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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Online Access: | https://doi.org/10.3390/insects2030273 https://doaj.org/article/311d9073224742c68dfe7a66d8409806 |
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ftdoajarticles:oai:doaj.org/article:311d9073224742c68dfe7a66d8409806 2023-05-15T13:46:47+02:00 A Holarctic Biogeographical Analysis of the Collembola (Arthropoda, Hexapoda) Unravels Recent Post-Glacial Colonization Patterns María Luisa Ávila-Jiménez Stephen James Coulson 2011-06-01T00:00:00Z https://doi.org/10.3390/insects2030273 https://doaj.org/article/311d9073224742c68dfe7a66d8409806 EN eng MDPI AG http://www.mdpi.com/2075-4450/2/3/273/ https://doaj.org/toc/2075-4450 doi:10.3390/insects2030273 2075-4450 https://doaj.org/article/311d9073224742c68dfe7a66d8409806 Insects, Vol 2, Iss 3, Pp 273-296 (2011) dispersal colonization distribution range glacial refugia Gaussian mixture clustering Arctic Science Q article 2011 ftdoajarticles https://doi.org/10.3390/insects2030273 2022-12-30T21:53:53Z 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 ... Article in Journal/Newspaper Antarc* Antarctic Arctic Beringia Siberia Directory of Open Access Journals: DOAJ Articles Arctic Antarctic Arctic Island ENVELOPE(-74.766,-74.766,62.234,62.234) Insects 2 3 273 296 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
dispersal colonization distribution range glacial refugia Gaussian mixture clustering Arctic Science Q |
spellingShingle |
dispersal colonization distribution range glacial refugia Gaussian mixture clustering Arctic Science Q 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 Science Q |
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 |
Article in Journal/Newspaper |
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 |
MDPI AG |
publishDate |
2011 |
url |
https://doi.org/10.3390/insects2030273 https://doaj.org/article/311d9073224742c68dfe7a66d8409806 |
long_lat |
ENVELOPE(-74.766,-74.766,62.234,62.234) |
geographic |
Arctic Antarctic Arctic Island |
geographic_facet |
Arctic Antarctic Arctic Island |
genre |
Antarc* Antarctic Arctic Beringia Siberia |
genre_facet |
Antarc* Antarctic Arctic Beringia Siberia |
op_source |
Insects, Vol 2, Iss 3, Pp 273-296 (2011) |
op_relation |
http://www.mdpi.com/2075-4450/2/3/273/ https://doaj.org/toc/2075-4450 doi:10.3390/insects2030273 2075-4450 https://doaj.org/article/311d9073224742c68dfe7a66d8409806 |
op_doi |
https://doi.org/10.3390/insects2030273 |
container_title |
Insects |
container_volume |
2 |
container_issue |
3 |
container_start_page |
273 |
op_container_end_page |
296 |
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1766245209379700736 |