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Endemics determine bioregionalization in the alpine zone of the Irano-Anatolian biodiversity hotspot (South-West Asia)
Alpine habitats are characterized by a high rate of range restricted species compared to those of lower elevations. This is also the case for the Irano-Anatolian global biodiversity hotspot in South-West Asia, which is a mountainous area harbouring a high amount of endemic species. Using two quantit...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8549998/ https://www.ncbi.nlm.nih.gov/pubmed/34721248 http://dx.doi.org/10.1007/s00035-021-00266-7 |
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author | Noroozi, Jalil Khalvati, Sina Nafisi, Haniyeh Kaveh, Akram Nazari, Behnaz Zare, Golshan Minaei, Masoud Vitek, Ernst Schneeweiss, Gerald M. |
author_facet | Noroozi, Jalil Khalvati, Sina Nafisi, Haniyeh Kaveh, Akram Nazari, Behnaz Zare, Golshan Minaei, Masoud Vitek, Ernst Schneeweiss, Gerald M. |
author_sort | Noroozi, Jalil |
collection | PubMed |
description | Alpine habitats are characterized by a high rate of range restricted species compared to those of lower elevations. This is also the case for the Irano-Anatolian global biodiversity hotspot in South-West Asia, which is a mountainous area harbouring a high amount of endemic species. Using two quantitative approaches, Endemicity Analysis and Network-Clustering, we want to identify areas of concordant species distribution patterns in the alpine zone of this region as well as to test the hypothesis that, given the high proportion of endemics among alpine species, delimitation of these areas is determined mainly by endemic alpine species, i.e., areas of concordant species distribution patterns are congruent with areas of endemism. Endemicity Analysis identified six areas of concordant species distribution patterns irrespective of dataset (total alpine species versus endemic alpine species), whereas the Network-Clustering approach identified five and four Bioregions from total alpine species and endemic alpine species, respectively. Most of these areas have been previously identified using the endemic flora of different elevational zones. The identified units using both methods and both datasets are strongly congruent, proposing that they reveal meaningful distribution patterns. Bioregionalization in the Irano-Anatolian biodiversity hotspot appears to be strongly influenced by the endemic alpine species, a pattern likely to hold in alpine regions outside the Irano-Anatolian hotspot. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00035-021-00266-7. |
format | Online Article Text |
id | pubmed-8549998 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-85499982021-10-29 Endemics determine bioregionalization in the alpine zone of the Irano-Anatolian biodiversity hotspot (South-West Asia) Noroozi, Jalil Khalvati, Sina Nafisi, Haniyeh Kaveh, Akram Nazari, Behnaz Zare, Golshan Minaei, Masoud Vitek, Ernst Schneeweiss, Gerald M. Alp Bot Original Article Alpine habitats are characterized by a high rate of range restricted species compared to those of lower elevations. This is also the case for the Irano-Anatolian global biodiversity hotspot in South-West Asia, which is a mountainous area harbouring a high amount of endemic species. Using two quantitative approaches, Endemicity Analysis and Network-Clustering, we want to identify areas of concordant species distribution patterns in the alpine zone of this region as well as to test the hypothesis that, given the high proportion of endemics among alpine species, delimitation of these areas is determined mainly by endemic alpine species, i.e., areas of concordant species distribution patterns are congruent with areas of endemism. Endemicity Analysis identified six areas of concordant species distribution patterns irrespective of dataset (total alpine species versus endemic alpine species), whereas the Network-Clustering approach identified five and four Bioregions from total alpine species and endemic alpine species, respectively. Most of these areas have been previously identified using the endemic flora of different elevational zones. The identified units using both methods and both datasets are strongly congruent, proposing that they reveal meaningful distribution patterns. Bioregionalization in the Irano-Anatolian biodiversity hotspot appears to be strongly influenced by the endemic alpine species, a pattern likely to hold in alpine regions outside the Irano-Anatolian hotspot. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00035-021-00266-7. Springer International Publishing 2021-08-04 2021 /pmc/articles/PMC8549998/ /pubmed/34721248 http://dx.doi.org/10.1007/s00035-021-00266-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Noroozi, Jalil Khalvati, Sina Nafisi, Haniyeh Kaveh, Akram Nazari, Behnaz Zare, Golshan Minaei, Masoud Vitek, Ernst Schneeweiss, Gerald M. Endemics determine bioregionalization in the alpine zone of the Irano-Anatolian biodiversity hotspot (South-West Asia) |
title | Endemics determine bioregionalization in the alpine zone of the Irano-Anatolian biodiversity hotspot (South-West Asia) |
title_full | Endemics determine bioregionalization in the alpine zone of the Irano-Anatolian biodiversity hotspot (South-West Asia) |
title_fullStr | Endemics determine bioregionalization in the alpine zone of the Irano-Anatolian biodiversity hotspot (South-West Asia) |
title_full_unstemmed | Endemics determine bioregionalization in the alpine zone of the Irano-Anatolian biodiversity hotspot (South-West Asia) |
title_short | Endemics determine bioregionalization in the alpine zone of the Irano-Anatolian biodiversity hotspot (South-West Asia) |
title_sort | endemics determine bioregionalization in the alpine zone of the irano-anatolian biodiversity hotspot (south-west asia) |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8549998/ https://www.ncbi.nlm.nih.gov/pubmed/34721248 http://dx.doi.org/10.1007/s00035-021-00266-7 |
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