Dataset Overview | National Centers for Environmental Information (NCEI)

NCCOS Assessment: U.S. West Coast Cross-Shelf Habitat Suitability Modeling of Deep-Sea Corals and Sponges, 2016-10-01 to 2020-09-30 (NCEI Accession 0276883)

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This data collection contains geospatial data from models predicting the spatial distributions of deep-sea corals and sponges offshore of the continental U.S. West Coast to 1200 m depth. It includes raster datasets at 200 x 200 m spatial resolution depicting the mean of the predicted relative habitat suitability, the coefficient of variation of the predicted relative habitat suitability, the classified mean relative habitat suitability, and the ‘robust high’ habitat suitability prediction for each of 31 taxa of deep-sea corals and 15 taxa of sponges and raster datasets at 200 x 200 m spatial resolution depicting the number of taxa of deep-sea corals associated with hard substrate that have ‘high’ habitat suitability or ‘robust high’ habitat suitability at each grid cell. The data collection also includes raster datasets at 200 x 200 m spatial resolution depicting each of the 66 spatial environmental predictor variables considered for fitting the models.

Dataset Citation

Cite as: Poti, Matthew; Henkel, Sarah; Bizzarro, Joseph J.; Hourigan, Thomas F.; Clarke, M. Elizabeth; Whitmire, Curt E.; Powell, Abigail; Yoklavich, Mary M.; Bauer, Laurie; Winship, Arliss J.; Coyne, Michael; Gillett, David J.; Gilbane, Lisa; Christensen, John; Jeffrey, Christopher F.G. (2023). NCCOS Assessment: U.S. West Coast Cross-Shelf Habitat Suitability Modeling of Deep-Sea Corals and Sponges, 2016-10-01 to 2020-09-30 (NCEI Accession 0276883). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/5e50-g162. Accessed [date].

Dataset Identifiers

ISO 19115-2 Metadata

gov.noaa.nodc:0276883

Full Text · XML

Download Data	HTTPS (download) Navigate directly to the URL for data access and direct download. FTP (download) These data are available through the File Transfer Protocol (FTP). FTP is no longer supported by most internet browsers. You may copy and paste the FTP link to the data into an FTP client (e.g., FileZilla or WinSCP).
Distribution Formats	GeoTIFF
Ordering Instructions	Contact NCEI for other distribution options and instructions.
Distributor	NOAA National Centers for Environmental Information +1-301-713-3277 NCEI.Info@noaa.gov
Dataset Point of Contact	NOAA National Centers for Environmental Information ncei.info@noaa.gov

Time Period	2016-10-01 to 2020-09-30
Spatial Bounding Box Coordinates	West: -125.75885 East: -117.12375 South: 31.99803 North: 47.75512
Spatial Coverage Map

General Documentation

NCEI Dataset Landing Page
Navigate directly to the URL for a descriptive web page with download links.
Descriptive Information
Navigate directly to the URL for a descriptive web page with download links.

