抄録
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.
