To represent how landscape characteristics might facilitate or impede species movement under various climate change scenarios, we utilized a continent-wide model for North America published by Parks et al. (2020). This model employed a least-cost path approach to generate movement trajectories from each 5km pixel to its nearest future climate analog. The analysis prioritized paths avoiding dissimilar climates and areas with increasing human land-use intensity, as defined by the Human Modification Gradient (HMG). The resulting layer depicts the total number of these trajectories intersecting each 5km pixel. We clipped the climate connectivity layer to Washington state, resampled it to the1mi grid, and rescaled it between 0-1 (1-representing the highest climate connectivity) to match the other connectivity metrics.

To represent how landscape characteristics might facilitate or impede species movement under various climate change scenarios, we utilized a continent-wide model for North America published by Parks et al. (2020). This model employed a least-cost path approach to generate movement trajectories from each 5km pixel to its nearest future climate analog. The analysis prioritized paths avoiding dissimilar climates and areas with increasing human land-use intensity, as defined by the Human Modification Gradient (HMG). The resulting layer depicts the total number of these trajectories intersecting each 5km pixel. We clipped the climate connectivity layer to Washington state, resampled it to the1mi grid, and rescaled it between 0-1 (1-representing the highest climate connectivity) to match the other connectivity metrics.