Jaenicke, Margaret E. Hopkins, Anders L. Kowalski, Kurt P. Bozimowski, Alexandra (Sasha) A. Sanocki, Chris A. 2024 vector digital data Reston, VA U.S. Geological Survey Jaenicke, M.E., Hopkins, A.L., Kowalski, K.P., Bozimowski, A.A., and Sanocki, C.A., 2024, Saginaw Bay Restoration Assessment: Degree Flowlines (version 2.0): U.S. Geological Survey data release, https://doi.org/10.5066/P92W7VZ8. https://doi.org/10.5066/P92W7VZ8 U.S. Geological Survey 2016 vector and raster digital data Reston, VA U.S. Geological Survey https://doi.org/10.5066/P9UAA4HY The Degree Flowlines dataset represents the flowline network in the Saginaw Bay Restoration Assessment (SBRA). It is attributed with the number of disconnections (e.g., road crossings) between the reach and Lake Huron. These data help identify the condition of hydrologic separation between potential restoration areas and Lake Huron. Low numbers represent fewer disconnections, such as culverts, between the reach and the water body requiring no flow network modification to restore the area. See full data release documentation and https://glcwra.wim.usgs.gov/ for further explanation on the methods. The purpose of the Degree Flowlines dataset is to quantify the degrees of hydraulic separation between each reach (stream) from Lake Huron. The higher the degree of separation, the less connected the river/stream is to the hydroperiod of the lake. The purpose for releasing version 2.0 of these datasets is that they were created with more recent and more accurate input data. For changes between versions 1.0 and 2.0, please see the Release History text file. 2024 publication date Complete None planned -84.2064 -82.5365 44.5393 43.1148 ISO 19115 Topic Category environment geoscientificInformation inlandWaters Marine Realms Information Bank (MRIB) keywords lake lakeshore wetland wetland restoration stream river hydrology resource management USGS Thesaurus hydrology natural resource management water quality remediation wetland ecosystems Holocene Common geographic areas Great Lakes Lake Huron Saginaw Michigan None. Please see 'Distribution Info' for details. None. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations. Kurt P Kowalski U.S. Geological Survey, MIDCONTINENT REGION Research Ecologist mailing address

1451 Green Rd

Ann Arbor MI 48105 US 734-214-9308 734-994-8780 kkowalski@usgs.gov The GLCWRA was produced with funding provided by the Great Lakes Restoration Initiative (GLRI) and in collaboration with the New College of Florida. Digital datasets obtained from public repositories and datasets including the National Hydrography Dataset (NHD), National Wetland Index (NWI), 3D Elevation Program (3DEP), U.S. Census Bureau, National Geospatial Program, U.S. Fish and Wildlife Service, National Oceanic and Atmospheric Association (NOAA), Protected Areas Database of the U.S. (PAD-US), National Land Cover Database (NLDC), Gridded Soil Survey Geographic Database (gSSURGO), Coastal Change Analysis Program (C-CAP). U.S. Geological Survey 2016 application/service Geonarrative map website for GLCWRA study https://glcwra.wim.usgs.gov/ The attribute values of this dataset were inspected and confirmed to be within the proper range of values. The attribute values were reviewed, and spatial data was visually inspected to verify the that the data values and their locations accurately describe the purpose of the data. This dataset is considered complete for the information presented, as described in the abstract. This dataset provides coverage for the entire Saginaw Bay Restoration Assessment study area. Approximately 20% of the spatial data was visually inspected to verify the positional accuracy of its features. The review consisted of comparing the spatial data to its input datasets and to underlying GIS basemaps. While this data has been reviewed, the spatial data is only as spatially accurate as the input data sources. This dataset does not have a vertical component, so testing for vertical accuracy was not necessary. ESRI 20210405 remote-sensing image https://services.arcgisonline.com/ArcGIS/rest/services/World_Imagery/MapServer Digital 20210405 publication date ESRI World Imagery Satellite imagery from ESRI was used to select functioning wetlands from the NWI dataset. Google Maps 2023 remote-sensing image https://www.google.com/maps/@41.7410276,-82.990953,134833m/data=!3m1!1e3?entry=ttu Digital 2023 publication date Google Satellite Imagery Satellite imagery from Google Maps was used to select functioning wetlands from the NWI dataset. These dataset were used during the month of October 2023. U. S. Geological Survey 20200819 vector digital data Hydrological Units (HU) used: 0407, 0408. https://www.usgs.gov/national-hydrography/national-hydrography-dataset 24000 Digital 20160630 observed NHD Flowlines Identified the location of streams and rivers within the study area. To start, the NHD flowlines within the study area were found. From all the HUCs listed below, the NHDFlowlines feature classes were imported in ArcGIS Pro 3.0.3, projected to NAD 1983 UTM Zone 17N, clipped to the study area and merged together. ArcGIS Pro's "Unsplit Lines" tool was used to dissolve together line segments with common endpoints. A visual inspection was done to make sure that all selected flowlines represent streams which flow into Lake Huron. These selected flowlines were exported to a new feature class. 20230917 Next, with ArcGIS Pro's Split Line at Point tool, the flowlines feature class from the previous step were split with the point features from the Culverts layer. In this last step, the degree of separation from the Lake Huron was identified for each flowline segment. In the flowline feature class from the previous step, a new column called 'Degree' was added to the attribute table. Then for each flowline segment, the degree of separation was manually counted and entered into the 'Degree' column of the attribute table. Flowline segments with direct connection to Lake Huron received a value of '0'. Then for each segment upstream, the degree value increased by 1. After all flowline segments were assigned the proper degree of separation, the feature class was exported as a new shapefile in NAD 1983 UTM Zone 17N. 20231020 Vector String 2556 Universal Transverse Mercator 17 0.9996 -81.0 0.0 500000.0 0.0 coordinate pair 0.6096 0.6096 meters North_American_Datum_1983 GRS 1980 6378137.0 298.257222101 SBRA_DegreeFlowlines.shp A vector dataset (in shapefile format) illustrating the National Hydrography Dataset flowlines in the SBRA study area and their degree of connectedness to Lake Huron. Producer Defined FID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Shape type. degreeFlow This value represents the number of hydrologic disconnections between the flowline and its outlet. '0' means that the stream is directly connected to the lake, and the integer value indicated the number of culverts the stream passed through before reaching the lake. Producer Defined 0 17 SBRA_DegreeFlowlines.zip contains a polyline shapefile (SBRA_DegreeFlowlines.shp) and associated metadata (SBRA_DegreeFlowlines.shp.xml) NA GS ScienceBase U.S. Geological Survey mailing address

Denver Federal Center, Building 810, Mail Stop 302

Denver CO 80225 United States 1-888-275-8747 sciencebase@usgs.gov Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. Digital Data https://doi.org/10.5066/P92W7VZ8 None 20240515 Kurt P Kowalski U.S. Geological Survey, MIDCONTINENT REGION Research Ecologist mailing address

1451 Green Rd

Ann Arbor MI 48105 US 734-214-9308 734-994-8780 kkowalski@usgs.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998