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A neutral landscape approach to evaluating the umbrella species concept for greater sage-grouse in northeast Wyoming, USA

Metadata Updated: July 6, 2024

Greater sage-grouse (Centrocercus urophasianus) has been identified as a potential umbrella species with the assumption that conservation of their habitats in sagebrush ecosystems may benefit multiple other wildlife species, but co-occurrence with an umbrella species does not necessarily guarantee species will respond positively to management for sage-grouse. This may be particularly true for ecotones, such as at the eastern edge of the sage-grouse range where sagebrush steppe and Great Plains grasslands intersect. We used a novel application of neutral landscape models (Etherington et al., 2015) to evaluate observed and expected overlap between greater sage-grouse habitat (1994-2010; Fedy et al., 2014) and distribution of eight grassland songbird species (2008-2018; Monroe et al., 2021) in northeast Wyoming. Data formatting necessary for this analysis produced 17 rasters including sage-grouse habitat (nestGRSG300.tif and summerGRSG300.tif), songbird species distribution (grspFP300.tif, holaFP300.tif, larbFP300.tif, laspFP300.tif, loshFP300.tif, vespFP300.tif, wekiFP300.tif, wemeFP300.tif), songbird community metrics (total density and richness) thresholded at the 0.5 (abund_50_300.tif and rich_50_300.tif), 0.75 (abund_75_300.tif and rich_75_300.tif), and 0.9 quantiles (abund_90_300.tif and rich_90_300.tif), and a general mask to constrain simulations to pixels with songbird predictions (mask300.tif). We also include rasters for grasshopper sparrow (Ammodramus savannarum), sage-grouse nesting habitat, and associated masks but with pixels aggregated to 90 meters, 150 m, 450 m, and 600 m to evaluate sensitivity of results to raster resolution. Finally, in code.zip we provide example Python code to simulate neutral landscape models (nlm_umbrella_larb_habitat.py) and R code to determine the spatial autocorrelation parameter (h) for sage-grouse nesting and summer (brood-rearing) habitat using semivariograms (h_parameter_code.R).

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 June 1, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/7f140ba43f11eae175bf269c3bd649ad
Identifier USGS:635c09bdd34ebe442504b1d6
Data Last Modified 20230320
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 d14413a7-0d11-4415-bab0-c1b9ae7c6f84
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -107.5039,41.799,-103.7222,45.2484
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 067ea071f2514adc047c10850947dd26c9d9d443acc0da85f36af418265dbb24
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -107.5039, 41.799, -107.5039, 45.2484, -103.7222, 45.2484, -103.7222, 41.799, -107.5039, 41.799}

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