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Short Citation:
Office of Response and Restoration, 2022: GL_StClair_Detroit_River 2019 ESI BENTHIC Polygons, https://www.fisheries.noaa.gov/inport/item/58442.

Item Identification

Title: GL_StClair_Detroit_River 2019 ESI BENTHIC Polygons
Status: Completed
Publication Date: 2019-09
Abstract:

This feature class resides within the BIOLOGY Feature Data Set of the Great Lakes - St. Clair / Detroit River System - 2019 ESI Geodatabase. It contains vector polygons representing BENTHIC data for the St. Clair / Detroit River System in southeastern Michigan.

The study area includes a small portion of southern Lake Huron at its outlet, the St. Clair River (which flows out of Lake Huron), Lake St. Clair, the Detroit River (which flows into Lake Erie), a small portion of western Lake Erie, and adjacent lands and waters. This data set contains sensitive biological resource data for submerged aquatic vegetation (SAV). Vector polygons in this data set represent SAV.

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 is a portion of the ESI data for the Great Lakes - St. Clair / Detroit River System.

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.

Purpose:

The ESI data are intended to provide baseline environmental data for oil spill planning and response. The Clean Water Act with amendments by the Oil Pollution Act of 1990 requires response plans for immediate and effective protection of sensitive resources. The ESI data may be appropriate for many other coastal management efforts, though the original intent should be kept in mind.

Notes:

[THIS FIELD IS FOR INTERNAL NOTES AS NEEDED. IT WILL NOT BE VIEWABLE IN THE PUBLIC METADATA RECORD.]

Other Citation Details:

Prepared by Research Planning, Inc, Columbia, South Carolina for the National Oceanic and Atmospheric Administration (NOAA), National Ocean Service, Office of Response and Restoration, Emergency Response Division, Seattle, Washington.

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS > BENTHIC
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL IMPACTS > OIL SPILLS
UNCONTROLLED
ISO 19115 Topic Category biota
ISO 19115 Topic Category environment
None BENTHIC
None Coastal Resources
None Coastal Zone Management
None Environmental Monitoring
None Environmental Sensitivity Index
None ESI
None Oil Spill Planning
None Sensitivity Maps

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > CANADA > ONTARIO
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > GREAT LAKES
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MICHIGAN
UNCONTROLLED
None Detroit River
None Lake Erie
None Lake Huron
None Lake St. Clair
None St. Clair River
None St. Clair-Detroit River System

Physical Location

Organization: Office of Response and Restoration
City: Seattle
State/Province: WA
Country: USA

Data Set Information

Data Set Scope Code: Data Set
Data Set Type: GIS Files
Maintenance Frequency: As Needed
Maintenance Note:

Data content is considered static once published. However, if issues with the Geodatabase linkages or table contents are identified, the Geodatabase and/or the associated Map Document may be updated. Assure most current data is being used by downloading from https://response.restoration.noaa.gov/esi_download and/or comparing modification dates provided at this site.

Data Presentation Form: Map (digital)
Entity Attribute Overview:

The attribute tables associated with the ESI biology data are BIOFILE, SOURCES, and BREED_DT. The geographic data layer containing biological resource information (in this case, BENTHIC) is linked to the BIOFILE using the RARNUM field. There is a many-to-many relationship from the data layer to the BIOFILE, as an RARNUM may be repeated in several geographic features, and the BIOFILE may have multiple records with the same RARNUM representing a variety of species, or a single species with differing attributes.

The items in the BIOFILE are ELEMENT, SUBELEMENT, NAME, GEN_SPEC, S, F, STATE, S_DATE, F_DATE, GRANK, GRANKDATE, MAPPING_QUALIFIER, CONC, JAN, FEB, MAR, APR, MAY, JUN, JUL, AUG, SEP, OCT, NOV, DEC, BREED1, BREED2, BREED3, BREED4, BREED5, RARNUM, G_SOURCE, S_SOURCE, and BREED. The G_SOURCE and S_SOURCE fields provide links to the SOURCES table, where object level source information is available. The BREED field is the link to the BREED_DT table, where searchable breed information is provided. The links to both of these tables are also many-to-many.

