Sampling Survey and Statistical Genetics in Fishery Resource Management and Conservation

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  • Kitada Shuichi
    Faculty of Marine Science, Tokyo University of Marine Science and Technology
  • Kitakado Toshihide
    Faculty of Marine Science, Tokyo University of Marine Science and Technology
  • Kishino Hirohisa
    Graduate School of Agriculture and Life Sciences, University of Tokyo

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  • 水産資源の管理と保全におけるサンプリング調査と統計遺伝
  • スイサン シゲン ノ カンリ ト ホゼン ニ オケル サンプリング チョウサ ト トウケイ イデン

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Abstract

This paper describes several methods for estimating essential parameters in fishery resource management and conservation, which we developed so far. First, an unbiased estimator for evaluating total landings and a ratio estimator for measuring contribution of hatchery releases were derived based on a two-stage random sampling and applied to a masu salmon stock enhancement program. Second, the efficacy of an integrated likelihood approach to estimate Wright's FST in a metapopulation was demonstrated using numerical simulations and real data analysis. Third, an empirical Bayes procedure for estimating genetic parameters is explained, which can simulate posterior distributions for any parametric functions of allelic frequencies. As an example, the effective population size of the Northern pike was estimated. Finally, a method for simultaneous estimation of mixing proportion and genetic drift based on series of genetic tagging data was presented with application to the data from a stock enhancement program of the mud crab.

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