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.
About this Dataset
| Title | NCCOS Assessment: Groundfish biodiversity hotspots off the Pacific Coast of Oregon from 1971-09-05 to 2010-09-20 (NCEI Accession 0156467) |
|---|---|
| Description | 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. |
| Modified | 2025-11-19T15:47:49.214Z |
| Publisher Name | N/A |
| Contact | N/A |
| Keywords | 0156467 , FISH BIOMASS , FISH SPECIES , FISHERY SURVEY , species abundance , model output , NOAA National Centers for Coastal Ocean Science , Coastal Waters of Washington/Oregon , North Pacific Ocean , oceanography , DOC/NOAA/NOS/NCCOS > National Centers for Coastal Ocean Science, National Ocean Service, NOAA, U.S. Department of Commerce , Spatial Analysis of Groundfish to Support Oregon’s Territorial Sea Plan , EARTH SCIENCE > AGRICULTURE > AGRICULTURAL AQUATIC SCIENCES > FISHERIES , EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > ANIMALS/VERTEBRATES > FISH , Predictive/Spatial Modeling , Marine Spatial Ecology > Ecological and Biogeographic Assessments , Derived Data Product , Geospatial , Model , Groundfish abundance , Groundfish biomass , Groundfish species number , Nearshore groundfish abundance , OCEAN > PACIFIC OCEAN > NORTH PACIFIC OCEAN , Geographic Area > Coastal Ocean , Geographic Area > Continental Shelf , Geographic Area > Deep Sea , Region > West Coast , U.S. States and Territories > Oregon , California Current , Eastern Pacific , Pacific Northwest , 1F4JYX , environment , oceans , biota |
{
"identifier": "gov.noaa.nodc:0156467",
"accessLevel": "public",
"contactPoint": {
"@type": "vcard:Contact",
"fn": "Your contact point",
"hasEmail": "mailto:[email protected]"
},
"programCode": [
"010:000"
],
"landingPage": "",
"title": "NCCOS Assessment: Groundfish biodiversity hotspots off the Pacific Coast of Oregon from 1971-09-05 to 2010-09-20 (NCEI Accession 0156467)",
"description": "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.\n\nAreas 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\u2019s 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.",
"language": "",
"distribution": [
{
"@type": "dcat:Distribution",
"mediaType": "application\/json",
"accessURL": "https:\/\/www.ncei.noaa.gov\/metadata\/geoportal\/\/rest\/metadata\/item\/gov.noaa.nodc%3A0156467"
},
{
"@type": "dcat:Distribution",
"mediaType": "text\/html",
"accessURL": "https:\/\/www.ncei.noaa.gov\/metadata\/geoportal\/\/rest\/metadata\/item\/gov.noaa.nodc%3A0156467\/html"
},
{
"@type": "dcat:Distribution",
"mediaType": "application\/xml",
"accessURL": "https:\/\/www.ncei.noaa.gov\/metadata\/geoportal\/\/rest\/metadata\/item\/gov.noaa.nodc%3A0156467\/xml"
},
{
"@type": "dcat:Distribution",
"mediaType": "application\/octet-stream",
"accessURL": "https:\/\/www.ncei.noaa.gov\/access\/metadata\/landing-page\/bin\/gfx?id=gov.noaa.nodc:0156467"
}
],
"bureauCode": [
"010:04"
],
"modified": "2025-11-19T15:47:49.214Z",
"publisher": {
"@type": "org:Organization",
"name": "Your Publisher"
},
"theme": "",
"keyword": [
"0156467",
"FISH BIOMASS",
"FISH SPECIES",
"FISHERY SURVEY",
"species abundance",
"model output",
"NOAA National Centers for Coastal Ocean Science",
"Coastal Waters of Washington\/Oregon",
"North Pacific Ocean",
"oceanography",
"DOC\/NOAA\/NOS\/NCCOS > National Centers for Coastal Ocean Science, National Ocean Service, NOAA, U.S. Department of Commerce",
"Spatial Analysis of Groundfish to Support Oregon\u2019s Territorial Sea Plan",
"EARTH SCIENCE > AGRICULTURE > AGRICULTURAL AQUATIC SCIENCES > FISHERIES",
"EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > ANIMALS\/VERTEBRATES > FISH",
"Predictive\/Spatial Modeling",
"Marine Spatial Ecology > Ecological and Biogeographic Assessments",
"Derived Data Product",
"Geospatial",
"Model",
"Groundfish abundance",
"Groundfish biomass",
"Groundfish species number",
"Nearshore groundfish abundance",
"OCEAN > PACIFIC OCEAN > NORTH PACIFIC OCEAN",
"Geographic Area > Coastal Ocean",
"Geographic Area > Continental Shelf",
"Geographic Area > Deep Sea",
"Region > West Coast",
"U.S. States and Territories > Oregon",
"California Current",
"Eastern Pacific",
"Pacific Northwest",
"1F4JYX",
"environment",
"oceans",
"biota"
]
}