Turning maneuvers in sharks: Predicting body curvature from axial morphology
Identifieur interne : 001480 ( Istex/Corpus ); précédent : 001479; suivant : 001481Turning maneuvers in sharks: Predicting body curvature from axial morphology
Auteurs : Marianne E. Porter ; Cassandra M. Roque ; John H. Long Jr.Source :
- Journal of Morphology [ 0362-2525 ] ; 2009-08.
English descriptors
- KwdEn :
Abstract
Given the diversity of vertebral morphologies among fishes, it is tempting to propose causal links between axial morphology and body curvature. We propose that shape and size of the vertebrae, intervertebral joints, and the body will more accurately predict differences in body curvature during swimming rather than a single meristic such as total vertebral number alone. We examined the correlation between morphological features and maximum body curvature seen during routine turns in five species of shark: Triakis semifasciata, Heterodontus francisci, Chiloscyllium plagiosum, Chiloscyllium punctatum, and Hemiscyllium ocellatum. We quantified overall body curvature using three different metrics. From a separate group of size‐matched individuals, we measured 16 morphological features from precaudal vertebrae and the body. As predicted, a larger pool of morphological features yielded a more robust prediction of maximal body curvature than vertebral number alone. Stepwise linear regression showed that up to 11 features were significant predictors of the three measures of body curvature, yielding highly significant multiple regressions with r2 values of 0.523, 0.537, and 0.584. The second moment of area of the centrum was always the best predictor, followed by either centrum length or transverse height. Ranking as the fifth most important variable in three different models, the body's total length, fineness ratio, and width were the most important non‐vertebral morphologies. Without considering the effects of muscle activity, these correlations suggest a dominant role for the vertebral column in providing the passive mechanical properties of the body that control, in part, body curvature during swimming. J. Morphol., 2009. © 2009 Wiley‐Liss, Inc.
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DOI: 10.1002/jmor.10732
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ISTEX:0FD064F26A7BB0C7DCBA87A927D21DB1F75F11EFLe document en format XML
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We propose that shape and size of the vertebrae, intervertebral joints, and the body will more accurately predict differences in body curvature during swimming rather than a single meristic such as total vertebral number alone. We examined the correlation between morphological features and maximum body curvature seen during routine turns in five species of shark: Triakis semifasciata, Heterodontus francisci, Chiloscyllium plagiosum, Chiloscyllium punctatum, and Hemiscyllium ocellatum. We quantified overall body curvature using three different metrics. From a separate group of size‐matched individuals, we measured 16 morphological features from precaudal vertebrae and the body. As predicted, a larger pool of morphological features yielded a more robust prediction of maximal body curvature than vertebral number alone. Stepwise linear regression showed that up to 11 features were significant predictors of the three measures of body curvature, yielding highly significant multiple regressions with r2 values of 0.523, 0.537, and 0.584. The second moment of area of the centrum was always the best predictor, followed by either centrum length or transverse height. Ranking as the fifth most important variable in three different models, the body's total length, fineness ratio, and width were the most important non‐vertebral morphologies. Without considering the effects of muscle activity, these correlations suggest a dominant role for the vertebral column in providing the passive mechanical properties of the body that control, in part, body curvature during swimming. J. Morphol., 2009. © 2009 Wiley‐Liss, Inc.</div></front></TEI><istex><corpusName>wiley</corpusName><author><json:item><name>Marianne E. 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Stepwise linear regression showed that up to 11 features were significant predictors of the three measures of body curvature, yielding highly significant multiple regressions with r2 values of 0.523, 0.537, and 0.584. The second moment of area of the centrum was always the best predictor, followed by either centrum length or transverse height. Ranking as the fifth most important variable in three different models, the body's total length, fineness ratio, and width were the most important non‐vertebral morphologies. Without considering the effects of muscle activity, these correlations suggest a dominant role for the vertebral column in providing the passive mechanical properties of the body that control, in part, body curvature during swimming. J. 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Stepwise linear regression showed that up to 11 features were significant predictors of the three measures of body curvature, yielding highly significant multiple regressions with r2 values of 0.523, 0.537, and 0.584. The second moment of area of the centrum was always the best predictor, followed by either centrum length or transverse height. Ranking as the fifth most important variable in three different models, the body's total length, fineness ratio, and width were the most important non‐vertebral morphologies. Without considering the effects of muscle activity, these correlations suggest a dominant role for the vertebral column in providing the passive mechanical properties of the body that control, in part, body curvature during swimming. J. 