Fig. 2
From: An interspecific assessment of Bergmann’s rule in 22 mammalian families
Optimal regression slopes for all body mass models. The dots give the steepness and direction of slopes (β) for all models in Table 1, where Bergmann’s rule is tested. The lines show the 95 % confidence intervals of the β estimates. When a β estimate lies outside the range of the plot, this is indicated by an arrowhead. AICc-θAICc denotes the difference in AIC between the respective adaption model and the intercept-only model, and r 2 gives the amount of variation in body mass explained by the optimal regression. AICc-θAICc < −2 are bolded. Each family was analyzed with three separate models, with one predictor variable in each