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Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Upper Peninsula, U.S. (ver. 2.0, January 2024) 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... Categories: Data Release - Revised; Types: GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Chippewa, Great Lakes, Holocene, Lake Huron, Lake Michigan, All tags... Mackinac, Michigan, USGS Science Data Catalog (SDC), environment, geoscientificInformation, habitat suitability indices, hydrology, inlandWaters, lake, lakeshore, natural resource management, remediation, resource management, river, stream, water quality, wetland, wetland ecosystems, wetland functions, wetland restoration, Fewer tags Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Upper Peninsula, U.S.: Degree Flowlines 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... Types: GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Chippewa, Ecology, Great Lakes, Holocene, Hydrology, All tags... Lake Huron, Lake Michigan, Land Use Change, Mackinac, Michigan, USGS Science Data Catalog (SDC), Water Resources, environment, geoscientificInformation, habitat suitability indices, hydrology, inlandWaters, lake, lakeshore, natural resource management, remediation, resource management, river, stream, water quality, wetland, wetland ecosystems, wetland functions, wetland restoration, Fewer tags Turning Uncertainty into Useful Information for Conservation Decisions We routinely encounter uncertainty when we make decisions – from picking a new morning coffee to choosing where to live. Even decisions that are supported by science contain some level of remaining uncertainty. In the context of conservation and wildlife management, the potential for uncertainty to influence decisions is perhaps most obvious when we think about predicting how actions (or non-actions) will have lasting impacts into the future. Our abilities to precisely predict future climatic and ecological conditions and determine the exact consequences of our actions are, and will remain, limited. Conservation practitioners and land and wildlife managers must navigate these challenges to make science-informed... Categories: Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2012, CASC, Climate Change, Completed, Data Visualization & Tools, All tags... Data Visualization & Tools, FY 2012, Projects by Region, Science Tools For Managers, Science Tools for Managers, Science Tools for Managers, Southeast, Southeast CASC, Southeast Climate Science Center, State of the Science, State of the Science, States, U.S. States, United States, boundaries, demographics, farm information, households, population, resource management, society, uncertainty, Fewer tags