. Bonner zoologische Beiträge : Herausgeber: Zoologisches Forschungsinstitut und Museum Alexander Koenig, Bonn. Biology; Zoology. European populations of striped field mouse 207. Fig. 2: Skull of Apodemus agrarius with the cranial measurements 1 to 9 indicated (measure- ments 10 to 14 not shown). For abbreviations see text. Linear Discriminant Function Analysis using the pooled variance-covariance matrix was performed to compute the distances between different samples maximizing the between-group versus the within-group variance. It requires a beforehand allocation of individual specimens to o
. Bonner zoologische Beiträge : Herausgeber: Zoologisches Forschungsinstitut und Museum Alexander Koenig, Bonn. Biology; Zoology. European populations of striped field mouse 207. Fig. 2: Skull of Apodemus agrarius with the cranial measurements 1 to 9 indicated (measure- ments 10 to 14 not shown). For abbreviations see text. Linear Discriminant Function Analysis using the pooled variance-covariance matrix was performed to compute the distances between different samples maximizing the between-group versus the within-group variance. It requires a beforehand allocation of individual specimens to one of the a priori determined groups (Neff & Smith 1979). We graphically demonstrate the differences between the groups (= populations) by a Neighbour-Joining tree (cf. Nei 1987) clustering the Mahalanobis distances of individual canonical variable scores from group cen- troids. Finding classification functions was computationally realized with the 'Stepwise Discri- mination Analysis BMDP-subroutine 7M'. Clustering was done with NTSYS. Size and shape covary, and unless isometry pertains, such covariation implies a changing relationship between size and shape (Gould 1966). To study this finally, multivariate static allometric coefficients for the 14 cranial variables were calculated to look at the influence of covariation of shape and form dimensions related to size differentiation (Leamy & Bradley 1982). In a first step we performed principal component analyses separately for each population sample (Smith & Patton 1988). Because the first principal component (PCI) of our data satis- fies interpretation as a general size factor, the position (= score) of an individual on PCI is a measure of its overall body size, while the "raw" loadings (= elements of the eigenvector). Please note that these images are extracted from scanned page images that may have been digitally enhanced for readability - coloration and appearance of these illustrations may not perfect
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