{Testing the Effect of Relative Pollen Productivity on the REVEALS Model : A Validated Reconstruction of Europe-Wide Holocene Vegetation}},
  url          = {{http://dx.doi.org/10.3390/land12050986}},
  doi          = {{10.3390/land12050986}},
  volume       = {{12}},
  year         = {{2023}},
}