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

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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Autores: Serge, M. A., Mazier, F., Fyfe, R., Gaillard, M.-J., Klein, Antonio, Lagnoux, A., Galop, D., Githumbi, E., Mindrescu, M., Nielsen, A. B., Trondman, A.-K., Poska, A., Sugita, S., Woodbridge, J., Abel-Schaad, Daniel, Åkesson, C., Alenius, T., Ammann, B., Pérez Díaz, Sebastián|||0000-0002-2702-0058, Pérez Obiol, Ramón
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universidad de Cantabria (UC)
Repositorio:UCrea Repositorio Abierto de la Universidad de Cantabria
Idioma:inglés
OAI Identifier:oai:repositorio.unican.es:10902/30163
Acceso en línea:https://hdl.handle.net/10902/30163
Access Level:acceso abierto
Palabra clave:Europe
Quantitative past land cover
Holocene
Pollen data
REVEALS model
Relative pollen productivity
Validation
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spelling Testing the Effect of Relative Pollen Productivity on the REVEALS Model: A Validated Reconstruction of Europe-Wide Holocene VegetationSerge, M. A.Mazier, F.Fyfe, R.Gaillard, M.-J.Klein, AntonioLagnoux, A.Galop, D.Githumbi, E.Mindrescu, M.Nielsen, A. B.Trondman, A.-K.Poska, A.Sugita, S.Woodbridge, J.Abel-Schaad, DanielÅkesson, C.Alenius, T.Ammann, B.Pérez Díaz, Sebastián|||0000-0002-2702-0058Pérez Obiol, RamónEuropeQuantitative past land coverHolocenePollen dataREVEALS modelRelative pollen productivityValidationReliable 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 1º × 1º) 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.This research was funded by the TERRANOVA Project, H2020 Marie Sklodowska-Curie grant agreement no. 813904MDPIUniversidad de Cantabria20232023-01-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articlehttps://hdl.handle.net/10902/30163Land, 2023, 12, 986reponame:UCrea Repositorio Abierto de la Universidad de Cantabriainstname:Universidad de Cantabria (UC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositorio.unican.es:10902/301632026-06-02T12:39:31Z
dc.title.none.fl_str_mv Testing the Effect of Relative Pollen Productivity on the REVEALS Model: A Validated Reconstruction of Europe-Wide Holocene Vegetation
title Testing the Effect of Relative Pollen Productivity on the REVEALS Model: A Validated Reconstruction of Europe-Wide Holocene Vegetation
spellingShingle Testing the Effect of Relative Pollen Productivity on the REVEALS Model: A Validated Reconstruction of Europe-Wide Holocene Vegetation
Serge, M. A.
Europe
Quantitative past land cover
Holocene
Pollen data
REVEALS model
Relative pollen productivity
Validation
title_short Testing the Effect of Relative Pollen Productivity on the REVEALS Model: A Validated Reconstruction of Europe-Wide Holocene Vegetation
title_full Testing the Effect of Relative Pollen Productivity on the REVEALS Model: A Validated Reconstruction of Europe-Wide Holocene Vegetation
title_fullStr Testing the Effect of Relative Pollen Productivity on the REVEALS Model: A Validated Reconstruction of Europe-Wide Holocene Vegetation
title_full_unstemmed Testing the Effect of Relative Pollen Productivity on the REVEALS Model: A Validated Reconstruction of Europe-Wide Holocene Vegetation
title_sort Testing the Effect of Relative Pollen Productivity on the REVEALS Model: A Validated Reconstruction of Europe-Wide Holocene Vegetation
dc.creator.none.fl_str_mv Serge, M. A.
Mazier, F.
Fyfe, R.
Gaillard, M.-J.
Klein, Antonio
Lagnoux, A.
Galop, D.
Githumbi, E.
Mindrescu, M.
Nielsen, A. B.
Trondman, A.-K.
Poska, A.
Sugita, S.
Woodbridge, J.
Abel-Schaad, Daniel
Åkesson, C.
Alenius, T.
Ammann, B.
Pérez Díaz, Sebastián|||0000-0002-2702-0058
Pérez Obiol, Ramón
author Serge, M. A.
author_facet Serge, M. A.
Mazier, F.
Fyfe, R.
Gaillard, M.-J.
Klein, Antonio
Lagnoux, A.
Galop, D.
Githumbi, E.
Mindrescu, M.
Nielsen, A. B.
Trondman, A.-K.
Poska, A.
Sugita, S.
Woodbridge, J.
Abel-Schaad, Daniel
Åkesson, C.
Alenius, T.
Ammann, B.
Pérez Díaz, Sebastián|||0000-0002-2702-0058
Pérez Obiol, Ramón
author_role author
author2 Mazier, F.
Fyfe, R.
Gaillard, M.-J.
Klein, Antonio
Lagnoux, A.
Galop, D.
Githumbi, E.
Mindrescu, M.
Nielsen, A. B.
Trondman, A.-K.
Poska, A.
Sugita, S.
Woodbridge, J.
Abel-Schaad, Daniel
Åkesson, C.
Alenius, T.
Ammann, B.
Pérez Díaz, Sebastián|||0000-0002-2702-0058
Pérez Obiol, Ramón
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidad de Cantabria
dc.subject.none.fl_str_mv Europe
Quantitative past land cover
Holocene
Pollen data
REVEALS model
Relative pollen productivity
Validation
topic Europe
Quantitative past land cover
Holocene
Pollen data
REVEALS model
Relative pollen productivity
Validation
description 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 1º × 1º) 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.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10902/30163
url https://hdl.handle.net/10902/30163
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv Land, 2023, 12, 986
reponame:UCrea Repositorio Abierto de la Universidad de Cantabria
instname:Universidad de Cantabria (UC)
instname_str Universidad de Cantabria (UC)
reponame_str UCrea Repositorio Abierto de la Universidad de Cantabria
collection UCrea Repositorio Abierto de la Universidad de Cantabria
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300719

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