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This dataset contains vertical profiles of soil bulk density, percent organic matter, percent total carbon and cesium-137 activity from the surface down to 50-60 cm deep at 25 marsh locations across Breton Sound basin, Louisiana. These data will provide information related to rates of vertical accretion, organic and mineral accumulation and carbon burial in wetland soils across a large portion of the Mississippi River delta plain.
These data were used to quantify land area change in a wetlands possible zone of coastal wetlands during a 1985-2020 observation period. The datasets presented in this data release represent annual median estimates of the fractional amount of land, floating aquatic vegetation, submerged aquatic vegetation, and water per Landsat pixel. These data are intended for coarse-scale analysis of wetland change area. The datasets are summarized by 10-digit Hydrologic Unit Code (HUC10), and land area change through time is fit using a penalized regression smooth spline. The trends are therefore generalized in time and are intended to present coarse scale observations of trends in wetland area change.
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Coastal wetlands store more carbon than most ecosystems globally. However, little is known about the mechanisms that control the loss of organic matter in coastal wetlands at the landscape scale, and how sea-level rise will impact this important ecological function.
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The Barrier Island Comprehensive Monitoring (BICM) program was developed by Louisiana’s Coastal Protection and Restoration Authority (CPRA) and is implemented as a component of the System Wide Assessment and Monitoring (SWAMP) program. The program uses both historical data and contemporary data collections to assess and monitor changes in the aerial and subaqueous extent of islands, habitat types, sediment texture and geotechnical properties, environmental processes, and vegetation composition. Examples of BICM datasets include still and video aerial photography for documenting shoreline changes, shoreline positions, habitat mapping, land change analyses, light detection and ranging (lidar) surveys for topographic...
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This dataset contains the result of simulated daily emissions of methane (CH4) and nitrous oxide (N2O) from the soils in Tidal Freshwater Forested Wetlands (TFFW) along the Waccamaw River (SC, USA) and the Savannah River (GA and SC, USA) under drought-induced saltwater intrusion using a process-driven biogeochemistry model.
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This dataset consists of one data file (Carman_Et_al_Tunicate_2017_survey_on_eelgrass_quad_data_final) and one definitions file (Carman_Et_al_Tunicate_2017_survey_on_eelgrass_quad_data_final_definitions). The data file consists of species and abundance of tunicates found growing on eelgrass (Zostera marina L.) in a survey of 33 northwest Atlantic eelgrass meadows in summer 2017. Eelgrass meadows represented in the dataset range from New Jersey to Newfoundland. Within each meadow, data were collected within individual quadrats (ranging from 0.0625 to 0.25 square meter) along transects or as general site surveys. Data include geographic coordinates for the center of each site surveyed; date surveyed; tunicate species...
Categories: Data; Tags: Aquatic Biology, Aquatic Vegetation, Barnegat Bay, Ocean County, NJ, USA, Boston Harbor, Suffolk County, MA, USA, Botany, All tags...
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The Barrier Island Comprehensive Monitoring (BICM) program was developed by Louisiana’s Coastal Protection and Restoration Authority (CPRA) and is implemented as a component of the System Wide Assessment and Monitoring Program (SWAMP). The program uses both historical data and contemporary data collections to assess and monitor changes in the aerial and subaqueous extent of islands, habitat types, sediment texture and geotechnical properties, environmental processes, and vegetation composition. Examples of BICM datasets include still and video aerial photography for documenting shoreline changes, shoreline positions, habitat mapping, land change analyses, light detection and ranging (lidar) surveys for topographic...
Prior research has shown that sediment budgets, and therefore stability, of microtidal marsh complexes scale with areal unvegetated to vegetated marsh ratios (UVVR) suggesting these metrics are broadly applicable indicators of microtidal marsh vulnerability. This effort has developed the UVVR metric using readily available satellite imagery for the coastal areas of the contiguous United States (CONUS). These datasets provide annual averages of 1) developed, 2) vegetated, 3) unvegetated ratios and 4) an unvegetated to vegetated ratio (UVVR) at 30-meter resolution over the coastal areas of the contiguous United States for the years 2014-2018. Additionally, multi-year average values of vegetated ratio, its standard...
These datasets were created from high-resolution (1-m) datasets representing median conditions during a 2014-2019 time period. These datasets used National Agricultural Inventory Program (NAIP) imagery, as well as Sentinel-2 satellite imagery, to estimate the fractional composition of unvegetated, vegetated, and water in each pixel. Random samples from these high resolution datasets were used to inform calibration and validation of the moderate resolution (30-m) Landsat datasets. To facilitate comparability with the Landsat datasets, these data were aggregated up to 30-m resolution.
