48877
Deep-sea Soft Coral Habitat Suitability
Data Set
Published / External
37232
MarineCadastre
Project
Completed
2017-09-20
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.
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.
Bureau Code: 006:48, Program Code: 006:055
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL GOVERNANCE/MANAGEMENT
Theme
ISO 19115 Topic Category
biota
Theme
ISO 19115 Topic Category
environment
Theme
ISO 19115 Topic Category
oceans
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
Theme
coastal
Theme
planning
Theme
renewable energy
Spatial
Exclusive Economic Zone
Spatial
Outer Continental Shelf
Spatial
Territorial Sea
Spatial
United States of America
Office for Coastal Management
Charleston
SC
Data Set
As Needed
predictedLikelihood
https://www.marinecadastre.gov/about/disclaimer.html
NOAA National Centers for Coastal Ocean Science, NOAA Office for Coastal Management, Bureau of Ocean Energy Management
49131
DeepSeaSoftCoralHabitatSuitablility
DeepSeaSoftCoralHabitatSuitablility
Published / External
Completed
Likelihood of suitable deep-sea soft coral habitat off the US Atlantic coast and Gulf of Mexico. | Description Source: NOAA Office for Coastal Management
Converted from FGDC using 'fgdc_to_inport_xml_entity.pl' script.
1
OBJECTID
Unknown
No
No
Active
Internal feature number. | Description Source: Esri
Sequential unique whole numbers that are automatically generated.
2
Shape
Unknown
No
No
Active
Feature geometry. | Description Source: Esri
Coordinates defining the features.
3
predictedLikelihood
VARCHAR
No
No
Active
Predicted Likelihood of Habitat Suitability | Description Source: NOAA Office for Coastal Management
1: Low | 2: Medium-Low | 3: Medium | 4: Medium | 5: Medium | 6: High | 7: High | 8: High | 9: High | 10: Very High |
4
Shape_Length
Unknown
No
No
Active
Length of feature in internal units. | Description Source: Esri
Positive real numbers that are automatically generated.
5
Shape_Area
Unknown
No
No
Active
Area of feature in internal units squared. | Description Source: Esri
Positive real numbers that are automatically generated.
Point of Contact
2017-09-20
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Publication Date
-96.723789
-64.995977
44.641853
23.580831
Discrete
2017-09
Yes
Unclassified
None
For coastal and ocean planning
https://marinecadastre.gov/data/
MarineCadastre.gov Data Registry
https://marinecadastre.gov/downloads/data/mc/DeepSeaSoftCoralHabitatSuitability.zip
2017-09-20
Date that the source FGDC record was last modified.
2017-11-14
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.
2018-02-08
Partial upload of Positional Accuracy fields only.
Untested
Compiled to meet 10 meters horizontal accuracy at 95% confidence level
Untested
These data are logically consistent
Thresholded Logistic Outputs
NOAA National Centers for Coastal Ocean Science
2013-01-01
Discrete
2013
https://coastalscience.noaa.gov/projects/detail?key=35
Raster images were obtained from NOAA NCCOS and averaged and combined into habitat suitability models by NOAA OCM | Type of Source Media: online
1
+ 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
2017-05-01T00:00:00
2
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.
2017-08-29T00:00:00
49131
Entity
DeepSeaSoftCoralHabitatSuitablility
gov.noaa.nmfs.inport:48877
Anne Ball
2017-11-14T15:55:59
SysAdmin InPortAdmin
2023-05-30T18:09:33
2018-02-08
Office for Coastal Management
OCM
1002
Public
No
2018-02-08
1 Year
2019-02-08