Table 4.

Parameter estimates for the best‐fitting MLPE regression models (ΔAIC < 20; see Table 3) and NMLPE regression models (unbiased by spatial dependence; in parentheses)

Predictors	Estimate	SE	CI
Temperature annual range	−0.14 (−0.09)	0.001 (0.003)	−0.14/−0.14 (−0.1/−0.09)
Inverted forest cover	−0.11 (−0.07)	0.002 (0.005)	−0.12/−0.11 (−0.08/−0.06)
Altitude	−0.02 (−0.01)	0.001 (0.003)	−0.02/−0.02 (−0.01/−0.001)
Terrain roughness	−0.01 (−0.02)	0.002 (0.005)	−0.01/−0.001 (−0.03/−0.01)
Geographic distance	−0.14 (−0.15)	0.001 (0.001)	−0.14/−0.14 (−0.1/−0.08)

Estimates are followed by standard errors (SE) and 95% confidence intervals (CI). Although the isolation by geographic distance was not among the top models, we include it here for comparison.