Genetic And Biophysical Modelling Evidence Of Generational Connectivity In The Intensively Exploited, Western North Atlantic Red Grouper (epinephelus Morio)
Understanding the connectivity of reef organisms is important to assist in the conservation of biological diversity and to facilitate sustainable fisheries in these ecosystems. Common methods to assess reef connectivity include both population genetics and biophysical modelling. Individually, these...
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2020
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Online Access: | https://doi.org/10.1093/icesjms/fsz201 https://diginole.lib.fsu.edu/islandora/object/fsu%3A774320/datastream/TN/view/Genetic%20And%20Biophysical%20Modelling%20Evidence%20Of%20Generational%20Connectivity%20In%20The%20Intensively%20Exploited,%20Western%20North%20Atlantic%20Red%20Grouper%20%28epinephelus%20Morio%29.jpg |
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ftfloridasu:oai:diginole.lib.fsu.edu:fsu_774320 2024-06-09T07:48:16+00:00 Genetic And Biophysical Modelling Evidence Of Generational Connectivity In The Intensively Exploited, Western North Atlantic Red Grouper (epinephelus Morio) Bernard, Andrea M. (author) Johnston, Matthew W. (author) Perez-Portela, Rocio (author) Oleksiak, Marjorie F. (author) Coleman, Felicia C. (author) Shivji, Mahmood S. (author) 2020-02 computer online resource 1 online resource application/pdf https://doi.org/10.1093/icesjms/fsz201 https://diginole.lib.fsu.edu/islandora/object/fsu%3A774320/datastream/TN/view/Genetic%20And%20Biophysical%20Modelling%20Evidence%20Of%20Generational%20Connectivity%20In%20The%20Intensively%20Exploited,%20Western%20North%20Atlantic%20Red%20Grouper%20%28epinephelus%20Morio%29.jpg English eng Ices Journal of Marine Science--1054-3139 fsu:774320 iid: FSU_libsubv1_wos_000518530200029 doi:10.1093/icesjms/fsz201 https://diginole.lib.fsu.edu/islandora/object/fsu%3A774320/datastream/TN/view/Genetic%20And%20Biophysical%20Modelling%20Evidence%20Of%20Generational%20Connectivity%20In%20The%20Intensively%20Exploited,%20Western%20North%20Atlantic%20Red%20Grouper%20%28epinephelus%20Morio%29.jpg Text journal article 2020 ftfloridasu https://doi.org/10.1093/icesjms/fsz201 2024-05-10T08:08:13Z Understanding the connectivity of reef organisms is important to assist in the conservation of biological diversity and to facilitate sustainable fisheries in these ecosystems. Common methods to assess reef connectivity include both population genetics and biophysical modelling. Individually, these techniques can offer insight into population structure; however, the information acquired by any singular analysis is often subject to limitations, underscoring the need for a multi-faceted approach. To assess the connectivity dynamics of the red grouper (Epinephelus morio), an economically important reef fish species found throughout the Gulf of Mexico and USA western Atlantic, we utilized two sets of genetic markers (12 microsatellite loci and 632 single nucleotide polymorphisms) to resolve this species' population genetic structure, along with biophysical modelling to deliver a spatial forecast of potential larval "sources" and "sinks" across these same regions and spatial scale. Our genetic survey indicates little, if any, evidence of population genetic structure and modelling efforts indicate the potential for ecological connectivity between sampled regions over multiple generations. We offer that using a dual empirical and theoretical approach lessens the error associated with the use of any single method and provides an important step towards the validation of either of these methodologies. diversity, gulf-of-mexico, software, complex, population-structure, connectivity, Atlantic Ocean, biophysical modelling, campeche bank, grouper, Gulf of Mexico, microsatellite DNA, microsatellite loci, pulley ridge, r-package, reef, single nucleotide polymorphism The publisher's version of record is availible at https://doi.org/10.1093/icesjms/fsz201 Article in Journal/Newspaper North Atlantic Florida State University: DigiNole Commons ICES Journal of Marine Science |
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Open Polar |
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Florida State University: DigiNole Commons |
