Deep-Sea Soft Coral Habitat Suitability
Data Set (DS) | Office for Coastal Management (OCM)GUID: gov.noaa.nmfs.inport:48877 | Updated: August 15, 2024 | Published / External
Summary
Short Citation
Office for Coastal Management, 2024: Deep-Sea Soft Coral Habitat Suitability, https://www.fisheries.noaa.gov/inport/item/48877.
Full Citation Examples
Deep-sea corals, also known as cold water corals, create complex communities that provide habitat for a variety of invertebrate and fish species, such as grouper, snapper, and sea bass. The map depicts the relative likelihood of finding suitable habitat for soft corals at a given location and is a prediction based on a statistical model relating several environmental characteristics to the presence of soft corals using observations of soft coral. Soft corals, unlike stony corals, do not form calcium-based skeletons. A common example of a soft coral is a sea fan. Please also reference the "Deep-Sea Stony Coral Habitat Suitability" layer. Predictions from these habitat suitability models can be used to support conservation and management of deep-sea corals and to assist with targeting areas for mapping and exploration.
Distribution Information
-
Marine Cadastre Data Registry
None
For coastal and ocean planning
Controlled Theme Keywords
biota, environment, ENVIRONMENTAL GOVERNANCE/MANAGEMENT, oceans
Child Items
Type | Title |
---|---|
Entity | DeepSeaSoftCoralHabitatSuitablility |
Contact Information
Point of Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov
Extents
-96.723789° W,
-64.995977° E,
44.641853° N,
23.580831° S
2017-09
Item Identification
Title: | Deep-Sea Soft Coral Habitat Suitability |
---|---|
Status: | Completed |
Publication Date: | 2017-09-20 |
Abstract: |
Deep-sea corals, also known as cold water corals, create complex communities that provide habitat for a variety of invertebrate and fish species, such as grouper, snapper, and sea bass. The map depicts the relative likelihood of finding suitable habitat for soft corals at a given location and is a prediction based on a statistical model relating several environmental characteristics to the presence of soft corals using observations of soft coral. Soft corals, unlike stony corals, do not form calcium-based skeletons. A common example of a soft coral is a sea fan. Please also reference the "Deep-Sea Stony Coral Habitat Suitability" layer. Predictions from these habitat suitability models can be used to support conservation and management of deep-sea corals and to assist with targeting areas for mapping and exploration. |
Purpose: |
To support ocean planning activities pursuant to the Executive Order Regarding the Ocean Policy to Advance the Economic, Security, and Environmental Interests of the United States, the Energy Policy Act, the National Environmental Policy Act, the Rivers and Harbors Act, and the Coastal Zone Management Act. |
Supplemental Information: |
Bureau Code: 006:48, Program Code: 006:055 |
Keywords
Theme Keywords
Thesaurus | Keyword |
---|---|
Global Change Master Directory (GCMD) Science Keywords |
EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL GOVERNANCE/MANAGEMENT
|
ISO 19115 Topic Category |
biota
|
ISO 19115 Topic Category |
environment
|
ISO 19115 Topic Category |
oceans
|
UNCONTROLLED | |
None | coastal |
None | planning |
None | renewable energy |
Spatial Keywords
Thesaurus | Keyword |
---|---|
Global Change Master Directory (GCMD) Location Keywords |
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
|
UNCONTROLLED | |
None | Exclusive Economic Zone |
None | Outer Continental Shelf |
None | Territorial Sea |
None | United States of America |
Physical Location
Organization: | Office for Coastal Management |
---|---|
City: | Charleston |
State/Province: | SC |
Data Set Information
Data Set Scope Code: | Data Set |
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Maintenance Frequency: | As Needed |
Entity Attribute Overview: |
predictedLikelihood |
Distribution Liability: |
https://www.marinecadastre.gov/about/disclaimer.html |
Data Set Credit: | NOAA National Centers for Coastal Ocean Science, NOAA Office for Coastal Management, Bureau of Ocean Energy Management |
Support Roles
Point of Contact
Date Effective From: | 2017-09-20 |
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Date Effective To: | |
Contact (Organization): | NOAA Office for Coastal Management (NOAA/OCM) |
Address: |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address: | coastal.info@noaa.gov |
Phone: | (843) 740-1202 |
URL: | https://coast.noaa.gov |
Extents
Currentness Reference: | Publication Date |
---|
Extent Group 1
Extent Group 1 / Geographic Area 1
W° Bound: | -96.723789 | |
---|---|---|
E° Bound: | -64.995977 | |
N° Bound: | 44.641853 | |