Associated Resources

NOAA’s National Database for DeepSea Corals and Sponges: 2020 Status Update
- https://spo.nmfs.noaa.gov/sites/default/files/TMOHC7.pdf
  Cited publication
Cross-Shelf Habitat Suitability Modeling: Characterizing Potential Distributions of Deep-Sea Corals, Sponges, and Macrofauna Offshore of the US West Coast. Camarillo (CA): US Department of the Interior, Bureau of Ocean Energy Management.
- https://espis.boem.gov/final%20reports/BOEM_2020-021.PDF
  Cited Publication
NOAA National Database for Deep-Sea Corals and Sponges (version 20190208)
- https://deepseacoraldata.noaa.gov/
  NOAA Data Source
NOAA NCEI Bathymetric Data Viewer
- https://www.ncei.noaa.gov/maps/bathymetry/ (download)
  NCEI Data Source
California State University, Monterey Bay Seafloor Mapping Lab
- http://seafloor.otterlabs.org/SFMLwebDATA_SURVEYMAP.htm (download)
  Sea Floor Mapping Data Source
Monterey Bay Aquarium Research Institute (MBARI) Seafloor Mapping
- https://www.mbari.org/products/data-repository/seafloor-mapping/ (download)
  Seafloor Mapping Data Source
USGS Pacific Coastal and Marine Science Center, Seafloor Mapping
- https://cmgds.marine.usgs.gov/data/pacmaps/data.html (download)
  data source
NOAA NCEI Coastal Relief Model (CRM)
- https://www.ngdc.noaa.gov/mgg/coastal/crm.html (download)
  NCEI Data Source
General Bathymetric Chart of the Oceans (GEBCO), GEBCO_2014 Grid
- https://www.gebco.net/data_and_products/historical_data_sets/#gebco_2014 (download)
  GEBCO Data Source
USGS usSEABED: Pacific Coast Offshore Surficial Sediment Data Release, version 1.0
- https://pubs.usgs.gov/ds/2006/182/data_cata.html (download)
  U.S.G.S Data Source
NASA Ocean Color SeaWiFS, Aqua MODIS, Terra MODIS, VIIRS
- https://oceancolor.gsfc.nasa.gov/ (download)
  N.A.S.A Data Source
California Current System 31-Year Historical Reanalysis
- https://oceanmodeling.ucsc.edu/reanalccs31/ (download)
  University of California Santa Cruz Ocean Modeling and Data Assimilation
NOAA National Weather Service WAVEWATCH III 30-Year Hindcast Phase 2
- https://polar.ncep.noaa.gov/waves/hindcasts/nopp-phase2.php (download)
  A 30-year wave climatology has been generated with the NOAA WAVEWATCH III® using the Ardhuin et al (2010) physics package, 15 regular lat-lon grids, and the NCEP Climate Forecast System Reanalysis and Reforecast (CFSRR) homogeneous dataset of hourly high-resolution winds. The time period covers from 1979 through 2009
Global Self-consistent, Hierarchical, High-resolution Geography Database (GSHHG)
- https://www.ngdc.noaa.gov/mgg/shorelines/ (download)
  full resolution coastline data version 2.3.6
NCCOS Project: Characterizing Potential Distributions of Deep-Sea Corals, Sponges, and Macrofauna Offshore of the U.S. West Coast
- https://coastalscience.noaa.gov/project/project/predictive-benthic-habitat-suitability-modeling-of-deep-sea-biota-on-the-us-pacific-outer-continental-shelf/
  NCCOS Project Page
NOAA Deep-Sea Coral Data Portal
- https://deepseacoraldata.noaa.gov/
  Project Page
US West Coast Deep Sea Corals and Sponges
- https://experience.arcgis.com/experience/cb28b1ae13f44d5796f7088660578b3c
  Project Page

Publication Dates	publication: 2023-03-15
Data Presentation Form	Digital table - digital representation of facts or figures systematically displayed, especially in columns
Dataset Progress Status	Complete - production of the data has been completed Historical archive - data has been stored in an offline storage facility
Data Update Frequency	As needed
Supplemental Information	Submission Package ID: J1KUMA Methods: Records of deep-sea coral and sponge occurrence (presences) were obtained from the NOAA National Database for Deep-Sea Corals and Sponges (McGuinn et al. 2020). Maximum entropy (Maxent) models were generated to estimate relationships between occurrence and spatial environmental predictor variables depicting seafloor topography, substrate, oceanography, and geography. Models were used to predict and map habitat suitability for each deep-sea coral and sponge taxon across the entire study area. Variability in model predictions was also mapped for each taxon to provide a measure of the level of confidence in model predictions. For more details, see Poti et al. (2020). File Information Total File Size: 20.8 GB total, 648 files in 17 folders (unzipped), 1.71 GB (zipped) Data File Format(s): GeoTiff .TIF (and ancillary files .TIF.AUX.XML, .VAT.CPG, .VAT.DBF) Data File Compression: .zip Data File Resolution: 200 x 200 meters GIS Projection: oblique Mercator coordinate system (origin = 39°N 125°W, azimuth = 75°, scale = 0.9996, datum = WGS84)
Purpose	The Pacific Outer Continental Shelf (OCS) Region includes an extensive area offshore of California, Oregon, and Washington for which the U.S. Department of the Interior Bureau of Ocean Energy Management (BOEM) oversees the responsible development of energy and mineral resources. Information about the distribution of sensitive biota in the region, including deep-sea corals and sponges, is critical for making environmentally sound decisions about managing those activities and developing mitigation measures to avoid or minimize impacts on marine environments and organisms. To meet this critical information need, BOEM partnered with the US Department of Commerce National Oceanic and Atmospheric Administration (NOAA) National Ocean Service (NOS) National Centers for Coastal Ocean Science (NCCOS) and the NOAA National Marine Fisheries Service (NMFS) to develop habitat suitability models predicting spatial distributions of suitable habitat for deep-sea corals and sponges. The objectives of this study were to collect and compile observations of deep-sea coral and sponge occurrence from survey data, to identify and derive datasets depicting environmental characteristics that might be correlated with the occurrence of these organisms, and to predict and map the spatial distributions of suitable habitat across the study area for selected taxa. In addition, preliminary ground-truthing of the deep-sea coral and sponge models was conducted using survey data collected in partnership with NOAA NMFS, BOEM, the US Geological Survey (USGS), and others. Products include geospatial datasets and maps to meet BOEM’s environmental assessment, management, and decision-making needs, as well as to support coastal and ocean management efforts by other local, state, and federal agencies.
Use Limitations	accessLevel: Public Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives.

