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We used the 1981 historical imagery of the Escalante River, Utah in ArcGIS to quantify channel area and average width and quantify woody riparian vegetation cover in two reaches of the river. Reach 1 was approximately 15 river kilometers (rkms) long and located between Sand and Boulder creeks within Grand Staircase Escalante National Monument. Reach 2 was approximately 16 rkms in length, extending from the Glen Canyon National Recreation Area boundary to just upstream of Choprock Canyon. We delineated the extent of active channel. Active channel was defined as the portion of the channel free of vegetation. We also delineated fluvial geomorphic features such as point bars, mid-channel bars, lateral bars and floodplain....
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Escalante River, Utah,
Riparian ecosystems,
Southwestern U.S.,
biota,
channel narrowing,
The “Biophysical assessment for indemnity selection of federal lands in Colorado: Indemnity Unit locations” dataset delineates the spatial locations of 89 Indemnity Units, comprising 339 parcels of federal lands. These lands, currently managed by the Bureau of Land Management (BLM), are under consideration for transfer of ownership to the State of Colorado in compensation for federal lands not available for transfer at the time of statehood. The Indemnity Units total 23,130 acres of surface and mineral estate and 6,150 acres of mineral estate only. The specific land parcels to be transferred to the State will be finalized after an environmental analysis is completed, as required by the National Environmental Policy...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Colorado,
boundaries,
cadastral areas
This study uses growth in vegetation during the monsoon season measured from LANDSAT imagery as a proxy for measured rainfall. NDVI values from 26 years of pre- and post-monsoon season Landsat imagery were derived across Yuma Proving Ground (YPG) in southwestern Arizona, USA. The LANDSAT imagery (1986-2011) was downloaded from USGS’s GlobeVis website (http://glovis.usgs.gov/). Change in NDVI was calculated within a set of 2,843 Riparian Area Polygons (RAPs) up to 1 km in length defined in ESRI ArcMap 10.2.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arizona,
Landsat TM,
NDVI,
Normalized Difference Vegetation Index,
Sonoran Desert,
We used the 1951/1960 historical imagery of the Escalante River, Utah in ArcGIS to quantify channel area and average width and quantify woody riparian vegetation cover in two reaches of the river. Reach 1 was approximately 15 river kilometers (rkms) long and located between Sand and Boulder creeks within Grand Staircase Escalante National Monument. For Reach 1 we used the earliest available imagery which was from 1960. Reach 2 was approximately 16 rkms in length, extending from the Glen Canyon National Recreation Area boundary to just upstream of Choprock Canyon. For Reach 2 the earliest imagery was from 1951. We delineated the extent of active channel. Active channel was defined as the portion of the channel free...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Escalante River, Utah,
Riparian ecosystems,
Southwestern U.S.,
biota,
channel narrowing,
Point locations for Russian olive stems aged in the field in two reaches along the Escalante River in fall of 2014 and spring through fall of 2015. Dataset includes information for each stem on diameter at stump height (DSH), age when the tree was cut, year it was cut, estimated year of establishment, and ArcGIS-estimated distances to the mapped 1981 active stream channel of the Escalante River.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Boulder, Utah,
Cottonwood,
Elaeagnus angustifolia,
Escalante River,
Escalante River, Utah,
The spatial context of invasions is increasingly recognized as important for the success and efficiency of management actions. This information can be key for managing invasive grasses that threaten native ecosystems. We calculated landscape metrics and circuit-based centrality for invasive grasses using a source input raster of weighted-average annual herbaceous cover from 2016-2018 (Maestas et al. 2020, 30 meter resolution) in the Great Basin, USA. This shapefile data product includes the summarized landscape metrics and connectivity metrics for 15 kilometer grid cells (n = 2408) across the Great Basin, USA. Metrics for each grid cell include: mean patch area (area_mn), class area (ca), number of patches (np),...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: California,
Ecology,
Great Basin,
Idaho,
Montana,
We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different population growth rates among smaller clusters. Equally so, the spatial structure and ecological...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Centrocercus urophasianus,
Greater sage-grouse,
Nevada,
United States,
adaptive management,
This data release contains the results from the North American Bat Monitoring Program's report titled 'Status and Trends of North American Bats Summer Occupancy Analysis 2010-2019'. Specifically, these data include tabular data and geospatial data for the species-specific results related to the status and trends of 12 bat species at multiple spatial scales including: 10 km x 10 km grid cells, state/province/territories, and range-wide across the geographic extent of monitoring data for each species (i.e., across 'modeled species ranges'). They were produced using an analytical pipeline supported by web-based infrastructure for integrating continental scale bat monitoring data (stationary acoustic, mobile acoustic,...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alaska,
Bats,
Biota,
Canada,
Continental United States,
We used the 2010 historical imagery of the Escalante River, Utah in ArcGIS to quantify channel area and average width and quantify woody riparian vegetation cover in two reaches of the river. Reach 1 was approximately 15 river kilometers (rkms) long and located between Sand and Boulder creeks within Grand Staircase Escalante National Monument. Reach 2 was approximately 16 rkms in length, extending from the Glen Canyon National Recreation Area boundary to just upstream of Choprock Canyon. We delineated the extent of active channel. Active channel was defined as the portion of the channel free of vegetation. We also delineated fluvial geomorphic features such as point bars, mid-channel bars, lateral bars and floodplain....
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Escalante River, Utah,
Riparian ecosystems,
Southwestern U.S,
biota,
channel narrowing,
Dr. Richard Janda of the USGS began a channel monitoring program in Redwood Creek in northern coastal California in 1973. The USGS continued this work through 2013, when the Research Geologist, Dr. Mary Madej retired. This effort produced 40 years of channel change data in rivers that were disrupted by severe erosion following timber harvest of old-growth redwood forests, a portion of the program's data (plus 1953 data) has been preserved in this data release. Original field surveys documented bank erosion, aggradation, and degradation at 60 cross-sectional transects at annual or biannual timesteps. Three river reaches also have long-term longitudinal channel bed surveys which document the distribution and development...
Categories: Data,
Publication;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: 44 Creek,
Bond Creek,
California,
Dolason Creek,
Elam Creek,
We analyzed detection/non-detection data from acoustic surveys of bat species in Colorado during the summers of 2016 and 2017. The goal of this analysis is to create species distribution maps estimating the probability of occupancy across the state for each species. We fit a community occupancy model using both years of data from all the available species. Spatially explicit covariates were included to explain heterogeneity in the probabilities of occupancy and nightly covariates were used to model detection. We also allowed for spatial patterns in the probability of occupancy for each species in order to account for the ranges of many species including only a portion of Colorado. This is also useful for explaining...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Colorado,
Ecology,
Land Use Change,
USGS Science Data Catalog (SDC),
biota
The U.S. Geological Survey (USGS) Fort Collins Science Center created a national data set of the footprint area of solar arrays for the Bureau of Land Management’s National Operations Center. We identified potential solar facility locations for the conterminous U.S. using the U.S. Energy Information Administration (EIA) utility-scale facilities data from 2015. The footprint area of each solar array was digitized on-screen using true color aerial imagery from the most recently available National Agriculture Imagery Program (NAIP) for each state (NAIP 2013-2015). We used supplementary ESRI basemap imagery accessed via ArcGIS to verify locations of arrays observed in NAIP imagery. Arrays separated by more than 30 meters...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Array,
Conterminous United States,
Development footprint,
Energy development,
Solar,
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