Global pattern of oribatid mites (Acari: Oribatida) revealed by fractions of beta diversity and multivariate analysis

Global patterns of organisms have long been investigated by calculating the (dis)similarity among geographical units followed by multivariate analysis. Beta-diversity-related structural characteristics of world-scale data, such as nestedness or species replacement may also be considered as an additi...

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Bibliographic Details
Published in:International Journal of Acarology
Main Authors: Gergócs, Veronika, Hufnagel, Levente
Format: Article in Journal/Newspaper
Language:unknown
Published: 2015
Subjects:
Online Access:http://real.mtak.hu/46134/
http://real.mtak.hu/46134/1/Gergocs%20%26%20Hufnagel%202015.pdf
https://doi.org/10.1080/01647954.2015.1084044
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spelling ftmtak:oai:real.mtak.hu:46134 2023-05-15T13:54:53+02:00 Global pattern of oribatid mites (Acari: Oribatida) revealed by fractions of beta diversity and multivariate analysis Gergócs, Veronika Hufnagel, Levente 2015 text http://real.mtak.hu/46134/ http://real.mtak.hu/46134/1/Gergocs%20%26%20Hufnagel%202015.pdf https://doi.org/10.1080/01647954.2015.1084044 unknown http://real.mtak.hu/46134/1/Gergocs%20%26%20Hufnagel%202015.pdf Gergócs, Veronika and Hufnagel, Levente (2015) Global pattern of oribatid mites (Acari: Oribatida) revealed by fractions of beta diversity and multivariate analysis. INTERNATIONAL JOURNAL OF ACAROLOGY, 41 (7). pp. 574-583. ISSN 0164-7954 QL Zoology / állattan Article PeerReviewed 2015 ftmtak https://doi.org/10.1080/01647954.2015.1084044 2017-01-30T19:09:13Z Global patterns of organisms have long been investigated by calculating the (dis)similarity among geographical units followed by multivariate analysis. Beta-diversity-related structural characteristics of world-scale data, such as nestedness or species replacement may also be considered as an additional tool in revealing distributional patterns more accurately. To achieve this objective, our study combines cluster analysis and ordination based on Jaccard and Simpson dissimilarity with the decomposition of beta diversity into meaningful fractions. As a model group, the oribatid mite fauna of the seven biogeographic realms was analysed at three taxonomic levels, i.e. species, genus and family. The highest overall similarity was obtained between the Palaearctic and Nearctic realms and the lowest richness resulted for the Antarctic realm. The classifications and ordinations usually differed with the two dissimilarity indices. Beta diversity decomposition showed that these discrepancies were caused by different patterns of nestedness and taxon richness. Our study is the first to demonstrate that such a complex approach may disclose several features of biogeographic data not apparent otherwise and therefore may improve our understanding of inter-regional relationships. Article in Journal/Newspaper Antarc* Antarctic Mite MTAK: REAL (Library and Information Centre of the Hungarian Academy of Sciences Antarctic The Antarctic International Journal of Acarology 41 7 574 583
institution Open Polar
collection MTAK: REAL (Library and Information Centre of the Hungarian Academy of Sciences
op_collection_id ftmtak
language unknown
topic QL Zoology / állattan
spellingShingle QL Zoology / állattan
Gergócs, Veronika
Hufnagel, Levente
Global pattern of oribatid mites (Acari: Oribatida) revealed by fractions of beta diversity and multivariate analysis
topic_facet QL Zoology / állattan
description Global patterns of organisms have long been investigated by calculating the (dis)similarity among geographical units followed by multivariate analysis. Beta-diversity-related structural characteristics of world-scale data, such as nestedness or species replacement may also be considered as an additional tool in revealing distributional patterns more accurately. To achieve this objective, our study combines cluster analysis and ordination based on Jaccard and Simpson dissimilarity with the decomposition of beta diversity into meaningful fractions. As a model group, the oribatid mite fauna of the seven biogeographic realms was analysed at three taxonomic levels, i.e. species, genus and family. The highest overall similarity was obtained between the Palaearctic and Nearctic realms and the lowest richness resulted for the Antarctic realm. The classifications and ordinations usually differed with the two dissimilarity indices. Beta diversity decomposition showed that these discrepancies were caused by different patterns of nestedness and taxon richness. Our study is the first to demonstrate that such a complex approach may disclose several features of biogeographic data not apparent otherwise and therefore may improve our understanding of inter-regional relationships.
format Article in Journal/Newspaper
author Gergócs, Veronika
Hufnagel, Levente
author_facet Gergócs, Veronika
Hufnagel, Levente
author_sort Gergócs, Veronika
title Global pattern of oribatid mites (Acari: Oribatida) revealed by fractions of beta diversity and multivariate analysis
title_short Global pattern of oribatid mites (Acari: Oribatida) revealed by fractions of beta diversity and multivariate analysis
title_full Global pattern of oribatid mites (Acari: Oribatida) revealed by fractions of beta diversity and multivariate analysis
title_fullStr Global pattern of oribatid mites (Acari: Oribatida) revealed by fractions of beta diversity and multivariate analysis
title_full_unstemmed Global pattern of oribatid mites (Acari: Oribatida) revealed by fractions of beta diversity and multivariate analysis
title_sort global pattern of oribatid mites (acari: oribatida) revealed by fractions of beta diversity and multivariate analysis
publishDate 2015
url http://real.mtak.hu/46134/
http://real.mtak.hu/46134/1/Gergocs%20%26%20Hufnagel%202015.pdf
https://doi.org/10.1080/01647954.2015.1084044
geographic Antarctic
The Antarctic
geographic_facet Antarctic
The Antarctic
genre Antarc*
Antarctic
Mite
genre_facet Antarc*
Antarctic
Mite
op_relation http://real.mtak.hu/46134/1/Gergocs%20%26%20Hufnagel%202015.pdf
Gergócs, Veronika and Hufnagel, Levente (2015) Global pattern of oribatid mites (Acari: Oribatida) revealed by fractions of beta diversity and multivariate analysis. INTERNATIONAL JOURNAL OF ACAROLOGY, 41 (7). pp. 574-583. ISSN 0164-7954
op_doi https://doi.org/10.1080/01647954.2015.1084044
container_title International Journal of Acarology
container_volume 41
container_issue 7
container_start_page 574
op_container_end_page 583
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