Modeling Tools

"BearTrak" is an app that provides a central repository for Louisiana black bear tracking data, allowing managers to access information more quickly and reliably. USGS science was used in the decision to delist the species from the Endangered Species Act in 2016. Louisiana Department of Wildlife and Fisheries continues to monitor the Louisiana black bear population.

The Gulf sturgeon, Acipenser oxyrinchus desotoi, has been listed as Threatened since 1991. Beginning in 1986, USGS has been investigating sturgeon population abundance and ecology throughout its range, but mostly in the Suwannee River.

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.

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.

Wildlife management boundaries often lack biological context, including 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 to facilitate the management and conservation of populations and habitats.

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.

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.

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.

Applying quantitative methods to evaluate ecological hypotheses for wild animal populations is inherently challenging due to the complexity of ecological systems and the sampling process that is used to monitor them.