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Wetland Ecology

Filter Total Items: 32

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.
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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.
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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.
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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.
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Quantifying Changes in Wetland Area and Habitat Types in the Deepwater Horizon Louisiana Restoration Area 1985-Present with Remote Sensing

USGS researchers will quantify wetland change and wetland vegetation community type change through the analyses of aerial vegetation survey data and investigate potential relationships between Normalized Difference Vegetation Index (NDVI) and marsh elevation change.
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Quantifying Changes in Wetland Area and Habitat Types in the Deepwater Horizon Louisiana Restoration Area 1985-Present with Remote Sensing

USGS researchers will quantify wetland change and wetland vegetation community type change through the analyses of aerial vegetation survey data and investigate potential relationships between Normalized Difference Vegetation Index (NDVI) and marsh elevation change.
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Ecological Modeling to Support the Biscayne Bay and Southeastern Everglades Ecosystem Restoration (BBSEER) Project

The Biscayne Bay and Southeastern Everglades Ecosystem Restoration (BBSEER) project will use Bayesian networks developed within the Everglades Vulnerability Analysis framework but with an expanded set of predicted vegetation types to build a spatially explicit model predicting annual probability of vegetation types in response to hydrologic and other landscape factors.
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Ecological Modeling to Support the Biscayne Bay and Southeastern Everglades Ecosystem Restoration (BBSEER) Project

The Biscayne Bay and Southeastern Everglades Ecosystem Restoration (BBSEER) project will use Bayesian networks developed within the Everglades Vulnerability Analysis framework but with an expanded set of predicted vegetation types to build a spatially explicit model predicting annual probability of vegetation types in response to hydrologic and other landscape factors.
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Barriers and Opportunities for Landward Migration of Coastal Wetlands along Texas' Upper and Middle Coast

Researchers at WARC will use data and models to produce probabilistic maps of current and future wetland inundation, coastal wetland extent, and coastal and wetland trangression.
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Barriers and Opportunities for Landward Migration of Coastal Wetlands along Texas' Upper and Middle Coast

Researchers at WARC will use data and models to produce probabilistic maps of current and future wetland inundation, coastal wetland extent, and coastal and wetland trangression.
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Demographic Analysis of the Endangered Cape Sable Seaside Sparrow

USGS researchers will examine how hydrology and landscape vegetation changes impact Cape Sable Seaside Sparrow survival and population growth.
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Demographic Analysis of the Endangered Cape Sable Seaside Sparrow

USGS researchers will examine how hydrology and landscape vegetation changes impact Cape Sable Seaside Sparrow survival and population growth.
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Engaging Indigenous Communities to Co-Design a Real-time Monitoring Application to Protect Everglades Tree Islands

USGS will collaborate with the Miccosukee and Seminole Tribes to co-design a dashboard mock-up for a real-time web application that monitors tree island health in the Everglades.
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Engaging Indigenous Communities to Co-Design a Real-time Monitoring Application to Protect Everglades Tree Islands

USGS will collaborate with the Miccosukee and Seminole Tribes to co-design a dashboard mock-up for a real-time web application that monitors tree island health in the Everglades.
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Comparing EverForecast to the South Florida Water Management District’s Position Analysis

USGS will compare the EverForecast hydrologic forecast, the South Florida Water Management District's Position Analysis, and observed water level recordings from gages located across the Everglades landscape to examine which forecast performs better during the wet and dry seasons; wet, dry, or average years; or in different areas of the Everglades.
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Comparing EverForecast to the South Florida Water Management District’s Position Analysis

USGS will compare the EverForecast hydrologic forecast, the South Florida Water Management District's Position Analysis, and observed water level recordings from gages located across the Everglades landscape to examine which forecast performs better during the wet and dry seasons; wet, dry, or average years; or in different areas of the Everglades.
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Delivery of Strategically Placed Sediment through Tidal Creeks to Adjacent Coastal Wetlands

In the summer of 2021, instrumented platforms were deployed at Seven Mile Island Living Laboratory, New Jersey to conduct time series measurements of tidal velocity, turbidity, surface elevation, sediment concentration, and suspended sediment characteristics. The collected data will be used to provide decision support to the U.S. Army Corps of Engineers as they plan dredging activities in the Gulf...
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Delivery of Strategically Placed Sediment through Tidal Creeks to Adjacent Coastal Wetlands

In the summer of 2021, instrumented platforms were deployed at Seven Mile Island Living Laboratory, New Jersey to conduct time series measurements of tidal velocity, turbidity, surface elevation, sediment concentration, and suspended sediment characteristics. The collected data will be used to provide decision support to the U.S. Army Corps of Engineers as they plan dredging activities in the Gulf...
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USGS Coordinated Burmese Python Research Strategy for South Florida (FY21 – FY27)

Wetland and Aquatic Research Center and Fort Collins Science Center are coordinating a long-term, landscape-scale Burmese python research strategy for South Florida.
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USGS Coordinated Burmese Python Research Strategy for South Florida (FY21 – FY27)

Wetland and Aquatic Research Center and Fort Collins Science Center are coordinating a long-term, landscape-scale Burmese python research strategy for South Florida.
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Across Trophic Level System Simulation (ATLSS) Program for the Greater Everglades

Goals of the ATLSS Program are to help achieve a better understanding of components of the Everglades ecosystem, to provide an integrative tool for empirical studies, and to apply these tools to an adaptive management framework.
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Across Trophic Level System Simulation (ATLSS) Program for the Greater Everglades

Goals of the ATLSS Program are to help achieve a better understanding of components of the Everglades ecosystem, to provide an integrative tool for empirical studies, and to apply these tools to an adaptive management framework.
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Understanding Greater Everglades Mammal Communities within and adjacent to the Arthur R. Marshall Loxahatchee National Wildlife Refuge

WARC Researchers are using a variety of methods to assess mammal communities across the Greater Everglades.
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