Southwest Biological Science Center

Data and Tools

Filter Total Items: 157
Date published: January 1, 2018

Central Mojave Desert Vegetation Mapping Project, California, 1997-1999

The U.S. Geological Survey (USGS) Data at Risk (DaR) team partnered with the USGS Southwest Biological Science Center (SBSC) to preserve and release tabular data, shapefiles and field photographs of the Central Mojave Desert from 1997-1999. The data were originally collected as part of an effort through the Desert Managers Group (DMG) to develop scientific information on the distribution and...

Date published: January 1, 2018

Acoustic backscatter—Data and Python Code

These data were compiled for investigating the relationship between acoustic backscattering by riverbeds composed of various riverbed substrates (bed sediment), and for developing and testing a probabilistic model for substrate classification based on high-frequency multibeam acoustic backscatter. The model is described in Buscombe et al. (2017). The data consist of various quantities on...

Date published: January 1, 2018

Remote sensing derived maps of tamarisk (2009) and beetle impacts (2013) along 412 km of the Colorado River in the Grand Canyon, Arizona

These data are aerial image-derived, classification maps of tamarisk (Tamarisk spp.) in the riparian zone of the Colorado River from Glen Canyon Dam to Separation Canyon, a total river distance of 412 km. The classification maps are published in GIS vector format. Two maps are published: 1) a classification of tamarisk from a 0.2 m resolution multispectral image dataset acquired in May 2009 (...

Date published: January 1, 2018

Low Intensity Land-use Overlap Colorado Plateau

This dataset represents the spatial overlap in areas with present (cropland, grazing, and recreation), potential (petroleum resources), or future (population) low-intensity land-use. The final areas designated as low-intensity land-use represent low intensity relative to the range of values for that variable in this region, either present or future, and do not represent the rate of change,...

Date published: January 1, 2018

Environmental conditions, covariate data used in model fitting, and long-term establishment predictions from 1979 to 2016 in the Great Basin, USA

Data was collected to characterize the conditions under which sagebrush occurs after seeding and wildfire in the Great Basin, and used to parameterize models used to explore adaptive seeding approaches. Data includes plot level field data on sagebrush occurrence, density, weather, and soil moisture conditions in the year that seeding after wildfire occurred. Weather data includes both average...

Date published: January 1, 2018

Watershed potential erosion rate ranking system and check-dam placement suitability data within the Southern Rockies Landscape Conservation Cooperative (SRLCC)

Using Natural Resource Conservation Service (NRCS) soil databases, topographic features derived from digital elevation models, stream networks, and regional climatic patterns, I developed a ranking system for watershed potential erosion rates and suitability for check-dam placement across the SRLCC. This ranking system serves as a first step for land managers to prioritize areas for check-dam...

Date published: January 1, 2018

Geomorphology and Campsite Data, Colorado River, Marble and Grand Canyon, Arizona

This ESRI geodatabase consists of 5 feature datsets with 23 individual polygon feature classes and two raster datasets. A master campsite polygon feature class represents the boundaries of campsites identified in the 1973, 1984, and 1991 campsite inventories of the Colorado River corridor in Grand Canyon, Arizona. The other polygon feature classes represent camp locations along the Colorado...

Date published: January 1, 2018

Landscape-scale wildlife species richness metrics

These raster data represent the results of a case study in Arizona on how vertebrate richness metrics can be used with existing state and federal guidance in wind and solar energy facility siting. Each of the four geodatabases (see Cross References) contain eight native terrestrial wildlife group models in Arizona: 1) all vertebrates, 2) amphibians, 3) reptiles, 4) birds, 5) mammals, 6) bats,...

Date published: January 1, 2018

Photovoltaic Solar Power Potential 2012 Colorado Plateau

Annual available energy for photovoltaic solar power generation in Wh/sq. m./day determined with the RE Atlas (NREL 2012, Lopez et al. 2012). Lopez, A., B. Roberts, D. Heimiller, N. Blair, and G. Porro. 2012. U.S. Renewable Energy Technical Potentials: A GIS-Based Analysis. U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, National Renewable Energy Laboratory,...

Date published: January 1, 2018

Spatial distribution and risk analysis data for diamond-backed terrapins relative to crab trapping, Savannah Coastal Refuge Complex, USA

There were five objects for compiling these data: 1) to conduct a systematic inventory of diamond-backed terrapins (Malaclemys terrapin) using headcount surveys on four National Wildlife Refuges (Harris Neck, Blackbeard Island, Wassaw, and Wolf Island) that are a part of the greater Savannah Coastal Refuges Complex in southeast Georgia, USA; 2) to use occupancy modeling to determine detection...

Date published: January 1, 2018

Continuous Detection PIT Array - Data and Models

These data represent a set of capture histories of rainbow trout (Oncorhynchus mykiss or RBT) captured in the Colorado River (CR) and(or) detected on the multiplexer array in the Little Colorado River (LCR). Capture trips to the Colorado River occurred in April 2012, July 2012, September 2012, January 2013, April 2013, July 2013, September 2013, January 2014, April 2014, July 2014, and...

Date published: January 1, 2018

Climate, hydrology and riparian vegetation composition data, Grand Canyon, Arizona

These data were compiled for monitoring riparian vegetation change along the Colorado River. This file contains data recorded at 42 sandbars between Lees Ferry and Diamond Creek, AZ, which are sampled for both geomorphic and vegetation change annually. Field data contained here were collected from 2012 to 2016 in September and October of each year. Plant species cover values in 5441 1m^2...