Birds

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 breeding pairs of Black Skimmer and Gull-billed Tern along the northern Gulf of Mexico.

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.

USGS scientists will be analyzing weather surveillance radar observations of birds departing stopover habitats to measure responses to climate change.

USGS is collaborating with Mississippi State University to investigate the effects of fire on Gulf of Mexico marshes. The project will include mapping high marsh and monitoring black rail, yellow rail, and mottled duck responses to prescribed fire application.

A USGS forecasting tool helps Everglades natural resource managers identify management actions that can benefit one or more species while quantifying the potential costs to others.

The Joint Ecosystem Modeling (JEM) team will develop species distribution models that incorporate hydrologic and habitat variables known to influence Cape Sable Seaside Sparrow occurrence.

Mottled ducks rely on the coastal marshes of the Texas Chenier Plain, which are considered among the most critically endangered habitats in the United States. USGS scientists are evaluating what might be contributing to the degradation of high-quality mottled duck habitat to better understand the causes of habitat loss and subsequently mitigate those losses.

Pink-footed geese in Svalbard are a highly valued resource, but their increasing population causes conflicts with agricultural needs. USGS is devloping population models to help inform management of optimal harvest strategies.

Joint Ecosystem Modeling (JEM) provides real-time habitat suitability models for species of interest in Everglades restoration planning, including the federally endangered Everglades snail kite.

The Sparrow Helper tool allows for the evaluation of water management scenarios by generating, plotting, and mapping hydrologic metrics across a range of time scales to predict impacts of proposed water depth changes to sparrow subpopulations.

WADEM (Wader Distribution Evaluation Modeling) is a JEM model that estimates species-specific habitat suitability across the landscape for Great Egret ( Ardea alba ), White Ibis ( Eudocimus albus ), and Wood Stork ( Mycteria americana ).