Columbia River stock identification study : annual report of research (FY 78)

Milner, George B.; Teel, David J.

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Columbia River stock identification study : annual report of research (FY 78)

1979
By Milner, George B. ; Teel, David J.

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Details:

Personal Author:

Milner, George B. ; Teel, David J.

Milner, George B. ; Teel, David J. Less -
Corporate Authors:

Northwest and Alaska Fisheries Center (U.S.). ; U.S. Fish and Wildlife Service.

Northwest and Alaska Fisheries Center (U.S.). ; U.S. Fish and Wildlife Service. Less -
NOAA Program & Office:

NMFS (National Marine Fisheries Service) ; NWFSC (Northwest Fisheries Science Center) ; AFSC (Alaska Fisheries Science Center)

NMFS (National Marine Fisheries Service) ; NWFSC (Northwest Fisheries Science Center) ; AFSC (Alaska Fisheries Science Center) Less -
Description:

Stock identification has been a central problem in salmonid management and research for many years. Tagging studies have provided a wealth of information concerning the biology of salmonids, e.g., life cycles, timing and routes of migration, and homing behavior. Tagging has also been extremely useful in providing catch statistics. However, tagging has some serious limitations--limitations in long term studies in which rapid retrieval of information on the stock composition of daily catches are required, such as high cost, slow information retrieval time, and the requirement of marking (tagging) fish each year.
Keywords:

[+]

Fishery Resources Fish Stock Assessment Genetics Hatchery Vs. Wild Stocks Pacific Salmon
Format:

PDF
Document Type:

Non-series Report
Funding:

Contract no. 14-16-0001-6438
Place as Subject:

Columbia River ; Washington (State)

Columbia River ; Washington (State) Less -
License:

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

CC0 Public Domain
Compliance:

Library
Main Document Checksum:

[+]

urn:sha256:1e152af5d247085ed02a574bc39e32cf1959cdfbd9b12077c8423b3746d1c13f
Download URL:

https://repository.library.noaa.gov/view/noaa/56276/noaa_56276_DS1.pdf
File Type:

Machine Readable Version (JSON)

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