Table 3.

GLM to relate the most important traits in the morphological groups of M. rupestris with climate and dispersal variables (spatial autocorrelation).

Predictor variables	H		SNF		FL		P		PC1
	E	P	E	P	E	P	E	P	E	P
(Intercept)	0.11	0.246	1.82	<0.0001	-0.11	0.0074	-0.09	0.07	-1.52	<0.0001
Temperature Seasonality (standard deviation ×100)	0.003	0.0004	-0.006	<0.0001	0.002	<0.0001	0.0007	0.05	0.006	<0.0001
Precipitation Seasonality (Coefficient of Variation)	0.012	<0.0001	-0.04	<0.0001	0.011	<0.0001	0.009	<0.0001	0.042	<0.0001
Spatial autocorrelation (dispersal)	-0.17	0.006	0.28	0.0129	-0.033	0.2188	0.12	0.0002	0.305	0.0184

E, Coefficient estimator; P, p-value (95% probability).