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Data

USGS scientists are developing science-based tools and approaches to assist resource managers in prioritizing areas for future energy development. They also are focused on methods for fatality estimation and risk assessment in addition to broadly applicable management support tools.

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, 7) r

Effects of wind-energy facilities on breeding grassland bird distributions - data release

This data release contains breeding-bird densities in native mixed-grass prairie collected from 2003 to 2012 at and adjacent to wind farms in North and South Dakota, USA, for one year prior to turbine construction and several years post-construction. One dataset contains breeding-bird densities per 100 ha by distance from turbines for categories of 0-100 m, 100-200 m, 200-300 m, and greater than 3