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This dataset contains all the layers associated with U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative for the Upper Peninsula Restoration Assessment (UPRA) which aims to identify and rank coastal areas with the greatest potential for wetland habitat restoration. Each layer has a unique contribution to the identification of restorable wetlands. The 7 parameters (Parameter 0: Mask, Parameter 1: Hydroperiod, Parameter 2: Wetland Soils, Parameter 3: Flowlines, Parameter 4: Conservation and Recreation Lands, Parameter 5: Impervious Surfaces, and Parameter 6: Land Use) and Index Composite directly correlate to areas that are recommended for restoration. The dikes, degree...
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This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. These data represent the flowline network in the Green Bay Restoration Assessment (GBRA). It is attributed with the number of disconnections (e.g., road crossings) between the reach and Lake Ontario. The more road crossings on a flowline the more disconnected that area is from the lake and the less suitable it will be for restoration. These data help identify the condition of hydrologic separation between potential restoration areas and Lake Ontario. Low numbers represent fewer disconnections, such as culverts, between the reach and the water body requiring no flow network modification...
This paper develops a method for identifying and assessing long-term supply risks for mineral raw materials. The method is based on a combined evaluation of past and future supply and demand trends. By analysing raw material boom and bust cycles over the past 50 years, we have quantified indicators and defined benchmarks for identifying critical market situations. By applying the method, risks for supply shortage may be identified at an early stage. In addition, a numerical evaluation model has been developed for better comparison between various mineral raw materials. Compared to other assessment methods this method uses specific benchmarks for each raw material to better assess supply risks. The method is embedded...
Integrated basin management is concerned with the interactions of physical, ecological, economic, and social systems as they affect the operation, planning, and policy making processes inherent in the management of land and water resources. Systems of integrated hydrological, chemical, biological, ecological, and socioeconomic models are typically used to assess the effects of proposed management alternatives on basin resources, or to manage basin resources in real time. Water is a common thread linking many of the components among these models. The ability to adequately simulate rainfall-runoff processes and their interactions with processes related to other system components significantly affects the integrated...
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NPScape conservation status metrics are calculated using data from the USGS Gap Analysis Program (PAD-US), World Database on Protected Areas (WDPA), and National Marine Protected Areas Center (MPA). Metric GIS datasets are produced seamlessly for the United States (Lower 48, Alaska, Hawaiian Islands, Guam/American Samoa, Puerto Rico/US Virgin Islands), Canada, and Mexico, although both geographic coverage and resolution vary by source dataset. The methods underlying these calculations are available for download through the NPScape website: http://science.nature.nps.gov/im/monitor/npscape/methods.cfm. This record provides default metadata for metric GIS data developed and distributed by NPScape. More information...
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This dataset contains all the layers associated with U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative for the Saginaw Bay Restoration Assessment (SBRA) which aims to identify and rank coastal areas with the greatest potential for wetland habitat restoration. Each layer has a unique contribution to the identification of restorable wetlands. The 7 parameters (Parameter 0: Mask, Parameter 1: Hydroperiod, Parameter 2: Wetland Soils, Parameter 3: Flowlines, Parameter 4: Conservation and Recreation Lands, Parameter 5: Impervious Surfaces, and Parameter 6: Land Use) and Index Composite directly correlate to areas that are recommended for restoration. The dikes, degree...
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This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. The degree flowlines dataset was created to indicate how many culverts each flowline passes through within the Lake Ontario Restoration Assessment (LORA) study area. The more road crossings on a flowline the more disconnected that area is from the lake and the less suitable it will be for restoration. The GLCWRA initiative identifies coastal wetland areas that have the greatest habitat restoration potential. The data model uses seven parameters to identify and rank wetland restoration areas, resulting in a composite index raster that can be used by ecological managers and planners to...
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This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. This data represents the location of dikes within the Lake Ontario Restoration Assessment (LORA) study area. The GLCWRA initiative identifies coastal wetland areas that have the greatest habitat restoration potential. The data model uses seven parameters to identify and rank wetland restoration areas, resulting in a composite index raster that can be used by ecological managers and planners to assist with the selection of wetland restoration sites. The parameters are Parameter 0: Mask, Parameter 1: Hydroperiod, Parameter 2: Wetland Soils, Parameter 3: Flowlines, Parameter 4: Conservation...
