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Note: this data release has been superseded by version 2.0, available here: https://doi.org/10.5066/P9V54H5K We developed habitat suitability models for invasive plant species selected by Department of Interior land management agencies. We applied the modeling workflow developed in Young et al. 2020 to species not included in the original case studies. Our methodology balanced trade-offs between developing highly customized models for a few species versus fitting non-specific and generic models for numerous species. We developed a national library of environmental variables known to physiologically limit plant distributions and relied on human input based on natural history knowledge to further narrow the variable...
The NABat sampling frame is a grid-based finite-area frame spanning Canada, the United States, and Mexico consisting of N total number of 10- by 10-km (100-km2) grid cell sample units for the continental United States, Canada, and Alaska and 5- by 5-km (25km2) for Hawaii and Puerto Rico. This grain size is biologically appropriate given the scale of movement of most bat species, which routinely travel many kilometers each night between roosts and foraging areas and along foraging routes. A Generalized Random-Tessellation Stratified (GRTS) Survey Design draw was added to the sample units from the raw sampling grids (https://doi.org/10.5066/P9M00P17). This sampling design produces an ordered list of units such that...
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.
This sampling frame is a set of grid-based finite-area frames spanning Canada, the United States, and Mexico. The grid for the United States is broken into individual grids for the continental United States, Hawaii, and Puerto Rico. Alaska is combined with Canada into a single grid. Each country/state/territory extent consists of four nested sampling grids at 50x50km, 10x10km, 5x5km, and 1x1km resolutions. The original 10x10km continental United States grid was developed by the Forest Service, U.S. Department of Agriculture for use in the interagency “Bat Grid” monitoring program in the Pacific Northwest and was expanded across Canada, the United States, and Mexico for the North American Bat Monitoring Program (NABat)....
This dataset includes stable hydrogen isotope values of the nonexchangeable hydrogen contained in the outer most secondary feathers of dark-eyed juncos (Junco hyemalis thurberi) collected from the University of California San Diego campus in La Jolla, California in 2014. Hydrogen isotope values in feathers have become a powerful tool for inferring the breeding grounds of a wide variety of avian species. In most of these migratory species, feathers are molted prior to departing the breeding grounds for more overwintering regions to the south. These data were used in tandem with morphological and genetic data for the classification of resident and migrant birds. There are two files in this dataset: 1) A tab delimitated...
Categories: Data;
Tags: California,
La Jolla,
USGS Science Data Catalog (SDC),
United States,
biota,
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...
We developed habitat suitability models for invasive plant species selected by Department of Interior land management agencies. We applied the modeling workflow developed in Young et al. 2020 to species not included in the original case studies. Our methodology balanced trade-offs between developing highly customized models for a few species versus fitting non-specific and generic models for numerous species. We developed a national library of environmental variables known to physiologically limit plant distributions (Engelstad et al. 2022 Table S1: https://doi.org/10.1371/journal.pone.0263056) and relied on human input based on natural history knowledge to further narrow the variable set for each species before...
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.
Categories: pre-SM502.8;
Tags: Colorado,
Distribution,
Ecology,
Environment and Conservation,
Idaho,
Map of deer mouse 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.
Categories: pre-SM502.8;
Tags: Colorado,
Deer mouse,
Distribution,
Ecology,
Environment and Conservation,
We developed habitat suitability models for three invasive plant species: stiltgrass (Microstegium vimineum), sericea lespedeza (Lespedeza cuneata), and privet (Ligustrum sinense). We applied the modeling workflow developed in Young et al. 2020, developing similar models for occurrence data, but also models trained using species locations with percent cover ≥10%, ≥25%, and ≥50%. We chose predictors from a national library of environmental variables known to physiologically limit plant distributions (Engelstad et al. 2022 Table S1) and relied on human input based on natural history knowledge to further narrow the variable set for each species before developing habitat suitability models. We developed models using...
This dataset contains two predictive lek (breeding site) persistence raster layers covering the U.S. greater sage-grouse distribution. In the United States, locations where males display and breed with females (i.e., leks) are often monitored annually by state wildlife agencies, providing valuable information on the persistence of birds in the surrounding areas. A U.S. range-wide lek database was recently compiled for greater sage-Grouse (O’Donnell et al. 2021), providing a standardized source of information to build statistical models to evaluate environmental characteristics associated with lek persistence. The compiled lek database classified a subset of leks as being either active (leks currently used for breeding...
In 'Broad-scale analysis of greater sage-grouse population trends in response to grazing records in Wyoming, USA (2004-2014)', we provide data and R code necessary for analyzing state-space models for male greater sage-grouse (Centrocercus urophasianus) populations in response to grazing level, timing, and NDVI in Wyoming, USA, and then to compare models with 10-fold cross validation scores (Monroe et al. 2017). In 'Analysis of Land Health Standard failure among allotments in Wyoming, USA (2001-2009)', we provide data and R code necessary for logistic regression analyzing effects of grazing level and timing on the probability of an allotment failing one or more Land Health Standard (LHS) the previous year (Monroe...
