Assessing the Applicability of Compuer Aided Photo-identification for Pinniped Studies Through the Determination of Site Fidelity in Long Island, NY Harbor Seals (Phoca Vitulina Concolor)
Studying the population parameters of marine mammals requires that individuals be identified both spatially and temporally. Traditionally, to identify individuals in the field, animals have been captured and physically marked with a unique feature, allowing the individual to be identified in the fut...
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ftunivmiamiir:oai:scholarlyrepository.miami.edu:oa_theses-1573 2023-05-15T16:33:08+02:00 Assessing the Applicability of Compuer Aided Photo-identification for Pinniped Studies Through the Determination of Site Fidelity in Long Island, NY Harbor Seals (Phoca Vitulina Concolor) McCormack, Meaghan Marialuisa E. Estevanez Daniel O. Suman Jill L. Richardson 2015-04-30T07:00:00Z application/pdf https://scholarlyrepository.miami.edu/oa_theses/557 https://scholarlyrepository.miami.edu/cgi/viewcontent.cgi?article=1573&context=oa_theses unknown Scholarly Repository Open Access Theses photo-identification marine mammals pinniped site fidelity unrestricted 2015 ftunivmiamiir 2018-12-30T17:59:40Z Studying the population parameters of marine mammals requires that individuals be identified both spatially and temporally. Traditionally, to identify individuals in the field, animals have been captured and physically marked with a unique feature, allowing the individual to be identified in the future. This method known as Capture-Mark-Recapture (CMR) has been widely utilized to analyze marine mammal populations. While quite effective, traditional CMR is invasive and poses potential risk for both animals and researches. More recently, with advanced technology and camera equipment a far less invasive and more cost effective method of Photo-identification based Mark Recapture has been developed (PMR). To assess the efficacy of computer aided matching software and the applicability of such software for future pinniped studies, a photographic based mark recapture study was conducted across the 2011-2014 harbor seal seasons using both manual and computer aided methods to determine if the Long Island, NY population display site fidelity, in that they return to the same haul-out location over multiple seasons. Additionally, manual and computer methods were compared for accuracy and their potential use in future pinniped studies. Other/Unknown Material harbor seal Phoca vitulina University of Miami: Scholarly Repository Long Island |
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Open Polar |
collection |
University of Miami: Scholarly Repository |
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ftunivmiamiir |
language |
unknown |
topic |
photo-identification marine mammals pinniped site fidelity |
spellingShingle |
photo-identification marine mammals pinniped site fidelity McCormack, Meaghan Assessing the Applicability of Compuer Aided Photo-identification for Pinniped Studies Through the Determination of Site Fidelity in Long Island, NY Harbor Seals (Phoca Vitulina Concolor) |
topic_facet |
photo-identification marine mammals pinniped site fidelity |
description |
Studying the population parameters of marine mammals requires that individuals be identified both spatially and temporally. Traditionally, to identify individuals in the field, animals have been captured and physically marked with a unique feature, allowing the individual to be identified in the future. This method known as Capture-Mark-Recapture (CMR) has been widely utilized to analyze marine mammal populations. While quite effective, traditional CMR is invasive and poses potential risk for both animals and researches. More recently, with advanced technology and camera equipment a far less invasive and more cost effective method of Photo-identification based Mark Recapture has been developed (PMR). To assess the efficacy of computer aided matching software and the applicability of such software for future pinniped studies, a photographic based mark recapture study was conducted across the 2011-2014 harbor seal seasons using both manual and computer aided methods to determine if the Long Island, NY population display site fidelity, in that they return to the same haul-out location over multiple seasons. Additionally, manual and computer methods were compared for accuracy and their potential use in future pinniped studies. |
author2 |
Marialuisa E. Estevanez Daniel O. Suman Jill L. Richardson |
format |
Other/Unknown Material |
author |
McCormack, Meaghan |
author_facet |
McCormack, Meaghan |
author_sort |
McCormack, Meaghan |
title |
Assessing the Applicability of Compuer Aided Photo-identification for Pinniped Studies Through the Determination of Site Fidelity in Long Island, NY Harbor Seals (Phoca Vitulina Concolor) |
title_short |
Assessing the Applicability of Compuer Aided Photo-identification for Pinniped Studies Through the Determination of Site Fidelity in Long Island, NY Harbor Seals (Phoca Vitulina Concolor) |
title_full |
Assessing the Applicability of Compuer Aided Photo-identification for Pinniped Studies Through the Determination of Site Fidelity in Long Island, NY Harbor Seals (Phoca Vitulina Concolor) |
title_fullStr |
Assessing the Applicability of Compuer Aided Photo-identification for Pinniped Studies Through the Determination of Site Fidelity in Long Island, NY Harbor Seals (Phoca Vitulina Concolor) |
title_full_unstemmed |
Assessing the Applicability of Compuer Aided Photo-identification for Pinniped Studies Through the Determination of Site Fidelity in Long Island, NY Harbor Seals (Phoca Vitulina Concolor) |
title_sort |
assessing the applicability of compuer aided photo-identification for pinniped studies through the determination of site fidelity in long island, ny harbor seals (phoca vitulina concolor) |
publisher |
Scholarly Repository |
publishDate |
2015 |
url |
https://scholarlyrepository.miami.edu/oa_theses/557 https://scholarlyrepository.miami.edu/cgi/viewcontent.cgi?article=1573&context=oa_theses |
geographic |
Long Island |
geographic_facet |
Long Island |
genre |
harbor seal Phoca vitulina |
genre_facet |
harbor seal Phoca vitulina |
op_source |
Open Access Theses |
_version_ |
1766022850288812032 |