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. 2012 Jul 5;7(7):e40105. doi: 10.1371/journal.pone.0040105

Table 3. Effect of covariatesa on occupancy (Inline graphic).

Modelb ΔAIC AIC weight Number of parameters Deviance (-2 Log-likelihood)
ψ (B × WildP) 0 0.654 12 837.02
ψ (B × Dist) 3.05 0.142 12 840.07
ψ (WildP) 4.03 0.087 10 845.05
ψ (B × Hab) 4.18 0.081 12 841.2
ψ (B) 6.32 0.027 10 847.34
ψ (B × PrincipP) 9.81 0.004 12 846.82
ψ (Hab) 12 0.001 10 853.02
ψ (Dist) 14.69 0.0004 10 855.71
ψ (PrincipP) 18.97 0 10 859.99

Note: Model rankings are based on Akaike’s Information Criterion (AIC).

a

Covariates used to model detection probability were Block (B), Wild prey index (WildP), Principal prey index (PrincipP), Disturbance (Dist) and proportional habitat per cell (Hab).

b

In all models the probability of detection (Inline graphic) was modelled as ‘B + Substrate’ based on model selection results presented in Table 1. Segment-level occupancy parameters (Inline graphic and Inline graphic) were modelled on ‘B’ (Block). ‘×’ denotes covariates were modelled as an interaction.