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This dataset represents wetland soils that are suitable for wetland restoration. This dataset was created with methodology outlined at https://glcwra.wim.usgs.gov/. |
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This dataset represents wetland soils that are suitable for wetland restoration. This dataset was created with methodology outlined at https://glcwra.wim.usgs.gov/. |
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This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. This dataset represents soils within the Lake Ontario Restoration Assessment (LORA) study area that support wetland habitats. 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 and Recreation Lands, Parameter 5: Impervious Surfaces, and Parameter 6: Land Use (represents developed areas without impervious surfaces but high societal value). The ancillary data include dikes, degree flowlines, study area and culverts. These data layers are put through an ecological model, which results in a composite restoration index of ranked restoration areas. |
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None. Users should be aware of source data limitations and understand data processing procedures. |
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| title:
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Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S.: Parameter 2: Wetland Soils |
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["soil","wetland","wetland restoration","hydrology","resource management","water quality","lake","lakeshore","stream","river","wetland ecosystems","aquatic ecosystems","freshwater ecosystems","land use and land cover","surface water (non-marine)","USGS-EMA-LOW-MR Coastal Wetlands","hydrology","natural resource management","water quality","remediation","Great Lakes","Lake Ontario","New York"] |
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en-US |
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NaN |
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