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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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 |
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MTAK: REAL (Library and Information Centre of the Hungarian Academy of Sciences |
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topic |
QL Zoology / állattan |
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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 |
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41 |
container_issue |
7 |
container_start_page |
574 |
op_container_end_page |
583 |
_version_ |
1766261093126111232 |