Table 1 in Breaking the Law: Is It Correct to Use the Converse Bergmann Rule in Ceroglossus chilensis? An Overview Using Geometric Morphometrics
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Table 1. GLMM model parameters and statistics for the complete dataset (All) and by geographic zones (North, Center and South). In each case, the compared factor levels are in parentheses. Values of p indicate statistical significance (p <0.05) in explaining the respective model variance. TraitFactorbSEtpAllIntercept−7.5160.140−53.54<0.0001Sex (female–male)0.0980.1110.870.3804Zone (C–N)0.1370.1750.780.4320Zone (C–S)−0.3220.155−2.070.0378Zone (N–S)−0.4600.140−3.280.0010NorthIntercept−7.4140.065−113.61<0.0001Sex (female–male)0.0770.0850.900.3660Population (PC–CC)−0.0550.081−0.680.4960CenterIntercept−7.5920.068−110.53<0.0001Sex (female–male)0.2700.0853.170.0015Population (PM–MZ)−0.0810.085−0.960.3290SouthIntercept−7.5750.051−145.80<0.0001Sex (female–male)0.0940.0481.960.049Population (B2–B1)−0.3840.059−6.42<0.0001Population (B3–B1)−0.5290.064−8.14<0.0001Population (B3–B2)0.1400.0562.480.0131
