Joint spatiotemporal models to predict seabird densities at sea

Details

• Journal Title:
  Frontiers in Marine Science
• Personal Author:
  Arimitsu, M.L. ; Piatt, J.F. ; Thorson, J.T. ; Kuletz, K.J. ; Drew, G.S. ; Schoen, S.K. ; Cushing, D.A. ; Kroeger, C. ; Sydeman, W.J.
• NOAA Program & Office:
  NMFS (National Marine Fisheries Service) ; AFSC (Alaska Fisheries Science Center)
• Description:
  Seabirds are abundant, conspicuous members of marine ecosystems worldwide. Synthesis of distribution data compiled over time is required to address regional management issues and understand ecosystem change. Major challenges when estimating seabird densities at sea arise from variability in dispersion of the birds, sampling effort over time and space, and differences in bird detection rates associated with survey vessel type.
• Keywords:
  • Species distribution models (SDM)
  • Marine bird distribution
  • Marine bird surveys
  • Detection factor
  • Decadal scale change
• Source:
  Front. Mar. Sci. 10:1078042
• DOI:
  https://doi.org/10.3389/fmars.2023.1078042
• Format:
  PDF
• Document Type:
  Journal Article
• Place as Subject:
  Cook Inlet (Alaska) ; Alaska, Gulf of (Alaska)
• License:
  https://creativecommons.org/licenses/by/4.0/
• Rights Information:
  CC BY
• Compliance:
  Submitted
• Download URL:
  https://repository.library.noaa.gov/view/noaa/48934/noaa_48934_DS1.pdf
• File Type:
  [PDF - 2.17 MB]
• Collection(s):
  National Marine Fisheries Service (NMFS)
• Main Document Checksum:
  urn:sha256:af6a373f2b3d7cf5d0208ca9f80b1142a2e119e76be95c0d13101a5172f181a3