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Analyses of Wildlife-Vehicle Collision Data: Applications for Guiding Decision-making for Wildlife Crossing Mitigation and Motorist Safety, I.Limiting Effects of Road-Kill Reporting Data Due to Spatial Inaccuracy.
| 题名： | Analyses of Wildlife-Vehicle Collision Data: Applications for Guiding Decision-making for Wildlife Crossing Mitigation and Motorist Safety, I.Limiting Effects of Road-Kill Reporting Data Due to Spatial Inaccuracy. |
| 作者： | Clevenger-A.P.; Gunson-K.; Handy-A. |
| 关键词： | *Vehicle-animal-collisions; *Mitigation-; *Traffic-safety.;Deer-; Habitat-; Terrain-; Land-use; Wildlife-crossings; Location-; Transportation-management; Spatial-patterns. |
| 摘要： | Wildlife-vehicle collisions do not occur randomly along roads but are spatially clustered, because wildlife movements tend to be associated with specific habitats, terrain, and adjacent land use types. Thus, landscape spatial patterns would be expected to play an important role in determining locations where the probability of being involved in an animal-vehicle collision is higher compared to other locations. Explanatory factors of wildlife road-kill locations and rates vary widely between species and taxa, yet, to properly mitigate road impacts to wildlife and increase motorist safety, transportation departments need to be able to identify where particular individuals, species taxa, and vertebrate communities are susceptible to high road-kill rates along roads. Quality field data documenting locations and frequencies of wildlife-vehicle collisions can offer empirical insights to help address this challenging safety and ecological issue. |
| 报告类型： | 科技报告 |
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