During the collection of the ESI data, six relational data tables are used to store the attribute data. These are the BIORES, BREED, SEASONAL, SOURCES, SPECIES, and STATUS tables. When we create new ESI data, we populate these tables to maintain the integrity of the data collected. Once completed, all information populating these tables is collapsed into the BIOFILE to ease data queries and general usability of the final product.

Entity Attribute Detail Citation:

Environmental Sensitivity Index Guidelines, Version 4.0 (Petersen, J., et al. 2019)

Entity Attribute Detail URL: https://response.restoration.noaa.gov/esi_guidelines
Distribution Liability:

Although these data have been processed and used successfully on a computer system at the National Oceanic and Atmospheric Administration (NOAA), no warranty, expressed or implied, is made by NOAA regarding the utility of the data on any other system, nor shall the act of distribution constitute any such warranty. NOAA warrants the delivery of this product in computer-readable format. If problems are encountered in downloading the ESI data or with file corruption, contact NOAA (see Distributor).

These data represent a snapshot in time and temporal changes may have occurred. The data are not intended to include all biological or human-use resources present in an area; they focus on species and resources particularly sensitive to oiling. In the event of a spill, they should be used for a first assessment only. The data providers are the experts with regard to individual resources. They should be contacted to confirm if more current data exist or if in-depth information is needed about a particular resource.

Data Set Credit: This project was supported by the National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office of Response and Restoration (OR&R), Emergency Response Division (ERD), Seattle, Washington.

Support Roles

Data Steward

CC ID: 890888
Date Effective From: 2019
Date Effective To:
Contact (Position): ESI Program Manager
Address: 7600 Sand Point Way NE
Seattle, WA 98115
Email Address: orr.esi@noaa.gov

Distributor

CC ID: 890890
Date Effective From: 2019
Date Effective To:
Contact (Organization): Office of Response and Restoration (ORR)
Address: 1305 East-West Highway
Silver Spring, MD 20910
URL: http://response.restoration.noaa.gov/

Metadata Contact

CC ID: 890891
Date Effective From: 2019
Date Effective To:
Contact (Position): ESI Program Manager
Address: 7600 Sand Point Way NE
Seattle, WA 98115
Email Address: orr.esi@noaa.gov

Point of Contact

CC ID: 890889
Date Effective From: 2019
Date Effective To:
Contact (Position): ESI Program Manager
Address: 7600 Sand Point Way NE
Seattle, WA 98115
Email Address: orr.esi@noaa.gov

Extents

Currentness Reference: Publication Date

Extent Group 1

Extent Description:

This reflects the extent of all land and water features included in the Great Lakes - St. Clair / Detroit River System 2019 ESI area of interest (AOI). The bounding box for each feature class may vary depending on occurrences identified and mapped.

Extent Group 1 / Geographic Area 1

CC ID: 893347
W° Bound: -83.576664
E° Bound: -82.276293
N° Bound: 43.124996
S° Bound: 41.7296012
Description

Bounding box for the St. Clair - Detroit River System area of interest in southeastern Michigan.

Extent Group 1 / Time Frame 1

CC ID: 893348
Time Frame Type: Range
Start: 2018
End: 2019
Description:

Data collection for the St. Clair - Detroit River System ESI atlas began in 2018 and was concluded and published in 2019.

Spatial Information

Spatial Resolution

Level of Detail Description:

[NOTE: IN "VECTOR REPRESENTATION" SECTION BELOW, TOPOLOGY LEVEL IS CONSIDERED "Geometry Only", POLYGONS ARE CONSIDERED AS "Complex Objects", LINES ARE CONSIDERED AS "Curve Objects", AND POINTS ARE CONSIDERED AS "Point Objects". ONLY THE OBJECT TYPES IN THE FEATURE DATA SET SHOULD BE DOCUMENTED. THE COUNTS OF EACH TYPE OF OBJECT IN THE FEATURE DATA SET SHOULD BE RECORDED (1 TO N), AFTER PROCESSING BY NOAA INTO THE FINAL ESI GEODATABASE.]

