Wolverine distribution model in the northern Cascade Range

Recolonization of the Cascade Range in southern British Columbia, Canada, and Washington, USA, by wolverines (Gulo gulo (L., 1758)) is an ongoing process whose ultimate outcome is unknown. A reliable species distribution model for the wolverine in the Cascades (i.e., their first-order habitat selection) is urgently needed to help inform management and conservation strategies. Using Argos location data obtained on 10 resident adult wolverines (six females, four males) from 2008 to 2016, we generated a multi-covariate species distribution model (GeoTIFF raster format) for the wolverine in the Cascades. Our final model included three climatic covariates and their quadratic terms: Proximity to the Transitional Zone Near Alpine Tree Line, Number of Frost-free Days per Year, and Annual Precipitation as Snow. Model validations indicated that our model was robust and could identify areas of potential wolverine distribution in the Cascades reliably. Our model provides evidence that wolverine distribution in the Cascades is constrained by climatic conditions and that snowy and cold environments define the geographic areas that are overwhelmingly associated with resident wolverines. In addition, our model provides a reliable basis for monitoring the direct effects of climate change on wolverines in the Cascade Range and for predicting the extent to which climate change may impact their populations under various scenarios.
Our spatially explicit model of the wolverine’s geographic distribution in the Cascade Range (i.e., their 1st-order habitat selection) based on satellite telemetry locations for 10 resident adult wolverines from 2008 to 2016 was created to help inform research, management, and conservation activities for wolverines in the Cascade Range in western Washington state, USA and in the southern portion of the province of British Columbia, Canada.
Additional details about how our model was derived, model validation, and model interpretation are contained in Aubry et al. (2023).