NCCOS Assessment: Groundfish biodiversity hotspots off the Pacific Coast of Oregon from 1971-09-05 to 2010-09-20 (NCEI Accession 0156467)
This data set comprises maps of predicted long-term groundfish biodiversity hotspot probabilities off the Pacific Coast of Oregon. Predicted hotspot probabilities are given for four biodiversity indices: 1) relative abundance, 2) relative biomass, and 3) species number for all groundfishes, and 4) relative abundance for only nearshore groundfishes. The nearshore species assemblage includes: Sand Sole, English Sole, Pacific Sanddab, Speckled Sanddab, Petrale Sole, Starry Flounder, and Butter Sole. Hotspots were defined as areas with predictions in the top 10% of values of at-sea observations.
Areas of relatively high biodiversity were predicted using at-sea groundfish observations collected from 1971 to 2010 and associative models linking species observations with environmental covariates. Groundfish observations were taken from existing fishery-independent trawl data collected by NOAA’s National Marine Fisheries Service and flatfish trawl data collected by the Oregon Department of Fish and Wildlife. Environmental predictors included position on the shelf, sea floor habitat, depth, slope, aspect, slope of slope, and oceanographic productivity were used to predict areas with relatively high groundfish biodiversity. Binary logistic regression trees were used to associate species observations with environmental covariates and predict categorical results (Hotspot/Low classes). Mapped values indicate the probability of a raster cell belonging in the hotspot class.
Areas of relatively high biodiversity were predicted using at-sea groundfish observations collected from 1971 to 2010 and associative models linking species observations with environmental covariates. Groundfish observations were taken from existing fishery-independent trawl data collected by NOAA’s National Marine Fisheries Service and flatfish trawl data collected by the Oregon Department of Fish and Wildlife. Environmental predictors included position on the shelf, sea floor habitat, depth, slope, aspect, slope of slope, and oceanographic productivity were used to predict areas with relatively high groundfish biodiversity. Binary logistic regression trees were used to associate species observations with environmental covariates and predict categorical results (Hotspot/Low classes). Mapped values indicate the probability of a raster cell belonging in the hotspot class.
Dataset Citation
- Cite as: Menza, Charles; Pittman, Simon; Clark, Randy; Bauer, Laurie; Fox, David; Donnellan, Michael; Merems, Arlene (2016). NCCOS Assessment: Groundfish biodiversity hotspots off the Pacific Coast of Oregon from 1971-09-05 to 2010-09-20 (NCEI Accession 0156467). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.7289/v5mk69z3. Accessed [date].
Dataset Identifiers
ISO 19115-2 Metadata
gov.noaa.nodc:0156467
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NOAA National Centers for Environmental Information +1-301-713-3277 NCEI.Info@noaa.gov |
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Time Period | 1971-09-05 to 2010-09-20 |
Spatial Bounding Box Coordinates |
West: -126
East: -123
South: 40
North: 48.7
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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: 1F4JYX |
Purpose | This data set was used to support the Oregon Territorial Sea Plan. It was used to define ecologically important areas in the Nearshore Ecological Data Atlas Marxan Analysis conducted by The Nature Conservancy of Oregon. |
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Last Modified: 2023-08-30T12:34:04Z
For questions about the information on this page, please email: ncei.info@noaa.gov
For questions about the information on this page, please email: ncei.info@noaa.gov