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Probability map of Cheatgrass occurrence in relation to vegetation, abiotic, and anthropogenic features. These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release.
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Probability map of green-tailed towhee occurrence in relation to vegetation, abiotic, and anthropogenic features. These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release.
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Probability map of Halogeton occurrence in relation to vegetation, abiotic, and anthropogenic features. These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release.
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Probability map of least chipmunk occurrence in relation to vegetation, abiotic, and anthropogenic features. These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release.
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These data address experimental evaluations of dietary preference by captive brown treesnakes on Guam. Snakes were collected from the wild in areas with birds present and in areas without birds present 2018–2019. Snakes were then run through preference trials during which they were offered first live lures (mouse and finch) in snake traps on opposite sides of the arena. On the second night, snakes were offered dead carrion (baits) of each prey type (mouse, chicken chick) equal to 30% of their mass. Choices were monitored overnight using game cameras and then transcribed the following day. Individuals were classified as BIRD or NOBIRD snakes based on whether they had birds in their gut contents at the time of capture....
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This is a spatially-explicit state-and-transition simulation model (STSM) of sagebrush-steppe vegetation dynamics for greater sage-grouse (Centrocercus urophasianus) Priority Areas for Conservation (PACs) in the Great Basin. The STSM was built using the ST-Sim platform and uses an integrated stock-flow submodel (STSM-SF) to simulate and track continuous vegetation component cover changes caused by annual growth, natural regeneration, and post-fire sagebrush seeding and planting restoration. Spatially explicit models were built for three sage-grouse PACs (Klamath Oregon/California [KLAM], NW Interior Nevada [NWINV], Strawberry Utah [STRAW]) that differed in historic wildfire patterns and the amounts of various component...
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Potential future greater sage-grouse (Centrocercus urophasianus) habitat restoration was projected (2018-2068) for three sage-grouse Priority Area for Conservation (PACs) populations located along the northwestern, central, and eastern edge of the Great Basin using outputs from a spatially explicit state-transition simulation model (STSM) developed for sagebrush ecosystems. These datasets, for the NW-Interior Nevada, USA (NWINV) sage-grouse population, include: 1) a set of 78 categorical raster layers illustrating a time series (decade intervals) of potential future habitat, and 2) a set of 15 uncategorized raster layers illustrating potential change in habitat classification across space, after simulating 50 years...
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The data release details the samples, methods, and raw data used to generate high-quality genome assemblies for greater sage-grouse (Centrocercus urophasianus), white-tailed ptarmigan (Lagopus leucura), and trumpeter swan (Cygnus buccinator). The raw data have been deposited in the Sequence Read Archive (SRA) of the National Center for Biotechnology Information (NCBI), the authoritative repository for public biological sequence data, and are not included in this data release. Instead, the accessions that link to those data via the NCBI portal (www.ncbi.nlm.nih.gov) are provided herein. The release consists of a single file, sample.metadata.txt, which maps NCBI accessions to the samples sequenced and the different...
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This data release contains the North American Bat Monitoring Program (NABat) Master Sampling Grid at the 5 km x 5 km scale with biologically relevant covariates for NABat analyses attributed to each cell of the 5 km x 5 km grid frame for the continental United States. It was created using ArcPro and the 'sf', 'tidyverse', 'dplyr' and 'exactextractr' packages in R to extract covariates from multiple data sources following the 10 km x 10 km attributed grid process as well as adding additional covariates. These covariates include the habitat characteristics such as percent of wetlands, forest, deciduous and coniferous forest, dominant and subdominant oak types, the number of tree and oak species, topographic features...
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Map of Brewer's sparrow density (birds/ha) in relation to vegetation, abiotic, and anthropogenic features. These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release.
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The dataset is comprised of historical observations and predictions of winter colony counts at known sites for three bat species (little brown bat, Myotis lucifugus; tricolored bat, Perimyotis subflavus; and big brown bat, Eptesicus fuscus). The dataset consists of two separate but related data files in tabular format (comma-separated values [.csv]). Each data set consists of predicted winter counts derived using winter status and trends modeling methods developed by the North American Bat Monitoring Program (NABat). These two predicted winter count data sets were used to inform NABat summertime status and trends analysis: 1) modeled abundance predictions for all hibernacula for all three species from 2010-2021,...
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We live-trapped black-tailed prairie dogs on Buffalo Gap National Grassland, South Dakota, 2020-2021. We anesthetized trapped animals (and their fleas) with isoflurane in induction chambers for processing. We combed each individual with a fine-tooth comb for 30 seconds to remove and count fleas. The total flea count from an individual prairie dog was considered an index of flea abundance. We released all animals, after they were recovered from anesthesia, at the location where they were captured. Data were collected on sites treated with fipronil "FipBit" bait pellets for systemic flea control with prairie dogs. Sites were treated with FipBits containing 0.68, 0.71, or 0.83 milligrams of fipronil per FipBit. The...
