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Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > Northeast CASC > FY 2012 Projects ( Show direct descendants )

Location Folder Show Tree ROOT _ScienceBase Catalog __National and Regional Climate Adaptation Science Centers ___Northeast CASC ____FY 2012 Projects Bringing People, Data, and Models Together – Addressing Impacts of Climate Change on Stream Temperature Developing a Comprehensive Terrestrial Habitat Map for the Northeastern U.S. and Atlantic Canada to Inform Planning Decisions Evaluating Sea-level Rise Impacts in the Northeastern U.S. Making Terrestrial and Wetland Habitat Maps Useful for Adaptation Planning NorEaST: A Tool to Understand the Responses of Fish to Changes in Stream Temperature More... Filters Date Range Past year (1) Past month (0) Past week (0) Past day (0) Custom range... To   Search Types Citation (1) Contacts E. Robert Thieler Sawyer Stippa Upper Midwest and Great Lakes Landscape Conservation Cooperative Betsy L Bodamer Scarbro Great Lakes Science Center More... Tag Types Place (3) Theme (3) LCC End User Type (1) Water, Coasts and Ice (2) Harvest Set (1) Label (2) Science Themes (2) More... Tag Schemes None (2) ISO 19115 Topic Category (3) https://www.sciencebase.gov/vocab/vocabulary/54760ef9e4b0f62cb5dc41a0 (1) GLSC Science Theme (1) https://www.sciencebase.gov/vocab/category/NCCWSC/WaterCoastsandIce (2) Getty Thesaurus of Geographic Names (1) https://www.sciencebase.gov/vocab/category/NCCWSC/Project/OrganizationName (2) More... View Results as: JSON ATOM CSV Browse Folder

Probability of Predicted Elevation with respect to projected sea levels for the Northeastern U.S. from Maine to Virginia for the 2020s, 2030s, 2050s and 2080s (Albers, NAD 83) The U.S. Geological Survey has been forecasting sea-level rise impacts on the landscape to evaluate where coastal land will be available for future use. The purpose of this project is to develop a spatially explicit, probabilistic model of coastal response for the Northeastern U.S. to a variety of sea-level scenarios that take into account the variable nature of the coast and provides outputs at spatial and temporal scales suitable for decision support. Model results provide predictions of adjusted land elevation ranges (AE) with respect to forecast sea-levels, a likelihood estimate of this outcome (PAE), and a probability of coastal response (CR) characterized as either static or dynamic. The predictions span the... Categories: Data; Tags: Atlantic City, Atlantic Ocean, Bayesian network, Boston, CMGP, All tags... Chesapeake Bay, Coastal and Marine Geology Program, Connecticut, Delaware, Esri binary grid, Gridded Raster Dataset, Jersey Shore, Long Island, Maine, Maryland, Massachusetts, New England, New Hampshire, New Jersey, New York, Norfolk, North America, Northeast CASC, Ocean City, Sea-Level Rise and Coasts, U.S. Geological Survey, USGS, United States, Virginia, WHCMSC, Water, Coasts and Ice, Wetlands, Woods Hole Coastal and Marine Science Center, biota, elevation, environment, geoscientificInformation, imageryBaseMapsEarthCover, landscape change, oceans, probabilistic predictions, sea-level rise, Fewer tags A comparison of aquatic trophic interactions (fish, benthic macroinvertebrates, and zooplankton) between the Lake Erie Central Basin and the Lake Erie Eastern Basin, 2011-2013 Lake Erie Biological Station (LEBS), located in Sandusky, Ohio, is a field station of the USGS Great Lakes Science Center (GLSC). LEBS is the primary federal agency for applied fisheries science excellence in Lake Erie. From 2011-2013, LEBS carried out a project which addressed the effects of regional climate change on aquatic food webs in the Great Lakes. This study focused on Lake Erie, as it is a representative system with a high level of anthropogenic impacts, strong nutrient gradients, seasonal hypoxia, and spatial overlap of cold- and cool-water fish guilds. In Lake Erie and in large embayments throughout the Great Lakes basin, this situation is a concern for fishery managers, as climate change may exacerbate... Categories: Data; Types: Citation; Tags: Academics & scientific researchers, Climate Change, Climate Change, Conservation NGOs, Data Acquisition and Development, All tags... Datasets/Database, EARTH SCIENCE > LAND SURFACE > LANDSCAPE, Erie, Lake, Erie, Lake, Federal resource managers, Fish Community, Fish Community, LCC Network Science Catalog, Lake Erie, Lake Erie, Ohio, Ohio, Pennsylvania, Pennsylvania, State agencies, Tribes, Trophic Interactions, Trophic Interactions, USGS Science Data Catalog (SDC), completed, data.gov Upper Midwest & Great Lakes LCC, environment, nonGeographicDataset, Fewer tags Predicted Elevation predicted elevation with respect to projected sea levels for the Northeastern U.S. from Maine to Virginia for the 2020s, 2030s, 2050s and 2080s (Albers, NAD 83) The U.S. Geological Survey has been forecasting sea-level rise impacts on the landscape to evaluate where coastal land will be available for future use. The purpose of this project is to develop a spatially explicit, probabilistic model of coastal response for the Northeastern U.S. to a variety of sea-level scenarios that take into account the variable nature of the coast and provides outputs at spatial and temporal scales suitable for decision support. Model results provide predictions of adjusted land elevation ranges (AE) with respect to forecast sea-levels, a likelihood estimate of this outcome (PAE), and a probability of coastal response (CR) characterized as either static or dynamic. The predictions span the... Categories: Data; Tags: Atlantic City, Atlantic Ocean, Bayesian network, Boston, CMGP, All tags... Chesapeake Bay, Coastal and Marine Geology Program, Connecticut, Delaware, Esri binary grid, Gridded Raster Dataset, Jersey Shore, Long Island, Maine, Maryland, Massachusetts, New England, New Hampshire, New Jersey, New York, Norfolk, North America, Northeast CASC, Ocean City, Sea-Level Rise and Coasts, U.S. Geological Survey, USGS, United States, Virginia, WHCMSC, Water, Coasts and Ice, Wetlands, Woods Hole Coastal and Marine Science Center, biota, elevation, environment, geoscientificInformation, imageryBaseMapsEarthCover, landscape change, oceans, probabilistic predictions, sea-level rise, Fewer tags