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Person

Cali L Roth

WILDLIFE BIOLOGIST

Western Ecological Research Center

Email: croth@usgs.gov
Office Phone: 530-669-5073
Fax: 707-678-5039
ORCID: 0000-0001-9077-2765

Location
800 Business Park Dr
800 Business Park Drive
Dixon , CA 95620
US

Supervisor: Peter S Coates
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This dataset contains a bare earth digital elevation model (DEM), with a 0.5-square-meter (m2) cell size, of the Cottonwood Lake Study Area, Stutsman County, North Dakota. The DEM was based primarily on airborne lidar data acquired by Fugro Horizons of Rapid City, South Dakota, and made into a DEM by USGS personnel using the ArcGIS extension LP360 (QCoherent Software, 2013). Additional DEM processing to incorporate the bathymetry of study wetlands was done using survey-grade global positioning system (GPS) data collected by soundings of the bottom of each wetland. Through these steps, a continuous elevation model representing both the surrounding uplands and wetland basins was produced for the site (Mushet and Scherff...
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We evaluated nest site selection and nest survival both before and after a fire disturbance occurred. We then combined those surfaces to determine the areas which were most heavily impacted by the fire.
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This dataset is North American Breeding Bird Survey bird-count data for the routes and stops in North Dakota, USA, in which ten mixed-grass-prairie-endemic species occurred, as well as the mean habitat-quality ranking scores derived from applying the Habitat Quality Module of the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) to spatial layers for landuse/landcover from the National Agricultural Statistics Survey, CRP from USDA, urban and road areas from US Census Bureau (Tiger/Line), and energy development from USGS. The bird-count data is the total sum of counts for the focal ten species; individual species counts are not part of the dataset.
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This raster dataset depicts phase 1 pinyon-juniper expansion , where shrubs and herbs are the dominant vegetation and conifers occupy greater than zero percent to ten percent, intersecting documented sage-grouse habitat management categories (Coates et al., 2016a, Coates et al., 2016b). These data support the following publication: K. Benjamin Gustafson, Peter S. Coates, Cali L. Roth, Michael P. Chenaille, Mark A. Ricca, Erika Sanchez-Chopitea, Michael L. Casazza, Using object-based image analysis to conduct high- resolution conifer extraction at regional spatial scales, International Journal of Applied Earth Observation and Geoinformation, Volume 73, December 2018, Pages 148-155, ISSN 0303-2434, https://doi.org/10.1016/j.jag.2018.06.002....
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Sage-grouse continue to use habitat following wildfire, so prioritizing high selection, low survival areas can help ameliorate potential post-wildfire ecological traps. This shapefile represents areas within the burn scars at the Virginia Mountains field site which are high selection and high or low survival which have been deemed to be 'priority' targets for post-fire restoration efforts. The 'burn scar' used in this project is an amalgamation of multiple fires which occurred within the field site during the summers of 2016 and 2017.
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