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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Josh Adams</dc:contributor>
  <dc:contributor>Lisa T Ballance</dc:contributor>
  <dc:contributor>Michael Coyne</dc:contributor>
  <dc:contributor>Jonathan J. Felis</dc:contributor>
  <dc:contributor>Trevor Joyce</dc:contributor>
  <dc:contributor>David M. Pereksta</dc:contributor>
  <dc:contributor>Arliss J Winship</dc:contributor>
  <dc:contributor>Christopher F G Jeffrey</dc:contributor>
  <dc:contributor>David G. Ainley</dc:contributor>
  <dc:contributor>Donald Croll</dc:contributor>
  <dc:contributor>Joseph R. Evenson</dc:contributor>
  <dc:contributor>Jaime Jahncke</dc:contributor>
  <dc:contributor>William McIver</dc:contributor>
  <dc:contributor>Peter I Miller</dc:contributor>
  <dc:contributor>Scott Pearson</dc:contributor>
  <dc:contributor>Craig Strong</dc:contributor>
  <dc:contributor>William J. Sydeman</dc:contributor>
  <dc:contributor>Jeannette E Waddell</dc:contributor>
  <dc:contributor>Jeannette E. Zamon</dc:contributor>
  <dc:contributor>John D. Christensen</dc:contributor>
  <dc:creator>Jeffery Leirness</dc:creator>
  <dc:date>2021</dc:date>
  <dc:description>&lt;p&gt;This report describes the at-sea spatial distributions of marine birds in Pacific OCS waters off the contiguous U.S. (Figure 1.1) to inform marine spatial planning in the region. The goal was to estimate long-term average spatial distributions for marine bird species using all available science-quality transect survey data and numerous bathymetric, oceanographic, and atmospheric predictor variables. We developed seasonal habitat-based spatial models of the at-sea distribution for 33 individual species and 13 taxonomic groups of marine birds throughout the study region. A statistical modeling framework was used to estimate numerical relationships between bird sighting data (i.e., standardized counts) and a range of temporal (e.g., Pacific Decadal Oscillation [PDO] index), spatially static (e.g., depth), and spatially dynamic (e.g., sea surface chlorophyll-a concentration) environmental variables. The estimated relationships were then used to predict spatially explicit long-term average density (individuals per km&lt;sup&gt;2&lt;/sup&gt;) throughout the study area for each species/group in each of four seasons. Bird sighting data came from multiple scientific survey programs and consisted of at-sea counts of birds collected between 1980 and 2017 using boat-based and fixed-wing aerial transect survey methods. Spatial environmental variables were derived from remote sensing satellite data and an ocean dynamics model.&lt;/p&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:language>en</dc:language>
  <dc:publisher>Bureau of Ocean Energy Management</dc:publisher>
  <dc:title>Modeling at-sea density of marine birds to support renewable energy planning on the Pacific outer continental shelf of the contiguous United States</dc:title>
  <dc:type>reports</dc:type>
</oai_dc:dc>