1985
DOI: 10.1139/z85-213
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An empirical evaluation of several univariate methods that adjust for size variation in morphometric data

Abstract: A variety of univariate transformations that attempt to separate size and shape variation are available: logarithms, ratios, logarithms of ratios, allometric adjustment, and regression techniques (major axis, residuals). Using the same basic data set derived from morphometric measurements of a freshwater fish, these transformations were examined for their effects upon variable distributions, correlations, and covariances. Those that were at least partly effective in removing size variation affected the correla… Show more

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Cited by 464 publications
(340 citation statements)
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“…Body condition for captured fish was estimated by the residuals from a linear regression of weight on fork length, which has been demonstrated to remove the effects of size variation and is considered an appropriate condition index for the weight-length relationship in fish (Reist, 1985;Cone, 1989;Sutton et al, 2000). If significance was observed in relation to angling duration, one-way analysis of variance (ANOVA) was used to determine whether there were significant changes over time (by minute of angling duration) in extended capture fish.…”
Section: Methodsmentioning
confidence: 99%
“…Body condition for captured fish was estimated by the residuals from a linear regression of weight on fork length, which has been demonstrated to remove the effects of size variation and is considered an appropriate condition index for the weight-length relationship in fish (Reist, 1985;Cone, 1989;Sutton et al, 2000). If significance was observed in relation to angling duration, one-way analysis of variance (ANOVA) was used to determine whether there were significant changes over time (by minute of angling duration) in extended capture fish.…”
Section: Methodsmentioning
confidence: 99%
“…This transformation best reflected shape variation among groups independently of size (Reist 1985). The standardised morphometric characters showed no significant correlation with standard length (P!0.05 for all characters), indicating that the allometric transformation had successfully removed the length effects.…”
Section: Morphometric Analysismentioning
confidence: 92%
“…Measurements of each morphometric character were standardized to fish size (SL) in accordance with Reist (1985) to remove size-effect using percentage standard length as it follows: Mn=(Mo/SL)%, where: Mo is the original measurement; and SL is the standard length.…”
Section: Morphometric Data Analysismentioning
confidence: 99%