Spatial Representation

Representations Used

Grid: No
Vector: Yes
Text / Table: Yes
TIN: No
Stereo Model: No
Video: No

Vector Representation 1

CC ID: 890900
Topology Level: Geometry Only
Complex Object Present?: Yes
Complex Object Count: 24
Composite Object Present?: No
Curve Object Present?: No
Point Object Present?: No
Solid Object Present?: No
Surface Object Present?: No

Reference Systems

Reference System 1

CC ID: 890901

Coordinate Reference System

CRS Type: Geographic 2D
EPSG Code: EPSG:4269
EPSG Name: NAD83
See Full Coordinate Reference System Information

Access Information

Security Class: Unclassified
Data Access Procedure:

Data can be accessed by downloading the zipped ArcGIS geodatabase from the Download URL (see Distribution Information). Questions can be directed to the ESI Program Manager (Point Of Contact).

Data Access Constraints:

None

Data Use Constraints:

DO NOT USE MAPS FOR NAVIGATIONAL PURPOSES. Management boundaries are not to be considered legal boundaries. Edges may have been altered for cartographic processes. Note that the ESI database should not be used to the exclusion of other pertinent data or information held by state or federal agencies or other organizations. Likewise, information contained in the database cannot be used in place of consultations with environmental, natural resource, and cultural resource agencies, or in place of field surveys. Recognize that the information contained in the ESI database represents known concentration areas or occurrences of natural, cultural, and human-use resources, but does not necessarily represent the full distribution or range of each species or resource. This is particularly important to recognize when considering potential impacts to protected resources, such as endangered species, wetlands, etc. Besides the above warnings, there are no use constraints on these data. Acknowledgment of the originators, publishers, contributors, and sources listed would be appreciated in products derived from these data.

Metadata Access Constraints:

None

Metadata Use Constraints:

None

Distribution Information

Distribution 1

CC ID: 890892
Start Date: 2019-09
End Date: Present
Download URL: https://response.restoration.noaa.gov/esi_download
Distributor: Office of Response and Restoration (ORR) (2019 - Present)
File Name: GL_StClair_Detroit_River_System_2019_GDB.zip
Description:

This feature class is part of the downloadable Esri Arc Geodatabase.

File Date/Time: 2020-01-13 00:00:00
File Type: Arc Geodatabase
File Size: 35.5 MB
Compression: Zip

URLs

URL 1

CC ID: 890893
URL: https://response.restoration.noaa.gov/esi_guidelines
Name: ESI Guidelines
URL Type:
Online Resource
File Resource Format: pdf
Description:

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.

URL 2

CC ID: 890894
URL: https://response.restoration.noaa.gov/esi
Name: ESI Overview
URL Type:
Online Resource
File Resource Format: html
Description:

Overview of ESI data content and uses.

URL 3

CC ID: 890895
URL: https://response.restoration.noaa.gov/sites/default/files/ESI-Browse-Graphic.pdf
Name: ESI Browse Graphic
URL Type:
Browse Graphic
File Resource Format: pdf
Description:

ESI Browse Graphic depicts the relationships between the spatial data layers and the attribute data tables for an ESI geodatabase.

Activity Log

Activity Log 1

CC ID: 890896
Activity Date/Time: 2019-10
Activity Type: Metadata creation
Responsible Party: Katy Beckham (Research Planning)
Description:

Metadata for the Great Lakes - Straits of Mackinac and St. Clair / Detroit River System ESI atlases were initially created by Research Planning Inc. (RPI) in October 2019.

