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False positive occupancy analysis predictions with model uncertainty based on summertime data provided to support the status assessment (SSA) for Myotis lucifigus (MYLU). The objectives outlined by the Fish and Wildlife Service’s SSA team were to estimate summertime distributions across the entire species range. Statistical analysis included five types of response data requested from the North American Bat Monitoring Program database (NABat): automatically identified stationary acoustic calls, manually vetted stationary acoustic calls, automatically identified mobile acoustic calls, manually vetted mobile acoustic calls, and capture records. Statistical analysis was for the summertime distribution modeling, data...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Ecology,
Land Use Change,
United States,
biota
The Randomized Shortest Path (RSP) raster delineates potential dispersal paths for male-mediated gene flow between grizzly bear (Ursus arctos) populations in the Greater Yellowstone Ecosystem (GYE) and the Northern Continental Divide Ecosystem (NCDE). A RSP algorithm was used to estimate the average number of net passages for all grid cells at a spatial resolution of 300 m in the study region which spans parts of Montana, Idaho, and Wyoming. RSP rasters identify potential movement paths for 3 levels of random deviation determined by the parameter Θ (i.e., Θ = 0.01, 0.001, and 0.0001) for bears moving from an origin to a destination node. Lower values of Θ result in greater exploration and more random deviation around...
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Glacier National Park,
Grizzly Bears,
Idaho,
Montana,
Northern Continental Divide Ecosystem,
This section of the data release includes the spatial metadata geospatial polygon feature dataset (.shp file) that contains spatial footprints for each input source dataset used to develop the topobathymetric dataset of Great Salt Lake. The attributes for each footprint polygon describe the characteristics of each input dataset used to generate the topobathymetric dataset.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: 3D Elevation Program,
3DEP,
Acoustic Sonar,
Antelope Island,
Bear River,
The 1966 polygons included in this data release represent the main body portion of the 37 named glaciers of Glacier National Park (GNP) and 2 named glaciers on the U.S. Forest Service’s Flathead National Forest land. This is a subset of the original mapping effort derived from 1:24000 scale mapping of named glaciers and permanent snowfields within Glacier National Park, Montana which were digitized by Richard Menicke (Glacier National Park) and Carl Key (U.S. Geological Survey) in 1993. These data are based on USGS 7.5 minute quadrangle mapping published from 1966 through 1968 which were the result of the earliest park-wide aerial surveys of snow and ice features in GNP. Examination of the aerial photographs shows...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: 1966,
CCME-glacier,
Flathead County,
GLAC,
Glacier County,
These polygon features represent the maximum extent of the 37 named glaciers in Glacier National Park and two glaciers on U.S. Forest Service’s Flathead National Forest land during the peak of the Little Ice Age (mid-nineteenth century). Glacial margins are based on moraine deposits that result from active glaciation, and do not depict perennial snow and ice. Moraines were digitized based on WorldView imagery acquired on the following dates: 20141019, 20150822, 20150912, 20150925, 20160821, 20160915 (World View 01 and World View 03 satellites). High resolution imagery was supplemented with oblique aerial photographs flown in 2009 and 2016, historic photographs from the USGS photograph collection, and field notes...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: CCME-glacier,
Flathead National Forest,
Glacier National Park,
Montana,
aerial imagery,
To determine minimum coverage of perennial snow and ice cover for Glacier National Park, the minimum extent of glaciers and multi-year snow features were digitized from satellite imagery (10-meter NAPP 2003, NAIP 2005, and NAIP 2013, and 30-cm resolution, multispectral, pansharpened Digital Globe WorldView satellite imagery collected in late summer and fall 2015). Features were digitized in ArcGIS version 10.2 using a Wacom Intuos 4 digitizing tablet. Snow and ice features were classified as glacier, large ice mass, or perennial snow/ice. Glaciers were based on current, named glaciers. Remnant ice features not large enough to be classified as glaciers, but showing evidence of crevasses, were classified as large...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Glacier National Park,
Montana,
biota,
cryosphere,
geospatial,
False positive occupancy analysis predictions with model uncertainty based on summertime data provided to support the status assessment (SSA) for Perimyotis subflavus (PESU). The objectives outlined by the Fish and Wildlife Service’s SSA team were to estimate summertime distributions across the entire species range. Statistical analysis included five types of response data requested from the North American Bat Monitoring Program database (NABat): automatically identified stationary acoustic calls, manually vetted stationary acoustic calls, automatically identified mobile acoustic calls, manually vetted mobile acoustic calls, and capture records. Statistical analysis was for the summertime distribution modeling,...
