Modeling Tools

Wildlife management boundaries frequently lack biological context, such as information on habitat resource availability and wildlife movements. To address this, we developed multiple levels of biologically relevant and hierarchically nested greater sage-grouse (Centrocercus urophasianus) population units that could facilitate management and conservation of populations and habitats.

Understanding the short- and long-distance movements of wildlife is critical for a wide variety of ecological research questions and management decisions. Since the mid-1980s, the USGS Alaska Science Center has used information from telemetry devices on wildlife species to determine locations of animals throughout their annual cycles, understand patterns of habitat use, quantify time spent on...

The North Pacific Pelagic Seabird Database (NPPSD) contains survey transect data designed and conducted by numerous partners primarily to census seabirds at sea. The NPPSD includes more than 486,000 transect segments and includes observations of over 20 million birds of 258 species collected over the span of 50 years (from 1973 to 2022).

The U.S. Geological Survey’s Eastern Ecological Science Center is home to the Northeast Amphibian Research and Monitoring Initiative (NEARMI), one of 7 ARMI regions across the United States. NEARMI works on public lands in thirteen states from Maine to Virginia, including many National Parks and National Wildlife Refuges.

WARC researchers partnered with managers and species experts to develop a Bayesian network model and a geospatial habitat characteristics dataset to predict the number of Brown Pelican breeding pairs on islands in the northern Gulf of Mexico.

WARC researchers partnered with beach mice managers and biologists to estimate habitat objectives and the amount of effort needed to achieve the habitat objective (i.e., management efficiency) for three beach mice subspecies in Florida’s panhandle.

Researchers will develop and optimize an eDNA assay to delineate the current distribution of P. inflatus. The assay will then be used to provide up-to-date distributional information and detection rates for P. inflatus in the Pearl River basin.

Using ecological and geographical data, WARC researchers and their partners are analyzing avian and benthic sampling on Whiskey Island and Caminda Headland to compare pre- and post-restoration aspects of habitat occupancy, habitat availability, habitat use, and kernal density estimation.

USGS scientists are using a spatially-explicit Bayesian network model to predict the difference between energetic value and energetic demand for stopover habitats for migrating landbirds.

Available here are tracking data of Spectacled Eider, a sea duck species that breeds only in Alaska and Russia and spends the winter exclusively in the Bering Sea. The Alaska breeding population is listed as threatened under provisions of the Endangered Species Act. These data were collected to better understand the winter distribution in the Bering Sea and locate birds for winter aerial surveys...

The U.S. Geological Survey Upper Midwest Environmental Sciences Center is developing deep learning algorithms and tools for the automatic detection, enumeration, classification, and annotation of seabirds and other marine wildlife from digital aerial imagery — advancing cutting-edge research in collaboration with the Bureau of Ocean Energy Management (BOEM), the U.S. Fish and Wildlife Service (FWS...

WARC researchers will estimate the density and distribution of bobcats in relation to environmental variables through the development of spatially explicit capture-recapture and occupancy models.