These datasets were created from high-resolution (1-m) datasets representing median conditions during a 2014-2019 time period. These datasets used National Agricultural Inventory Program (NAIP) imagery, as well as Sentinel-2 satellite imagery, to estimate the fractional composition of unvegetated, vegetated, and water in each pixel. Random samples from these high resolution datasets were used to inform calibration and validation of the moderate resolution (30-m) Landsat datasets. To facilitate comparability with the Landsat datasets, these data were aggregated up to 30-m resolution.
These data were used to quantify land area change in a wetlands possible zone of coastal wetlands during a 1985-2020 observation period. The datasets presented in this data release represent annual median estimates of the fractional amount of land, floating aquatic vegetation, submerged aquatic vegetation, and water per Landsat pixel. These data are intended for coarse-scale analysis of wetland change area. The datasets are summarized by 10-digit Hydrologic Unit Code (HUC10), and land area change through time is fit using a penalized regression smooth spline. The trends are therefore generalized in time and are intended to present coarse scale observations of trends in wetland area change.
These data were used to quantify land area change in a wetlands possible zone of coastal wetlands during a 1985-2020 observation period. The datasets presented in this data release represent annual median estimates of the fractional amount of land, floating aquatic vegetation, submerged aquatic vegetation, and water per Landsat pixel. These data are intended for coarse-scale analysis of wetland change area. The datasets are summarized by 10-digit Hydrologic Unit Code (HUC10), and land area change through time is fit using a penalized regression smooth spline. The trends are therefore generalized in time and are intended to present coarse scale observations of trends in wetland area change.
These data were used to quantify land area change in a wetlands possible zone of coastal wetlands during a 1985-2020 observation period. The datasets presented in this data release represent annual median estimates of the fractional amount of land, floating aquatic vegetation, submerged aquatic vegetation, and water per Landsat pixel. These data are intended for coarse-scale analysis of wetland change area. The datasets are summarized by 10-digit Hydrologic Unit Code (HUC10), and land area change through time is fit using a penalized regression smooth spline. The trends are therefore generalized in time and are intended to present coarse scale observations of trends in wetland area change.
These data were used to quantify land area change in a wetlands possible zone of coastal wetlands during a 1985-2020 observation period. The datasets presented in this data release represent annual median estimates of the fractional amount of land, floating aquatic vegetation, submerged aquatic vegetation, and water per Landsat pixel. These data are intended for coarse-scale analysis of wetland change area. The datasets are summarized by 10-digit Hydrologic Unit Code (HUC10), and land area change through time is fit using a penalized regression smooth spline. The trends are therefore generalized in time and are intended to present coarse scale observations of trends in wetland area change.
These data were used to quantify land area change in a wetlands possible zone of coastal wetlands during a 1985-2020 observation period. The datasets presented in this data release represent annual median estimates of the fractional amount of land, floating aquatic vegetation, submerged aquatic vegetation, and water per Landsat pixel. These data are intended for coarse-scale analysis of wetland change area. The datasets are summarized by 10-digit Hydrologic Unit Code (HUC10), and land area change through time is fit using a penalized regression smooth spline. The trends are therefore generalized in time and are intended to present coarse scale observations of trends in wetland area change.
These data were used to quantify land area change in a wetlands possible zone of coastal wetlands during a 1985-2020 observation period. The datasets presented in this data release represent annual median estimates of the fractional amount of land, floating aquatic vegetation, submerged aquatic vegetation, and water per Landsat pixel. These data are intended for coarse-scale analysis of wetland change area. The datasets are summarized by 10-digit Hydrologic Unit Code (HUC10), and land area change through time is fit using a penalized regression smooth spline. The trends are therefore generalized in time and are intended to present coarse scale observations of trends in wetland area change.
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Coastal wetlands store more carbon than most ecosystems globally. However, little is known about the mechanisms that control the loss of organic matter in coastal wetlands at the landscape scale, and how sea-level rise will impact this important ecological function.
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The Barrier Island Comprehensive Monitoring (BICM) program was developed by Louisiana’s Coastal Protection Restoration Authority (CPRA) and is implemented as a component of the System Wide Assessment and Monitoring (SWAMP) program. The program uses both historical data and contemporary data collections to assess and monitor changes in the aerial and subaqueous extent of islands, habitat types, sediment texture and geotechnical properties, environmental processes, and vegetation composition. Examples of BICM datasets include still and video aerial photography for documenting shoreline changes, shoreline positions, habitat mapping, land change analyses, light detection and ranging (lidar) surveys for topographic elevations,...