These data provide information about vegetation structure and composition associated with Arizona Grasshopper Sparrow territories, nest plots, and random transects on two study sites - Audubon Appleton-Whittell Research Ranch and BLM Las Cienegas National Conservation Area (NCA) - Davis Pasture - in southeastern Arizona. Data were collected from 2009 through 2013. These are data associated with Ruth and Skagen (2017) cited above.
This data bundle contains some of the inputs, all of the processing instructions and all outputs from a single VisTrails/SAHM workflow. This model specifically includes location data for Bombina orientalis and random background locations. Predictors include climatic, topographic, and land cover rasters. The three bundle documentation files are: 1) '_archive_bundle_metadata.xml' which contains FGDC metadata describing the archive bundle. 2) '_archive_raster_inputs.csv' a list of the raster inputs that were used to generate these model results. These are not included in the archive bundle due to size constraints but are identified in this file as well as the metadata document. 3) '_archive_workflow_Final runs.vt'...
Types: Citation;
Tags: Earth,
Globe,
SAHM,
Software for Assisted Habitat Modeling,
Species Distribution modeling,
Potentially suitable habitat for the American burying beetle (Nicrophorus americanus) was identified within the Southern Plains. The American burying beetle (ABB) is listed as endangered under the Endangered Species Act, but in 2019 the U.S. Fish and Wildlife Service proposed to reclassify this species as threatened. We applied a deductive model for the ABB that identified potentially suitable habitat using LANDFIRE Existing Vegetation Types (EVT). The habitat model ranked each EVT using one of four categories: (1) favorable; suitable vegetation to support all or critical portions of the ABB life cycle, (2) conditional; favorable only under certain conditions including seasonality of flooding and land management...
Categories: Data,
Data Release - Revised;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: American burying beetle,
Arkansas,
Kansas,
LANDFIRE,
Missouri,
INHABIT species potential distribution across the contiguous United States (ver. 3.0, February 2023)
We developed habitat suitability models for invasive plant species selected by Department of Interior land management agencies. We applied the modeling workflow developed in Young et al. 2020 to species not included in the original case studies. Our methodology balanced trade-offs between developing highly customized models for a few species versus fitting non-specific and generic models for numerous species. We developed a national library of environmental variables known to physiologically limit plant distributions (Engelstad et al. 2022 Table S1: https://doi.org/10.1371/journal.pone.0263056) and relied on human input based on natural history knowledge to further narrow the variable set for each species before...
Through the North American Bat Monitoring Program (NABat), United States Geological Survey (USGS) provided technical and science support to assist in U.S. Fish and Wildlife Services’ (USFWS) Species Status Assessment (“SSA”) for the northern long-eared bat (Myotis septentrionalis), little brown bat (Myotis lucifugus), and tri-colored bat (Perimyotis subflavus). USGS facilitated the SSA data call, provided data archival for repeatable and transparent analyses, provided statistical support to assess the historical, current, and future population status for each of the three species, and developed a demographic projection tool to evaluate future viability of each species under multiple threat scenarios. These data...
Categories: Data;
Tags: Ecology,
Southern Canada,
USGS Science Data Catalog (SDC),
USGS-EMA-LOW-SB T&E: Bats,
United States,
A dataset comprised of road centerlines in Wyoming, USA, digitized to 2015 aerial photography from the National Agriculture Imagery Program. This dataset is an update to a former U.S. Geological Survey Data Series (“Large scale Wyoming transportation data: a resource planning tool”: O'Donnell and others, 2014) digitized to 2009 aerial photography. The U.S. Geological Survey Fort Collins Science Center created statewide roads data for the Bureau of Land Management Wyoming State Office using 2015 aerial photography from the National Agriculture Imagery Program. To ensure a systematic and repeatable approach of capturing roads on the landscape using on-screen digitizing from true color National Agriculture Imagery...
This data set includes riparian woody stem counts, stem densities and landscape variables collected at 28 sites along the South Platte River, Colorado, United States from 2011-2016. Riparian woody stem densities were collected in the field during 2011, 2015, and 2016, and include the species Ulmus pumila, Populus deltoides, Salix amygdaloides, Fraxinus pennsylvanica, and Elaeagnus angustifolia. For Ulmus pumila, data are included for total stem density and stem densities of three size classes: saplings, medium, and large trees. Landscape variables at each site include: farmstead density, population density, upland Ulmus pumila density, bridge density, road density, active river channel, floodplain area, upstream...
Categories: Data;
Tags: Colorado,
Ecology,
South Platte,
South Platte River,
USGS Science Data Catalog (SDC),
Through the North American Bat Monitoring Program, Bat Conservation International and U.S. Geological Survey (USGS) collaborated with the U.S. Fish and Wildlife Service to provided technical and science support to assistance in U.S. Fish and Wildlife Services’ Species Status Assessment (“SSA”) for the northern long-eared bat (Myotis septentrionalis), little brown bat (Myotis lucifugus), and tri-colored bat (Perimyotis subflavus). We conducted analyses to estimate changes in bat echolocation activity recorded during mobile transect surveys. Bat activity recorded during mobile acoustic transects provide an index of abundance and can be used to determine changes in populations over time (Roche et al. 2011, Jones et...
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