A Holarctic Biogeographical Analysis of the Collembola (Arthropoda, Hexapoda) Unravels Recent Post-Glacial Colonization Patterns

We aimed to describe the main Arctic biogeographical patterns of the Collembola, and analyze historical factors and current climatic regimes determining Arctic collembolan species distribution. Furthermore, we aimed to identify possible dispersal routes, colonization sources and glacial refugia for...

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Published in:Insects
Main Authors: María Luisa Ávila-Jiménez, Stephen James Coulson
Format: Text
Language:English
Published: Molecular Diversity Preservation International 2011
Subjects:
Online Access:https://doi.org/10.3390/insects2030273
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spelling ftmdpi:oai:mdpi.com:/2075-4450/2/3/273/ 2023-08-20T04:02:02+02:00 A Holarctic Biogeographical Analysis of the Collembola (Arthropoda, Hexapoda) Unravels Recent Post-Glacial Colonization Patterns María Luisa Ávila-Jiménez Stephen James Coulson agris 2011-06-29 application/pdf https://doi.org/10.3390/insects2030273 EN eng Molecular Diversity Preservation International https://dx.doi.org/10.3390/insects2030273 https://creativecommons.org/licenses/by/3.0/ Insects; Volume 2; Issue 3; Pages: 273-296 dispersal colonization distribution range glacial refugia Gaussian mixture clustering Arctic Text 2011 ftmdpi https://doi.org/10.3390/insects2030273 2023-07-31T20:26:49Z We aimed to describe the main Arctic biogeographical patterns of the Collembola, and analyze historical factors and current climatic regimes determining Arctic collembolan species distribution. Furthermore, we aimed to identify possible dispersal routes, colonization sources and glacial refugia for Arctic collembola. We implemented a Gaussian Mixture Clustering method on species distribution ranges and applied a distance-based parametric bootstrap test on presence-absence collembolan species distribution data. Additionally, multivariate analysis was performed considering species distributions, biodiversity, cluster distribution and environmental factors (temperature and precipitation). No clear relation was found between current climatic regimes and species distribution in the Arctic. Gaussian Mixture Clustering found common elements within Siberian areas, Atlantic areas, the Canadian Arctic, a mid-Siberian cluster and specific Beringian elements, following the same pattern previously described, using a variety of molecular methods, for Arctic plants. Species distribution hence indicate the influence of recent glacial history, as LGM glacial refugia (mid-Siberia, and Beringia) and major dispersal routes to high Arctic island groups can be identified. Endemic species are found in the high Arctic, but no specific biogeographical pattern can be clearly identified as a sign of high Arctic glacial refugia. Ocean currents patterns are suggested as being an important factor shaping the distribution of Arctic Collembola, which is consistent with Antarctic studies in collembolan biogeography. The clear relations between cluster distribution and geographical areas considering their recent glacial history, lack of relationship of species distribution with current climatic regimes, and consistency with previously described Arctic patterns in a series of organisms inferred using a variety of methods, suggest that historical phenomena shaping contemporary collembolan distribution can be inferred through biogeographical ... Text Antarc* Antarctic Arctic Beringia Siberia MDPI Open Access Publishing Antarctic Arctic Arctic Island ENVELOPE(-74.766,-74.766,62.234,62.234) Insects 2 3 273 296
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic dispersal
colonization
distribution range
glacial refugia
Gaussian mixture clustering
Arctic
spellingShingle dispersal
colonization
distribution range
glacial refugia
Gaussian mixture clustering
Arctic
María Luisa Ávila-Jiménez
Stephen James Coulson
A Holarctic Biogeographical Analysis of the Collembola (Arthropoda, Hexapoda) Unravels Recent Post-Glacial Colonization Patterns
topic_facet dispersal
colonization
distribution range
glacial refugia
Gaussian mixture clustering
Arctic
description We aimed to describe the main Arctic biogeographical patterns of the Collembola, and analyze historical factors and current climatic regimes determining Arctic collembolan species distribution. Furthermore, we aimed to identify possible dispersal routes, colonization sources and glacial refugia for Arctic collembola. We implemented a Gaussian Mixture Clustering method on species distribution ranges and applied a distance-based parametric bootstrap test on presence-absence collembolan species distribution data. Additionally, multivariate analysis was performed considering species distributions, biodiversity, cluster distribution and environmental factors (temperature and precipitation). No clear relation was found between current climatic regimes and species distribution in the Arctic. Gaussian Mixture Clustering found common elements within Siberian areas, Atlantic areas, the Canadian Arctic, a mid-Siberian cluster and specific Beringian elements, following the same pattern previously described, using a variety of molecular methods, for Arctic plants. Species distribution hence indicate the influence of recent glacial history, as LGM glacial refugia (mid-Siberia, and Beringia) and major dispersal routes to high Arctic island groups can be identified. Endemic species are found in the high Arctic, but no specific biogeographical pattern can be clearly identified as a sign of high Arctic glacial refugia. Ocean currents patterns are suggested as being an important factor shaping the distribution of Arctic Collembola, which is consistent with Antarctic studies in collembolan biogeography. The clear relations between cluster distribution and geographical areas considering their recent glacial history, lack of relationship of species distribution with current climatic regimes, and consistency with previously described Arctic patterns in a series of organisms inferred using a variety of methods, suggest that historical phenomena shaping contemporary collembolan distribution can be inferred through biogeographical ...
format Text
author María Luisa Ávila-Jiménez
Stephen James Coulson
author_facet María Luisa Ávila-Jiménez
Stephen James Coulson
author_sort María Luisa Ávila-Jiménez
title A Holarctic Biogeographical Analysis of the Collembola (Arthropoda, Hexapoda) Unravels Recent Post-Glacial Colonization Patterns
title_short A Holarctic Biogeographical Analysis of the Collembola (Arthropoda, Hexapoda) Unravels Recent Post-Glacial Colonization Patterns
title_full A Holarctic Biogeographical Analysis of the Collembola (Arthropoda, Hexapoda) Unravels Recent Post-Glacial Colonization Patterns
title_fullStr A Holarctic Biogeographical Analysis of the Collembola (Arthropoda, Hexapoda) Unravels Recent Post-Glacial Colonization Patterns
title_full_unstemmed A Holarctic Biogeographical Analysis of the Collembola (Arthropoda, Hexapoda) Unravels Recent Post-Glacial Colonization Patterns
title_sort holarctic biogeographical analysis of the collembola (arthropoda, hexapoda) unravels recent post-glacial colonization patterns
publisher Molecular Diversity Preservation International
publishDate 2011
url https://doi.org/10.3390/insects2030273
op_coverage agris
long_lat ENVELOPE(-74.766,-74.766,62.234,62.234)
geographic Antarctic
Arctic
Arctic Island
geographic_facet Antarctic
Arctic
Arctic Island
genre Antarc*
Antarctic
Arctic
Beringia
Siberia
genre_facet Antarc*
Antarctic
Arctic
Beringia
Siberia
op_source Insects; Volume 2; Issue 3; Pages: 273-296
op_relation https://dx.doi.org/10.3390/insects2030273
op_rights https://creativecommons.org/licenses/by/3.0/
op_doi https://doi.org/10.3390/insects2030273
container_title Insects
container_volume 2
container_issue 3
container_start_page 273
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