Identifying northwest boreal climate refugia to inform species/ecosystem conservation action in a changing landscape

"BootstrapMeanRasters": Mean climate-based landbird species distribution and abundance rasters (SAMs, n=46) for the Boreal and Taiga Cordilleras Representing: (1) SAMs for the current 1990-2020 climate normal; (2) SAMs for 9, 2070-2100 projected climate normals, and (3) refugia probability rasters. TIFF files. "Current Core Range": Area (presence-absence) representing the modelled cumulative upper 75% of each species SAMs under the current 1990-2020 climate normal - all bootstraps (n=50 projections/species). RDS files: Import into R with readRDS(); convert to P/A raster using terra::rast(). "Future Core Range": Area (presence-absence) representing the projected core range of species' SAMs under 9, 2070-2100 projected climate normals - all bootstrap-scenarios (n=450 projections/species). RDS files: Import into R with readRDS(); convert to P/A raster using terra::rast(). "Current Elevation.csv": Predicted current mean elevation (m) for species' unweighted core range and abundance-weighted core range based on the 1990-2020 climate normal (n=50 estimates/species). CSV file. "ElevationalChange.csv": Projected change in elevational distributions (meters) for unweighted core range and abundance-weighted, refugia-weighted-, and abundance- & refugia-weighted core range under 9, 2070-2100 projected climate normals (n=450 estimates/species). CSV file. "Current_Population_Range.csv": Predicted species' current core range (km2), total abundance (summed density index) and core-range abundance (summed density index) based on the 1990-2020 climate normal (n=50 estimates/species). CSV file. "Population_Range_Change.csv": Projected % change in: core range, total abundance, refugia-corrected total abundance, refugia-corrected core range under 9, 2070-2100 projected climate normals (n=450 estimates/species). CSV file. "Survey_ClimateDat_YKRefugia" Landbird survey data (anonymized) and climate normal covariates used to train species models. Large CSV file. "GBMs_1991-2020.zip" Landbird gbm models (50/species) and covariate influence outputs. RDS objects and Rdat files. "2026_ExampleCode.R" Example code for analyses. R code.