Table 4. Results of traffic models analyzing habitat and road characteristics related to polecat road casualties using only data points associated with traffic counts (n = 150 presence, 1,058 pseudo-absence).
The conditional average model was created from the top subset (Δ AIC ≤ 2) of fourteen models. Regression coefficients (β) and 95% confidence intervals (±95% CI) are given as well as the significance of each variable where * P < 0.05, ** P < 0.01, and *** P < 0.001. The weight of variables included in conditional average model is also given, with the importance (number of candidate models that contain the variable) in parentheses.
| Best- approximating model | Full average model | ||||
|---|---|---|---|---|---|
| Variable | β | 95% CI | β | 95% CI | Weight |
| Road density | 4.58 | 1.70*** | 4.05 | 0.83*** | 1.00 (14) |
| Distance to rabbits | 3.80 | 1.39*** | 3.86 | 1.39*** | 1.00 (14) |
| Traffic volume | 2.77 | 1.99** | 2.49 | 2.02* | 1.00 (14) |
| Elevation | −2.42 | 1.13*** | −2.41 | 1.13*** | 1.00 (14) |
| Patches | 1.14 | 0.19*** | 1.13 | 0.19*** | 1.00 (14) |
| PC1 | −1.12 | 0.32** | −1.13 | 0.32*** | 1.00 (14) |
| PC2 | −0.20 | 0.26 | −0.11 | 0.28 | 0.55 (7) |
| Waterway density | – | – | 0.56 | 0.90 | 0.43 (6) |
| Moran’s I | – | – | 1.12 | 4.11 | 0.38 (6) |
| PC3 | – | – | −0.05 | 0.20 | 0.33 (6) |
Notes.
P < 0.05.
P < 0.01.
P < 0.001.