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NPScape land cover metrics are calculated using data from the National Land Cover Database (NLCD), NOAA Coastal Change Analysis Program (CCAP), and the North American Land Change Monitoring System (NALC). Metric GIS datasets are produced seamlessly for the United States (Lower 48, Alaska, Hawaiian Islands, Guam/American Samoa, Puerto Rico/US Virgin Islands), Canada, and Mexico, although both geographic coverage and resolution vary by source dataset. The methods underlying these calculations are available for download through the NPScape website: http://science.nature.nps.gov/im/monitor/npscape/methods.cfm. This record provides default metadata for metric GIS data developed and distributed by NPScape. More information...
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This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. These data represent the flowline network in the Upper Peninsula Restoration Assessment (UPRA). It is attributed with the number of disconnections (e.g., road crossings) between the reach and Lake Ontario. The more road crossings on a flowline the more disconnected that area is from the lake and the less suitable it will be for restoration. These data help identify the condition of hydrologic separation between potential restoration areas and Lake Ontario. Low numbers represent fewer disconnections, such as culverts, between the reach and the water body requiring no flow network modification...
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This dataset contains the physical collection information (e.g., sample location, date, gear type) and microsatellite DNA genotype of egg and larval Lake Sturgeon collected in the St. Clair and Detroit rivers in 2015 and 2016. Individuals were genotyped for 18 microsatellite loci (13 disomic and 5 polysomic). Alleles (base pair sizes) were recorded as presence absence scores (1:present, 2:absent, 0:missing data) for all previously observed alleles. Thus individual genotypes were recorded as pseudo diploid dominant phenotypes resulting in individual vectors of length n=205 for each genotyped egg or larval individual.
Categories: Data; Tags: Acipenser, Acipenser fulvescens, Acipenseridae, Anthropogenic, Anthropogenic Rock, All tags...
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This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. The GLCWRA initiative uses principles of geodesign to identify coastal wetland areas that have the greatest potential for habitat restoration. The data model uses the following seven primary parameters to identify and rank wetland restoration areas. The parameters are: Parameter 0: Water Parameter 1: Hydroperiod Parameter 2: Wetland Soils Parameter 3: Flowlines Parameter 4: Conservation and Recreation Lands Parameter 5: Impervious Surfaces Parameter 6: Land Use (represents developed areas without impervious surfaces but high societal value) The ancillary data include dikes, degree...
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This dataset represents the location of dikes within the Connecting River Systems Restoration Assessment (CRSRA) study area. For more information, see the full data release documentation and the GLCWRA webpage: https://glcwra.wim.usgs.gov/.
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The U.S. Geological Survey (USGS) created geospatial datasets of potential culvert locations along with flowlines connected to southwestern Lake Erie as part of the Western Lake Erie Restoration Assessment (WLERA). The Degree Flowlines and Culverts datasets represent the flowline network and culverts in the WLERA study area. Both datasets will be served in the Great Lakes Wetlands Restoration Area mapping application [https://glcwra.wim.usgs.gov/]. The map-based user interface can be used by stakeholders to find potential areas for successful wetlands restoration. Each flowline was assigned a connectivity score describing its level of connectedness to Lake Erie. Low numbers represent fewer disconnections, such as...
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Exotic plant survey polygon data representing infested or non-infested areas including inventory, treatment, and monitoring efforts. Polygons generated from point and line features using a buffer distance entered in the field or data was collected as a polygon for large or irregular sized patches. Data collected by field personnel using mapping grade GPS and a statewide data collection protocol. INSTRUCTIONS FOR USE: see supplemental section on how to use this GeoDatabase.
Tags: AKRO, ANIA, Alaska, Alaska Region NPS Regional Office, Alien / Noxious Plants, All tags...
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Problem Dissolved oxygen (DO) is an important indicator of water quality that until recently has been cost-prohibitive to monitor extensively in both space and time. Continuous water-quality data, particularly in coastal environments with bidirectional tidal flow, is necessary for resource managers to understand the dynamic changes in water quality that occur tidally, daily, seasonally, and during aperiodic events. In the estuaries surrounding Long Island, such events may include wastewater treatment plant failures, harmful algal blooms, and extreme weather. The U.S. Geological Survey (USGS) has extensive experience with continuous water-quality monitoring at fixed locations along the coast that provides valuable...