Activity Log 2

CC ID: 892578
Activity Date/Time: 2020-01
Activity Type: Metadata review, revision, and publication
Responsible Party: David Moe Nelson
Description:

Metadata for the Great Lakes - Straits of Mackinac and St. Clair / Detroit River System ESI atlases were reviewed, revised, and prepared for publication by NOAA in January 2020.

Technical Environment

Description:

The software packages used to develop the atlas are Environmental Systems Research Institute's ArcGIS for Desktop 10.4.1(R) and SQL SERVER(R) (version 2005). The hardware configuration is PCs with Windows Operating System 10.

Data Quality

Accuracy:

A multi-stage error checking process is used to verify both attribute accuracy and logical consistency throughout data production. The process includes a standardized data entry methodology, data review by in-house and external resource experts, a final Quality Assurance/Quality Control (QA/QC) process, and multiple automated logical consistency checks. Quantitative data (such as densities, counts, abundances, or concentrations) provided by resource experts for inclusion in the data set may vary widely in attribute accuracy, depending upon the methodology used to collect and compile such data. For a more detailed evaluation of source data attribute accuracy, check the sources listed in the Lineage section.

Completeness Report:

These data represent a synthesis of sources of data, e.g., expert knowledge, available hardcopy documents, survey data, maps, and digital data on Benthic distributions in the Great Lakes - St. Clair / Detroit River System. These data do not represent all Benthic occurrences in the St. Clair - Detroit River region.

The following species are included in this data set, though not all occurrences may be mapped (Species_ID, Common Name, Scientific Name [n/a if not applicable]): 609, Submerged aquatic vegetation, n/a.

Conceptual Consistency:

A multi-stage error checking process, described in the above Attribute Accuracy Report, is used to verify both attribute accuracy and logical consistency throughout data production. This process includes multiple automated logical consistency checks that test the files for missing or duplicate data, rules for proper coding, GIS topological consistencies, and SQL SERVER(R) to ArcGIS(R) consistencies. A final review is made by the GIS manager, before the complete Geodatabase and metadata are created. After the data are delivered to NOAA, they are again subjected to several consistency checks, and processed into the final delivery format.

Lineage

Lineage Statement:

Sources and Process Steps cited below in this metadata record include those used for two distinct areas of the Great Lakes: the Straits of Mackinac in northern Michigan, and the St. Clair / Detroit River System in southeastern Michigan. This is because these two study areas were initially combined into a single ArcGIS geodatabase, before being separated for publication. As a final procedural step to prepare the geodatabases for publication, the spatial data data corresponding to each respective area were clipped in ArcGIS according to the two distinct geographic study areas.

Sources

DISTRIBUTION OF OPTICALLY SHALLOW AREAS OF LAKE MICHIGAN. DATA CITED FROM REMOTE SENSING OF THE ENVIRONMENT (2015) 157: 58-71

CC ID: 890903
Contact Role Type: Originator
Contact Type: Organization
Contact Name: MICHIGAN TECH RESEARCH INSTITUTE - R. SHUCHMAN, M. SAYERS, C. BROOKS, M. AUER, N. JESSEE, A. GRIMM
Publish Date: 2012-01-01
Extent Type: Range
Extent Start Date/Time: 2008
Extent End Date/Time: 2011
Source Contribution:

BENTHIC Info

DISTRIBUTION OF SAV IN OPTICALLY SHALLOW AREAS OF LAKE HURON. DATA CITED FROM REMOTE SENSING OF THE ENVIRONMENT (2015) 157: 58-71

CC ID: 890904
Contact Role Type: Originator
Contact Type: Organization
Contact Name: MICHIGAN TECH RESEARCH INSTITUTE - R. SHUCHMAN, M. SAYERS, C. BROOKS, M. AUER, N. JESSEE, A. GRIMM
Publish Date: 2012-01-01
Extent Type: Range
Extent Start Date/Time: 2007
Extent End Date/Time: 2011
Source Contribution:

