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Mapping biodiversity hotspots of fish communities in subtropical streams through environmental DNA
Large tropical and subtropical rivers are among the most biodiverse ecosystems worldwide, but also suffer from high anthropogenic pressures. These rivers are hitherto subject to little or no routine biomonitoring, which would be essential for identification of conservation areas of high importance....
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8121892/ https://www.ncbi.nlm.nih.gov/pubmed/33990677 http://dx.doi.org/10.1038/s41598-021-89942-6 |
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author | Blackman, Rosetta C. Osathanunkul, Maslin Brantschen, Jeanine Di Muri, Cristina Harper, Lynsey R. Mächler, Elvira Hänfling, Bernd Altermatt, Florian |
author_facet | Blackman, Rosetta C. Osathanunkul, Maslin Brantschen, Jeanine Di Muri, Cristina Harper, Lynsey R. Mächler, Elvira Hänfling, Bernd Altermatt, Florian |
author_sort | Blackman, Rosetta C. |
collection | PubMed |
description | Large tropical and subtropical rivers are among the most biodiverse ecosystems worldwide, but also suffer from high anthropogenic pressures. These rivers are hitherto subject to little or no routine biomonitoring, which would be essential for identification of conservation areas of high importance. Here, we use a single environmental DNA multi-site sampling campaign across the 200,000 km(2) Chao Phraya river basin, Thailand, to provide key information on fish diversity. We found a total of 108 fish taxa and identified key biodiversity patterns within the river network. By using hierarchical clustering, we grouped the fish communities of all sites across the catchment into distinct clusters. The clusters not only accurately matched the topology of the river network, but also revealed distinct groups of sites enabling informed conservation measures. Our study reveals novel opportunities of large-scale monitoring via eDNA to identify relevant areas within whole river catchments for conservation and habitat protection. |
format | Online Article Text |
id | pubmed-8121892 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-81218922021-05-17 Mapping biodiversity hotspots of fish communities in subtropical streams through environmental DNA Blackman, Rosetta C. Osathanunkul, Maslin Brantschen, Jeanine Di Muri, Cristina Harper, Lynsey R. Mächler, Elvira Hänfling, Bernd Altermatt, Florian Sci Rep Article Large tropical and subtropical rivers are among the most biodiverse ecosystems worldwide, but also suffer from high anthropogenic pressures. These rivers are hitherto subject to little or no routine biomonitoring, which would be essential for identification of conservation areas of high importance. Here, we use a single environmental DNA multi-site sampling campaign across the 200,000 km(2) Chao Phraya river basin, Thailand, to provide key information on fish diversity. We found a total of 108 fish taxa and identified key biodiversity patterns within the river network. By using hierarchical clustering, we grouped the fish communities of all sites across the catchment into distinct clusters. The clusters not only accurately matched the topology of the river network, but also revealed distinct groups of sites enabling informed conservation measures. Our study reveals novel opportunities of large-scale monitoring via eDNA to identify relevant areas within whole river catchments for conservation and habitat protection. Nature Publishing Group UK 2021-05-14 /pmc/articles/PMC8121892/ /pubmed/33990677 http://dx.doi.org/10.1038/s41598-021-89942-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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 | Article Blackman, Rosetta C. Osathanunkul, Maslin Brantschen, Jeanine Di Muri, Cristina Harper, Lynsey R. Mächler, Elvira Hänfling, Bernd Altermatt, Florian Mapping biodiversity hotspots of fish communities in subtropical streams through environmental DNA |
title | Mapping biodiversity hotspots of fish communities in subtropical streams through environmental DNA |
title_full | Mapping biodiversity hotspots of fish communities in subtropical streams through environmental DNA |
title_fullStr | Mapping biodiversity hotspots of fish communities in subtropical streams through environmental DNA |
title_full_unstemmed | Mapping biodiversity hotspots of fish communities in subtropical streams through environmental DNA |
title_short | Mapping biodiversity hotspots of fish communities in subtropical streams through environmental DNA |
title_sort | mapping biodiversity hotspots of fish communities in subtropical streams through environmental dna |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8121892/ https://www.ncbi.nlm.nih.gov/pubmed/33990677 http://dx.doi.org/10.1038/s41598-021-89942-6 |
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