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ftfloridasu |
language |
English |
description |
Understanding the connectivity of reef organisms is important to assist in the conservation of biological diversity and to facilitate sustainable fisheries in these ecosystems. Common methods to assess reef connectivity include both population genetics and biophysical modelling. Individually, these techniques can offer insight into population structure; however, the information acquired by any singular analysis is often subject to limitations, underscoring the need for a multi-faceted approach. To assess the connectivity dynamics of the red grouper (Epinephelus morio), an economically important reef fish species found throughout the Gulf of Mexico and USA western Atlantic, we utilized two sets of genetic markers (12 microsatellite loci and 632 single nucleotide polymorphisms) to resolve this species' population genetic structure, along with biophysical modelling to deliver a spatial forecast of potential larval "sources" and "sinks" across these same regions and spatial scale. Our genetic survey indicates little, if any, evidence of population genetic structure and modelling efforts indicate the potential for ecological connectivity between sampled regions over multiple generations. We offer that using a dual empirical and theoretical approach lessens the error associated with the use of any single method and provides an important step towards the validation of either of these methodologies. diversity, gulf-of-mexico, software, complex, population-structure, connectivity, Atlantic Ocean, biophysical modelling, campeche bank, grouper, Gulf of Mexico, microsatellite DNA, microsatellite loci, pulley ridge, r-package, reef, single nucleotide polymorphism The publisher's version of record is availible at https://doi.org/10.1093/icesjms/fsz201 |
author2 |
Bernard, Andrea M. (author) Johnston, Matthew W. (author) Perez-Portela, Rocio (author) Oleksiak, Marjorie F. (author) Coleman, Felicia C. (author) Shivji, Mahmood S. (author) |
format |
Article in Journal/Newspaper |
title |
Genetic And Biophysical Modelling Evidence Of Generational Connectivity In The Intensively Exploited, Western North Atlantic Red Grouper (epinephelus Morio) |
spellingShingle |
Genetic And Biophysical Modelling Evidence Of Generational Connectivity In The Intensively Exploited, Western North Atlantic Red Grouper (epinephelus Morio) |
title_short |
Genetic And Biophysical Modelling Evidence Of Generational Connectivity In The Intensively Exploited, Western North Atlantic Red Grouper (epinephelus Morio) |
title_full |
Genetic And Biophysical Modelling Evidence Of Generational Connectivity In The Intensively Exploited, Western North Atlantic Red Grouper (epinephelus Morio) |
title_fullStr |
Genetic And Biophysical Modelling Evidence Of Generational Connectivity In The Intensively Exploited, Western North Atlantic Red Grouper (epinephelus Morio) |
title_full_unstemmed |
Genetic And Biophysical Modelling Evidence Of Generational Connectivity In The Intensively Exploited, Western North Atlantic Red Grouper (epinephelus Morio) |
title_sort |
genetic and biophysical modelling evidence of generational connectivity in the intensively exploited, western north atlantic red grouper (epinephelus morio) |
publishDate |
2020 |
url |
https://doi.org/10.1093/icesjms/fsz201 https://diginole.lib.fsu.edu/islandora/object/fsu%3A774320/datastream/TN/view/Genetic%20And%20Biophysical%20Modelling%20Evidence%20Of%20Generational%20Connectivity%20In%20The%20Intensively%20Exploited,%20Western%20North%20Atlantic%20Red%20Grouper%20%28epinephelus%20Morio%29.jpg |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
Ices Journal of Marine Science--1054-3139 fsu:774320 iid: FSU_libsubv1_wos_000518530200029 doi:10.1093/icesjms/fsz201 https://diginole.lib.fsu.edu/islandora/object/fsu%3A774320/datastream/TN/view/Genetic%20And%20Biophysical%20Modelling%20Evidence%20Of%20Generational%20Connectivity%20In%20The%20Intensively%20Exploited,%20Western%20North%20Atlantic%20Red%20Grouper%20%28epinephelus%20Morio%29.jpg |
op_doi |
https://doi.org/10.1093/icesjms/fsz201 |
container_title |
ICES Journal of Marine Science |
_version_ |
1801379921317068800 |