GL_LAKE_ERIE_2022 ESI BENTHIC Polygons

Description

This feature class resides within the BIOLOGY Feature Data Set of the Lake Erie - 2022 ESI Geodatabase. It contains vector polygons representing BENTHIC data for Lake Erie. The study area includes the United States portion of Lake Erie, covering the coastal portions of Ohio, Pennsylvania, and New York from the Michigan/Ohio border to the west to the New York/Canada border to the east. This data set contains sensitive biological resource data for submerged aquatic vegetation (SAV). Vector polygons in this dataset represent SAV distribution. Species-specific abundance, seasonality, status, life history, and source information are stored in associated data tables (described in Entity Attribute Overview below) designed to be used in conjunction with this spatial data layer. This data set comprises a portion of the ESI data for Lake Erie. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Resources

Name Format Description Link
0 This feature class is part of the downloadable Esri Arc Geodatabase. https://response.restoration.noaa.gov/esi_download
0 View the complete metadata record on InPort for more information about this dataset. https://www.fisheries.noaa.gov/inport/item/67674
0 Guidelines for developing ESI data content and overview of ESI data structure. Useful for data collectors and users requiring more in depth information on the ESI process. https://response.restoration.noaa.gov/esi_guidelines
0 Overview of ESI data content and uses. https://response.restoration.noaa.gov/esi
0 The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords. https://www.earthdata.nasa.gov/learn/find-data/idn/gcmd-keywords
33 NOAA Data Management Plan for this record on InPort. https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/orr/dmp/pdf/67674.pdf

Tags

  • shorelines
  • human dimensions
  • united states of america
  • land surface
  • benthic
  • national ocean service
  • ecosystems
  • biosphere
  • oceans
  • environmental monitoring
  • continent
  • doc/noaa/nos/orr
  • noaa
  • oil spill planning
  • marine ecosystems
  • oil spills
  • north america
  • new york
  • u.s. department of commerce
  • earth science
  • esi
  • environmental impacts
  • pennsylvania
  • aquatic ecosystems
  • coastal zone management
  • coastal resources
  • geomorphic landforms/processes
  • wetlands
  • great lakes - lake erie esi
  • coastal landforms
  • lake erie
  • coastal processes
  • ohio
  • environmental sensitivity index
  • 2022
  • great lakes
  • office of response and restoration
  • sensitivity maps

Topics

Categories