Louisiana

The Coastwise Reference Monitoring System was designed to monitor the effectiveness of restoration actions at individual sites, as well as across the entire Louisiana coast.

The federally threatened piping plover relies on sand-beach habitat year-round for nesting, foraging, and roosting, habitat that is particularly vulnerable to loss and degradation from coastal development, recreation activities, erosion, and sea-level rise.

A new study aims to collect information on sturgeon temporal and spatial distribution to inform offshore wind energy and sand leasing operations.

Researchers are investigating beach compaction, the incubation environment for turtle nests, and shorebird nest abundance at beaches throughout the southeastern United States to better understand the impacts of beach compaction to nesting turtles and foraging seabirds.

The USGS is collaborating with researchers from other agencies, academia, and industry to predict coastal impacts from hurricanes. The results from this study will better inform coastal morphological change models, which will lead to improved hurricane impact projections.

USGS researchers will provide technical guidance to inform the development of monitoring plans for the western coast of Louisiana.

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.

To assess use of dredge material areas, avian ecologists from USGS WARC are conducting bird surveys across the annual life cycle.

In order to enhance habitat for nesting Brown Pelicans, terns, Black Skimmers, and gulls, the USFWS has contracted with USGS to conduct project monitoring on North Breton Island from FY23 to FY31. Monitoring conducted by USGS will facilitate evaluation of habitat characteristics and determine restoration success or need for adaptive management.

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.