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Sensing coral reef connectivity pathways from space
Coral reefs rely on inter-habitat connectivity to maintain gene flow, biodiversity and ecosystem resilience. Coral reef communities of the Red Sea exhibit remarkable genetic homogeneity across most of the Arabian Peninsula coastline, with a genetic break towards the southern part of the basin. While...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5571014/ https://www.ncbi.nlm.nih.gov/pubmed/28839286 http://dx.doi.org/10.1038/s41598-017-08729-w |
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author | Raitsos, Dionysios E. Brewin, Robert J. W. Zhan, Peng Dreano, Denis Pradhan, Yaswant Nanninga, Gerrit B. Hoteit, Ibrahim |
author_facet | Raitsos, Dionysios E. Brewin, Robert J. W. Zhan, Peng Dreano, Denis Pradhan, Yaswant Nanninga, Gerrit B. Hoteit, Ibrahim |
author_sort | Raitsos, Dionysios E. |
collection | PubMed |
description | Coral reefs rely on inter-habitat connectivity to maintain gene flow, biodiversity and ecosystem resilience. Coral reef communities of the Red Sea exhibit remarkable genetic homogeneity across most of the Arabian Peninsula coastline, with a genetic break towards the southern part of the basin. While previous studies have attributed these patterns to environmental heterogeneity, we hypothesize that they may also emerge as a result of dynamic circulation flow; yet, such linkages remain undemonstrated. Here, we integrate satellite-derived biophysical observations, particle dispersion model simulations, genetic population data and ship-borne in situ profiles to assess reef connectivity in the Red Sea. We simulated long-term (>20 yrs.) connectivity patterns driven by remotely-sensed sea surface height and evaluated results against estimates of genetic distance among populations of anemonefish, Amphiprion bicinctus, along the eastern Red Sea coastline. Predicted connectivity was remarkably consistent with genetic population data, demonstrating that circulation features (eddies, surface currents) formulate physical pathways for gene flow. The southern basin has lower physical connectivity than elsewhere, agreeing with known genetic structure of coral reef organisms. The central Red Sea provides key source regions, meriting conservation priority. Our analysis demonstrates a cost-effective tool to estimate biophysical connectivity remotely, supporting coastal management in data-limited regions. |
format | Online Article Text |
id | pubmed-5571014 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55710142017-09-01 Sensing coral reef connectivity pathways from space Raitsos, Dionysios E. Brewin, Robert J. W. Zhan, Peng Dreano, Denis Pradhan, Yaswant Nanninga, Gerrit B. Hoteit, Ibrahim Sci Rep Article Coral reefs rely on inter-habitat connectivity to maintain gene flow, biodiversity and ecosystem resilience. Coral reef communities of the Red Sea exhibit remarkable genetic homogeneity across most of the Arabian Peninsula coastline, with a genetic break towards the southern part of the basin. While previous studies have attributed these patterns to environmental heterogeneity, we hypothesize that they may also emerge as a result of dynamic circulation flow; yet, such linkages remain undemonstrated. Here, we integrate satellite-derived biophysical observations, particle dispersion model simulations, genetic population data and ship-borne in situ profiles to assess reef connectivity in the Red Sea. We simulated long-term (>20 yrs.) connectivity patterns driven by remotely-sensed sea surface height and evaluated results against estimates of genetic distance among populations of anemonefish, Amphiprion bicinctus, along the eastern Red Sea coastline. Predicted connectivity was remarkably consistent with genetic population data, demonstrating that circulation features (eddies, surface currents) formulate physical pathways for gene flow. The southern basin has lower physical connectivity than elsewhere, agreeing with known genetic structure of coral reef organisms. The central Red Sea provides key source regions, meriting conservation priority. Our analysis demonstrates a cost-effective tool to estimate biophysical connectivity remotely, supporting coastal management in data-limited regions. Nature Publishing Group UK 2017-08-24 /pmc/articles/PMC5571014/ /pubmed/28839286 http://dx.doi.org/10.1038/s41598-017-08729-w Text en © The Author(s) 2017 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Raitsos, Dionysios E. Brewin, Robert J. W. Zhan, Peng Dreano, Denis Pradhan, Yaswant Nanninga, Gerrit B. Hoteit, Ibrahim Sensing coral reef connectivity pathways from space |
title | Sensing coral reef connectivity pathways from space |
title_full | Sensing coral reef connectivity pathways from space |
title_fullStr | Sensing coral reef connectivity pathways from space |
title_full_unstemmed | Sensing coral reef connectivity pathways from space |
title_short | Sensing coral reef connectivity pathways from space |
title_sort | sensing coral reef connectivity pathways from space |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5571014/ https://www.ncbi.nlm.nih.gov/pubmed/28839286 http://dx.doi.org/10.1038/s41598-017-08729-w |
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