Takahito Masubuchi, Mitsuhisa Kawano, Tamaki Shimose, Yuta Yagi, Minoru Kanaiwa
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引用次数: 0
Abstract
Japanese flounder Paralichthys olivaceus is one of the most important coastal fish species in Japan. However, its catch in the southwestern Sea of Japan has been decreasing. Therefore, there is a need to improve the accuracy of stock assessment. Catch-at-age, which is the basis for stock assessment, is calculated based on the length–frequency distribution using age-length keys. It is recommended that this basic information is revised annually. However, the information for this species has not been updated for a relatively long period. In this study, growth curves were estimated and compared with those recorded from other areas. A multinomial logistic age-length key was generated and compared with the classical catch-at-age calculation method to examine potential errors. On the basis of the results obtained, a sex-specific von Bertalanffy growth curve was selected using the Bayesian information criterion. A model of sex and season was chosen for the multinomial logistic age-length key. The relative error was smaller and the estimated age composition was more accurate with the multinomial logistic age-length key, even when data with missing values were used. The improved accuracy of catch-at-age achieved due to the superior characteristics of the multinomial logistic age-length key is expected to be useful for the advancement of stock assessment.
期刊介绍:
Fisheries Science is the official journal of the Japanese Society of Fisheries Science, which was established in 1932. Recognized as a leading journal in its field, Fisheries Science is respected internationally for the publication of basic and applied research articles in a broad range of subject areas relevant to fisheries science. All articles are peer-reviewed by at least two experts in the field of the submitted paper. Published six times per year, Fisheries Science includes about 120 articles per volume. It has a rich history of publishing quality papers in fisheries, biology, aquaculture, environment, chemistry and biochemistry, food science and technology, and Social Science.