Figure 1.
Details of the study area in Portugal, with location of the four studied roads and overlay of the habitat suitability map for the tawny owl (Roads N4 and N114 are national roads, and M529 and M370 are municipal roads; darker areas in the habitat suitability map indicate higher presence probability).
Table 1.
Name, description, and summary statistics of untransformed explanatory variables (mean, standard deviation, and range values).
Table 2.
Model selection for the tawny owl roadkill data based upon Akaike information criterion (Mod #: Model number; Variables in the model: variables included in each model; df: degrees of freedom; ΔAICc: AICc differences; Model prob (wI): model probabilities; Evid ratio: evidence ratios of each model; Adj R2: adjusted R2 of each model; VIF: variance inflation factor of each model; The evidence ratio provides a measure of how better is each model relatively to the null model (model 0); see Table 1 for variable codes).
Table 3.
Results of the ecological (EM) and the complete models (CM), and of the hierarchical partitioning applied to tawny owl roadkill data (Regression models – Coefficient: model coefficients of the explanatory variables, S.E.: standard errors, t-value: t test, p-value significance of the t test for the ecological and complete models; Hierarchical partitioning – I: independent contribution, J: joint contribution, Total: total contribution, I(%): percent independent contributions of individual variables for the explained variance of roadkill data, Z-score: statistical significance of independent contribution of variables, *p<0.05; see Table 1 for variable codes.