S° Bound: | 23.580831 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Discrete |
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Start: | 2017-09 |
Spatial Information
Spatial Representation
Representations Used
Vector: | Yes |
---|
Access Information
Security Class: | Unclassified |
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Data Access Constraints: |
None |
Data Use Constraints: |
For coastal and ocean planning |
Distribution Information
Distribution 1
Download URL: | https://marinecadastre.gov/data/ |
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Distributor: | |
Description: |
Marine Cadastre Data Registry |
Distribution 2
Download URL: | https://marinecadastre.gov/downloads/data/mc/DeepSeaSoftCoralHabitatSuitability.zip |
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Distributor: |
Activity Log
Activity Log 1
Activity Date/Time: | 2017-09-20 |
---|---|
Description: |
Date that the source FGDC record was last modified. |
Activity Log 2
Activity Date/Time: | 2017-11-14 |
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Description: |
Converted from FGDC Content Standard for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details. |
Activity Log 3
Activity Date/Time: | 2018-02-08 |
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Description: |
Partial upload of Positional Accuracy fields only. |
Data Quality
Accuracy: |
Untested |
---|---|
Horizontal Positional Accuracy: |
Compiled to meet 10 meters horizontal accuracy at 95% confidence level |
Completeness Report: |
Untested |
Conceptual Consistency: |
These data are logically consistent |
Lineage
Sources
Thresholded Logistic Outputs
Contact Name: | NOAA National Centers for Coastal Ocean Science |
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Publish Date: | 2013-01-01 |
Extent Type: | Discrete |
Extent Start Date/Time: | 2013 |
Citation URL: | https://coastalscience.noaa.gov/projects/detail?key=35 |
Source Contribution: |
Raster images were obtained from NOAA NCCOS and averaged and combined into habitat suitability models by NOAA OCM | Type of Source Media: online |
Process Steps
Process Step 1
Description: |
+ Download the 3 zip files from https://coastalscience.noaa.gov/projects/detail?key=35: DSC_PredictiveModeling_US_Northeast_MidAtlantic.zip DSC_PredictiveModeling_US_Southeast.zip DSC_PredictiveModeling_US_Gulf_of_Mexico.zip + From each zip file, extract the ESRI_Grid folder from the Thresholded_Logistic_Outputs folders + For each location, separate rasters into soft and stony: GOM Soft GOM Stony SE Soft SE Stony NE Soft NE Stony ALCY LOPHPERT ALCY ENALPROF ALCY SCLER ALCYGORG MADRAC ALCYCALCAX LOPHPERT ALCYGORG SCLERCARYO ALCYNONGORG MADREP ALCYGORG MADROCUL ALCYNONGORG SCLERFLABELL ANTI SCLER ALCYHOLAX OCULSPP PENN BEBR SCLERFRAME ALCYNONGORG SCLERFRAME PENNSESS CALLO SCLERNONFRAME ANTI SCLERNONFRAME PENNSUBSESS ELLIS PENN STYL GORG HYPNO ISID PARA PLEX + Using the Raster Calculator, Average each of the 6 groupings into a new raster + Project each output into WGS 1984 Auxiliary Sphere + Mosaic to New Raster the 3 soft coral rasters and the 3 stony coral rasters using MEAN as the mosaic operator + Convert Raster to Polygon the soft coral raster and the stony coral raster, unchecking the box to simplify polygons + In each feature class, select features where gridcode = 0 and switch selection + Dissolve both feature classes on gridcode field, unchecking the box to create multipart features + Rename gridcode field to value |
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Process Date/Time: | 2017-05-01 00:00:00 |
Process Step 2
Description: |
Working from data processed in May 2017: 1. Renamed value field to "predictedLikelihood" 2. Created Domain for predictedLikelihood field based on NCCOS documentation for Low (0-1), Medium-Low (1-2), Medium (2-5), High (6-9), and Very High (10) thresholded values. 3. Assigned Domain to predictedLikelihood field. 4. Updated cartography and legend based on these new descriptor values. 5. Created new layer file. |
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Process Date/Time: | 2017-08-29 00:00:00 |
Child Items
Rubric scores updated every 15m
Type | Title | |
---|---|---|
Entity | DeepSeaSoftCoralHabitatSuitablility |
Catalog Details
Catalog Item ID: | 48877 |
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GUID: | gov.noaa.nmfs.inport:48877 |
Metadata Record Created By: | Anne Ball |
Metadata Record Created: | 2017-11-14 15:55+0000 |
Metadata Record Last Modified By: | Daniel Martin |
Metadata Record Last Modified: | 2024-08-15 19:47+0000 |
Metadata Record Published: | 2018-02-08 |
Owner Org: | OCM |
Metadata Publication Status: | Published Externally |
Do Not Publish?: | N |
Metadata Last Review Date: | 2018-02-08 |
Metadata Review Frequency: | 1 Year |
Metadata Next Review Date: | 2019-02-08 |