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Removal of two large dams from the Elwha River, Washington USA, in 2011-2014 released ~20.5 metric tons (Mt) of impounded sediment, ~5.4 Mt of which was deposited in the river delta and estuary. This dataset presents measurements of geomorphic surfaces, vegetation colonization, and plant community development in the Elwha River delta and estuary after dam removal. Geomorphic surfaces and vegetation colonization were estimated from aerial imagery of the delta and estuary in 2016 and 2018. Plant community development was quantified from field plot surveys of pioneer plant communities on new surfaces in 2014 and 2018 and of established delta and estuarine plant communities on older surfaces in 2007, 2014, and 2018....
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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...
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Probability map of Crested wheatgrass occurrence in relation to vegetation, abiotic, and anthropogenic features. These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release.
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Map of pronghorn distribution developed from a probability of occurrence map created using multi-scale vegetation, abiotic, and anthropogenic features. These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release.
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Probability map of cottontail occurrence in relation to vegetation, abiotic, and anthropogenic features. These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release.
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Probability map of deer mouse occurrence in relation to vegetation, abiotic, and anthropogenic features. These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release.
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Map of short-horned lizard distribution developed from a probability of occurrence map created using multi-scale vegetation, abiotic, and anthropogenic features. These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release.
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Map of lark sparrow distribution developed from an abundance map created using multi-scale vegetation, abiotic, and anthropogenic features. These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release.


map background search result map search result map Data on dietary preference by brown treesnakes on Guam Data on flea control using FipBit fipronil bait pellets with black-tailed prairie dogs, South Dakota, 2020-2021 Predicted 2020 densities for 11 songbird species across the western United States State-and-Transition Simulation Models, parameters, input data, and simulation results NW-Interior Nevada time series (2018-2068) of potential habitat and 50-year change Crested wheatgrass probability of occurrence in the Wyoming Basins Ecoregional Assessment area Cheatgrass probability of occurrence in the Wyoming Basins Ecoregional Assessment area Cottontail probability of occurrence in the Wyoming Basins Ecoregional Assessment area Green-tailed towhee probability of occurrence in the Wyoming Basins Ecoregional Assessment area Halogeton probability of occurrence in the Wyoming Basins Ecoregional Assessment area Lark sparrow distribution in the Wyoming Basins Ecoregional Assessment area Deer mouse probability of occurrence in the Wyoming Basins Ecoregional Assessment area Pronghorn distribution in the Wyoming Basins Ecoregional Assessment area Short-horned lizard distribution in the Wyoming Basins Ecoregional Assessment area Least chipmunk probability of occurrence in the Wyoming Basins Ecoregional Assessment area Brewer's sparrow density in the Wyoming Basins Ecoregional Assessment area Attributed North American Bat Monitoring Program (NABat) 5km x 5km Master Sample and Grid-Based Sampling Frame North American Bat Monitoring Program (NABat) Bayesian Hierarchical Model for Winter Abundance: Predicted Population Estimates (2022 and 2023) Vegetation and geomorphic surfaces in the Elwha River delta, Washington, after dam removal, derived from 2016 and 2018 aerial imagery and 2007, 2014, and 2018 field surveys Whole genome sequencing of three North American large-bodied birds Vegetation and geomorphic surfaces in the Elwha River delta, Washington, after dam removal, derived from 2016 and 2018 aerial imagery and 2007, 2014, and 2018 field surveys Data on dietary preference by brown treesnakes on Guam State-and-Transition Simulation Models, parameters, input data, and simulation results Crested wheatgrass probability of occurrence in the Wyoming Basins Ecoregional Assessment area Cheatgrass probability of occurrence in the Wyoming Basins Ecoregional Assessment area Cottontail probability of occurrence in the Wyoming Basins Ecoregional Assessment area Green-tailed towhee probability of occurrence in the Wyoming Basins Ecoregional Assessment area Halogeton probability of occurrence in the Wyoming Basins Ecoregional Assessment area Lark sparrow distribution in the Wyoming Basins Ecoregional Assessment area Deer mouse probability of occurrence in the Wyoming Basins Ecoregional Assessment area Pronghorn distribution in the Wyoming Basins Ecoregional Assessment area Short-horned lizard distribution in the Wyoming Basins Ecoregional Assessment area Least chipmunk probability of occurrence in the Wyoming Basins Ecoregional Assessment area Brewer's sparrow density in the Wyoming Basins Ecoregional Assessment area Predicted 2020 densities for 11 songbird species across the western United States Attributed North American Bat Monitoring Program (NABat) 5km x 5km Master Sample and Grid-Based Sampling Frame North American Bat Monitoring Program (NABat) Bayesian Hierarchical Model for Winter Abundance: Predicted Population Estimates (2022 and 2023) Whole genome sequencing of three North American large-bodied birds