WARC SSP Goal 3
WARC SSP Goal 3
Filter Total Items: 103
Genetic Analysis of the Invasive Burmese Python to Aid Management and Population-Control Decision-Making
Invasive Burmese pythons threaten the success of Everglades restoration efforts. To assist with management and population control decision making, USGS scientists are implementing genetic studies to identify potential new entry pathways and to help quantify the size of the breeding population.
Genetic Analysis of Wild and Captive Black Carp in the Mississippi River Basin
Black carp have likely been present in the Mississippi River since the 1990s, but their current distribution and spread is not well understood. Genetics is helping to shed light on this species, including its diversity, the relatedness of wild and captive fish, and its introduction history.
Population Biology and Ecology of Diamondback Terrapins in Mangrove Forested Ecosystems in the Greater Everglades
Long-term capture-recapture research in the Everglades National Park provides baseline information on the Diamondback Terrapin, a species that may be threatened by human disturbances.
Benthic Habitat Characterization and Habitat Use of Endangered Sea Turtles in Marine Protected Areas of the Greater Everglades
USGS assesses how federally endangered sea turtles use the habitat in and around a no-take area in the Dry Tortugas National Park.
Evaluation of Tegu Movements and Habitat Use in Relation to Location and Habitat
Tegus are breeding, they have a diverse diet, and they are established in areas throughout South Florida. USGS is tracking this problematic reptile species to better understand their movements and habitat use to help managers prevent dispersal into new areas.
Hierarchical Models for Computing Inferences About Species Assemblages Subject to Imperfect Detection
USGS is developing strategies to model species assemblages to allow inferences to be made about individual species, local communities of species, or for an entire metacommunity of species - while accounting for errors in species detection during sampling.
Connectivity of Tropical Marine Ecosystems: Understanding Biodiversity and Trophic Relationships in the Virgin Islands and Puerto Rico
Marine reserves and protected areas in the U.S. Virgin Islands and Puerto Rico encompass a variety of tropical ecosystems, including coral reefs, mangroves, and seagrass beds, but questions remain regarding how effective these areas are at preserving and protecting the habitats and species they encompass. USGS and collaborators address this question by examining the biodiversity and food web...
Assessing the Past and Potential Future Impacts of Salt Water Intrusion on Tidal Swamp Habitat along the South Atlantic Coast
Using historical aerial photogrammetry, satellite imagery, or recent vegetation mapping efforts, as well as various models, USGS investigates salt water intrusion impacts on coastal habitats along the southern Atlantic coast.
Green-Tree Reservoir management practices within the U.S. Fish and Wildlife Service National Wildlife Refuge System
Green-Tree Reservoirs are used as a management tool by National Wildlife Refuges throughout the Southeast United States, but data suggests that forest productivity has declined in these areas. USGS investigates the effects of climate and flooding on tree growth and mortality to assist refuge managers adapt management strategies.
An Inventory and Comparative Study of Bees, A Keystone Ecological Group in the Endangered Coastal Prairie of Louisiana
Much of Louisiana's coastal prairie has been converted to rice and sugarcane cultivation. USGS is inventorying bee populations in these areas to explore how effective restoration efforts have been.
Long-Term Carbon Burial in Marshes of the Mississippi River Delta
Wetlands along the Gulf of Mexico coast play an important role in the global carbon cycle, but as they rapidly convert to open water, their potential for carbon storage is declining. USGS is working to provide accurate, long-term marsh soil carbon sequestration rates.
Classifying Coastal Wetland Vegetation Communities with Unsupervised Artificial Neural Networks
Wetlands are often classified by their vegetation, which can help scientists track how these landscapes change over time. USGS turns to unsupervised artificial neural networks to help guide this classification process.