Ecological Stressors
Ecological Stressors
USGS WARC scientists study environmental and anthropogenic (human-caused) stressors, such as hurricanes and climate change, that potentially impact the health and productivity of lands and waters of management concern.
Filter Total Items: 103
Salinity Intrusion Impacts from Hurricane Sandy in Tidal Freshwater Swamps, Delmarva Peninsula, Mid-Atlantic Coast, USA
When it comes to hurricanes, wind and storm surge effect vegetation differently. USGS anlyzes these differences following Hurricane Sandy to help inform management on storm mitigation and long-term planning.
Structural Equation Modeling in Support of Conservation
Understanding systems sometimes requires approaches that allow for both the discovery of the a system's structure and the estimation of its implications. Structural Equation Modeling - SEM - is one tool scientists use to better understand the complex world in which we live.
Louisiana’s Coastwide Reference Monitoring System (CRMS)
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.
Plant Community Dynamics in a Mangrove-to-Marsh Transition Zone
Mangroves will compete with salt marsh plants in transitional areas, and recent studies have documented the expansion of mangroves into marsh habitats. To better understand the plant community dynamics in this transition zone, USGS scientists are tracking vegeation changes over time in south Florida.
Influence of Sea-Level Rise on Wetland Vegetation Community Structure, Primary Productivity, Organic Matter Decomposition and Carbon Storage
This study will employ a space for time substitution to show long-term effects of rising sea-level and increasing salinity on vegetation community structure, primary production and decomposition. Productivity and decomposition rates will be estimated for four wetland plant community types defined by salinity zones and dominant plant species.
Forecasting Biological Vulnerabilities: Modeling Jamaica Bay Wetland Morphology under Future Hurricanes
In light of the increase in hurricane frequency and intensity, there is concern about the resilience and sustainability of coastal wetlands. Models can be used to investigatethe impacts of future hurricanes on wetland morphology along the northeast coasts in areas like Jamaica Bay, New York, an area impacted by Hurricane Sandy.
Surface Elevation Vulnerability of Coastal Forested Wetlands to Sea-Level Rise
Wetlands vary in their abilities to keep up with sea-level rise; they either adjust vertically and/or move inland. USGS is working with partners around the world to measure rates of surface elevation change relative to local sea-level rise.
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.
Mechanisms of Coastal Marsh Elevation Regulation
Sediment deposition serves an important role in the long-term maintenance of coastal marshes. USGS investigates the mechanisms of coastal marsh elevation regulation to help predict marsh sediment requirements under various sea level rise scenarios.
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.
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.