Cargando…

Modeling Species Distributions from Heterogeneous Data for the Biogeographic Regionalization of the European Bryophyte Flora

The definition of biogeographic regions provides a fundamental framework for a range of basic and applied questions in biogeography, evolutionary biology, systematics and conservation. Previous research suggested that environmental forcing results in highly congruent regionalization patterns across...

Descripción completa

Detalles Bibliográficos
Autores principales: Mateo, Rubén G., Vanderpoorten, Alain, Muñoz, Jesús, Laenen, Benjamin, Désamoré, Aurélie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3569459/
https://www.ncbi.nlm.nih.gov/pubmed/23409015
http://dx.doi.org/10.1371/journal.pone.0055648
_version_ 1782258911499255808
author Mateo, Rubén G.
Vanderpoorten, Alain
Muñoz, Jesús
Laenen, Benjamin
Désamoré, Aurélie
author_facet Mateo, Rubén G.
Vanderpoorten, Alain
Muñoz, Jesús
Laenen, Benjamin
Désamoré, Aurélie
author_sort Mateo, Rubén G.
collection PubMed
description The definition of biogeographic regions provides a fundamental framework for a range of basic and applied questions in biogeography, evolutionary biology, systematics and conservation. Previous research suggested that environmental forcing results in highly congruent regionalization patterns across taxa, but that the size and number of regions depends on the dispersal ability of the taxa considered. We produced a biogeographic regionalization of European bryophytes and hypothesized that (1) regions defined for bryophytes would differ from those defined for other taxa due to the highly specific eco-physiology of the group and (2) their high dispersal ability would result in the resolution of few, large regions. Species distributions were recorded using 10,000 km(2) MGRS pixels. Because of the lack of data across large portions of the area, species distribution models employing macroclimatic variables as predictors were used to determine the potential composition of empty pixels. K-means clustering analyses of the pixels based on their potential species composition were employed to define biogeographic regions. The optimal number of regions was determined by v-fold cross-validation and Moran’s I statistic. The spatial congruence of the regions identified from their potential bryophyte assemblages with large-scale vegetation patterns is at odds with our primary hypothesis. This reinforces the notion that post-glacial migration patterns might have been much more similar in bryophytes and vascular plants than previously thought. The substantially lower optimal number of clusters and the absence of nested patterns within the main biogeographic regions, as compared to identical analyses in vascular plants, support our second hypothesis. The modelling approach implemented here is, however, based on many assumptions that are discussed but can only be tested when additional data on species distributions become available, highlighting the substantial importance of developing integrated mapping projects for all taxa in key biogeographically areas of Europe, and the Mediterranean peninsulas in particular.
format Online
Article
Text
id pubmed-3569459
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-35694592013-02-13 Modeling Species Distributions from Heterogeneous Data for the Biogeographic Regionalization of the European Bryophyte Flora Mateo, Rubén G. Vanderpoorten, Alain Muñoz, Jesús Laenen, Benjamin Désamoré, Aurélie PLoS One Research Article The definition of biogeographic regions provides a fundamental framework for a range of basic and applied questions in biogeography, evolutionary biology, systematics and conservation. Previous research suggested that environmental forcing results in highly congruent regionalization patterns across taxa, but that the size and number of regions depends on the dispersal ability of the taxa considered. We produced a biogeographic regionalization of European bryophytes and hypothesized that (1) regions defined for bryophytes would differ from those defined for other taxa due to the highly specific eco-physiology of the group and (2) their high dispersal ability would result in the resolution of few, large regions. Species distributions were recorded using 10,000 km(2) MGRS pixels. Because of the lack of data across large portions of the area, species distribution models employing macroclimatic variables as predictors were used to determine the potential composition of empty pixels. K-means clustering analyses of the pixels based on their potential species composition were employed to define biogeographic regions. The optimal number of regions was determined by v-fold cross-validation and Moran’s I statistic. The spatial congruence of the regions identified from their potential bryophyte assemblages with large-scale vegetation patterns is at odds with our primary hypothesis. This reinforces the notion that post-glacial migration patterns might have been much more similar in bryophytes and vascular plants than previously thought. The substantially lower optimal number of clusters and the absence of nested patterns within the main biogeographic regions, as compared to identical analyses in vascular plants, support our second hypothesis. The modelling approach implemented here is, however, based on many assumptions that are discussed but can only be tested when additional data on species distributions become available, highlighting the substantial importance of developing integrated mapping projects for all taxa in key biogeographically areas of Europe, and the Mediterranean peninsulas in particular. Public Library of Science 2013-02-11 /pmc/articles/PMC3569459/ /pubmed/23409015 http://dx.doi.org/10.1371/journal.pone.0055648 Text en © 2013 Mateo et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Mateo, Rubén G.
Vanderpoorten, Alain
Muñoz, Jesús
Laenen, Benjamin
Désamoré, Aurélie
Modeling Species Distributions from Heterogeneous Data for the Biogeographic Regionalization of the European Bryophyte Flora
title Modeling Species Distributions from Heterogeneous Data for the Biogeographic Regionalization of the European Bryophyte Flora
title_full Modeling Species Distributions from Heterogeneous Data for the Biogeographic Regionalization of the European Bryophyte Flora
title_fullStr Modeling Species Distributions from Heterogeneous Data for the Biogeographic Regionalization of the European Bryophyte Flora
title_full_unstemmed Modeling Species Distributions from Heterogeneous Data for the Biogeographic Regionalization of the European Bryophyte Flora
title_short Modeling Species Distributions from Heterogeneous Data for the Biogeographic Regionalization of the European Bryophyte Flora
title_sort modeling species distributions from heterogeneous data for the biogeographic regionalization of the european bryophyte flora
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3569459/
https://www.ncbi.nlm.nih.gov/pubmed/23409015
http://dx.doi.org/10.1371/journal.pone.0055648
work_keys_str_mv AT mateorubeng modelingspeciesdistributionsfromheterogeneousdataforthebiogeographicregionalizationoftheeuropeanbryophyteflora
AT vanderpoortenalain modelingspeciesdistributionsfromheterogeneousdataforthebiogeographicregionalizationoftheeuropeanbryophyteflora
AT munozjesus modelingspeciesdistributionsfromheterogeneousdataforthebiogeographicregionalizationoftheeuropeanbryophyteflora
AT laenenbenjamin modelingspeciesdistributionsfromheterogeneousdataforthebiogeographicregionalizationoftheeuropeanbryophyteflora
AT desamoreaurelie modelingspeciesdistributionsfromheterogeneousdataforthebiogeographicregionalizationoftheeuropeanbryophyteflora