Data from: Network analysis by simulated annealing of taxa and islands of Macaronesia (North Atlantic Ocean)

With the aim of explaining the role that taxa and island features have in biogeographical patterns, we processed presence-absence matrices of all the Macaronesian native species of ten different taxa (arthropods, birds, bryophytes, fungi, lichens, mammals, mollusks, pteridophytes, reptiles and sperm...

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Main Authors: Torre, Giancarlo, Fernández Lugo, Silvia, Guarino, Riccardo, Fernández-Palacios, José María
Language:unknown
Published: 2018
Subjects:
Online Access:http://nbn-resolving.org/urn:nbn:nl:ui:13-l8-y5yv
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:112532
id ftdans:oai:easy.dans.knaw.nl:easy-dataset:112532
record_format openpolar
spelling ftdans:oai:easy.dans.knaw.nl:easy-dataset:112532 2023-07-02T03:33:08+02:00 Data from: Network analysis by simulated annealing of taxa and islands of Macaronesia (North Atlantic Ocean) Torre, Giancarlo Fernández Lugo, Silvia Guarino, Riccardo Fernández-Palacios, José María 2018-10-19T17:30:45.000+02:00 http://nbn-resolving.org/urn:nbn:nl:ui:13-l8-y5yv https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:112532 unknown doi:10.5061/dryad.v1q0524/1 doi:10.1111/ecog.03909 http://nbn-resolving.org/urn:nbn:nl:ui:13-l8-y5yv doi:10.5061/dryad.v1q0524 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:112532 OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf Life sciences medicine and health care 2018 ftdans https://doi.org/10.5061/dryad.v1q0524/110.1111/ecog.0390910.5061/dryad.v1q0524 2023-06-13T12:44:38Z With the aim of explaining the role that taxa and island features have in biogeographical patterns, we processed presence-absence matrices of all the Macaronesian native species of ten different taxa (arthropods, birds, bryophytes, fungi, lichens, mammals, mollusks, pteridophytes, reptiles and spermatophytes) through simulated annealing analysis. Distribution patterns among the archipelagos were pinpointed, along with the different biogeographic roles played by islands and species groups. All the networks analysed resulted to be significantly modular and the structure of biogeographic modules reflects known past connections among the archipelagos and the current drivers of species distribution. The role assigned to the species supports some biological (ecological amplitude, degree of endemicity) and functional (long-distance dispersal and persistence abilities) traits of their respective biota and justifies their position in recent models of biogeographical distribution. Whereas it was expected that the modules identified by the spermatophytes and arthropods would reflect the compartmentalization of archipelagos quite well, this was also the case for much more vagile taxa, such as fungi or lichens. Conversely, results obtained for pteridophytes and bryophytes suggest that for those taxa geographic distance and/or macroclimatic conditions are less important than the size, age and orography of an island to determine the modularity of island groups. On the other hand, dry, species-poor islets, act as connectors, tending to cluster together for different taxa, independently of their archipelagic adscription, whereas large, high, humid islands tend to form network or module hubs representing regional centers of speciation and dispersal. Other/Unknown Material North Atlantic Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen)
institution Open Polar
collection Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen)
op_collection_id ftdans
language unknown
topic Life sciences
medicine and health care
spellingShingle Life sciences
medicine and health care
Torre, Giancarlo
Fernández Lugo, Silvia
Guarino, Riccardo
Fernández-Palacios, José María
Data from: Network analysis by simulated annealing of taxa and islands of Macaronesia (North Atlantic Ocean)
topic_facet Life sciences
medicine and health care
description With the aim of explaining the role that taxa and island features have in biogeographical patterns, we processed presence-absence matrices of all the Macaronesian native species of ten different taxa (arthropods, birds, bryophytes, fungi, lichens, mammals, mollusks, pteridophytes, reptiles and spermatophytes) through simulated annealing analysis. Distribution patterns among the archipelagos were pinpointed, along with the different biogeographic roles played by islands and species groups. All the networks analysed resulted to be significantly modular and the structure of biogeographic modules reflects known past connections among the archipelagos and the current drivers of species distribution. The role assigned to the species supports some biological (ecological amplitude, degree of endemicity) and functional (long-distance dispersal and persistence abilities) traits of their respective biota and justifies their position in recent models of biogeographical distribution. Whereas it was expected that the modules identified by the spermatophytes and arthropods would reflect the compartmentalization of archipelagos quite well, this was also the case for much more vagile taxa, such as fungi or lichens. Conversely, results obtained for pteridophytes and bryophytes suggest that for those taxa geographic distance and/or macroclimatic conditions are less important than the size, age and orography of an island to determine the modularity of island groups. On the other hand, dry, species-poor islets, act as connectors, tending to cluster together for different taxa, independently of their archipelagic adscription, whereas large, high, humid islands tend to form network or module hubs representing regional centers of speciation and dispersal.
author Torre, Giancarlo
Fernández Lugo, Silvia
Guarino, Riccardo
Fernández-Palacios, José María
author_facet Torre, Giancarlo
Fernández Lugo, Silvia
Guarino, Riccardo
Fernández-Palacios, José María
author_sort Torre, Giancarlo
title Data from: Network analysis by simulated annealing of taxa and islands of Macaronesia (North Atlantic Ocean)
title_short Data from: Network analysis by simulated annealing of taxa and islands of Macaronesia (North Atlantic Ocean)
title_full Data from: Network analysis by simulated annealing of taxa and islands of Macaronesia (North Atlantic Ocean)
title_fullStr Data from: Network analysis by simulated annealing of taxa and islands of Macaronesia (North Atlantic Ocean)
title_full_unstemmed Data from: Network analysis by simulated annealing of taxa and islands of Macaronesia (North Atlantic Ocean)
title_sort data from: network analysis by simulated annealing of taxa and islands of macaronesia (north atlantic ocean)
publishDate 2018
url http://nbn-resolving.org/urn:nbn:nl:ui:13-l8-y5yv
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:112532
genre North Atlantic
genre_facet North Atlantic
op_relation doi:10.5061/dryad.v1q0524/1
doi:10.1111/ecog.03909
http://nbn-resolving.org/urn:nbn:nl:ui:13-l8-y5yv
doi:10.5061/dryad.v1q0524
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:112532
op_rights OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI
https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf
op_doi https://doi.org/10.5061/dryad.v1q0524/110.1111/ecog.0390910.5061/dryad.v1q0524
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