00000cam 2200000zi 4500 9.962129 CaOODSP 20260525144544 m o d f cr cn |||||||| 260423t20262026onc o f000 0 eng d 9780660996769 CaOODSP eng rda CaOODSP eng eng fre n-cn-bc Fs97-6/3774E-PDF Schwarz, Carl James, 1956- author. 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, Charmaine Carr-Harris, Ian Beveridge, Cameron Noble, Chelsea May. Prince Rupert, British Columbia : Fisheries and Oceans Canada, Science Branch, Pacific Region, 2026. ©2026 1 online resource (x, 71 pages) : charts, maps. text txt rdacontent computer c rdamedia online resource cr rdacarrier Canadian technical report of fisheries and aquatic sciences, 1488-5379 ; 3774 Includes bibliographical references (pages 26-27). "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. Includes abstract in French. Salmon stock management British Columbia Nass River Methodology. Fish populations Estimates British Columbia Nass River Methodology. Bayesian statistical decision theory. Saumons Populations Gestion Colombie-Britannique Nass, Rivière Méthodologie. Poissons Populations Estimation Colombie-Britannique Nass, Rivière Méthodologie. Théorie de la décision bayésienne. Canada. Department of Fisheries and Oceans. Pacific Region. Science Branch, issuing body. Canadian technical report of fisheries and aquatic sciences ; 3774. (CaOODSP)9.504449 PDF 5.15 MB https://publications.gc.ca/collections/collection_2026/mpo-dfo/fs97-6/Fs97-6-3774-eng.pdf