Table 2.
Species/Model | Δ AIC | AIC w | k | −2 log like | Intercept | SE | Beta1 | SE | Beta2 | SE |
---|---|---|---|---|---|---|---|---|---|---|
Giant anteater | ||||||||||
Ψ(.), p(.) | 0.00 | 1.00 | 2 | 298.29 | ||||||
Lesser anteater | ||||||||||
Ψ(veg), p(.) | 0.00 | 0.53 | 3 | 165.42 | −0.73 | 0.76 | 2.03 | 1.14 | ||
Ψ(.), p(.) | 1.62 | 0.23 | 2 | 169.47 | ||||||
Nine-banded armadillo | ||||||||||
Ψ(veg), p(.) | 0.00 | 0.42 | 3 | 36.02 | −23.65 | 4.38 | 22.74 | 4.38 | ||
Ψ(.), p(.) | 0.79 | 0.28 | 2 | 38.81 | ||||||
Ψ(veg + dist), p(.) | 1.78 | 0.17 | 4 | 35.80 | −26.10 | 4.77 | 28.33 | 4.57 | −0.50 | 0.79 |
Fox | ||||||||||
Ψ(.), p(veg) | 0.00 | 1.00 | 3 | 274.77 | ||||||
Jaguarundi | ||||||||||
Ψ(.), p(.) | 0.00 | 0.50 | 2 | 118.25 | ||||||
Ψ(veg + dist), p(.) | 0.71 | 0.35 | 4 | 113.93 | −12.47 | 9.14 | 22.13 | # | 1.79 | 1.37 |
Ocelot | ||||||||||
Ψ(dist), p(.) | 0.00 | 0.43 | 3 | 104.74 | 46.00 | # | −6.44 | # | ||
Ψ(.), p(.) | 0.16 | 0.40 | 2 | 107.33 | ||||||
Ψ(veg), p(.) | 1.87 | 0.17 | 3 | 106.61 | 0.61 | 1.57 | 25.57 | # | ||
Crab-eating Raccoon | ||||||||||
Ψ(dist), p(.) | 0.00 | 0.45 | 3 | 76.94 | −11.34 | 5.21 | 1.65 | 0.83 | ||
Ψ(.), p(.) | 1.23 | 0.24 | 2 | 80.17 | ||||||
Ψ(veg + dist), p(.) | 1.59 | 0.20 | 4 | 76.53 | −12.72 | 5.41 | 0.83 | 1.29 | 1.77 | 0.82 |
White tailed deer | ||||||||||
Ψ(veg), p(.) | 0.00 | 0.64 | 3 | 119.14 | −1.88 | 1.13 | 3.28 | 1.73 | ||
Ψ(veg + dist), p(.) | 1.79 | 0.26 | 4 | 118.33 | 6.56 | 17.90 | 3.51 | 2.81 | −1.31 | 2.76 |
Capybara | ||||||||||
Ψ(veg + dist), p(.) | 0.00 | 0.45 | 4 | 39.58 | −4.57 | 16.54 | 22.07 | 14.28 | −3.20 | 1.68 |
Ψ(dist), p(.) | 0.10 | 0.42 | 3 | 41.68 | 16.44 | 10.01 | −3.10 | 1.74 | ||
Common opossum | ||||||||||
Ψ(.), p(.) | 0.00 | 0.43 | 2 | 162.84 | ||||||
Ψ(dist), p(.) | 1.24 | 0.23 | 3 | 161.65 | −4.58 | 3.46 | 0.63 | 0.53 | ||
Ψ(veg), p(.) | 1.38 | 0.21 | 3 | 161.79 | −1.05 | 0.68 | 0.81 | 0.81 |
Notes: Δ AICc: difference in AIC values between each model with the lowest AIC model (best model); AICω: Akaike weight.; k: number of parameters in the model; SE: standard error. Understory vegetation is a binary covariate with 0 = clean or low understory vegetation (the intercept), and 1 = medium to high understory (beta), nearest distance to forest in log10, # = high standard errors, this does not affect the direction or effect of the untransformed beta estimate (Hines, 2006).