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We propose that shape and size of the vertebrae, intervertebral joints, and the body will more accurately predict differences in body curvature during swimming rather than a single meristic such as total vertebral number alone. We examined the correlation between morphological features and maximum body curvature seen during routine turns in five species of shark: <i>Triakis semifasciata</i>, <i>Heterodontus francisci</i>, <i>Chiloscyllium plagiosum</i>, <i>Chiloscyllium punctatum</i>, and <i>Hemiscyllium ocellatum</i>. We quantified overall body curvature using three different metrics. From a separate group of size‐matched individuals, we measured 16 morphological features from precaudal vertebrae and the body. As predicted, a larger pool of morphological features yielded a more robust prediction of maximal body curvature than vertebral number alone. Stepwise linear regression showed that up to 11 features were significant predictors of the three measures of body curvature, yielding highly significant multiple regressions with <i>r</i><sup>2</sup> values of 0.523, 0.537, and 0.584. The second moment of area of the centrum was always the best predictor, followed by either centrum length or transverse height. Ranking as the fifth most important variable in three different models, the body's total length, fineness ratio, and width were the most important non‐vertebral morphologies. Without considering the effects of muscle activity, these correlations suggest a dominant role for the vertebral column in providing the passive mechanical properties of the body that control, in part, body curvature during swimming. J. Morphol., 2009. © 2009 Wiley‐Liss, Inc.</p></abstract></abstractGroup></contentMeta></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Turning maneuvers in sharks: Predicting body curvature from axial morphology</title></titleInfo><titleInfo type="abbreviated" lang="en"><title>Predicting Body Curvature in Turning Sharks</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Turning maneuvers in sharks: Predicting body curvature from axial morphology</title></titleInfo><name type="personal"><namePart type="given">Marianne E.</namePart><namePart type="family">Porter</namePart><affiliation>Biology Department, Vassar College, Poughkeepsie, New York 12604</affiliation><affiliation>Biology Department, Vassar College, 124 Raymond Ave., Box 731, Poughkeepsie, NY 12604, USA</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Cassandra M.</namePart><namePart type="family">Roque</namePart><affiliation>Comparative and Evolutionary Physiology, Department of Ecology and Evolutionary Biology, University of California, Irvine, California, 92697‐2525</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">John H.</namePart><namePart type="family">Long Jr.</namePart><affiliation>Biology Department, Vassar College, Poughkeepsie, New York 12604</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article"></genre><originInfo><publisher>Wiley Subscription Services, Inc., A Wiley Company</publisher><place><placeTerm type="text">Hoboken</placeTerm></place><dateIssued encoding="w3cdtf">2009-08</dateIssued><dateCaptured encoding="w3cdtf">2008-07-07</dateCaptured><dateValid encoding="w3cdtf">2009-01-03</dateValid><copyrightDate encoding="w3cdtf">2009</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType><extent unit="figures">9</extent><extent unit="tables">6</extent><extent unit="references">42</extent><extent unit="words">1028</extent></physicalDescription><abstract lang="en">Given the diversity of vertebral morphologies among fishes, it is tempting to propose causal links between axial morphology and body curvature. We propose that shape and size of the vertebrae, intervertebral joints, and the body will more accurately predict differences in body curvature during swimming rather than a single meristic such as total vertebral number alone. We examined the correlation between morphological features and maximum body curvature seen during routine turns in five species of shark: Triakis semifasciata, Heterodontus francisci, Chiloscyllium plagiosum, Chiloscyllium punctatum, and Hemiscyllium ocellatum. We quantified overall body curvature using three different metrics. From a separate group of size‐matched individuals, we measured 16 morphological features from precaudal vertebrae and the body. As predicted, a larger pool of morphological features yielded a more robust prediction of maximal body curvature than vertebral number alone. Stepwise linear regression showed that up to 11 features were significant predictors of the three measures of body curvature, yielding highly significant multiple regressions with r2 values of 0.523, 0.537, and 0.584. The second moment of area of the centrum was always the best predictor, followed by either centrum length or transverse height. Ranking as the fifth most important variable in three different models, the body's total length, fineness ratio, and width were the most important non‐vertebral morphologies. Without considering the effects of muscle activity, these correlations suggest a dominant role for the vertebral column in providing the passive mechanical properties of the body that control, in part, body curvature during swimming. J. Morphol., 2009. © 2009 Wiley‐Liss, Inc.</abstract><note type="funding">Society of Integrative and Comparative Biology</note><note type="funding">American Elasmobranch Society to MEP</note><note type="funding">National Science Foundation - No. IBM 0317155; No. DBI 0442269; </note><subject lang="en"><genre>keywords</genre><topic>turning</topic><topic>shark</topic><topic>body curvature</topic><topic>morphology</topic><topic>vertebral column</topic></subject><relatedItem type="host"><titleInfo><title>Journal of Morphology</title></titleInfo><titleInfo type="abbreviated"><title>J. Morphol.</title></titleInfo><genre type="journal">journal</genre><subject><genre>article-category</genre><topic>Research Article</topic></subject><identifier type="ISSN">0362-2525</identifier><identifier type="eISSN">1097-4687</identifier><identifier type="DOI">10.1002/(ISSN)1097-4687</identifier><identifier type="PublisherID">JMOR</identifier><part><date>2009</date><detail type="volume"><caption>vol.</caption><number>270</number></detail><detail type="issue"><caption>no.</caption><number>8</number></detail><extent unit="pages"><start>954</start><end>965</end><total>12</total></extent></part></relatedItem><identifier type="istex">0FD064F26A7BB0C7DCBA87A927D21DB1F75F11EF</identifier><identifier type="DOI">10.1002/jmor.10732</identifier><identifier type="ArticleID">JMOR10732</identifier><accessCondition type="use and reproduction" contentType="copyright">Copyright © 2009 Wiley‐Liss, Inc.</accessCondition><recordInfo><recordContentSource>WILEY</recordContentSource><recordOrigin>Wiley Subscription Services, Inc., A Wiley Company</recordOrigin></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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