Data of roe deer traffic collisions from 1989 to 2004 in the Belluno province were analyzed to describe patterns of road kills by zone, season and sex and to compare resulting annual trends and sex ratios with those estimated for roe deer population. The province was divided in 2 districts on the base of differences in climate, landscape and roe deer population status. Pearson’s simple correlation was used to investigate the associations, in the two districts, among road kills data, year, population density, traffic index, and snow depth. Bonferroni’s confidential intervals to 95% of significance were used to compare the monthly distributions of collisions between sexes and between districts. In conclusion, the analysis of car accidents may not reflect population trends and sex ratios when traffic rates change and when different ecological factors, others from deer density, influence the probability of deer to incur in a car accident. In addition, differences of accident probability between sexes and months can be found in areas with different landscapes, climates and population structures. These factors should be evaluated in order to manage accident risk and to understand the potential of car accidents records as a tool for monitoring population status.

An analisis of roe deer (Capreolus capreolus) traffic collisions in the Belluno province, eastern Italian Alps.

STURARO, ENRICO;RAMANZIN, MAURIZIO
2007

Abstract

Data of roe deer traffic collisions from 1989 to 2004 in the Belluno province were analyzed to describe patterns of road kills by zone, season and sex and to compare resulting annual trends and sex ratios with those estimated for roe deer population. The province was divided in 2 districts on the base of differences in climate, landscape and roe deer population status. Pearson’s simple correlation was used to investigate the associations, in the two districts, among road kills data, year, population density, traffic index, and snow depth. Bonferroni’s confidential intervals to 95% of significance were used to compare the monthly distributions of collisions between sexes and between districts. In conclusion, the analysis of car accidents may not reflect population trends and sex ratios when traffic rates change and when different ecological factors, others from deer density, influence the probability of deer to incur in a car accident. In addition, differences of accident probability between sexes and months can be found in areas with different landscapes, climates and population structures. These factors should be evaluated in order to manage accident risk and to understand the potential of car accidents records as a tool for monitoring population status.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/2429846
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