Data from: Roads elicit negative movement and habitat-selection responses by wolverines (Gulo gulo luscus) ...

• Main Authors: Scrafford, Matthew A., Avgar, Tal, Heeres, Rick, Boyce, Mark S.
• Format: Dataset
• Language: English
• Published: Dryad 2017
• Subjects: step selection; oil extraction; Roads; industry; traffic volume; Start Point; Gulo gulo
• Online Access: https://dx.doi.org/10.5061/dryad.44pp0; https://datadryad.org/stash/dataset/doi:10.5061/dryad.44pp0

Wildlife behavior when crossing roads is likely to mirror natural responses to predation risk including not responding, pausing, avoiding, or increasing speed during crossing. We generated coarse-scale behavioral predictions based on these expectations that could be assessed with GPS radiotelemetry. We evaluated our predictions using an integrated step-selection analysis of wolverine (Gulo gulo luscus) space use in relation to spatially and temporally dynamic vehicle traffic on industrial roads in northern Alberta. We compared support for alternative models of road avoidance, increased speed near roads, and road avoidance and increased speed near roads. We predicted that wolverines would avoid roads and increase their speed near roads and that these behaviors would increase with traffic volume. We found that vehicle traffic was relatively low (0 – 30 vehicles/12 hours) but important for explaining wolverine space use. Top winter and summer models indicated that wolverines avoided and increased speed near ... : Wolverine traffic and GPS dataSteps from wolverine GPS data in northern Alberta. Steps are lines connecting sequential GPS relocations. “Start” refers to the start point of the step and “End” refers to the end point of the step. For example, “traffic_end” is the traffic volume on the road closest to the end point of the step. The distances to roads are indicated by “road_start” and “road_end”. “Twilight” is the time until civil twilight. “Used” refers to real steps (coded 1) versus available steps (coded 0). "Cluster" is a group of available data points associated with a used data point (this is needed for conditional logistic regression). "SL_m" is the distance (m) from the start to end point of a step. NOTE: Sensitive GPS locations were removed from this version of the file in accordance with the agreement under which the data were acquired.GPS_traffic_data_wolverine_revised.xlsx ...