Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline

Journals

Article Types

Countries / Regions

Search Results (1)

Search Parameters:
Authors = N. Broothaerts ORCID = 0000-0002-8605-9657

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
27 pages, 5988 KiB  
Article
Testing the Effect of Relative Pollen Productivity on the REVEALS Model: A Validated Reconstruction of Europe-Wide Holocene Vegetation
by M. A. Serge, 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 Anderson, M. 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 and V. P. Zernitskayaadd Show full author list remove Hide full author list
Land 2023, 12(5), 986; https://doi.org/10.3390/land12050986 - 29 Apr 2023
Cited by 27 | Viewed by 8414
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. [...] Read 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. Full article
(This article belongs to the Special Issue Pollen-Based Reconstruction of Holocene Land-Cover)
Show Figures

Figure 1

Back to TopTop