Hypotheses that explain geographic variation in body size were examined usi
ng cranial measurements of 950 bobcats (Lynx rufus) from western North Amer
ica. 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 com
ponent. Males and females were examined separately, because they were signi
ficantly dimorphic in body size and because sex and locality exhibited a si
gnificant interaction. We expected that female body size would best reflect
environmental influences, because male size may be influenced by sexual se
lection. We found significant geographic variation in bobcat body size, wit
h about 44% of the variation in males and 47% of the variation in females a
ccounted for by comparison among the localities. We also found that variati
on in body size was associated with Bergmann's rule, as indicated by signif
icant multiple regression of body size of males (R-2 = 0.426) and females (
R-2 = 0.480) on latitude and elevation. Using correlation and regression an
alyses, we examined the association of body size with selected environmenta
l variables that represent the classical physiological explanation of Bergm
ann's rule, James' moisture-humidity modification of Bergmann's rule, Rosen
zweig's productivity hypothesis, and Boyce's seasonality hypothesis. Only t
he productivity hypothesis was not supported. The relative strengths of ass
ociations suggested, however, that James' modification was better supported
than the classical explanation for Bergmann's rule. Path analyses permitte
d further discrimination of hypotheses, and only the seasonality hypothesis
received significant support. As expected, this support was only evident f
or females. Path analysis may provide a tool for evaluating relative streng
ths of competing but correlated explanations of geographic variation.