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Wetland and Aquatic Research Center

WARC conducts relevant and objective research, develops new approaches and technologies, and disseminates scientific information needed to understand, manage, conserve, and restore wetlands and other aquatic and coastal ecosystems and their associated plant and animal communities throughout the nation and the world. 

News

AquaDePTH: Merging Aquatic Disease Surveillance Data into One Useful Tool

AquaDePTH: Merging Aquatic Disease Surveillance Data into One Useful Tool

Fisheries of the Aleutian Arc and Alaska: Their Importance, Challenges, and the Role of Exploration

Fisheries of the Aleutian Arc and Alaska: Their Importance, Challenges, and the Role of Exploration

Exploring Critical Minerals and Volcanic Processes in Aleutian Rocks

Exploring Critical Minerals and Volcanic Processes in Aleutian Rocks

Publications

21st-century mangrove expansion along the southeastern United States 21st-century mangrove expansion along the southeastern United States

Warming winter temperatures are driving range expansion of tropical, cold-sensitive mangroves into temperate ecosystems. Along the Atlantic coast of North America, the mangrove range limit is particularly sensitive to climate variability and historical data demonstrate that the mangrove-salt marsh ecotone on this coast has shifted recurrently during recent centuries. However, a...
Authors
Lucia I.A. Enes Gramoso, Dustin Carrol, Kyle C. Cavanaugh, Remi Bardou, Michael Osland, Tom Van der Stocken

Phytoplankton biomass dynamics in wet (2019) and dry (2023) years in Lake Pontchartrain estuary, Louisiana from Sentinel 2-MSI and PACE-OCI observations Phytoplankton biomass dynamics in wet (2019) and dry (2023) years in Lake Pontchartrain estuary, Louisiana from Sentinel 2-MSI and PACE-OCI observations

This study provides a comprehensive assessment of phytoplankton biomass dynamics in Lake Pontchartrain, Louisiana, by combining monthly water quality data with multispectral and hyperspectral satellite observations using a machine learning algorithm. A machine learning model based on Variational Autoencoder (VAE), globally applicable, was used to estimate phytoplankton biomass via...
Authors
Shiwani Shrestha, Bingqing Liu, Jiang Li, Wei Huang, Melissa Millman Baustian, Eurico J. D'Sa, Sibel Bargu, Francesca Messina, Ioannis Y. Georgiou, Abhishek Kumar, Angelina Freeman, Scott Mize

Biologging to identify nesting and non-nesting emergences for four species of imperiled sea turtles Biologging to identify nesting and non-nesting emergences for four species of imperiled sea turtles

Quantifying sea turtle nesting behavior is essential for recovery planning and evaluating management actions. Traditional monitoring approaches, based on nest counts from beach surveys, can misclassify non-nesting emergences, obscure true fecundity, and underestimate clutch frequency, metrics that directly influence population models and regulatory decisions. Here, we demonstrate that...
Authors
Kristen Hart, Connor F. White, Donna J. Shaver, Margaret Lamont, Michael Cherkiss, Andrew G. Crowder, Nicholas M. Whitney
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