• Main Author: Alexander V. Bugaev
• Other Authors: The Pennsylvania State University CiteSeerX Archives
• Format: Text
• Language: English
• Subjects: Identification; local stocks; scale pattern analysis; scale baselines; age groups; simulation; cl ter; Sockeye; Triplets; Kamchatka
• Online Access: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.579.512; http://www.npafc.org/new/publications/Technical Report/TR6/page 88-90(BugaevA).pdf

analysis, maximum likelihood estimate In this work, we used sockeye and chinook salmon scales collected from Asian and North American ri off-shore catches in June–August 2001–2002 as baselines. The total number of standard scales was: socke salmon–1,954 specimens (including 1,571 fish from 12 stocks in Kamchatka, 183 fish from two stocks in C and 200 fish from Bristol Bay), chinook salmon–1,528 specimens (including 887 fish from eight stocks in Kamchatka and 641 fish from three Alaskan stocks). Scale samples of ocean caught immature sockeye and salmon were collected during the Bering-Aleutian Salmon International Survey (BASIS) trawl surveys con the R/V “TINRO ” in the Russian Exclusive Economic Zone in September–October 2002. Total sample siz for the mixture analysis of ocean caught immature salmon was: sockeye salmon–1,307 aged specimens and identified specimens, chinook salmon–229 aged specimens and 91 identified specimens. Age estimation and analysis of scale criteria were made on the basis of NPAFC standard methods (Da 1990). Scale structure analysis included measuring the following parameters: freshwater growth zone (rad first ocean year growth zone (width, number of circuli, intercirculi spacing combined by triplets). Data ba were formed using cluster analysis of scale standards by dominant age groups (MathSoft 1997). The discr power of scales was determined on a simulated baseline and mixture using maximum likelihood (Millar 19