Coastal
Coastal
Filter Total Items: 55
Integrated Modeling of Coastal Processes and Linkages to Management Applications
Coastal wetlands provide valuable ecosystem services such as wave attenuation, surge reduction, carbon sequestration, wastewater treatment, and critical habitats for endangered fish and wildlife species. However, wetland loss threatens the capacity of coastal wetlands to provide these ecosystem services.
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.
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.
Hydrodynamics and Sediment Transport in Deltas and Coastal Wetlands
Diversions are being used to encourage Missippi River delta growth via increased sediment availability to coastal wetlands. USGS studies hydrodynamics and sediment transport in Louisiana to better understand how marshes and deltas respond to these sediment inputs.
Monitoring Effects of Barrier Island Restoration on Piping Plovers in Louisiana
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.
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.
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.