NCCOS Assessment: Groundfish biodiversity hotspots off the Pacific Coast of Oregon from 1971-09-05 to 2010-09-20 (NCEI Accession 0156467)
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abstract: 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.
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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dateType: (CI_DateTypeCode) publication
citedResponsibleParty: (CI_ResponsibleParty)
individualName: (inapplicable)
contactInfo: (CI_Contact)
onlineResource: (CI_OnlineResource)
linkage: https://www.ncei.noaa.gov/archive/accession/0156467/1.1
protocol: HTTPS
name: NCEI Accession 0156467 v1.1
description: published 2016-09-13T13:03:07Z
function: (CI_OnLineFunctionCode) download
role: (inapplicable)
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dataQualityInfo: (DQ_DataQuality)
scope: (DQ_Scope)
level: (MD_ScopeCode) dataset
lineage: (LI_Lineage)
processStep: (LE_ProcessStep)
description: Data Type: Groundfish abundance hotspot (calculated); Units: probability; Observation Type: model output; Sampling Instrument: documentation only - no instrument type; Sampling and Analyzing Method: The data describe spatially-explicit predicted long-term groundfish abundance hotspot probabilities. Predictions were made using at-sea groundfish observations collected from 1971 to 2010 and associative models linking species observations with environmental covariates. Classification accuracy is 74%.; Data Quality Information: Predictive biomass hotspot maps were reviewed and accepted by subject matter experts. Processing and analysis methods are described in the data documentation.
processStep: (LE_ProcessStep)
description: Data Type: Groundfish biomass hotspot (calculated); Units: probability; Observation Type: model output; Sampling Instrument: documentation only - no instrument type; Sampling and Analyzing Method: The data describe spatially-explicit predicted long-term groundfish biomass hotspot probabilities. Predictions were made using at-sea groundfish observations collected from 1971 to 2010 and associative models linking species observations with environmental covariates. Classification accuracy is 82%.; Data Quality Information: Predictive biomass hotspot maps were reviewed and accepted by subject matter experts. Processing and analysis methods are described in the data documentation.
processStep: (LE_ProcessStep)
description: Data Type: Groundfish species number hotspot (calculated); Units: probability; Observation Type: model output; Sampling Instrument: documentation only - no instrument type; Sampling and Analyzing Method: The data describe spatially-explicit predicted long-term groundfish species number hotspot probabilities. Predictions were made using at-sea groundfish observations collected from 1971 to 2010 and associative models linking species observations with environmental covariates. Classification accuracy is 64%.; Data Quality Information: Predictive biomass hotspot maps were reviewed and accepted by subject matter experts. Processing and analysis methods are described in the data documentation.
processStep: (LE_ProcessStep)
description: Data Type: Nearshore groundfish abundance hotspot (calculated); Units: probability; Observation Type: model output; Sampling Instrument: documentation only - no instrument type; Sampling and Analyzing Method: The data describe spatially-explicit predicted long-term nearshore groundfish abundance hotspot probabilities. Predictions were made using at-sea groundfish observations collected from 1971 to 2010 and associative models linking species observations with environmental covariates. Classification accuracy is 83%.; Data Quality Information: Predictive biomass hotspot maps were reviewed and accepted by subject matter experts. Processing and analysis methods are described in the data documentation.
processStep: (LE_ProcessStep)
description: Data Type: NCCOS Research Priority > Marine Spatial Ecology (MSE) (calculated); Units: n/a; Observation Type: other; Sampling Instrument: n/a.
processStep: (LE_ProcessStep)
description: Data Type: NCCOS Research Topic > Ecological/Biological Characterization (calculated); Units: n/a; Observation Type: other; Sampling Instrument: n/a.
processStep: (LE_ProcessStep)
description: Data Type: NCCOS Research Topic > Predictive/Spatial Modeling (calculated); Units: n/a; Observation Type: other; Sampling Instrument: n/a.
processStep: (LE_ProcessStep)
description: Data Type: NCCOS Research Location > Region > West Coast (calculated); Units: n/a; Observation Type: other; Sampling Instrument: n/a.
processStep: (LE_ProcessStep)
description: Data Type: NCCOS Research Location > U.S. States and Territories> Oregon (calculated); Units: n/a; Observation Type: other; Sampling Instrument: n/a.
processStep: (LE_ProcessStep)
description: Data Type: NCCOS Research Location > Geographic Area > Deep Sea (calculated); Units: n/a; Observation Type: other; Sampling Instrument: n/a.
processStep: (LE_ProcessStep)
description: Data Type: NCCOS Research Location > Geographic Area > Coastal Ocean (calculated); Units: n/a; Observation Type: other; Sampling Instrument: n/a.
processStep: (LE_ProcessStep)
description: Data Type: NCCOS Research Location > Geographic Area > Continental Shelf (calculated); Units: n/a; Observation Type: other; Sampling Instrument: n/a.
processStep: (LE_ProcessStep)
description: Data Type: NCCOS Research Data Type > Model (calculated); Units: n/a; Observation Type: other; Sampling Instrument: n/a.
processStep: (LE_ProcessStep)
description: Data Type: NCCOS Research Data Type > Geospatial (calculated); Units: n/a; Observation Type: other; Sampling Instrument: n/a.
processStep: (LE_ProcessStep)
description: Data Type: NCCOS Research Data Type > Derived Data Product (calculated); Units: n/a; Observation Type: other; Sampling Instrument: n/a.
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metadataMaintenance: (MD_MaintenanceInformation)
maintenanceAndUpdateFrequency: (MD_MaintenanceFrequencyCode) asNeeded
maintenanceNote: Metadata are developed, maintained and distributed by NCEI. Updates are performed as needed to maintain currentness.
contact: (CI_ResponsibleParty)
organisationName: NOAA National Centers for Environmental Information
role: (CI_RoleCode) custodian
