Table 2.

The best-fitting general linear models (ΔAIC < 2) for threatened language richness and threatened mammal species richness (using negative binomial and Poisson error distributions respectively) according to the following geographical predictor variables: elevation, distance to the coast and latitude. (Coefficient estimates, standard errors (s.e.), and z- and p-values are provided. Variance inflation factors for all variables were less than or equal to 1.35.)

response variable	coefficient	estimate	s.e.	z-value	p-value
threatened language richness	intercept	1.52	0.14	10.76	<0.001
	elevation	−2.83 × 10−4	1.13 × 10−4	−2.49	0.01
	distance	−4.12 × 10−6	1.14 × 10−6	−3.62	<0.001
	latitude	0.18	0.02	7.52	<0.001
threatened mammal richness	intercept	0.76	0.11	6.81	<0.001
	elevation	1.85 × 10−4	1.31 × 10−5	1.41	0.16
	distance	−1.52 × 10−6	5.56 × 10−7	−2.74	0.01
	latitude	−0.01	0.02	−0.46	0.65
	elevation × latitude	−6.22 × 10−5	2.25 × 10−5	−2.76	0.01