1998
DOI: 10.1002/(sici)1097-4687(199808)237:2<137::aid-jmor5>3.0.co;2-z
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Visualizing allometry: Geometric morphometrics in the study of shape changes in the early stages of the two-banded sea bream,Diplodus vulgaris (Perciformes, Sparidae)

Abstract: The sea bream, Diplodus vulgaris, is a marine teleost widely distributed in the Mediterranean and eastern Atlantic coastal waters. The larvae colonize shallow waters along rocky shores where, after a short period spent in the water column, they settle. Such habitat transition is characterized by important shape changes, mostly related to their swimming capacity and feeding behavior. In this study, geometric morphometrics has been used to characterize shape changes during early juvenile life. All specimens were… Show more

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Cited by 88 publications
(75 citation statements)
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“…In the early 2000s, the emergence of the geometric morphometrics applied to fishes brought a new precise and accurate tool to bioecology, fisheries research and related areas (Loy et al 1998, Torres et al 2000. Ponton (2006) stated its use in otolithology and its reference has quickly become a classical citation.…”
Section: Discussionmentioning
confidence: 99%
“…In the early 2000s, the emergence of the geometric morphometrics applied to fishes brought a new precise and accurate tool to bioecology, fisheries research and related areas (Loy et al 1998, Torres et al 2000. Ponton (2006) stated its use in otolithology and its reference has quickly become a classical citation.…”
Section: Discussionmentioning
confidence: 99%
“…Loy et al 1998;Monteiro 1999). The amount of variation for which the regression model accounted was quantified as a percentage of the total shape variation, computed using the Procrustes metric (Goodall 1991;Klingenberg & McIntyre 1998).…”
Section: Methodsmentioning
confidence: 99%
“…Procrustes ANOVA was carried out to assess the relative amounts of variation among individuals and of measurement error using MorphoJ. In general, allometric changes between somatic parameters are expressed by a potential equation (see Lleonart et al 2000); however, in geometric morphometry, allometry is widely characterized by multivariate regression of shape on size (usually centroid size or log-transformed centroid size); such regressions often fit the data well and the allometric shape changes tend to affect the entire structures under study (Loy et al 1998, Mitteroecker et al 2004, Klingenberg and Marugán-Lobón 2013. Therefore, a regression between a regression score of each independent variable (Procrustes coordinates) and centroid size was carried out with MorphoJ (Sidlaukas et al 2011).…”
Section: Geometric Morphometricsmentioning
confidence: 99%