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Incorporating distance metrics and temporal trends to refine mixed stock analysis
The distribution of marine organisms is shaped by geographic distance and oceanographic features like currents. Among migratory species, individuals from multiple populations may share feeding habitats seasonally or across life stages. Here, we introduce a modification for many-to-many mixed stock m...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709048/ https://www.ncbi.nlm.nih.gov/pubmed/36446818 http://dx.doi.org/10.1038/s41598-022-24279-2 |
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author | Stahelin, Gustavo D. Hoffman, Eric A. Quintana-Ascencio, Pedro F. Reusche, Monica Mansfield, Kate L. |
author_facet | Stahelin, Gustavo D. Hoffman, Eric A. Quintana-Ascencio, Pedro F. Reusche, Monica Mansfield, Kate L. |
author_sort | Stahelin, Gustavo D. |
collection | PubMed |
description | The distribution of marine organisms is shaped by geographic distance and oceanographic features like currents. Among migratory species, individuals from multiple populations may share feeding habitats seasonally or across life stages. Here, we introduce a modification for many-to-many mixed stock models to include distance between breeding and foraging sites as an ecological covariate and evaluate how the composition of green turtle, Chelonia mydas, juvenile mixed stock aggregations changed in response to population growth over time. Our modified many-to-many model is more informative and generally tightens credible intervals over models that do not incorporate distance. Moreover, we identified a decrease in genetic diversity in a Florida nesting site and two juvenile aggregations. Mixed stock aggregations in central Florida have changed from multiple sources to fewer dominant source populations over the past ~ 20 years. We demonstrate that shifts in contributions from source populations to mixed stock aggregations are likely associated with nesting population growth. Furthermore, our results highlight the importance of long-term monitoring and the need for periodical reassessment of reproductive populations and juvenile aggregations. Understanding how mixed stock aggregations change over time and how different life stages are connected is fundamental for the development of successful conservation plans for imperiled species. |
format | Online Article Text |
id | pubmed-9709048 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97090482022-12-01 Incorporating distance metrics and temporal trends to refine mixed stock analysis Stahelin, Gustavo D. Hoffman, Eric A. Quintana-Ascencio, Pedro F. Reusche, Monica Mansfield, Kate L. Sci Rep Article The distribution of marine organisms is shaped by geographic distance and oceanographic features like currents. Among migratory species, individuals from multiple populations may share feeding habitats seasonally or across life stages. Here, we introduce a modification for many-to-many mixed stock models to include distance between breeding and foraging sites as an ecological covariate and evaluate how the composition of green turtle, Chelonia mydas, juvenile mixed stock aggregations changed in response to population growth over time. Our modified many-to-many model is more informative and generally tightens credible intervals over models that do not incorporate distance. Moreover, we identified a decrease in genetic diversity in a Florida nesting site and two juvenile aggregations. Mixed stock aggregations in central Florida have changed from multiple sources to fewer dominant source populations over the past ~ 20 years. We demonstrate that shifts in contributions from source populations to mixed stock aggregations are likely associated with nesting population growth. Furthermore, our results highlight the importance of long-term monitoring and the need for periodical reassessment of reproductive populations and juvenile aggregations. Understanding how mixed stock aggregations change over time and how different life stages are connected is fundamental for the development of successful conservation plans for imperiled species. Nature Publishing Group UK 2022-11-29 /pmc/articles/PMC9709048/ /pubmed/36446818 http://dx.doi.org/10.1038/s41598-022-24279-2 Text en © The Author(s) 2022 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 Stahelin, Gustavo D. Hoffman, Eric A. Quintana-Ascencio, Pedro F. Reusche, Monica Mansfield, Kate L. Incorporating distance metrics and temporal trends to refine mixed stock analysis |
title | Incorporating distance metrics and temporal trends to refine mixed stock analysis |
title_full | Incorporating distance metrics and temporal trends to refine mixed stock analysis |
title_fullStr | Incorporating distance metrics and temporal trends to refine mixed stock analysis |
title_full_unstemmed | Incorporating distance metrics and temporal trends to refine mixed stock analysis |
title_short | Incorporating distance metrics and temporal trends to refine mixed stock analysis |
title_sort | incorporating distance metrics and temporal trends to refine mixed stock analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709048/ https://www.ncbi.nlm.nih.gov/pubmed/36446818 http://dx.doi.org/10.1038/s41598-022-24279-2 |
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