Abstract

Hypotheses that explain geographic variation in body size were examined using cranial measurements of 950 bobcats (Lynx rufus) from western North America. Bobcats were divided into 25 geographic localities of similar habitats and landform (based on ecoregions). Principal component analyses were used to derive a single estimate of size from scores on the first principal component. Males and females were examined separately, because they were significantly dimorphic in body size and because sex and locality exhibited a significant interaction. We expected that female body size would best reflect environmental influences, because male size may be influenced by sexual selection. We found significant geographic variation in bobcat body size, with about 44% of the variation in males and 47% of the variation in females accounted for by comparison among the localities. We also found that variation in body size was associated with Bergmann's rule, as indicated by significant multiple regression of body size of males (R2 = 0.426) and females (R2 = 0.480) on latitude and elevation. Using correlation and regression analyses, we examined the association of body size with selected environmental variables that represent the classical physiological explanation of Bergmann's rule, James' moisture-humidity modification of Bergmann's rule, Rosenzweig's productivity hypothesis, and Boyce's seasonality hypothesis. Only the productivity hypothesis was not supported. The relative strengths of associations suggested, however, that James' modification was better supported than the classical explanation for Bergmann's rule. Path analyses permitted further discrimination of hypotheses, and only the seasonality hypothesis received significant support. As expected, this support was only evident for females. Path analysis may provide a tool for evaluating relative strengths of competing but correlated explanations of geographic variation.

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