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Short Citation:
Office of Response and Restoration, 2022: NY/NJ Metro Area, Hudson River, and South Long Island 2016 BENTHIC Polygons, https://www.fisheries.noaa.gov/inport/item/51890.

Item Identification

Title: NY/NJ Metro Area, Hudson River, and South Long Island 2016 BENTHIC Polygons
Short Name: NY/NJ Metro Area, Hudson River, and South Long Island 2016 BENTHIC Polygons
Status: Completed
Publication Date: 2016
Abstract:

This data set contains sensitive biological resource data for marine and estuarine bivalve reefs and submerged aquatic vegetation (SAV) in the New York/New Jersey Metro Area, Hudson River, and South Long Island region. Vector polygons in this data set represent eelgrass, widgeon grass, water celery, macroalgae, and oyster reef distribution. Species-specific abundance, seasonality, status, life history, and source information are stored in associated data tables (described below) designed to be used in conjunction with this spatial data layer. This data set is a portion of the ESI data for the NY/NJ Metro Area, Hudson River, and South Long Island region. 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:

Loaded by FGDC Metadata Uploader, batch 10497, 03-06-2018 15:36

The following FGDC sections are not currently supported in InPort, but were preserved and will be included in the FGDC export:

- Spatial Reference Information (FGDC:spref),

- Spatial Data Organization Information (FGDC:spdoinfo)

Keywords

Theme Keywords

Thesaurus Keyword
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 ESI
None Oil spill planning
None Sensitivity maps
None Wildlife

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > NEW JERSEY
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > NEW YORK
UNCONTROLLED
None Hudson River
None South Long Island

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 primary 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. Likewise, in the BIOFILE, the same RARNUM may appear in multiple records, representing a unique combination of species found in that region. To be represented by the same RARNUM, these species groups must also share the same seasonality, concentration, mapping qualifier, and source information. 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:

NOAA ESI Guidelines

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: 750132
Date Effective From: 2016
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: 750133
Date Effective From: 2016
Date Effective To:
Contact (Position): ESI Program Manager
Address: 7600 Sand Point Way NE
Seattle, WA 98115
Email Address: orr.esi@noaa.gov

Metadata Contact

CC ID: 750134
Date Effective From: 2016
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: 750135
Date Effective From: 2016
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 Group 1 / Geographic Area 1

CC ID: 737863
W° Bound: -74.595
E° Bound: -71.7215
N° Bound: 42.8226
S° Bound: 39.9993

Extent Group 1 / Time Frame 1

CC ID: 737862
Time Frame Type: Range
Start: 2014
End: 2016

Spatial Information

Spatial Representation

Representations Used

Vector: Yes
Text / Table: Yes

Vector Representation 1

CC ID: 750138
Topology Level: Geometry Only
Complex Object Present?: Yes
Complex Object Count: 13410

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.

Distribution Information

Distribution 1

CC ID: 737868
Start Date: 2016
End Date: Present
Download URL: https://response.restoration.noaa.gov/esi_download
Distributor: ESI Program Manager (2016 - Present)
File Name: NY_NJ_2016_GDB.zip
Description:

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

File Date/Time: 2016-09-12 00:00:00
File Type: Arc Geodatabase
File Size: 64 MB
Compression: Zip

URLs

URL 1

CC ID: 737870
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 2

CC ID: 737872
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:

Depicts the relationships between the spatial data layers and the attribute data tables for the NY/NJ Metro Area, Hudson River, and South Long Island ESI data.

URL 3

CC ID: 750136
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.

Technical Environment

Description:

The software packages used to develop the atlas are Environmental Systems Research Institute's ArcGIS for Desktop 10.2(R) . The hardware configuration is PCs with Windows Operating System 7.

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, contact the sources listed in the Lineage section.

Completeness Report:

These data represent a synthesis of digital data on eelgrass, widgeon grass, water celery, macroalgae, and oyster reef distributions. These data do not necessarily represent all benthic habitat in the NY/NJ Metro Area, Hudson River, and South Long Island region. The following species are included in this data set: (Species_ID, Common Name, Scientific Name or "n/a" if not applicable): 83, Water celery, Vallisneria americana; 213, Submersed aquatic vegetation, n/a; 1035, Macroalgae, n/a; 1184, Oyster reef, 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 final 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

Sources

CLASSIFICATION OF SUBMERGED AQUATIC VEGETATION (SAV) FROM QUICKBIRD-2 SATTELITE IMAGERY FOR THE FIRE ISLAND NATIONAL SEASHORE: SAV_FINAL.IMG

CC ID: 737881
Contact Name: WANG, Y.Q. AND M. TRABER, UNIVERSITY OF RHODE ISLAND, DEPARTMENT OF NATURAL RESOURCES SCIENCE.
Publish Date: 2004-01-01
Extent Type: Range
Extent Start Date/Time: 2004-05
Extent End Date/Time: 2004-07

HUDSON RIVER ESTUARY DOCUMENTED SUBMERGED AQUATIC VEGETATION (SAV)

CC ID: 737876
Contact Name: CORNELL INSTITUTE FOR RESOURCE INFORMATION SCIENCES
Publish Date: 2011-05-31
Extent Type: Range
Extent Start Date/Time: 1995
Extent End Date/Time: 2007
Citation URL: HTTP://GIS.NY.GOV/GISDATA/INVENTORIES/MEMBER.CFM?ORGANIZATIONID=529