These polygon features represent digitization of the glacier margins for the 37 named glaciers of Glacier National Park (GNP) and two glaciers on U.S. Forest Service’s Flathead National Forest land, derived from 2015 satellite imagery. The polygons represent only the main body portion of each glacier as it appeared in 2015 satellite imagery. Disconnected patches are not included as this dataset represents only the main body features of the named glaciers in GNP and environs. Polygons were digitized from WorldView imagery acquired on the following source dates: 20150822, 20150912, 20150915, 20150925 (World View 01 satellite). Initial digitization was completed by Melissa Brett, PSU graduate student. This set of polygons...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: 2015,
CCME-glacier,
Flathead National Forest,
Glacier National Park,
Montana,
Using data from 288 adult and yearling female elk that were captured on 22 Wyoming winter supplemental elk feedgrounds and monitored with GPS collars, we fit Step Selection Functions (SSFs) during the spring abortion season and then implemented a master equation approach to translate SSFs into predictions of daily elk distribution for 5 plausible winter weather scenarios (from a heavy snow, to an extreme winter drought year). We then predicted abortion events by combining elk distributions with empirical estimates of daily abortion rates, spatially varying elk seroprevalence, and elk population counts. Here we provide the predicted abortion events on a daily basis at a 500m resolution for the 5 different weather...
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster;
Tags: Brucella abortus,
Cervus canadensis,
Grand Teton National Park,
Jackson,
Lincoln,
The dataset “Glacier_National_Park_alpine_stream_sampling_watersheds,_2011-2013.shp” is a GIS shapefile of the drainage areas of each of the 129 alpine and glacial aquatic macroinvertebrate collection sites included in an analysis to test the prediction that glacier retreat reduces biodiversity in mountain ecosystems through the loss of uniquely adapted meltwater stream species in Glacier National Park, USA. In conjunction with the dataset “Minimum snow and ice coverage for GNP, 2003-2015”, this dataset was used to calculate the proportion of contemporary ice and snow coverage for each watershed drainage area.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Glacier National Park,
Montana,
biota,
cryosphere,
geospatial,
These data represent occupancy estimates for western bumble bee across the western continental United States and the spatial variation in detection probabilities that occur during bumble bee surveys. This product contains five raster layers (appearing as separate bands in a multi-band raster). The first two bands represent the predicted occupancy of western bumble bee in 1998 and 2018. We modeled western bumble bee occupancy as a function of: latitude, longitude, elevation, year, and land cover. The last three bands represent the spatial variation in detection probabilities predicted to occur for surveys conducted across the western United States on three dates (May 15, July 15, and September 15). We modeled detection...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
Bombus occidentalis,
California,
Colorado,
Detection Probability,
False positive occupancy analysis predictions with model uncertainty based on summertime data provided to support the status assessment (SSA) for Myotis septentrionalis (MYSE). The objectives outlined by the Fish and Wildlife Service’s SSA team were to estimate summertime distributions across the entire species range. Statistical analysis included five types of response data requested from the North American Bat Monitoring Program database (NABat): automatically identified stationary acoustic calls, manually vetted stationary acoustic calls, automatically identified mobile acoustic calls, manually vetted mobile acoustic calls, and capture records. Statistical analysis was for the summertime distribution modeling,...
These polygon features represent a comprehensive inventory of perennial snow and ice on the landscape in Glacier National Park (GNP) in 2005. This dataset does not include the 2005 extent of the named glaciers in GNP, which have been previously published. Of the perennial snow and ice features delineated here, 1.68 km2 (15.08%) of the total area exhibits characteristics indicative of active glacial ice. The imagery used to delineate perennial snow and ice was taken late season, therefore, all snow and ice present on the landscape is assumed to be perennial. Polygons were digitized based on National Agricultural Imagery Program (NAIP) imagery acquired in 2005, imagery acquired by the National Park Service in 2004...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: CCME-glacier,
Glacier National Park,
Montana,
USGS Science Data Catalog (SDC),
aerial imagery,
A raster surface identifying hotspots of conservation priority based on 375 location records (89 unique geographic locations) of 28 species of Carnivora in Peninsular Malaysia. Hotspot analysis was conducted by calculating the Getis-Ord Gi* (pronounced G-i-star) statistic, using IUCN Red List status rank for each species as a weighting variable. Raster cell values represent a kernel density of z-scores measuring the statistical significance of clustering or dispersion of species of conservation concern. Areas of high clustering (high z-scores) correspond to areas on Peninsular Malaysia where carnivore communities of conservation concern are more likely to persist, and delineate priority regions for carnivore conservation....
