USGS WARC scientists coordinate rescue of cold-stunned sea turtles
Amphibians have one more thing to worry about - mercury - large USGS study shows
WARC scientists co-author recent publication assessing the presence of methylmercury in adult amphibians in the U.S.
WARC scientists co-author recent publication assessing the presence of methylmercury in adult amphibians in the U.S.
USGS Scientists Explore Mesophotic and Deep Benthic Communities in the Gulf of Mexico
New Map Demonstrates Hurricane Ian’s Potential Spread of Non-native Aquatic Species
USGS has released the final Flood and Storm Tracker (FaST) map for Hurricane Ian.
USGS has released the final Flood and Storm Tracker (FaST) map for Hurricane Ian.
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.
Science for Detection, Containment, and Control of Invasive Species
Science for Detection, Containment, and Control of Invasive Species
USGS scientists focus on the development of innovative prevention, prediction, early detection, containment, and control tools.
WARC Quick Links
WARC Quick Links
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News
A new strategy to help unleash USGS eDNA capabilities
A new strategy to help unleash USGS eDNA capabilities
Teenage citizen-scientist helps USGS confirm unique population of threatened turtle
Teenage citizen-scientist helps USGS confirm unique population of threatened turtle
New USGS-led Research Sheds Light on Deep-Sea Food Webs
New USGS-led Research Sheds Light on Deep-Sea Food Webs
Publications
Projected sea-level rise and high tide flooding at Timucuan Ecological and Historic Preserve, Florida
IntroductionNational parks and preserves in the South Atlantic-Gulf Region contain valuable coastal habitats such as tidal wetlands and mangrove forests, as well as irreplaceable historic buildings and archeological sites located in low-lying areas. These natural and cultural resources are vulnerable to accelerated sea-level rise and escalating high tide flooding events. Through a Natural Resource
Realizing the potential of eDNA biodiversity monitoring tools in the marine environment with application to offshore renewable energy
The U.S. Geological Survey (USGS) researches the biological diversity and distribution of species to support management, conservation, and resource use decisions. USGS scientists advance detection and monitoring technologies to assess changes in fish and wildlife populations, biodiversity, and the health of ecosystems. The United States is planning to install 30 gigawatts of offshore marine and wi
Best practices for genetic and genomic data archiving
Genetic and genomic data are collected for a vast array of scientific and applied purposes. Despite mandates for public archiving, data are typically used only by the generating authors. The reuse of genetic and genomic datasets remains uncommon because it is difficult, if not impossible, due to non-standard archiving practices and lack of contextual metadata. But as the new field of macrogenetics
Science
Identifying and Projecting Water Quality Outcomes of Canal Backfilling Restoration at Jean Lafitte National Historical Park and Preserve
USGS researchers and their partners will develop a coupled hydrodynamic and water quality modeling system; calibrate and validate the models; assess and predict outcomes of a canal backfilling restoration project on key water quality attributes; and run the modeling system under a suite of climate change scenarios.
Lower Trophic Level Monitoring to Support Restoration of Living Resources in Barataria Estuary, Louisiana
USGS researchers are collecting information about lower trophic levels in Barataria Estuary to develop a long-term monitoring plan.
Adding an Aquatic Prey Fish Module within the Everglades Vulnerability Analysis Modeling Framework
The USGS Joint Ecosystem Modeling team will use Bayesian networks to build a spatially explicit Everglades Vulnerability Analysis module based on current knowledge and existing data on fish density and biomass trends on the landscape.