Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Predicted 2020 densities for 11 songbird species across the western United States

Metadata Updated: September 17, 2025

Informed wildlife management requires robust information regarding population status, habitat requirements, and likely responses to changing resource conditions. Growing evidence indicates single species management may inadequately conserve communities and result in undesired effects to non-target species. Thus, management can benefit from habitat relationship information for multiple species within, and across, ecosystems. Using 13 years of point count data (2008-2020) collected across the western United States and a suite of relevant covariates for habitat, we fit hierarchical models to characterize and predict songbird densities and evaluate population trends for 11 species of interest: Bewick’s Wren (Thryomanes bewickii; BEWR), Brewer’s Sparrow (Spizella breweri; BRSP), Black-throated Gray Warblers (Setophaga nigrescens; BTYW), Gray Flycatcher (Empidonax wrightii; GRFL), Gray Vireo (Vireo vicinior; GRVI), Green-tailed Towhee (Pipilo chlorurus; GTTO), Juniper Titmouse (Baeolophus ridgwayi; JUTI), Loggerhead Shrike (Lanius ludovicianus; LOSH), Sagebrush Sparrow (Amphispiza belli; SABS), Sage Thrasher (Oreoscoptes montanus; SATH), and Townsend’s Solitaire (Myadestes townsendi; TOSO). The resulting maps include density (birds/km2) for each species (BEWR_2020_PredictedDensity.tif, BRSP_2020_PredictedDensity.tif, BTYW_2020_PredictedDensity.tif, GRFL_2020_PredictedDensity.tif, GRVI_2020_PredictedDensity.tif, GTTO_2020_PredictedDensity.tif, JUTI_2020_PredictedDensity.tif, LOSH_2020_PredictedDensity.tif, SABS_2020_PredictedDensity.tif, SATH_2020_PredictedDensity.tif, and TOSO_2020_PredictedDensity.tif), given 2020 environmental conditions, as well as masks representing all raster cells where one or more covariate pixel value(s) fell outside of the 2.5 and 97.5 percent quantiles of the covariate sample used when fitting the model (BEWR_mask_raster_2020.tif, BRSP_mask_raster_2020.tif, BTYW_mask_raster_2020.tif, GRFL_mask_raster_2020.tif, GRVI_mask_raster_2020.tif, GTTO_mask_raster_2020.tif, JUTI_mask_raster_2020.tif, LOSH_mask_raster_2020.tif, SABS_mask_raster_2020.tif, SATH_mask_raster_2020.tif, and TOSO_mask_raster_2020.tif). Values of one within the mask layers indicate there may be considerable uncertainty associated with the predicted values and/or that values may be unusually high or low.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date September 14, 2025
Metadata Updated Date September 17, 2025

Metadata Source

Harvested from DOI USGS DCAT-US

Additional Metadata

Resource Type Dataset
Metadata Created Date September 14, 2025
Metadata Updated Date September 17, 2025
Publisher U.S. Geological Survey
Maintainer
Identifier http://datainventory.doi.gov/id/dataset/usgs-63a1f0dad34e0de3a1f27cd3
Data Last Modified 2023-08-22T00:00:00Z
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://ddi.doi.gov/usgs-data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 7150646c-d13d-4cf1-8390-13d673a20c3b
Harvest Source Id 2b80d118-ab3a-48ba-bd93-996bbacefac2
Harvest Source Title DOI USGS DCAT-US
Metadata Type geospatial
Old Spatial -118.6048, 34.8638, -102.8106, 50.3324
Source Datajson Identifier True
Source Hash 97268f1d2956a45a24347f6c70b5766aac026cb46c5e95e437f0b3abcefd2da2
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -118.6048, 34.8638, -118.6048, 50.3324, -102.8106, 50.3324, -102.8106, 34.8638, -118.6048, 34.8638}

Didn't find what you're looking for? Suggest a dataset here.