Table 5. Results from linear mixed-effects models on rate of forest loss.

A
Fixed effects: rate of forest loss ∼ mean elevation + time + income per capita + population density(AIC value = 2200)
	Value	Std. Error	DF	t-value	p-value
Intercept	1.0807	0.1539	340	7.0184	0.0000
Mean elevation	−0.0006	0.0001	340	−6.3430	0.0000
Time	−0.3240	0.0974	323	−3.3253	0.0010
Income per capita	0.0001	0.0000	323	2.9992	0.0029
Population density	0.0011	0.0005	323	2.3181	0.0211
B
Fixed effects: rate of forest loss ∼ mean elevation + time + population density (AIC value = 2208)
	Value	Std. Error	DF	t-value	p-value
Intercept	1.2199	0.1482	340	8.2297	0.0000
Mean elevation	−0.0008	0.0001	340	−7.8899	0.0000
Time	−0.1833	0.0865	324	−2.1191	0.0348
Population density	0.0017	0.0005	324	3.6614	0.0003

A) Fixed effects including all the variables. B) Fixed effects excluding income per capita. According to AIC values, the random intercept model was the optimal structure of the random component.