Table 2.

Akaike’s Information Criterion (AIC) and difference in AIC (AIC_i − AIC_min) for candidate models predicting the presence/absence of Arctic char

Model	AIC	ΔAIC
A + T + B	275.78	40.04
A + P + B	261.51	25.77
A + T + P	252.67	16.93
T + P + B	244.17	8.43
A + T + P + B + A:T + A:P + T:P + A:B + T:B + A:T:P	237.69	1.95
A + T + P + B	236.58	0.84
A + T + P + B + A:T + A:P + T:P + A:B + T:B	235.75	0.01
A + T + P + B + A:T	235.74	0

The full model included the following predictor variables: ln lake area (A), average annual air temperature (T), presence/absence of pike (P), presence/absence of brown trout (B), and several interactions. The model in bold was used to predict future distributions of Arctic char