Multivariate morphometric analysis of seasonal changes in overwintering arctic charr (Salvelinus alpinus L.)

This study developed a robust technique for the assessment of morphometric differences among overwintering northern fish populations. Arctic charr were sampled soon before the freeze-up and just after ice break-up at two subarctic Quebec lakes. A homogenous sample of 397 fish was used. Regression an...

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Bibliographic Details
Main Author: Idrus, Muhammad Rijal.
Other Authors: Curtis, Mark A. (advisor)
Format: Thesis
Language:English
Published: McGill University 1996
Subjects:
Online Access:http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=27346
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spelling ftcanadathes:oai:collectionscanada.gc.ca:QMM.27346 2023-05-15T14:30:04+02:00 Multivariate morphometric analysis of seasonal changes in overwintering arctic charr (Salvelinus alpinus L.) Idrus, Muhammad Rijal. Curtis, Mark A. (advisor) Master of Science (Department of Natural Resource Sciences.) 1996 application/pdf http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=27346 en eng McGill University alephsysno: 001574728 proquestno: MQ29721 Theses scanned by UMI/ProQuest. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=27346 All items in eScholarship@McGill are protected by copyright with all rights reserved unless otherwise indicated. Arctic char -- Morphology -- Statistical methods Electronic Thesis or Dissertation 1996 ftcanadathes 2014-02-16T01:00:20Z This study developed a robust technique for the assessment of morphometric differences among overwintering northern fish populations. Arctic charr were sampled soon before the freeze-up and just after ice break-up at two subarctic Quebec lakes. A homogenous sample of 397 fish was used. Regression analyses of the length-weight relationships and their derived condition indices were insufficient, due to their inherent limitations, to recognize the differences between sampling groups. A series of multivariate analyses (canonical, stepwise and discriminant analysis), based on eleven morphometric characters of the fish, provided a better assessment. The analysis recognized the distinctions between sampling groups, correctly classified 70-100% of the fish into their appropriate groupings, and indicated that body height measured at the anal opening was the most discriminatory variable. Landmark variables related to shape differences were effective in discriminating fish according to their lake of origin, whereas length and weight variables, which closely reflected the size differences, were better at distinguishing seasonal changes. The study provides a simple, efficient assessment method based on phenotypic variations to explain different survival strategies, and the associated life history traits, adopted by fish. Thesis Arctic charr Arctic Salvelinus alpinus Subarctic Theses Canada/Thèses Canada (Library and Archives Canada) Arctic
institution Open Polar
collection Theses Canada/Thèses Canada (Library and Archives Canada)
op_collection_id ftcanadathes
language English
topic Arctic char -- Morphology -- Statistical methods
spellingShingle Arctic char -- Morphology -- Statistical methods
Idrus, Muhammad Rijal.
Multivariate morphometric analysis of seasonal changes in overwintering arctic charr (Salvelinus alpinus L.)
topic_facet Arctic char -- Morphology -- Statistical methods
description This study developed a robust technique for the assessment of morphometric differences among overwintering northern fish populations. Arctic charr were sampled soon before the freeze-up and just after ice break-up at two subarctic Quebec lakes. A homogenous sample of 397 fish was used. Regression analyses of the length-weight relationships and their derived condition indices were insufficient, due to their inherent limitations, to recognize the differences between sampling groups. A series of multivariate analyses (canonical, stepwise and discriminant analysis), based on eleven morphometric characters of the fish, provided a better assessment. The analysis recognized the distinctions between sampling groups, correctly classified 70-100% of the fish into their appropriate groupings, and indicated that body height measured at the anal opening was the most discriminatory variable. Landmark variables related to shape differences were effective in discriminating fish according to their lake of origin, whereas length and weight variables, which closely reflected the size differences, were better at distinguishing seasonal changes. The study provides a simple, efficient assessment method based on phenotypic variations to explain different survival strategies, and the associated life history traits, adopted by fish.
author2 Curtis, Mark A. (advisor)
format Thesis
author Idrus, Muhammad Rijal.
author_facet Idrus, Muhammad Rijal.
author_sort Idrus, Muhammad Rijal.
title Multivariate morphometric analysis of seasonal changes in overwintering arctic charr (Salvelinus alpinus L.)
title_short Multivariate morphometric analysis of seasonal changes in overwintering arctic charr (Salvelinus alpinus L.)
title_full Multivariate morphometric analysis of seasonal changes in overwintering arctic charr (Salvelinus alpinus L.)
title_fullStr Multivariate morphometric analysis of seasonal changes in overwintering arctic charr (Salvelinus alpinus L.)
title_full_unstemmed Multivariate morphometric analysis of seasonal changes in overwintering arctic charr (Salvelinus alpinus L.)
title_sort multivariate morphometric analysis of seasonal changes in overwintering arctic charr (salvelinus alpinus l.)
publisher McGill University
publishDate 1996
url http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=27346
op_coverage Master of Science (Department of Natural Resource Sciences.)
geographic Arctic
geographic_facet Arctic
genre Arctic charr
Arctic
Salvelinus alpinus
Subarctic
genre_facet Arctic charr
Arctic
Salvelinus alpinus
Subarctic
op_relation alephsysno: 001574728
proquestno: MQ29721
Theses scanned by UMI/ProQuest.
http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=27346
op_rights All items in eScholarship@McGill are protected by copyright with all rights reserved unless otherwise indicated.
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