Tags: Acadiana Bays Region, Acadiana Bays Region, Cameron Parish, Chandeleur Islands Region, Chandeleur Islands Region, All tags...
Developing indicators of ecosystem condition is a priority in the Great Lakes, but little is known about appropriate spatial scales to characterize disturbance or response for most indicators. We surveyed birds, fish, amphibians, aquatic macroinvertebrates, wetland vegetation, and diatoms at 276 coastal wetland locations throughout the U.S. Great Lakes coastal region during 2002–2004. We assessed the responsiveness of 66 candidate indicators to human disturbance (agriculture, urban development, and point source contaminants) characterized at multiple spatial scales (100, 500, 1,000, and 5,000 m buffers and whole watersheds) using classification and regression tree analysis (CART). Nonstressor covariables (lake,...


map background search result map search result map Climate change and tidal wetland foundation species: mangroves, marches and salt flats Organic matter decomposition across a coastal wetland landscape in Louisiana, U.S.A. (2014-2015) Above and belowground decomposition Louisiana Barrier Island Comprehensive Monitoring Program – habitat mapping Louisiana Barrier Island Comprehensive Monitoring Program – 2016 habitat map, Early Lafourche Delta Region (ver. 1.1, May 2020) Louisiana Barrier Island Comprehensive Monitoring Program – 2008-2016 habitat change, Late Lafourche Delta Region Tunicate survey on eelgrass in 2017 northwest Atlantic coast New Jersey to Newfoundland An Unvegetated to Vegetated Ratio (UVVR) for coastal wetlands of the Atlantic Coast - 2017 A NAIP and Sentinel-2 based quantification of fractional composition of unvegetated, vegetated, and water in the Atlantic Coast, 2014-2019 used for calibration and validation of Landsat based datasets A NAIP and Sentinel-2 based quantification of fractional composition of unvegetated, vegetated, and water in the Pacific Coast, 2014-2019 used for calibration and validation of Landsat based datasets Soil properties and soil radioisotope activity across Breton Sound basin wetlands (2008-2013) L5_1986_GOM_Fractional_Land_FAV_SAV_Water L5_1988_GOM_Fractional_Land_FAV_SAV_Water L5_1994_GOM_Fractional_Land_FAV_SAV_Water L5_1998_GOM_Fractional_Land_FAV_SAV_Water L5_2009_GOM_Fractional_Land_FAV_SAV_Water L8_2015_GOM_Fractional_Land_FAV_SAV_Water L5_2006_GOM_Fractional_Land_FAV_SAV_Water Simulated Methane and Nitrous Oxide Emissions under Drought-induced Saltwater Intrusion in Tidal Freshwater Forested Wetlands Soil properties and soil radioisotope activity across Breton Sound basin wetlands (2008-2013) Louisiana Barrier Island Comprehensive Monitoring Program – 2008-2016 habitat change, Late Lafourche Delta Region Louisiana Barrier Island Comprehensive Monitoring Program – 2016 habitat map, Early Lafourche Delta Region (ver. 1.1, May 2020) Organic matter decomposition across a coastal wetland landscape in Louisiana, U.S.A. (2014-2015) Above and belowground decomposition Louisiana Barrier Island Comprehensive Monitoring Program – habitat mapping Simulated Methane and Nitrous Oxide Emissions under Drought-induced Saltwater Intrusion in Tidal Freshwater Forested Wetlands A NAIP and Sentinel-2 based quantification of fractional composition of unvegetated, vegetated, and water in the Pacific Coast, 2014-2019 used for calibration and validation of Landsat based datasets L5_1986_GOM_Fractional_Land_FAV_SAV_Water L5_1988_GOM_Fractional_Land_FAV_SAV_Water L5_1994_GOM_Fractional_Land_FAV_SAV_Water L5_1998_GOM_Fractional_Land_FAV_SAV_Water L5_2009_GOM_Fractional_Land_FAV_SAV_Water L8_2015_GOM_Fractional_Land_FAV_SAV_Water L5_2006_GOM_Fractional_Land_FAV_SAV_Water Tunicate survey on eelgrass in 2017 northwest Atlantic coast New Jersey to Newfoundland Climate change and tidal wetland foundation species: mangroves, marches and salt flats An Unvegetated to Vegetated Ratio (UVVR) for coastal wetlands of the Atlantic Coast - 2017 A NAIP and Sentinel-2 based quantification of fractional composition of unvegetated, vegetated, and water in the Atlantic Coast, 2014-2019 used for calibration and validation of Landsat based datasets