Cranial allometry, phylogeography, and systematics of large-bodied papionins (primates: Cercopithecinae) inferred from geometric morphometric analysis of landmark data.

The cranial morphology of the African Old World monkeys Mandrillus, Papio, and Theropithecus (i.e., baboons) has been the subject of a number of studies investigating their systematic relationships, patterns of scaling, and growth.

MORPHOLOGICAL EVOLUTION IN MUROID RODENTS II. CRANIOMETRIC FACTOR DIVERGENCE IN SEVEN NEOTROPICAL GENERA, WITH EXPERIMENTAL RESULTS FROM ZYGODONTOMYS.

First principal components extracted from covariance matrices of log-transformed craniodental measurements closely approximate general size factors within field-collected samples representing 14 species in seven Neotropical muroid genera; because these samples are mixed-cross-sectional, scores are age-correlated and coefficients reflect postweaning growth allometries. Compared between congeners, sample first principal component coefficients are very similar, an observation that implies a nearly parallel orientation of ontogenetic trajectories in log-measurement space. On the assumption that a common general size factor (estimated as the first principal component of the pooled-within covariance matrix) accounts for most of the observed measurement covariance within samples, size-adjusted differences between congeneric species were estimated variable-by-variable in separate analyses of covariance; these differences reflect developmental adjustments of craniodental morphology that precede the measured interval of postweaning ontogeny.

MORPHOLOGICAL EVOLUTION IN MUROID RODENTS I. CONSERVATIVE PATTERNS OF CRANIOMETRIC COVARIANCE AND THEIR ONTOGENETIC BASIS IN THE NEOTROPICAL GENUS ZYGODONTOMYS.

Analyses of craniodental measurement data from 15 wild-collected population samples of the Neotropical muroid rodent genus Zygodontomys reveal consistent patterns of relative variability and correlation that suggest a common latent structure. Eigenanalysis of each sample covariance matrix of logarithms yields a first principal component that accounts for a large fraction of the total variance. Variances of subsequent sample principal components are much smaller, and the results of bootstrap resampling together with asymptotic statistics suggest that characteristic roots of the covariance matrix after the first are seldom distinct.