NCCOS Assessment: Modeling At-Sea Density of Marine Birds to Support Atlantic Marine Renewable Energy Planning from 1978-2016 (NCEI Accession 0176682)
This dataset provides seasonal spatial rasters of median predicted long-term (1978-2016) relative density of 47 marine bird species throughout the US Atlantic Outer Continental Shelf (OCS) and adjacent waters at a 2-km spatial resolution. Three indications of the uncertainty associated with the model predictions are also provided: 1) seasonal spatial layers indicating areas with no survey effort, 2) seasonal spatial rasters of the precision of predicted relative density of each species characterized as its coefficient of variation (CV), and 3) seasonal spatial rasters of the precision of predicted relative density of each species characterized as its 90% confidence interval. Predicted relative density should always be considered in conjunction with these three indications of uncertainty. Suggested symbology class breaks and labels for mapping predicted relative density and its CV are also included. Finally, this dataset also includes spatial rasters of environmental predictor variables that were used in the predictive modeling.
Complete Metadata
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| description | This dataset provides seasonal spatial rasters of median predicted long-term (1978-2016) relative density of 47 marine bird species throughout the US Atlantic Outer Continental Shelf (OCS) and adjacent waters at a 2-km spatial resolution. Three indications of the uncertainty associated with the model predictions are also provided: 1) seasonal spatial layers indicating areas with no survey effort, 2) seasonal spatial rasters of the precision of predicted relative density of each species characterized as its coefficient of variation (CV), and 3) seasonal spatial rasters of the precision of predicted relative density of each species characterized as its 90% confidence interval. Predicted relative density should always be considered in conjunction with these three indications of uncertainty. Suggested symbology class breaks and labels for mapping predicted relative density and its CV are also included. Finally, this dataset also includes spatial rasters of environmental predictor variables that were used in the predictive modeling. |
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| identifier | gov.noaa.nodc:0176682 |
| issued | 2018-10-10T00:00:00.000+00:00 |
| keyword |
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"BIRDS",
"model output",
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"NOAA National Centers for Coastal Ocean Science",
"Gulf of Maine",
"Mid-Atlantic Bight",
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"BOEM Project: Integrative Statistical Modeling And Predictive Mapping Of Seabird Distribution And Abundance On The Atlantic Outer Continental Shelf",
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"EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > ANIMALS/VERTEBRATES > BIRDS",
"Marine Spatial Ecology > Ecological and Biogeographic Assessments",
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"Geospatial",
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"Models/Analysis > Data Analysis > Environmental Modeling",
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"Continent > North America > Canada",
"Continent > North America > United States Of America > Connecticut",
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| license | https://creativecommons.org/publicdomain/zero/1.0/ |
| modified | 2018-11-16T00:00:00.000+00:00 |
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| references |
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"https://espis.boem.gov/final%20reports/BOEM_2018-010.pdf",
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"https://www.ngdc.noaa.gov/ships/marcus_g_langseth/MGL1512_mb.html",
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"http://oceanexplorer.noaa.gov/okeanos/explorations/acumen12/summary/welcome.html",
"https://www.aviso.altimetry.fr/en/data/products/sea-surface-height-products/global/madt-h-uv.html",
"http://mgel.env.duke.edu/mget",
"http://www.sstfronts.org/opendap/",
"https://coastalscience.noaa.gov/project/statistical-modeling-marine-bird-distributions/",
"https://www.northeastoceandata.org/",
"http://portal.midatlanticocean.org/",
"https://repository.library.noaa.gov/view/noaa/18106",
"https://repository.library.noaa.gov/view/noaa/18109"
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|
| rights | otherRestrictions |
| spatial | -63.1,23.8,-83.0,44.8 |
| temporal | 1978-01-01T00:00:00+00:00/2016-10-05T00:00:00+00:00 |
| title | NCCOS Assessment: Modeling At-Sea Density of Marine Birds to Support Atlantic Marine Renewable Energy Planning from 1978-2016 (NCEI Accession 0176682) |