IDENTIFYING ATTRIBUTES ASSOCIATED WITH BROWN BEAR (URSUS ARCTOS) ROAD-CROSSING AND ROAD-KILL SITES

Habitat fragmentation caused by transportation infrastructure is an issue of growing concern worldwide. In this article, we show, how secondary roads may affect landscape permeability for brown bears (Ursus arctos L., 1758). We focused on identifying environmental variables that govern the selection of road crossing zones by bears (crossing model). We also investigated whether variables that characterize road–crossing zones differ from those that are typical for bear–vehicle collision sites (collision model). The study area was located in north–central Slovakia. To identify road–crossing sites, we used the GPS fixes of 27 bears and identified 35 bear–vehicle collision sites from a different dataset. We used mixed effects logistic regression to model resource selection at road–crossing sites and to compare bear–crossing sites with bear kill–sites. The crossing model showed that the traffic volume with distance to forest and grassland were the most influential factors in bear selection of road–crossing sites. Results of the collision model indicated that successful road crossings by bears were located at different road sections from vehicle collisions, which differed by a traffic volume of 4000 cars/24 hrs. The outcomes of this study can facilitate improved mitigation measures on secondary roads.The accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author