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2023-08-30T12:34:04Z
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NCCOS Assessment: Groundfish biodiversity hotspots off the Pacific Coast of Oregon from 1971-09-05 to 2010-09-20 (NCEI Accession 0156467)
2016-09-13
publication
International DOI Foundation (IDF)
10.7289/v5mk69z3
NOAA National Centers for Environmental Information
gov.noaa.nodc:0156467
NCEI Archive Management System
0156467
NOAA National Centers for Environmental Information
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US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS)
NCCOS.data@noaa.gov
http://coastalscience.noaa.gov/
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US DOC; NOAA; NOS; National Centers for Coastal Ocean Science website
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Charles Menza
US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS)
NCCOS.data@noaa.gov
http://coastalscience.noaa.gov/
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US DOC; NOAA; NOS; National Centers for Coastal Ocean Science website
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principalInvestigator
Simon Pittman
US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS)
NCCOS.data@noaa.gov
collaborator
Randy Clark
US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS)
NCCOS.data@noaa.gov
http://coastalscience.noaa.gov/
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US DOC; NOAA; NOS; National Centers for Coastal Ocean Science website
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information
collaborator
Laurie Bauer
US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS)
NCCOS.data@noaa.gov
collaborator
David Fox
State of Oregon; Oregon Department of Fish and Wildlife
collaborator
Michael Donnellan
State of Oregon; Oregon Department of Fish and Wildlife
collaborator
Arlene Merems
State of Oregon; Oregon Department of Fish and Wildlife
collaborator
Menza, Charles
US DOC; NOAA; NOS; National Centers for Coastal Ocean Science; Center for Coastal Monitoring and Assessment
ccma@noaa.gov
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US DOC; NOAA; NOS; National Centers for Coastal Ocean Science; Center for Coastal Monitoring and Assessment website
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author
Pittman, Simon
author
Clark, Randy
US DOC; NOAA; NOS; National Centers for Coastal Ocean Science; Center for Coastal Monitoring and Assessment
ccma@noaa.gov
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author
Bauer, Laurie
author
Fox, David
author
Donnellan, Michael
author
Merems, Arlene
author
tableDigital
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.
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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0156467
NCEI ACCESSION NUMBER
2016-08-30
publication
FISH BIOMASS
FISH SPECIES
FISHERY SURVEY
species abundance
theme
NODC DATA TYPES THESAURUS
model output
theme
NODC OBSERVATION TYPES THESAURUS
US DOC; NOAA; NOS; National Centers for Coastal Ocean Science
dataCentre
NODC SUBMITTING INSTITUTION NAMES THESAURUS
Coastal Waters of Washington/Oregon
North Pacific Ocean
place
NODC SEA AREA NAMES THESAURUS
oceanography
theme
WMO_CategoryCode
2012-09-15
publication
DOC/NOAA/NOS/NCCOS > National Centers for Coastal Ocean Science, National Ocean Service, NOAA, U.S. Department of Commerce
dataCentre
Global Change Master Directory (GCMD) Data Center Keywords
2023
revision
17
Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA)
Greenbelt
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Global Change Master Directory (GCMD). 2023. GCMD Keywords, Version 17. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords
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Spatial Analysis of Groundfish to Support Oregon’s Territorial Sea Plan
project
Project Names
EARTH SCIENCE > AGRICULTURE > AGRICULTURAL AQUATIC SCIENCES > FISHERIES
EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > ANIMALS/VERTEBRATES > FISH
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Global Change Master Directory (GCMD) Science Keywords
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Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA)
Greenbelt
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Global Change Master Directory (GCMD). 2023. GCMD Keywords, Version 17. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords
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NCCOS Research Data Type > Derived Data Product
NCCOS Research Data Type > Geospatial
NCCOS Research Data Type > Model
NCCOS Research Priority > Marine Spatial Ecology (MSE)
NCCOS Research Topic > Ecological/Biological Characterization
NCCOS Research Topic > Predictive/Spatial Modeling
theme
NCCOS Keywords
Groundfish abundance
Groundfish biomass
Groundfish species number
Nearshore groundfish abundance
theme
Provider Keywords
OCEAN > PACIFIC OCEAN > NORTH PACIFIC OCEAN
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Global Change Master Directory (GCMD) Location Keywords
2023
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17
Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA)
Greenbelt
MD
https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords
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GCMD Keyword Forum Page
Global Change Master Directory (GCMD). 2023. GCMD Keywords, Version 17. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords
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NCCOS Research Location > Geographic Area > Coastal Ocean
NCCOS Research Location > Geographic Area > Continental Shelf
NCCOS Research Location > Geographic Area > Deep Sea
NCCOS Research Location > Region > West Coast
NCCOS Research Location > U.S. States and Territories > Oregon
place
NCCOS Location Keywords
California Current
Eastern Pacific
Pacific Northwest
place
Provider Place Names
accessLevel: Public
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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].
Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives.
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Spatial Analysis of Groundfish to Support Oregon’s Territorial Sea Plan
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http://coastalscience.noaa.gov/projects/detail?key=90
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Spatial Analysis of Groundfish to Support Oregon’s Territorial Sea Plan
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crossReference
Biogeographic Assessment: Oregon Groundfish Biodiversity Hotspot Predictions (Map Server)
publication
http://www.ncddc.noaa.gov/arcgis/rest/services/BiogeographicAssessments/NCCOS_OregonGroundfishBiodiversityHotspotPredictions/MapServer
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Biogeographic Assessment: Oregon Groundfish Biodiversity Hotspot Predictions (Map Server)
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eng; USA
utf8
environment
oceans
biota
-126
-123
40
48.7
1971-09-05
2010-09-20
Submission Package ID: 1F4JYX
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https://doi.org/10.7289/v5mk69z3
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NCEI Accession 0156467 v1.1 was published.
2016-09-13T13:03:07Z
NCEI Accession 0156467 v1.1
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NCEI Accession 0156467 v1.1
published 2016-09-13T13:03:07Z
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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.
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.
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.
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.
Data Type: NCCOS Research Priority > Marine Spatial Ecology (MSE) (calculated); Units: n/a; Observation Type: other; Sampling Instrument: n/a.
Data Type: NCCOS Research Topic > Ecological/Biological Characterization (calculated); Units: n/a; Observation Type: other; Sampling Instrument: n/a.
Data Type: NCCOS Research Topic > Predictive/Spatial Modeling (calculated); Units: n/a; Observation Type: other; Sampling Instrument: n/a.
Data Type: NCCOS Research Location > Region > West Coast (calculated); Units: n/a; Observation Type: other; Sampling Instrument: n/a.
Data Type: NCCOS Research Location > U.S. States and Territories> Oregon (calculated); Units: n/a; Observation Type: other; Sampling Instrument: n/a.
Data Type: NCCOS Research Location > Geographic Area > Deep Sea (calculated); Units: n/a; Observation Type: other; Sampling Instrument: n/a.
Data Type: NCCOS Research Location > Geographic Area > Coastal Ocean (calculated); Units: n/a; Observation Type: other; Sampling Instrument: n/a.
Data Type: NCCOS Research Location > Geographic Area > Continental Shelf (calculated); Units: n/a; Observation Type: other; Sampling Instrument: n/a.
Data Type: NCCOS Research Data Type > Model (calculated); Units: n/a; Observation Type: other; Sampling Instrument: n/a.
Data Type: NCCOS Research Data Type > Geospatial (calculated); Units: n/a; Observation Type: other; Sampling Instrument: n/a.
Data Type: NCCOS Research Data Type > Derived Data Product (calculated); Units: n/a; Observation Type: other; Sampling Instrument: n/a.
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