Evaluating stock structure hypotheses using genetically determined close relatives: a simulation study on North Atlantic fin whales
Abstract Certain facets of the population dynamics of a species are hard to quantify, including stock structure. In particular, geographical boundaries of stocks or populations are often hard to estimate. This document discusses the application of a recent tagging method, applicable when breeding po...
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Online Access: | http://dx.doi.org/10.1093/icesjms/fsu140 http://academic.oup.com/icesjms/article-pdf/72/2/661/31229718/fsu140.pdf |
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croxfordunivpr:10.1093/icesjms/fsu140 2023-05-15T15:36:37+02:00 Evaluating stock structure hypotheses using genetically determined close relatives: a simulation study on North Atlantic fin whales Elvarsson, Bjarki Þór 2014 http://dx.doi.org/10.1093/icesjms/fsu140 http://academic.oup.com/icesjms/article-pdf/72/2/661/31229718/fsu140.pdf en eng Oxford University Press (OUP) ICES Journal of Marine Science volume 72, issue 2, page 661-669 ISSN 1054-3139 1095-9289 Ecology Aquatic Science Ecology, Evolution, Behavior and Systematics Oceanography journal-article 2014 croxfordunivpr https://doi.org/10.1093/icesjms/fsu140 2022-05-17T05:35:08Z Abstract Certain facets of the population dynamics of a species are hard to quantify, including stock structure. In particular, geographical boundaries of stocks or populations are often hard to estimate. This document discusses the application of a recent tagging method, applicable when breeding populations overlap on feeding grounds. The tagging efficiency is augmented with information on genetically determined close relatives. The proposed tagging method is studied using simulations. Statistics which can be used to compare rivalling stock structure hypotheses are introduced and contrasted. The simulation emulates competing stock structure hypotheses for North Atlantic fin whales (Balaenoptera physalus). The results indicate that, in the case of North Atlantic fin whales, a considerable improvement can be made in terms discriminatory power using information on close relatives when compared with more conventional tag-recapture experiments. Article in Journal/Newspaper Balaenoptera physalus North Atlantic Oxford University Press (via Crossref) ICES Journal of Marine Science 72 2 661 669 |
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Oxford University Press (via Crossref) |
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croxfordunivpr |
language |
English |
topic |
Ecology Aquatic Science Ecology, Evolution, Behavior and Systematics Oceanography |
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Ecology Aquatic Science Ecology, Evolution, Behavior and Systematics Oceanography Elvarsson, Bjarki Þór Evaluating stock structure hypotheses using genetically determined close relatives: a simulation study on North Atlantic fin whales |
topic_facet |
Ecology Aquatic Science Ecology, Evolution, Behavior and Systematics Oceanography |
description |
Abstract Certain facets of the population dynamics of a species are hard to quantify, including stock structure. In particular, geographical boundaries of stocks or populations are often hard to estimate. This document discusses the application of a recent tagging method, applicable when breeding populations overlap on feeding grounds. The tagging efficiency is augmented with information on genetically determined close relatives. The proposed tagging method is studied using simulations. Statistics which can be used to compare rivalling stock structure hypotheses are introduced and contrasted. The simulation emulates competing stock structure hypotheses for North Atlantic fin whales (Balaenoptera physalus). The results indicate that, in the case of North Atlantic fin whales, a considerable improvement can be made in terms discriminatory power using information on close relatives when compared with more conventional tag-recapture experiments. |
format |
Article in Journal/Newspaper |
author |
Elvarsson, Bjarki Þór |
author_facet |
Elvarsson, Bjarki Þór |
author_sort |
Elvarsson, Bjarki Þór |
title |
Evaluating stock structure hypotheses using genetically determined close relatives: a simulation study on North Atlantic fin whales |
title_short |
Evaluating stock structure hypotheses using genetically determined close relatives: a simulation study on North Atlantic fin whales |
title_full |
Evaluating stock structure hypotheses using genetically determined close relatives: a simulation study on North Atlantic fin whales |
title_fullStr |
Evaluating stock structure hypotheses using genetically determined close relatives: a simulation study on North Atlantic fin whales |
title_full_unstemmed |
Evaluating stock structure hypotheses using genetically determined close relatives: a simulation study on North Atlantic fin whales |
title_sort |
evaluating stock structure hypotheses using genetically determined close relatives: a simulation study on north atlantic fin whales |
publisher |
Oxford University Press (OUP) |
publishDate |
2014 |
url |
http://dx.doi.org/10.1093/icesjms/fsu140 http://academic.oup.com/icesjms/article-pdf/72/2/661/31229718/fsu140.pdf |
genre |
Balaenoptera physalus North Atlantic |
genre_facet |
Balaenoptera physalus North Atlantic |
op_source |
ICES Journal of Marine Science volume 72, issue 2, page 661-669 ISSN 1054-3139 1095-9289 |
op_doi |
https://doi.org/10.1093/icesjms/fsu140 |
container_title |
ICES Journal of Marine Science |
container_volume |
72 |
container_issue |
2 |
container_start_page |
661 |
op_container_end_page |
669 |
_version_ |
1766366979348758528 |