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The US Geological Survey (USGS) created the Dikes dataset as ancillary layer in the Western Lake Erie Restoration Assessment (WLERA) which covers the southwestern shore of Lake Erie. WLERA is a part of the USGS's Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative where coastal areas around the Great Lakes are identified and ranked for potential wetland restoration. The dikes dataset was created to identify human made and naturally occurring dikes or berms which have the potential to block the flow of water between Lake Erie and wetland habits. These potential dikes were outlined by selecting all the areas within the WLERA study area with a slope greater than 12 degrees (derived from the DEM created...
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The U.S. Geological Survey (USGS) created the Degree Flowlines and Culverts geospatial datasets representing potential culvert locations along with flowlines within the Connecting River Systems Restoration Assessment (CRSRA) study area. Both datasets will be served in the Great Lakes Wetlands Restoration Area mapping application [https://glcwra.wim.usgs.gov/]. The map-based user interface can be used by stakeholders to find potential areas for successful wetlands restoration. Each flowline was assigned a connectivity score describing its level of connectedness to the lake outlet. Low numbers represent fewer disconnections, such as culverts or road crossings, between the reach and the water body requiring no flow...
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Alaska Division of Geological & Geophysical Surveys (DGGS) has conducted 1:63,360-scale geologic mapping of the Sagavanirktok B-1 Quadrangle (640 square km�equivalent to four 7.5 minute quadrangles). This geologic map was produced by merging a bedrock geologic map and a surficial geologic map of the Eagle A-2 Quadrangle. This mapping project reinterprets micropaleontologic correlations for 17 Sagavanirktok Quadrangle wells, and reprocesses data from the one publicly-available seismic line. Surface geologic mapping, subsurface-to-surface stratigraphic age control, and seismic framework are required to reliably decipher the complex geology of this key area of the Brooks Range. Outcrops within the Sagavanirktok B-1...


map background search result map search result map NPS GNLCC Land cover data NPS GNLCC Conservation Status AKR Exotic Plant Management (EPMT) Geodatabase Continuous and Spatially Distributed Dissolved Oxygen Monitoring in Long Island Estuaries in Support of Coastal Resource Management. Geological map of the Sagavanirktok B-1 Quadrangle, eastern North Slope, Alaska Microsatellite genotypes for Lake Sturgeon (Acipenser fulvescens) Eggs and Larvae from Constructed Reefs in the St. Clair-Detroit River System (2015-2016) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S. Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S.: Dikes Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S.: Degree Flowlines Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Upper Peninsula, U.S. (ver. 2.0, January 2024) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Upper Peninsula, U.S.: Degree Flowlines Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Green Bay, U.S.: Degree Flowlines Connecting River Systems Restoration Assessment Degree Flowlines Connecting River Systems Restoration Assessment Dikes Saginaw Bay Restoration Assessment Composite Model Western Lake Erie Restoration Assessment Degree Flowlines Western Lake Erie Restoration Assessment Dikes Geological map of the Sagavanirktok B-1 Quadrangle, eastern North Slope, Alaska Continuous and Spatially Distributed Dissolved Oxygen Monitoring in Long Island Estuaries in Support of Coastal Resource Management. Microsatellite genotypes for Lake Sturgeon (Acipenser fulvescens) Eggs and Larvae from Constructed Reefs in the St. Clair-Detroit River System (2015-2016) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Upper Peninsula, U.S.: Degree Flowlines Connecting River Systems Restoration Assessment Dikes Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Upper Peninsula, U.S. (ver. 2.0, January 2024) Western Lake Erie Restoration Assessment Degree Flowlines Western Lake Erie Restoration Assessment Dikes Saginaw Bay Restoration Assessment Composite Model Connecting River Systems Restoration Assessment Degree Flowlines Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S.: Degree Flowlines Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S. Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S.: Dikes Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Green Bay, U.S.: Degree Flowlines NPS GNLCC Land cover data NPS GNLCC Conservation Status AKR Exotic Plant Management (EPMT) Geodatabase