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Lookup NU author(s): Emeritus Professor Tony Stevenson
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2023 by the authors.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.
Author(s): Serge MA, Mazier F, Fyfe R, Gaillard M-J, Klein T, Lagnoux A, Galop D, Githumbi E, Mindrescu M, Nielsen AB, Trondman A-K, Poska A, Sugita S, Woodbridge J, Abel-Schaad D, Akesson C, Alenius T, Ammann B, Andersen ST, Anderson RS, Andric M, Balakauskas L, Barnekow L, Batalova V, Bergman J, Birks HJB, Bjorkman L, Bjune AE, Borisova O, Broothaerts N, Carrion J, Caseldine C, Christiansen J, Cui Q, Curras A, Czerwinski S, David R, Davies AL, De Jong R, Di Rita F, Dietre B, Dorfler W, Doyen E, Edwards KJ, Ejarque A, Endtmann E, Etienne D, Faure E, Feeser I, Feurdean A, Fischer E, Fletcher W, Franco-Mugica F, Fredh ED, Froyd C, Garces-Pastor S, Garcia-Moreiras I, Gauthier E, Gil-Romera G, Gonzalez-Samperiz P, Grant MJ, Grindean R, Haas JN, Hannon G, Heather A-J, Heikkila M, Hjelle K, Jahns S, Jasiunas N, Jimenez-Moreno G, Jouffroy-Bapicot I, Kabailiene M, Kamerling IM, Kangur M, Karpinska-Kolaczek M, Kasianova A, Kolaczek P, Lageras P, Latalowa M, Lechterbeck J, Leroyer C, Leydet M, Lindbladh M, Lisitsyna O, Lopez-Saez J-A, Lowe J, Luelmo-Lautenschlaeger R, Lukanina E, Macijauskaite L, Magri D, Marguerie D, Marquer L, Martinez-Cortizas A, Mehl I, Mesa-Fernandez JM, Mighall T, Miola A, Miras Y, Morales-Molino C, Mrotzek A, Sobrino CM, Odgaard B, Ozola I, Perez-Diaz S, Perez-Obiol RP, Poggi C, Rego PR, Ramos-Roman MJ, Rasmussen P, Reille M, Rosch M, Ruffaldi P, Goni MS, Savukyniene N, Schroder T, Schult M, Segerstrom U, Seppa H, Vives GS, Shumilovskikh L, Smettan HW, Stancikaite M, Stevenson AC, Stivrins N, Tantau I, Theuerkauf M, Tonkov S, van der Knaap WO, van Leeuwen JFN, Vecmane E, Verstraeten G, Veski S, Voigt R, Von Stedingk H, Waller MP, Wiethold J, Willis KJ, Wolters S, Zernitskaya VP
Publication type: Article
Publication status: Published
Journal: Land
Year: 2023
Volume: 12
Issue: 5
Print publication date: 01/05/2023
Online publication date: 29/04/2023
Acceptance date: 22/04/2023
Date deposited: 12/06/2023
ISSN (electronic): 2073-445X
Publisher: MDPI
URL: https://doi.org/10.3390/land12050986
DOI: 10.3390/land12050986
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