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Review of run size estimates for the Nass River system : chinook, sockeye, and coho salmon, and summer-run steelhead : part 2 - Bayesian capture-recapture model / Carl James Schwarz, Richard Alexander,...Fs97-6/3774E-PDF

"This is the second part of a review of the capture-recapture methodology used to estimate abundance of Chinook, Coho, and Sockeye salmon and summer-run steelhead on the Nass River, British Columbia... The Bayesian model is described in general terms (and mathematically in the Appendix). It is applied to the 2021 data and the results are compared to the estimates computed using the current methods. Point estimates of the run sizes were very similar but as expected, estimates of uncertainty were slightly larger from the Bayesian model for Chinook, Coho, and steelhead run size estimates and substantially larger for estimates of run size for Sockeye Salmon. Hindcasts back to 1999 showed the same pattern. Further, sex-, length- and time-stratified and unstratified estimates show little difference when realistic uncertainty is incorporated"--Abstract, page ix.

Permanent link to this Catalogue record:
publications.gc.ca/pub?id=9.962129&sl=0

Publication information
Department/Agency
  • Canada. Department of Fisheries and Oceans. Pacific Region. Science Branch, issuing body.
TitleReview of run size estimates for the Nass River system : chinook, sockeye, and coho salmon, and summer-run steelhead : part 2 - Bayesian capture-recapture model / Carl James Schwarz, Richard Alexander, Charmaine Carr-Harris, Ian Beveridge, Cameron Noble, Chelsea May.
Series title
  • Canadian technical report of fisheries and aquatic sciences, 1488-5379 ; 3774
Publication typeMonograph - View Master Record
Language[English]
FormatDigital text
Electronic document
Note(s)
  • Includes bibliographical references (pages 26-27).
  • Includes abstract in French.
Publishing information
  • Prince Rupert, British Columbia : Fisheries and Oceans Canada, Science Branch, Pacific Region, 2026.
  • ©2026
Author / Contributor
  • Schwarz, Carl James,1956- author.
Description1 online resource (x, 71 pages) : charts, maps.
ISBN9780660996769
Catalogue number
  • Fs97-6/3774E-PDF
Subject terms
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