README Mapping breeding bird species richness at management-relevant resolutions across the United States Kathleen A. Carroll1, Laura S. Farwell1 *, Anna M. Pidgeon1, Elena Razenkova1, David Gudex-Cross1, David P. Helmers1, Katarzyna E. Lewińska1, Paul R. Elsen1⁑, Volker C. Radeloff1 1 SILVIS Lab, Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, 1630 Linden Drive, Madison, WI 53706, USA. *Current Affiliation: Conservation Science Partners, Truckee, CA 96161, USA. ⁑Current Affiliation: Wildlife Conservation Society, Global Conservation Program, Bronx, NY 10460, USA. Correspondent: Kathleen Carroll, kcarroll7@wisc.edu Variable Results Excel File: Variables included in each final model by resolution, including 0.5 km, 2.5 km, and 5 km Variables are ranked by columns so that variables in V1 have higher importance values than subsequent variables. Naming Conventions Excel File: Variable names and definitions for Variable Results. Guild Composition Excel File: Species included in each guild. All of the raster layers of predicted guild richness follow the same naming convention of "BBS" _ guild level _ resolution. So the 5-km resolution threatened guild maps is "BBS_threatened_5k.tif" For these layers 5k = 5-km resolution, 2p5k = 2.5-km resolution, and 500m = 0.5-km resolution. All of the prediction interval files use the naming convention "PI_" guild name "_" resolution. For these layers 5k = 5-km resolution, 2p5k = 2.5-km resolution, and 500m = 0.5-km resolution. All of the resolution comparision files use the naming convention "Compare_" guild name "_" resolution1 "_" resolution2. For these layers 5k = 5-km resolution, 2p5k = 2.5-km resolution, and 500m = 0.5-km resolution.