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    • Predicted distribution of federally managed fish in the Gulf of Mexico and South Atlantic from 2003-01-01 to 2017-12-31 (NCEI Accession 0226141)

    Metadata Updated: June 1, 2025

    Raster data are derived from species distribution models, which are based on statistical species-habitat relationships (Guisan and Zimmermann 2000; Robinson et al. 2011). For Gulf of Mexico species, these data represent either probability of occurrence (pink shrimp Farfantepenaeus duorarum, red snapper Lutjanus campechanus age-1, lane snapper Lutjanus synagris age-0, lane snapper age-1, spinner shark Carcharhinus brevipinna, blacktip shark Carcharhinus limbatus) or relative abundance (brown shrimp Farfantepenaeus aztecus, white shrimp Litopenaeus setiferus, red snapper age-0, Atlantic sharpnose shark Rhizoprionodon terraenovae) given a standardized survey. For South Atlantic species, these data represent probability of occurrence for red snapper (adults), black sea bass Centropristis striata (juvenile and adults), blacknose shark Carcharhinus acronotus, sandbar shark Carcharhinus plumbeus, and tiger shark Galeocerdo cuvier given a standardized survey. Shark predictions of relative abundance are in units of individuals per 100 hooks per hour of bottom longline survey. Shrimp and red snapper age-0 relative abundance predictions are in units of individuals per kilometer of trawl survey. Shark distributions are representative of spring, summer, and fall seasons combined. Other species are depicted in either summer, fall, or summer and fall seasons combined. Further details are available in Pickens and Taylor (2020).

    Access & Use Information

    License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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    Dates

    Metadata Date 2025-05-16T15:33:04Z
    Metadata Created Date March 12, 2021
    Metadata Updated Date June 1, 2025
    Reference Date(s) March 12, 2021 (publication)
    Frequency Of Update asNeeded

    Metadata Source

    Harvested from NOAA/NESDIS/ncei/accessions

    Other Data Resources

    Graphic Preview

    Preview graphic

    Additional Metadata

    Resource Type Dataset
    Metadata Date 2025-05-16T15:33:04Z
    Metadata Created Date March 12, 2021
    Metadata Updated Date June 1, 2025
    Reference Date(s) March 12, 2021 (publication)
    Responsible Party (Point of Contact)
    Contact Email
    Guid gov.noaa.nodc:0226141
    Access Constraints Cite as: Pickens, Bradley; Taylor, J. Christopher (2021). Predicted distribution of federally managed fish in the Gulf of Mexico and South Atlantic from 2003-01-01 to 2017-12-31 (NCEI Accession 0226141). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/gezk-2t14. Accessed [date]., 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.
    Bbox East Long -69.2
    Bbox North Lat 44.8
    Bbox South Lat 24.2
    Bbox West Long -97.5
    Coupled Resource
    Frequency Of Update asNeeded
    Graphic Preview Description Preview graphic
    Graphic Preview File https://www.ncei.noaa.gov/access/metadata/landing-page/bin/gfx?id=gov.noaa.nodc:0226141
    Graphic Preview Type PNG
    Harvest Object Id ac73064f-62d7-4c58-8c5d-591b23b69217
    Harvest Source Id c084a438-6f6b-470d-93e0-16aeddb9f513
    Harvest Source Title NOAA/NESDIS/ncei/accessions
    Licence accessLevel: Public
    Lineage
    Metadata Language eng
    Metadata Type geospatial
    Old Spatial {"type": "Polygon", "coordinates": [[[-97.5, 24.2], [-69.2, 24.2], [-69.2, 44.8], [-97.5, 44.8], [-97.5, 24.2]]]}
    Progress completed
    Spatial Data Service Type
    Spatial Reference System
    Spatial Harvester True
    Temporal Extent Begin 2003-01-01
    Temporal Extent End 2017-12-31

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