Can we model wolf-vehicle collisions? Using a logistic model with corrections to identify the variables involved in the road-kill.

The studies about large carnivore road-kills are scarce despite this being one of the main causes of mortality. This absence can be explained partly because of difficulties in obtaining sufficient sample sizes. We collected evidence from locations of 82 wolf road-kill sites in the Castile and Leon region, northwest Spain. Landscape, traffic and anthropogenic models to characterise collision localities were evaluated using logistic regressions with corrections for rare events. These corrections contribute to minimize the statistical problems derived from small sample sizes. Best models included traffic and human disturbance parameters. Landscape variables did not improve predictive power. Fencing was a decisive key predictor; road-kill was proportionally higher along fenced highways than on similar major roads that lacked fences. Wolf adaptation ability may prevent them from being killed on roads but the design failures and the lack of maintenance in fences favour that wolves reach the highways, becoming trapped on the road. In such case fencing has the opposite effect because it supposes an increase in the time of residence on the road and an increase in the number of road-kills. Moreover, speed and traffic volumes, proximity to municipal borders and distance to populated areas were significant variables. At regional scale wolf-vehicle collisions were more common on the agricultural areas, although wolf densities were lower in these zones. Both the higher density of important roads and the greater proportion of roaming wolves on the plateau may explain this pattern.

Data and Resources

Cite as

Colino-Rabanal V.J. Lizana Avia M. y Peris Álvarez S.J. Can we model wolf-vehicle collisions? Using a logistic model with corrections to identify the variables involved in the road-kill. Infrastructure & Ecology Network Europe, 2010.

Clipboard Icon
Retrieved: 23 Jan 2025 11:45:31

Metadata
Download
DCAT-AP/NTI-RISP

Basic information
Resource type Text
Date of creation 2024-12-02
Date of last revision 2025-01-23
Show changelog
Metadata identifier 5cde68cc-35ce-551c-be7f-817fe6e67ada
Metadata language Spanish
Themes (NTI-RISP)
High-value dataset category
ISO 19115 topic category biota
Keyword URIs
Bibliographic information
Name of the dataset creator Colino-Rabanal, V.J., Lizana Avia, M. y Peris Álvarez, S.J.
Name of the dataset editor Infrastructure & Ecology Network Europe
Other identifier
Identifier of the dataset creator
Email of the dataset creator
Website of the dataset creator
Provenance
Lineage statement
Metadata Standard
Version notes
Version