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Asia,
Carnivora,
Ecology,
Getis-Ord Gi*,
Malaysia,
These data represent occupancy estimates for western bumble bee across the western conterminous United States. This product contains five raster layers (appearing as separate bands in a multi-band raster). The first two bands represent the predicted occupancy of western bumble bee in 1998 and 2020. We modeled western bumble bee occupancy as a function of climate and land cover. The last three bands represent future occupancy projections of western bumble bee into the mid-century (2050s). The future projections cover a range of expected changes in climate and land cover and are ranked as best-case (band 3), middle-case (band 4), and worst-case (band 5).
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
California,
Colorado,
Ecology,
Idaho,
The spread of white-nose syndrome (WNS) across the eastern United States has raised conservation concerns and provided motivation for efforts to monitor the impacts of this disease. Currently, WNS has not yet been detected in Montana, or any other western state besides Washington, and it is unknown how severe it will impact species in this region once it arrives. Within an occupancy model framework, we analyzed mist netting and acoustic records for eight bat species in Montana to estimate baseline distributions across the state prior to the arrival of WNS. Heterogeneity in the probabilities of occupancy for each species was explained with covariates for forest cover (%), elevation, ruggedness, and average degree...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Ecology,
Land Use Change,
Montana,
USGS Science Data Catalog (SDC),
biota
The Wyoming statewide time-stamped oil and gas wells shapefile was developed to provide a historical perspective of drilling activity for the Wyoming Landscape Conservation Initiative (WLCI). This product approximates start and stop dates for each well in Wyoming based on database attributes. These data originated from the Wyoming Oil and Gas Conservation Commission (WOGCC). Data represent 120 years of oil and gas drilling (1900 to 2020) and will facilitate a landscape-level approach to integrated science-based assessments, resource management, and land-use decision making. Oil and gas data from WOGCC were used in a dataset previously published by Biewick in 2010 (https://pubs.usgs.gov/ds/625/). This product expands...
Categories: Data,
Data Release - In Progress;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Ecology,
Energy Resources,
Gas,
Impacts of Energy Production,
Land Use Change,
These polygon features represent digitization of the glacier margins for the 37 named glaciers of Glacier National Park (GNP) and two glaciers on U.S. Forest Service’s Flathead National Forest land, derived from 2005 NAIP imagery. The polygons represent only the main body portion of each glacier as it appeared in 2005 NAIP imagery. Disconnected patches are not included as this dataset represents only the main body features of the named glaciers in GNP and environs. Polygons were digitized from NAIP imagery acquired on the following source dates: 20050731, 20050826, 20050827. Initial digitization was completed by Kristina A Dick, Portland State University graduate student. This set of polygons represents revisions...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: 2005 NAIP imagery,
CCME-glacier,
Flathead National Forest,
Glacier National Park,
Montana,
These polygon features represent the maximum extent of glaciers in Glacier National Park and two glaciers on U.S. Forest Service’s Flathead National Forest land during the peak of the Little Ice Age (mid-nineteenth century). Glacial margins are based on moraine deposits that result from active glaciation, and do not depict perennial snow and ice. The criteria used for determining which moraines constituted a former glacier were a) whether a terminal moraine was present, and b) whether the glacier area was five aces or more. Moraines were digitized based on the best available imagery, including WorldView imagery acquired between 2015 and 2017, border Imagery from the Department of Homeland Security acquired in 2009...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: CCME-glacier,
Flathead National Forest,
Glacier National Park,
Montana,
aerial imagery,
These polygon features represent digitization of the glacier margins for the 37 named glaciers of Glacier National Park (GNP) and the 2 glaciers along the border of GNP derived from aerial images acquired on September 11, 12, 14, 15, 1998. The polygons represent only the main body portion of the glacier as they appeared in the 1998 imagery. Disconnected patches are not included as this dataset represents only the main body features. Polygons were digitized from orthorectified aerial images with initial digitization completed in 2001 by Michelle Manly, University of North Dakota graduate student. This set of polygons represents a thorough review with revisions to the initial dataset based on local knowledge and improved...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: 1998 aerial imagery,
CCME-glacier,
Flathead County,
GLAC,
Glacier County,
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