| Autor: |
Reisinger, Felix, Heurich, Marco, von Hoermann, Christian, Luca Bastianelli, Matteo |
| Předmět: |
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| Zdroj: |
Silva Gabreta; 2023, Vol. 29, p73-96, 24p |
| Abstrakt: |
Densely populated regions such as Europe face dramatically increasing numbers of wildlife-vehicle collisions due to growing animal populations, traffic volume, and vehicle speeds. Identifying temporal and geographical collision hotspots can help mitigate wildlife-vehicle collisions (WVCs) and improve animal welfare and human safety. In this study, an analysis of roe deer (Capreolus capreolus)-vehicle collisions (RDVCs) throughout Lower Bavaria, the Bavarian Forest Nature Park (BFNatP) and the Bavarian Forest National Park (BFNP) reveals ultradian, circannual, and geographical hotspots. The highest density of RDVCs occurs in May, followed by the short but intense rutting season in August and a third, longer-lasting peak from September until November. Spring and fall migration and the dispersal of young roe deer greatly influence the annual patterns of RDVCs. The diurnal RDVC-distribution could be linked to the crepuscular activity patterns of roe deer, with the short temporal periods of dusk and dawn accounting for 55% of all RDVCs. In the BFNatP, federal roads have the highest relative number of RDVCs per kilometer followed by secondary roads. High-risk areas for RDVCs were identified in grassland patches within densely forested areas and in forest patches within grassland areas. Our results demonstrate that geographical analyses can help reveal vehicle collision hotspots and form the basis for mitigation measures. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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