| Summary: | These data provide the projections of future fire activity presented in Young et al. (2017). This nested dataset is comprised of 5 zip files, each containing 300 GeoTiff Files that provide the pixel-level, spatial projections for the 30-yr probability of fire occurrence in Alaska. The naming conventions for the zip files and the GeoTiff Files is as follows: Zip files Example: "CCSM4.zip" “CCSM4” = Global Climate Model (GCM). Five options are CCSM4, GFDL-CM3, GISS-E2-R, IPSL-CM5A-LR, and MRI-CGCM3. GeoTIFF File naming convention: Example: "CCSM4_pred_map_2010_2039_1.tif" “CCSM4” = Global Climate Model (GCM). Five options are CCSM4, GFDL-CM3, GISS-E2-R, IPSL-CM5A-LR, and MRI-CGCM3 “pred_map” = Designates that the GeoTIFF file provides a prediction (or projection) map of the 30-yr probability of fire occurrence. "AnnDEF" = Climate variable. AnnDEF = Mean total P-PET (mm); TempWarm = Mean temperature of the warmest month (°C). “2040_2069” = Beginning (e.g., 2040) and ending (e.g., 2069) years for 30-yr climatology. “1” = Specific GBM (or BRT) model used to make the projection. This values ranges from “1” to “100.” See Young et al. (2017) for further details. Citations: Young, A.M., P. E. Higuera, P. A. Duffy, and F. S. Hu. 2017. Climatic thresholds shape northern high-latitude fire regimes and imply vulnerability to future climate change. Ecography 40:606-617. doi: 10.1111/ecog.02205.
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