Evaluating stock structure hypotheses using genetically determined close relatives: a simulation study on North Atlantic fin whales
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...
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fthighwire:oai:open-archive.highwire.org:icesjms:72/2/661 2023-05-15T15:36:36+02:00 Evaluating stock structure hypotheses using genetically determined close relatives: a simulation study on North Atlantic fin whales Elvarsson, Bjarki Þór 2015-01-01 00:00:00.0 text/html http://icesjms.oxfordjournals.org/cgi/content/short/72/2/661 https://doi.org/10.1093/icesjms/fsu140 en eng Oxford University Press http://icesjms.oxfordjournals.org/cgi/content/short/72/2/661 http://dx.doi.org/10.1093/icesjms/fsu140 Copyright (C) 2015, International Council for the Exploration of the Sea/Conseil International pour l'Exploration de la Mer Original Articles TEXT 2015 fthighwire https://doi.org/10.1093/icesjms/fsu140 2015-02-28T22:17:52Z 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. Text Balaenoptera physalus North Atlantic HighWire Press (Stanford University) ICES Journal of Marine Science 72 2 661 669 |
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HighWire Press (Stanford University) |
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English |
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Original Articles |
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Original Articles Elvarsson, Bjarki Þór Evaluating stock structure hypotheses using genetically determined close relatives: a simulation study on North Atlantic fin whales |
topic_facet |
Original Articles |
description |
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 |
Text |
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 |
publishDate |
2015 |
url |
http://icesjms.oxfordjournals.org/cgi/content/short/72/2/661 https://doi.org/10.1093/icesjms/fsu140 |
genre |
Balaenoptera physalus North Atlantic |
genre_facet |
Balaenoptera physalus North Atlantic |
op_relation |
http://icesjms.oxfordjournals.org/cgi/content/short/72/2/661 http://dx.doi.org/10.1093/icesjms/fsu140 |
op_rights |
Copyright (C) 2015, International Council for the Exploration of the Sea/Conseil International pour l'Exploration de la Mer |
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_ |
1766366968410013696 |