Table 1.
Roe deer roadkill numbers in hunting statistics (assumed 100%), police reports and resulting report rates for the study period 2002–2006.
Fig 1.
Estimated smoothing curve for variation in deer-vehicle accident (DVA) frequency throughout the year.
The y-axis shows the contribution of the smoother to the fitted values; a cyclic cubic regression spline was used. The solid line is the smoother and the dashed lines are the 95% confidence bands.
Table 2.
Temporal differences in frequency of deer-vehicle accidents were analyzed by performing linear models, which allowed testing for sequential differences between consecutive temporal periods (seasons, months, days of week, time of day LR3 and LR5).
Fig 2.
Variation (mean ± SE) in deer-vehicle accident (DVA) frequency on consecutive days during the week.
Significant differences between days are indicated by different letters (multiple comparisons of means; Tukey Contrasts, p < 0.05).
Fig 3.
Variation (mean ± SE) in deer-vehicle accident (DVA) frequency between five different categories of illumination.
NbD = night before dawn, DA = dawn, DL = daylight, DU = dusk, NaD = night after dusk. Significant differences between days are indicated by different letters (multiple comparisons of means; Tukey Contrasts, p < 0.05).
Fig 4.
Estimated smoothing curve for variation in deer-vehicle accident (DVA) frequency during different days of the moon cycle.
The y-axis shows the contribution of the smoother to the fitted values; a cyclic cubic regression spline was used. The solid line is the smoother and the dashed lines are the 95% confidence bands. Moon day 15 represents the center of the full moon phase.