Dataset Citation	Cite as: Poti, Matthew; Henkel, Sarah; Bizzarro, Joseph J.; Hourigan, Thomas F.; Clarke, M. Elizabeth; Whitmire, Curt E.; Powell, Abigail; Yoklavich, Mary M.; Bauer, Laurie; Winship, Arliss J.; Coyne, Michael; Gillett, David J.; Gilbane, Lisa; Christensen, John; Jeffrey, Christopher F.G. (2023). NCCOS Assessment: U.S. West Coast Cross-Shelf Habitat Suitability Modeling of Deep-Sea Corals and Sponges, 2016-10-01 to 2020-09-30 (NCEI Accession 0276883). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/5e50-g162. Accessed [date].
Cited Authors	Poti, Matthew US DOC, NOAA, NOS, National Centers for Coastal Ocean Science (NCCOS) Henkel, Sarah Oregon State University (OSU), Hatfield Marine Science Center Bizzarro, Joseph J. Institute of Marine Sciences, University of California, Santa Cruz and US DOC; NOAA; National Marine Fisheries Service (NMFS); Southwest Fisheries Science Center (SWFSC); Fisheries Ecology Division Hourigan, Thomas F. US DOC; NOAA; NMFS: Deep Sea Coral Research and Technology Program (DSCRTP) Clarke, M. Elizabeth US DOC; NOAA; NMFS; Northwest Fisheries Science Center (NWFSC) Whitmire, Curt E. NWFSC, Fishery Resource Analysis and Monitoring Division Powell, Abigail Lynker Technologies and NWFSC Yoklavich, Mary M. Institute of Marine Sciences, University of California, Santa Cruz and SWFSC, Fisheries Ecology Division Bauer, Laurie CSS, Inc. and NCCOS Winship, Arliss J. NOAA National Centers for Coastal Ocean Science Coyne, Michael CSS, Inc. and NCCOS Gillett, David J. Southern California Coastal Water Research Project Gilbane, Lisa US DOI, Bureau of Ocean Energy Management (BOEM), Pacific Outer Continental Shelf (OCS) Region Christensen, John US DOC; NOAA; NOS; National Centers for Coastal Ocean Science Jeffrey, Christopher F.G. CSS, Inc. and NCCOS
Principal Investigators	Matthew Poti US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS) Lisa Gilbane US DOI; Bureau of Ocean Energy Management (BOEM)
Collaborators	Sarah Henkel Oregon State University; Hatfield Marine Science Center (HMSC OSU) Joseph Bizzarro US DOC; NOAA; NMFS; Southwest Fisheries Science Center (NMFS/SWFSC) Thomas Hourigan US DOC; NOAA; National Marine Fisheries Service (NMFS) Elizabeth M. Clarke US DOC; NOAA; NMFS; Northwest Fisheries Science Center (NMFS/NWFSC) Curt Whitmire US DOC; NOAA; NMFS; Northwest Fisheries Science Center (NMFS/NWFSC) Abigail Powell US DOC; NOAA; NMFS; Northwest Fisheries Science Center (NMFS/NWFSC) Mary Yoklavich US DOC; NOAA; NMFS; Southwest Fisheries Science Center (NMFS/SWFSC) Laurie Bauer US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS) Arliss Winship US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS) Michael Coyne US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS) David Gillett Southern California Coastal Water Research Project Authority (SCCWRPA) Christensen, John US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS) Christopher Jeffrey US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS)
Contributors	US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS)
Resource Providers	US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS)
Points of Contact	Matthew Poti US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS) NCCOS Data Manager US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS)
Publishers	NOAA National Centers for Environmental Information
Acknowledgments	Related Funding Agency: US DOI, Bureau of Ocean Energy Management (BOEM) Related Funding Agency: US DOC; NOAA; NOS; National Centers for Coastal Ocean Science NCCOS Partners: Changming Dong, University of California NCCOS Partners: Andrew Moore, University of California, Santa Cruz