BENTHIC Info

LAKE ST. CLAIR SUBMERGED AQUATIC VEGETATION MEAN PERCENT COVER, 2008-2011

CC ID: 890902
Contact Role Type: Originator
Contact Type: Organization
Contact Name: GREAT LAKES AQUATIC HABITAT FRAMEWORK (GLAHF)
Publish Date: 2011-01-01
Extent Type: Range
Extent Start Date/Time: 2008
Extent End Date/Time: 2011
Citation URL: https://www.glahf.org/data/
Citation URL Name: Great Lakes Aquatic Habitat Framework
Citation URL Description:

Aquatic Geospatial database for downloadable digital vector datasets

Source Contribution:

BENTHIC Info

Process Steps

Process Step 1

CC ID: 890905
Description:

Two main sources of data were used to depict benthic distribution and seasonality for the BENTHIC data layer: 1) SAV data from Michigan Tech Research Institute (MTRI) and 2) SAV data from Great Lakes Aquatic Habitat Framework (GLAHF). In the MTRI datasets, areas that were attributed as “less dense SAV” or “dense SAV” were combined, and these areas were used to map SAV presence. Due to the high resolution of the MTRI data, data were buffered by 20 m and smoothed by 50 meters to create the final SAV areas. SAV in Lakes Michigan and Huron is predominantly Cladophora, a nuisance, native green alga. Mapped areas also include other SAV, including vascular plants, other filamentous algae, and diatoms. In the GLAHF dataset, all areas with greater than 50 percent cover up to 75 percent cover were selected and mapped with a concentration of “>50 to 75%”. All areas with greater than 75 percent cover were mapped with a concentration of “>75 to 100% cover”.

Process Date/Time: 2019-09-23 00:00:00
Process Contact: ESI Program Manager
Email Address: orr.esi@noaa.gov

Process Step 2

CC ID: 890906
Description:

The above digital and/or hardcopy sources were compiled by the project biologist to create the BENTHIC data layer. Depending on the type of source data, three general approaches are used for compiling the data layer: 1) information gathered during initial interviews and from hardcopy sources are compiled onto U.S. Geological Survey 1:50,000 topographic quadrangles and digitized; 2) hardcopy maps are digitized at their source scale; 3) digital data layers are evaluated and used "as is" or integrated with the hardcopy data sources. See the Lineage section for additional information on the type of source data for this data layer. The ESI, biology, and human-use data are compiled into the standard ESI digital data format. A second set of interviews with participating resource experts are conducted to review the compiled data. If necessary, edits to the BENTHIC data layer are made based on the recommendations of the resource experts, and final hardcopy maps and digital data are created.

Process Date/Time: 2019-09-23 00:00:00
Process Contact: ESI Program Manager
Email Address: orr.esi@noaa.gov

Process Step 3

CC ID: 896137
Description:

Sources and Process Steps cited above in this metadata record include those used for two distinct areas of the Great Lakes: the Straits of Mackinac in northern Michigan, and the St. Clair / Detroit River System in southeastern Michigan. This is because these two study areas were initially combined into a single ArcGIS geodatabase, before being separated for publication. As a final procedural step to prepare the geodatabases for publication, the spatial data data corresponding to each respective area were clipped in ArcGIS according to the two distinct geographic study areas.

Process Date/Time: 2020-09-30 00:00:00
Process Contact: ESI Program Manager
Email Address: orr.esi@noaa.gov

Child Items

Rubric scores updated every 15m

Rubric Score Type Title
Entity BENTHIC
Entity BIOFILE
Entity BREED_DT
Entity SOURCES

Catalog Details

Catalog Item ID: 58442
GUID: gov.noaa.nmfs.inport:58442
Metadata Record Created By: David Moe Nelson
Metadata Record Created: 2020-01-09 10:17+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2022-03-29 17:48+0000
Metadata Record Published: 2020-02-14
Owner Org: ORR
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Review Frequency: 1 Year