2009
DOI: 10.1590/s1415-47572009005000004
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Modeling body size evolution in Felidae under alternative phylogenetic hypotheses

Abstract: The use of phylogenetic comparative methods in ecological research has advanced during the last twenty years, mainly due to accurate phylogenetic reconstructions based on molecular data and computational and statistical advances. We used phylogenetic correlograms and phylogenetic eigenvector regression (PVR) to model body size evolution in 35 worldwide Felidae (Mammalia, Carnivora) species using two alternative phylogenies and published body size data. The purpose was not to contrast the phylogenetic hypothese… Show more

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Cited by 11 publications
(17 citation statements)
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“…The dominance of phylogenetically structured phenotypic variance in absolute bite force indicates a strong phylogenetic signal and thus inertia in phenotypic changes associated with this biomechanical variable. However, because our morphometric variables still incorporate size information (PC1 is greatly associated with size and explains most of the morphological variance), and as Diniz‐Filho & Nabout (2009) report that 65% to 67% of the variance in felid body mass is explained by phylogeny, the inertia or constraint put upon the evolution of absolute bite force is perhaps mostly because of whatever evolutionary constraint that works on body size evolution. Indeed, skeletal muscle mass has been observed to represent a constant proportion of total body mass (Calder, 1984; Schmidt‐Nielsen, 1984), and muscle force has been also argued to be constrained by size increase at a theoretical scaling factor of 2/3 [or M 0.67 where M is body mass (Calder, 1984; Schmidt‐Nielsen, 1984; Swartz & Biewener, 1992)].…”
Section: Discussionmentioning
confidence: 99%
“…The dominance of phylogenetically structured phenotypic variance in absolute bite force indicates a strong phylogenetic signal and thus inertia in phenotypic changes associated with this biomechanical variable. However, because our morphometric variables still incorporate size information (PC1 is greatly associated with size and explains most of the morphological variance), and as Diniz‐Filho & Nabout (2009) report that 65% to 67% of the variance in felid body mass is explained by phylogeny, the inertia or constraint put upon the evolution of absolute bite force is perhaps mostly because of whatever evolutionary constraint that works on body size evolution. Indeed, skeletal muscle mass has been observed to represent a constant proportion of total body mass (Calder, 1984; Schmidt‐Nielsen, 1984), and muscle force has been also argued to be constrained by size increase at a theoretical scaling factor of 2/3 [or M 0.67 where M is body mass (Calder, 1984; Schmidt‐Nielsen, 1984; Swartz & Biewener, 1992)].…”
Section: Discussionmentioning
confidence: 99%
“…First, we used the coefficients of determination (R 2 ) of the models as measures of goodness of fit. As a second criterion, we used the Akaike information criterion (AIC) to select the best model in terms of minimum adequate model (Diniz‐Filho and Nabout 2009), which can be viewed as representing a compromise between the magnitude of phylogenetic signal captured by the regression and the number of eigenvectors used. To measure the amount of phylogenic structure of D retained by the eigenvectors, we also computed, for each set of eigenvectors, an Euclidean distance among species based on the selected eigenvectors, and correlated this matrix with the original matrix of phylogenetic distances (this is called cophenetic correlation in multivariate analyses –Sokal and Rohlf 1962, Legendre and Legendre 1998).…”
Section: Methodsmentioning
confidence: 99%
“…We use a global Carnivora database with log-transformed body size data for 209 species (see Diniz-Filho et al 2009 for details) to illustrate the application of PVR and to evaluate the approaches used to select eigenvectors (see below). We used diff erent sets of eigenvectors in an OLS multiple regression model of the form…”
Section: Data and The Basic Pvr Modelmentioning
confidence: 99%
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