We present a compilation of endocranial volumes (ECV) for 176 non-human primate species, based on individual data collected from 3813 museum specimens, at least 88% being wild-caught. In combination with body mass data from wild individuals, strong correlations between endocranial volume and body mass within taxonomic groups were found. Errors attributable to different techniques for measuring cranial capacity were negligible and unbiased. The overall slopes for regressions of log ECV on log body mass in primates are 0.773 for least-squares regression and 0.793 for reduced major axis regression. The leastsquares slope is reduced to 0.565 when independent contrasts are substituted for species means (branch lengths from molecular studies). A common slope of 0.646 is obtained with logged species means when grade shifts between major groups are taken into account using ANCOVA. In addition to providing a comprehensive and reliable database for comparative analyses of primate brain size, we show that the scaling relationship between brain mass and ECV does not differ significantly from isometry in primates. We also demonstrate that ECV does not differ substantially between captive and wild samples of the same species. ECV may be a more reliable indicator of brain size than brain mass, because considerably larger samples can be collected to better represent the full range of intraspecific variation. We also provide support for the maternal energy hypothesis by showing that BMR and gestation period are both positively correlated with brain size in primates, after controlling for the influence of body mass and potential effects of phylogenetic relatedness.
Simple ratios in which a measurement variable is divided by a size variable are commonly used but known to be inadequate for eliminating size correlations from morphometric data. Deficiencies in the simple ratio can be alleviated by incorporating regression coefficients describing the bivariate relationship between the measurement and size variables. Recommendations have included: 1) subtracting the regression intercept to force the bivariate relationship through the origin (intercept-adjusted ratios); 2) exponentiating either the measurement or the size variable using an allometry coefficient to achieve linearity (allometrically adjusted ratios); or 3) both subtracting the intercept and exponentiating (fully adjusted ratios). These three strategies for deriving size-adjusted ratios imply different data models for describing the bivariate relationship between the measurement and size variables (i.e., the linear, simple allometric, and full allometric models, respectively). Algebraic rearrangement of the equation associated with each data model leads to a correctly formulated adjusted ratio whose expected value is constant (i.e., size correlation is eliminated). Alternatively, simple algebra can be used to derive an expected value function for assessing whether any proposed ratio formula is effective in eliminating size correlations. Some published ratio adjustments were incorrectly formulated as indicated by expected values that remain a function of size after ratio transformation. Regression coefficients incorporated into adjusted ratios must be estimated using least-squares regression of the measurement variable on the size variable. Use of parameters estimated by any other regression technique (e.g., major axis or reduced major axis) results in residual correlations between size and the adjusted measurement variable. Correctly formulated adjusted ratios, whose parameters are estimated by least-squares methods, do control for size correlations. The size-adjusted results are similar to those based on analysis of least-squares residuals from the regression of the measurement on the size variable. However, adjusted ratios introduce size-related changes in distributional characteristics (variances) that differentially alter relationships among animals in different size classes.
Dental dimensions and distributions of dental dimensions of males and females were compared for great apes (Pan, Gorilla, and Pongo, and humans (Homo). The results were examined and discussed with reference to fossil primates Sivapithecus and Ramapithecus. The analyses focused on patterns of sexual dimorphism, both with regard to mean dimensions and the distribution of those dimensions. Sex differences in mean canine dimensions were large and significant for Gorilla and Pongo; significant but smaller for Pan, and small but occasionally significant for Homo. The dispersions of measures were greater for males than for females in Gorilla and Pan but did not differ significantly for Pongo or Homo. Examination of the noncanine teeth revealed complex sex differences. In the anterior teeth, sex differences in mean dimensions were generally apparent for Gorilla and Pongo, less so for Pan, and least of all in Homo. The patterns of dispersion of measures of' anterior teeth differed markedly from those of the canines. Pan exhibited the same pattern for anterior and canine teeth. Gorilla showed the opposite pattern. Pongo and Homo showed similar dispersions for males and females in many cases. Sex differences in posterior teeth followed the pattern of the canines for Gorilla and were absent for Pan. Pongo exhibited mean differences in dimensions across sex, but dispersions were similar. The pattern for Homo was most like that of Pongo, but with fewer significant differences.The genera differed with regard to the number of significant differences in means or dispersions along the tooth row. It is clear that the patterns of dimorphism differ qualitatively across all extant genera of great apes and humans. It appears that the pattern for Homo most closely resembles that of Ramapithecus, whereas Pongo most closely resembles Siuapithecus. The patterns for Gorilla and Pan appear to be unlike either of the fossil forms. It is suggested that the qualitatively distinct patterns of dental sexual dimorphism indicate substantial flexibility during recent primate evolution and that the degree of structural flexibility demonstrated provides a basis for appreciating potential for plasticity of gender differences in behavioral, social, and cultural systems.
Studies of sexual dimorphism in the dental dimensions of some extant and fossil hominoids have been carried out by means of univariate statistical methods [Oxnard et al., 19851. The study reported here extended these studies with multivariate statistical methods (canonical variates analyses). The extant genera studied were Gorilla, Pan, Pongo, and Homo. The fossil teeth interpolated were those of the recently discovered ramapithecines from Yunnan Province, China. For both extant and fossil species, the lengths and breadths of all maxillary and mandibular teeth were used except for the third molar, which was excluded because of its absence in so many human subjects. The nature of sexual dimorphism in the dentition of extant apes and humans was assessed, and the positions of the fossil teeth within the multivariate results for the extant forms was examined. Among the apes, the greatest sexual dimorphism was seen in Gorilla; the least was seen in Pan. Three different patterns of sexual dimorphism were apparent among the three ape species. The maxillary and mandibular patterns were different in Gorilla and Pan but more similar in Pongo. The African apes showed greater differences between variances for each sex and of each jaw; these features may have evolved most recently. The conventional notion that sexual dimorphism is mainly due to size and size-related shape effects along a single continuum or axis was rejected. The interpolation of the fossil data placed Siuapithecus close to each of the more dimorphic apes, especially Pongo, but also showed that it had higher order differences from the extant forms studied. Ramapithecus was most similar to Homo. These results have implications both for the role of sexual dimorphism in the evolution of higher primates and for the phylogenetic relationships among them.
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