The Ocean Archive System searches our original datasets as they were submitted to us, not individual points or profiles. If you want to search and retrieve ocean profiles in a common format, or objectively analyzed fields, your better option may be to use one of our project applications. See: Access Data
OAS accession Detail for 0226141
| << previous | |revision: 3 |
| accessions_id: | 0226141 | archive |
|---|---|
| Title: | 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) |
| Abstract: | 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). |
| Date received: | 20210107 |
| Start date: | 20030101 |
| End date: | 20171231 |
| Seanames: | |
| West boundary: | -97.5 |
| East boundary: | -69.2 |
| North boundary: | 44.8 |
| South boundary: | 24.2 |
| Observation types: | |
| Instrument types: | |
| Datatypes: | |
| Submitter: | |
| Submitting institution: | US DOC; NOAA; NOS; National Centers for Coastal Ocean Science |
| Collecting institutions: | |
| Contributing projects: | |
| Platforms: | |
| Number of observations: | |
| Supplementary information: | The various Gulf of Mexico and South Atlantic species distribution models depict either probability of presence or relative abundance (i.e., catch per unit effort) given a standardized survey. Predictive species distribution models were created by NOAA/NCCOS in coordination with the Bureau of Ocean Energy Management as source information for planning and environmental assessments. Methods: Raster data are derived from species distribution models, which are based on statistical species-habitat relationships (Guisan and Zimmermann 2000; Robinson et al. 2011). All species distribution models were developed based on fishery-independent survey data from 2003-2017 combined with remote sensing data on oceanographic conditions, substrate, geography, prey species, and the surrounding ecosystems of wetlands and estuaries (see Pickens and Taylor 2020 for predictor variable descriptions, modeling details, and results). All predictive models were assessed with independent validation data with accuracy measures reported in Pickens and Taylor (2020). The extent of analysis includes U.S. federal waters seaward of the U.S. Submerged Lands Act Boundary to a maximum depth of 50 m in the Gulf of Mexico and U.S. Atlantic Ocean. Submission Package ID: L816UX |
| Availability date: | |
| Metadata version: | 3 |
| Keydate: | 2021-03-04 02:33:18+00 |
| Editdate: | 2021-03-08 02:23:51+00 |