HUDSON RIVER SUBMERGED AQUATIC VEGETATION 2007

CC ID: 737875
Contact Name: CORNELL INSTITUTE FOR RESOURCE INFORMATION SCIENCES
Publish Date: 2011-05-31
Extent Type: Discrete
Extent Start Date/Time: 2007-08-14
Citation URL: HTTP://WWW.NYSGIS.STATE.NY.US

LONG ISLAND BENTHIC HABITAT (FINAL_POLY)

CC ID: 737880
Contact Name: GREENHORNE AND O'MARA
Publish Date: 2002-12-31
Extent Type: Discrete
Extent Start Date/Time: 2002
Citation URL: HTTPS://GIS.NY.GOV/GISDATA/INVENTORIES/DETAILS.CFM?DSID=316

SUBMERGED AQUATIC VEGETATION (SAV) CRSSA IMAGE CLASSIFICATION OF THE BARNEGAT BAY - LITTLE EGG HARBOR ESTUARY, NEW JERSEY: 2003

CC ID: 737878
Contact Name: GRANT F. WALTON CENTER FOR REMOTE SENSING AND SPATIAL ANALYSIS (CRSSA), RUTGERS UNIVERSITY
Publish Date: 2011-05-11
Extent Type: Discrete
Extent Start Date/Time: 2003
Citation URL: HTTP://CRSSA.RUTGERS.EDU/PROJECTS/COASTAL/SAV/DOWNLOADS.HTM

SUBMERGED AQUATIC VEGETATION (SAV) CRSSA IMAGE CLASSIFICATION OF THE BARNEGAT BAY - LITTLE EGG HARBOR ESTUARY, NEW JERSEY: 2009

CC ID: 737877
Contact Name: GRANT F. WALTON CENTER FOR REMOTE SENSING AND SPATIAL ANALYSIS (CRSSA), RUTGERS UNIVERSITY
Publish Date: 2011-05-11
Extent Type: Discrete
Extent Start Date/Time: 2009
Citation URL: HTTP://CRSSA.RUTGERS.EDU/PROJECTS/COASTAL/SAV/DOWNLOADS.HTM

SUBMERGED AQUATIC VEGETATION IN THE BARNEGAT BAY - LITTLE EGG HARBOR ESTUARY, NEW JERSEY: 1979

CC ID: 737879
Contact Name: GRANT F. WALTON CENTER FOR REMOTE SENSING AND SPATIAL ANALYSIS (CRSSA), RUTGERS UNIVERSITY
Publish Date: 1999-01-06
Extent Type: Discrete
Extent Start Date/Time: 1979
Citation URL: HTTP://CRSSA.RUTGERS.EDU/PROJECTS/COASTAL/SAV/DOWNLOADS.HTM

Process Steps

Process Step 1

CC ID: 737882
Description:

Benthic habitats were mapped using available digital data for Barnegat Bay, the Hudson River estuary, and the South Shore of Long Island. Benthic habitats mapped in this atlas consist of submerged aquatic vegetation (SAV) and bivalve reefs. Benthic habitat was given the mapping qualifier of .High Ecological Value. as it provides spawning, nursery, and foraging habitat for fish and shellfish, habitat for macroinvertebrates, and food for waterfowl, fish, and mammals. The Hudson River estuary and Barnegat Bay have data sets for SAV inventories conducted in multiple years. In these cases, SAV in the most recent year for each area was mapped with a concentration value of .Present. while SAV from prior years was given the concentration value of .Potential.. SAV may eventually recover or be restored in areas where it has been lost, and it was recommended by the data providers that these areas be included in the atlas. Hudson River SAV was mapped using the combined Hudson River National Estuarine Research Reserve (NERR)/New York State Department of Environmental Conservation (NYSDEC) vector digital data from 1997, 2002, and 2007. The most recently mapped year (2007) was used to differentiate SAV classified as .Present. from the past or .Potential. distribution. The dominant species in the Hudson River estuary SAV community is water celery (Vallisneria americana). The dominant seagrass in Barnegat Bay and the South Shore estuary is eelgrass (Zostera marina), with widgeon grass (Ruppia maritima) occurring in shallower areas with lower salinity. Barnegat Bay SAV was mapped with 1979, 2003, and 2009 data, with 2009 SAV mapped as .Present.. Long Island.s South Shore estuary benthic habitats were mapped using the 2002 New York State Department of State (NYSDOS) benthic habitat data set and supplemented with Fire Island SAV data. Fire Island SAV data was included only in areas where it did not overlap with the NYSDOS data. The only bivalve reefs mapped in this AOI were in South Oyster Bay. In addition to seagrass and reefs, areas with macroalgae (seaweed) are shown in the South Shore estuary. The above digital sources were compiled by the project biologist to create the BENTHIC data layer. Depending on the type of source data, two general approaches are used for compiling the data layer: 1) digital data layers are evaluated and used "as is" or integrated with the ESI base map features (ESIP, HYDROP, ESIL) 2) information gathered during initial interviews and from hardcopy sources are compiled and digitized using ESI base map features. 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 digital data are created.

Process Date/Time: 2015-11-01 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: 51890
GUID: gov.noaa.nmfs.inport:51890
Metadata Record Created By: David Moe Nelson
Metadata Record Created: 2018-03-06 15:36+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2021-11-30 16:28+0000
Metadata Record Published: 2018-09-28
Owner Org: ORR
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Review Frequency: 1 Year