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. 2016 Nov 30;11(11):e0166689. doi: 10.1371/journal.pone.0166689

Table 5. Comparison of the top fitting and null models in occupancy modeling under each survey method for species detected at southern Illinois, Dec 2015 –Feb 2016.

Species Method Modela Kb AICc ΔAICd ωe
Bobcat One Camera Ψ (EDGE + ELEVATION) p (FULL + PRECIP) 6 17.63 0.00 0.618
NULLf 2 30.95 13.32 0.001
Two Cameras Ψ (EDGE + ELEVATION) p (FULL X PRECIP) 5 24.28 0.00 0.869
NULL 2 36.14 11.86 0.002
Four Cameras Ψ (.) p (FULL X PRECIP) 3 48.92 0.00 0.147
NULL 2 53.00 4.08 0.019
Coyote One Camera Ψ (UNDERSTORY + ELEVATION) p (TEMP X PRECIP) 5 30.05 0.00 0.195
NULL 2 36.14 6.09 0.009
Two Cameras Ψ (UNDERSTORY + ELEVATION) p (TEMP X PRECIP) 5 30.05 0.00 0.195
NULL 2 36.14 6.09 0.009
Four Cameras Ψ (BA + ELEVATION) p (.) 4 48.51 0.00 0.281
NULL 2 53.00 4.49 0.029
Virginia Opossum One Camera Ψ (EDGE + SLOPE) p (PRECIP + TEMP) 6 26.92 0.00 0.760
NULL 2 46.40 19.18 0.000
Two Cameras Ψ (ELEVATION) p (PRECIP + TEMP) 5 45.15 0.00 0.126
NULL 2 53.00 7.85 0.002
Four Cameras Ψ (EDGE) p (PRECIP + TEMP) 5 54.74 0.00 0.135
NULL 2 68.98 14.24 0.000
White-tailed Deer One Camera Ψ (BA + EDGE) p (.) 4 58.25 0.00 0.552
NULL 2 67.63 9.38 0.005
Two Cameras Ψ (EDGE + SLOPE) p (.) 4 82.99 0.00 0.960
NULL 2 98.82 15.83 0.000
Four Cameras Ψ (SLOPE + ELEVATION) p (FULL X PRECIP) 5 110.53 0.00 0.326
NULL 2 115.98 5.45 0.021

Models were built in the statistical software R package ‘unmarked’[38]. Each survey method was offered identical detection and occupancy covariates. The top-ranked model for each species-specific survey method is given followed by the null model.

a BA, amount of basal area per camera-site; EDGE, distance to TTSF boundary; ELEVATION, meters above sea level at camera-site; FULL, unique detection probability per survey event; PRECIP, sum of precipitation recorded during survey period; SLOPE, the landscape grade of the camera-site; TEMP, average temperature recorded during survey period; UNDERSTORY, number of woody stems taller than 1.37 m and less than 5 cm dbh; (.), fixed, constant parameter among camera-sites or surveys.

bNumber of model parameters

cAkaike's Information Criterion

dChange in AIC value from the top-ranked model.

eModel weight; the probability of a model being the best approximating model among those evaluated.

fΨ(.)p(.)