Table 4.
Results of the model that evaluates the number of collisions in relation to different variables at the national scale.
| Coefficients | Estimates | Std. Error | z-value | 95% Conf. Int. | p-value [Pr(>|z|)] | |
|---|---|---|---|---|---|---|
| Lower | Upper | |||||
| β0 (Intercept) | −0.22 | 1.47 | −0.15 | −3.10 | 2.67 | 0.882 |
| β1 (Reflection: Yes) | 4.43 | 1.27 | 3.49 | 1.95 | 6.91 | <0.001 |
| β2 (Natural_Attractor: Yes) | −1.41 | 1.64 | −0.86 | −4.62 | 1.80 | 0.390 |
| β3 (Artificial_Attractor: Yes) | 0.61 | 0.52 | 1.17 | −0.41 | 1.63 | 0.244 |
| β4 (Windows) | −0.48 | 1.18 | −0.40 | −2.80 | 1.85 | 0.688 |
We show the estimated value (natural logarithm scale) of the intercept and regression coefficient of each variable, the standard error, the z-value and its associated p-value, and the lower and upper limits of the 95% confidence interval. Significant p-values are highlighted in bold. β0 is the baseline level of bird-window collisions representing the situation of buildings with no reflection and no natural or artificial attractors.
β1 is the regression coefficient that represents the effect of window reflection on the number of birds colliding; β2 is the regression coefficient that represents the effect of the presence of natural attractors surrounding the building; β3 is the regression coefficient that represents the effect of the presence of artificial attractors, and β4 is the regression coefficient that represents the effect of the number of windows on the number of birds that collide.