Theme keywords	NODC DATA TYPES THESAURUS BENTHIC SPECIES biological data CHLOROPHYLL CORAL CURRENT SPEED HABITAT HABITAT - BENTHIC MACROFAUNA REFLECTANCE SALINITY SALINITY - BOTTOM WATER seafloor topography SEDIMENT - GRAIN SIZE SPONGE SPECIES IDENTIFICATION SUBSTRATE DESCRIPTION WATER COLOR WATER TEMPERATURE WAVE DATA WAVE ENERGY WAVE HEIGHT NODC OBSERVATION TYPES THESAURUS model output WMO_CategoryCode oceanography Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > BIOLOGICAL CLASSIFICATION EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > ANIMALS/INVERTEBRATES > SPONGES EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS > BENTHIC EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY EARTH SCIENCE > OCEANS > MARINE SEDIMENTS EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL EARTH SCIENCE > OCEANS > OCEAN CIRCULATION > OCEAN CURRENTS EARTH SCIENCE > OCEANS > OCEAN OPTICS > OCEAN COLOR EARTH SCIENCE > OCEANS > OCEAN OPTICS > REFLECTANCE EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > WATER TEMPERATURE EARTH SCIENCE > OCEANS > OCEAN WAVES EARTH SCIENCE > OCEANS > OCEAN WAVES > WAVE HEIGHT EARTH SCIENCE > OCEANS > SALINITY/DENSITY > SALINITY EARTH SCIENCE > SOLID EARTH > GEOMORPHIC LANDFORMS/PROCESSES > COASTAL LANDFORMS > CORAL REEFS NCCOS Research Data Type NCCOS Research Data Type > Derived Data Product NCCOS Research Data Type > Geospatial NCCOS Research Data Type > Model NCCOS Research Priority NCCOS Research Priority > Marine Spatial Ecology NCCOS Research Topic NCCOS Research Topic > Ecological and Biogeographic Assessments NCCOS Research Topic > Habitat Mapping Provider Keywords Habitat Suitability
Data Center keywords	NODC COLLECTING INSTITUTION NAMES THESAURUS US DOC; NOAA; NOS; National Centers for Coastal Ocean Science NODC SUBMITTING INSTITUTION NAMES THESAURUS US DOC; NOAA; NOS; National Centers for Coastal Ocean Science Global Change Master Directory (GCMD) Data Center Keywords DOC/NOAA/NOS/NCCOS > National Centers for Coastal Ocean Science, National Ocean Service, NOAA, U.S. Department of Commerce
Instrument keywords	Provider Instruments Models/Analyses > Data Analysis > Environmental Modeling
Place keywords	NODC SEA AREA NAMES THESAURUS Channel Islands National Marine Sanctuary Cordell Bank National Marine Sanctuary Greater Farallones National Marine Sanctuary Monterey Bay National Marine Sanctuary Olympic Coast National Marine Sanctuary Global Change Master Directory (GCMD) Location Keywords OCEAN > PACIFIC OCEAN > NORTH PACIFIC OCEAN NCCOS Research Location NCCOS Research Location > Region > Pacific Ocean NCCOS Research Location > U.S. States and Territories > California NCCOS Research Location > U.S. States and Territories > Oregon NCCOS Research Location > U.S. States and Territories > Washington Provider Place Names Channel Islands National Marine Sanctuary Coastal Ocean Continental Shelf Cordell Bank National Marine Sanctuary Eastern Pacific Greater Farallones National Marine Sanctuary Monterey Bay National Marine Sanctuary Olympic Coast National Marine Sanctuary Southern California Bight
Project keywords	NCCOS Project Keywords NCCOS Project: Characterizing Potential Distributions of Deep-Sea Corals, Sponges, and Macrofauna Offshore of the U.S. West Coast
Keywords	NCEI ACCESSION NUMBER 0276883 276883

Use Constraints	Cite as: Poti, Matthew; Henkel, Sarah; Bizzarro, Joseph J.; Hourigan, Thomas F.; Clarke, M. Elizabeth; Whitmire, Curt E.; Powell, Abigail; Yoklavich, Mary M.; Bauer, Laurie; Winship, Arliss J.; Coyne, Michael; Gillett, David J.; Gilbane, Lisa; Christensen, John; Jeffrey, Christopher F.G. (2023). NCCOS Assessment: U.S. West Coast Cross-Shelf Habitat Suitability Modeling of Deep-Sea Corals and Sponges, 2016-10-01 to 2020-09-30 (NCEI Accession 0276883). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/5e50-g162. Accessed [date].
Access Constraints	Use liability: NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose.
Fees	In most cases, electronic downloads of the data are free. However, fees may apply for custom orders, data certifications, copies of analog materials, and data distribution on physical media.

