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Dataset Overview | National Centers for Environmental Information (NCEI)

NCCOS Assessment: U.S. West Coast Cross-Shelf Habitat Suitability Modeling of Benthic Macrofauna, 2016-10-01 to 2020-09-30 (NCEI Accession 0276535)

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This data collection contains geospatial data from models predicting the spatial distributions of benthic macrofauna offshore of the continental U.S. West Coast to 1200 m depth. It includes raster datasets at 25 x 25 m spatial resolution depicting the mean of the predicted probability of occurrence and the coefficient of variation of the predicted probability of occurrence for 43 taxa of benthic macrofauna. The data collection also includes raster datasets at 25 x 25 m spatial resolution depicting each of the 66 spatial environmental predictor variables considered for fitting the models.
  • Cite as: Poti, Matthew; Henkel, Sarah K.; 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 Benthic Macrofauna, 2016-10-01 to 2020-09-30 (NCEI Accession 0276535). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/h9kg-0897. Accessed [date].
gov.noaa.nodc:0276535
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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: -125.760182
East: -115
South: 31.8968286
North: 47.5452954
Spatial Coverage Map
General Documentation
Associated Resources
Publication Dates
  • publication: 2023-02-15
  • revision: 2023-02-17
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: G13EGR

In this accession, NCEI has archived multiple versions of these data. The latest (and best) version of these data has the largest version number.
Purpose The Pacific Outer Continental Shelf (OCS) Region includes an extensive area offshore of California, Oregon, and Washington for which the US 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 benthic macrofauna, 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 U.S. Department of Commerce National Oceanic and Atmospheric Administration (NOAA) National Ocean Service (NOS) National Centers for Coastal Ocean Science (NCCOS) and Dr. Sarah Henkel from Oregon State University (OSU) to develop habitat suitability models predicting spatial distributions of suitable habitat for benthic macrofauna. The objectives of this study were to collect and compile observations of benthic macrofauna 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. 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 K.; 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 Benthic Macrofauna, 2016-10-01 to 2020-09-30 (NCEI Accession 0276535). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/h9kg-0897. Accessed [date].
Cited Authors
Principal Investigators
Collaborators
Contributors
Resource Providers
Points of Contact
Publishers
Acknowledgments
  • Related Funding Agency: US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS)
  • Related Funding Agency: US DOI; Bureau of Ocean Energy Management (BOEM)
  • NCCOS Partners: Changming Dong, University of California, Los Angeles; Andrew Moore, University of California, Santa Cruz
Theme keywords NODC DATA TYPES THESAURUS NODC OBSERVATION TYPES THESAURUS WMO_CategoryCode
  • oceanography
Global Change Master Directory (GCMD) Science Keywords NCCOS Research Data Type
  • NCCOS Research Data Type > Derived Data Product
  • NCCOS Research Data Type > Geospatial
  • NCCOS Research Data Type > Model
NCCOS Research Keywords
  • NCCOS Research Priority > Marine Spatial Ecology
  • NCCOS Research Topic > Ecological and Biogeographic Assessments
  • NCCOS Research Topic > Habitat Mapping
Provider Keywords
  • Habitat Suitability
Data Center keywords NODC COLLECTING INSTITUTION NAMES THESAURUS NODC SUBMITTING INSTITUTION NAMES THESAURUS Global Change Master Directory (GCMD) Data Center Keywords
Instrument keywords Provider Instruments
  • Models/Analyses > Data Analysis > Environmental Modeling
Place keywords NODC SEA AREA NAMES THESAURUS Global Change Master Directory (GCMD) Location Keywords 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
  • Coastal Ocean
  • Continental Shelf
  • Eastern Pacific
  • Southern California Bight
Project keywords Provider Project Names
  • Characterizing Potential Distributions of Deep-Sea Corals, Sponges, and Macrofauna Offshore of the U.S. West Coast
  • Cross-Shelf Habitat Suitability Modeling for Benthic Macrofauna
Keywords NCEI ACCESSION NUMBER
Use Constraints
  • Cite as: Poti, Matthew; Henkel, Sarah K.; 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 Benthic Macrofauna, 2016-10-01 to 2020-09-30 (NCEI Accession 0276535). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/h9kg-0897. 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
  • 2023-02-15T21:20:27Z - NCEI Accession 0276535 v1.1 was published.
  • 2023-02-17T23:48:37Z - NCEI Accession 0276535 was revised and v2.2 was published.
    Rationale: Updates were received for this dataset. These updates were copied into the data/0-data/ directory of this accession. These updates may provide additional files or replace obsolete files. This version contains the most complete and up-to-date representation of this archival information package. All of the files received prior to this update are available in the preceding version of this accession.
Output Datasets
Lineage information for: dataset
Processing Steps
  • Parameter or Variable: Habitat Suitability (calculated); Units: none; Observation Category: model output; Sampling Instrument: Models/Analyses > Data Analysis > Environmental Modeling; Sampling and Analyzing Method: Records of macrofauna occurrence (presence-absence) from sampling stations were obtained from Dr. Sarah Henkel (OSU) and Dr. David Gillett (SCCWRP). Boosted regression tree (BRT) 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 (i.e., probability of occurrence) for 43 taxa of benthic macrofauna across the entire study area. 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. Maps of habitat suitability were reviewed by study authors and collaborators with expertise in the ecology of benthic macrofauna. See Poti et al. (2020) for details..
Last Modified: 2024-04-19T15:54:08Z
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