Species of Management Concern

USGS researchers will examine how hydrology and landscape vegetation changes impact Cape Sable Seaside Sparrow survival and population growth.

Join USGS in helping to prevent the spread of the invasive purple loosestrife in Louisiana.

Fifty-seven fish biologists from 12 organizations participated in a three-day Fish Chat and Slam event in South Florida.

Researchers will use a multi-scale approach to determine how barrier construction and lighting may impact migratory birds in the Lower Rio Grande Valley.

Forty-two fish biologists from seven organizations participated in a two-day Spring Fish Slam event in southwest Florida. Fourteen species of non-native fishes were collected or observed.

Wetland and Aquatic Research Center and Fort Collins Science Center are coordinating a long-term, landscape-scale Burmese python research strategy for South Florida.

Goals of the ATLSS Program are to help achieve a better understanding of components of the Everglades ecosystem, to provide an integrative tool for empirical studies, and to apply these tools to an adaptive management framework.

WARC Researchers are using a variety of methods to assess mammal communities across the Greater Everglades.

The USGS partnered with the U.S. Fish and Wildlife Service and its conservation partners to develop 16 Biological Planning Units (BPU) and six Aquatic Extensions and compile population objectives for 166 species that are representative of habitats within each BPU.

WARC researchers partnered with Gulf Sturgeon decision makers and biologists to develop a Bayesian network model that uses habitat characteristics to predict the quantity of juvenile winter foraging habitat under alternative river discharge and timing of juvenile arrival scenarios.

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 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 Coast.