Lineage information for: dataset
Processing Steps	2023-03-15T18:16:15Z - NCEI Accession 0276883 v1.1 was published.
Output Datasets	NCEI Accession 0276883 v1.1 NCEI Accession 0276883 v1.1 (download) published 2023-03-15T18:16:15Z

Lineage information for: dataset
Processing Steps	Parameter or Variable: Habitat Suitability (calculated); Units: N/A; Observation Category: model output; Sampling Instrument: Models/Analyses > Data Analysis > Environmental Modeling; Sampling and Analyzing Method: Records of deep-sea coral and sponge occurrence (presences) were obtained from the NOAA National Database for Deep-Sea Corals and Sponges (McGuinn et al. 2020). Maximum entropy (Maxent) models were generated to estimate relationships between occurrence and spatial environmental predictor variables depicting seafloor topography, substrate, oceanography, and geography. Models were used to predict and map habitat suitability for 31 taxa of deep-sea corals and 15 taxa of sponge taxon across the entire study area. For 22 taxa of deep-sea corals considered to be associated with hard substrate, maps of habitat suitability were combined to create maps depicting the number of taxa of deep-sea corals associated with hard substrate that have ‘high’ habitat suitability or ‘robust high’ habitat suitability at each grid cell. For more details, see Poti et al. (2020).; Data Quality Method: Non-parametric bootstrapping was used to estimate variability (uncertainty) in predicted habitat suitability. The mean habitat suitability from 100 bootstrapped model predictions was selected as the best estimate of habitat suitability. The coefficient of variation (CV) of the 100 bootstrapped predictions was calculated as a measure of variability in model predictions at each grid cell. To allow comparisons of predicted habitat suitability across taxa, the mean habitat suitability was classified into a map with four habitat suitability classes (‘very low’, ‘low’, ‘medium’, ‘high’) using a series of breakpoints identified through receiver operating curve analysis. A map of ‘robust high’ habitat suitability identified grid cells for which all 100 bootstrapped predictions were classified in the high habitat suitability class. Maps of habitat suitability were reviewed by study authors and collaborators with expertise in the ecology of deep-sea corals and sponges. In addition, data collected by study authors and collaborators was used to demonstrate how models could be validated. See Poti et al. (2020) for details..

Lineage information for: dataset

Processing Steps

Parameter or Variable: Habitat Suitability (calculated); Units: N/A; Observation Category: model output; Sampling Instrument: Models/Analyses > Data Analysis > Environmental Modeling; Sampling and Analyzing Method: Records of deep-sea coral and sponge occurrence (presences) were obtained from the NOAA National Database for Deep-Sea Corals and Sponges (McGuinn et al. 2020). Maximum entropy (Maxent) models were generated to estimate relationships between occurrence and spatial environmental predictor variables depicting seafloor topography, substrate, oceanography, and geography. Models were used to predict and map habitat suitability for 31 taxa of deep-sea corals and 15 taxa of sponge taxon across the entire study area. For 22 taxa of deep-sea corals considered to be associated with hard substrate, maps of habitat suitability were combined to create maps depicting the number of taxa of deep-sea corals associated with hard substrate that have ‘high’ habitat suitability or ‘robust high’ habitat suitability at each grid cell. For more details, see Poti et al. (2020).; Data Quality Method: Non-parametric bootstrapping was used to estimate variability (uncertainty) in predicted habitat suitability. The mean habitat suitability from 100 bootstrapped model predictions was selected as the best estimate of habitat suitability. The coefficient of variation (CV) of the 100 bootstrapped predictions was calculated as a measure of variability in model predictions at each grid cell. To allow comparisons of predicted habitat suitability across taxa, the mean habitat suitability was classified into a map with four habitat suitability classes (‘very low’, ‘low’, ‘medium’, ‘high’) using a series of breakpoints identified through receiver operating curve analysis. A map of ‘robust high’ habitat suitability identified grid cells for which all 100 bootstrapped predictions were classified in the high habitat suitability class. Maps of habitat suitability were reviewed by study authors and collaborators with expertise in the ecology of deep-sea corals and sponges. In addition, data collected by study authors and collaborators was used to demonstrate how models could be validated. See Poti et al. (2020) for details..

Last Modified: 2023-08-30T13:20:03Z
For questions about the information on this page, please email: ncei.info@noaa.gov

NCCOS Assessment: U.S. West Coast Cross-Shelf Habitat Suitability Modeling of Deep-Sea Corals and Sponges, 2016-10-01 to 2020-09-30 (NCEI Accession 0276883)

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