Modeling ocean distributions and abundances of natural- and hatchery-origin Chinook salmon stocks with integrated genetic and tagging data

Jensen, Alexander J.; Kelly, Ryan P.; Satterthwaite, William H.; Ward, Eric J.; Moran, Paul; Shelton, Andrew Olaf

doi:10.7717/peerj.16487

i

Modeling ocean distributions and abundances of natural- and hatchery-origin Chinook salmon stocks with integrated genetic and tagging data

2023
By Jensen, Alexander J. ; Kelly, Ryan P. ; Satterthwaite, William H. ; ...

Details

Journal Title:

PeerJ
Personal Author:

Jensen, Alexander J. ; Kelly, Ryan P. ; Satterthwaite, William H. ; Ward, Eric J. ; Moran, Paul ; Shelton, Andrew Olaf
NOAA Program & Office:

NMFS (National Marine Fisheries Service) ; NWFSC (Northwest Fisheries Science Center) ; SWFSC (Southwest Fisheries Science Center)
Description:

Considerable resources are spent to track fish movement in marine environments, often with the intent of estimating behavior, distribution, and abundance. Resulting data from these monitoring efforts, including tagging studies and genetic sampling, often can be siloed. For Pacific salmon in the Northeast Pacific Ocean, predominant data sources for fish monitoring are coded wire tags (CWTs) and genetic stock identification (GSI). Despite their complementary strengths and weaknesses in coverage and information content, the two data streams rarely have been integrated to inform Pacific salmon biology and management. Joint, or integrated, models can combine and contextualize multiple data sources in a single statistical framework to produce more robust estimates of fish populations.
Keywords:

General Agricultural And Biological Sciences General Biochemistry, Genetics And Molecular Biology General Medicine General Neuroscience General Agricultural And Biological Sciences General Biochemistry, Genetics And Molecular Biology General Agricultural And Biological Sciences General Biochemistry, Genetics And Molecular Biology
Source:

PeerJ, 11, e16487
DOI:

https://doi.org/10.7717/peerj.16487
ISSN:

2167-8359
Format:

PDF
Publisher:

PeerJ
Document Type:

Journal Article
License:

https://creativecommons.org/publicdomain/zero/1.0/
Rights Information:

CC0 Public Domain
Compliance:

Library
Main Document Checksum:

urn:sha-512:b99bd83bc14bb38be69cb2fe405ffa307a69e9b80c138bc4856876529c896ffbd02192d931b0c54cd48b75c98c973c32e05e308d8986df16f986288561b01b24
Download URL:

https://repository.library.noaa.gov/view/noaa/63453/noaa_63453_DS1.pdf
File Type:

[PDF - 6.59 MB ]

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