Roadkill-Data-Based Identification and Ranking of Mammal Habitats

摘要: Wildlife–vehicle collisions, as well environmental factors that affect collisions and mitigation measures, are usually modelled analysed in the vicinity of or within roads, while habitat attractiveness to wildlife along with risk drivers remain mostly underestimated. The main goal this study was identification, characterisation, ranking mammalian habitats Lithuania relation 2002–2017 roadkill data. We identified patches areas (varying from 1 1488 square kilometres) isolated by neighbouring roads characterised at least one wildlife–vehicle collision hotspot. ranked all on basis land cover, presence an ecological corridor, a pathway, hotspot A scenario describing both defined applied. Ranks for each were calculated using multiple criteria spatial decision support techniques. Multiple regression analyses used identify relationship between ranks, species richness, cover classes. Strong relationships discussed patch ranks five (out 28) classes eight (97% mammal road kills). conclude that, conventional roadkill-based identification characterisation richness analysis should be safety infrastructure planning.