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

Metadata Updated: July 6, 2024

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.

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Dates

Metadata Created Date August 30, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date August 30, 2023
Metadata Updated Date July 6, 2024
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/97d6053c223f13cb7643c850f9546bb3
Identifier USGS:63a1f0dad34e0de3a1f27cd3
Data Last Modified 20230822
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://datainventory.doi.gov/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 1ee92980-dc5d-49f1-ba7b-c645a7d3705e
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -118.6048,34.8638,-102.8106,50.3324
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 5e81a50c0f5206d9e135dedae30fb4fb8158a97d40aa5f03b17a90cdd7d1a24a
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}

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