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Estimation of Gillnet Selectivity Curve by Maximum

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Title: Estimation of Gillnet Selectivity Curve by Maximum
Other Titles: 最尤法による刺網の網目選択性曲線の推定法
Authors: Fujimori, Yasuzumi1 Browse this author →KAKEN DB
Tokai, Tadashi Browse this author
Authors(alt): 藤森, 康澄1
Keywords: bi-normal
catch effort
maximum likelihood method
SELECT model
selectivity curve
Issue Date: Aug-2001
Publisher: Blackwell Publishing
Journal Title: Fisheries Science
Volume: 67
Issue: 4
Start Page: 644
End Page: 654
Publisher DOI: 10.1046/j.1444-2906.2001.00301.x
Abstract: A maximum likelihood method of estimating gillnet selectivity when the data are obtained by gillnet fleets consisting of several nets of differing mesh size is presented in this paper. The SELECT model is expanded by application of the relative length (i.e. the ratio of fish length to mesh size) to obtain a master curve of gillnet selectivity. Four kinds of functional model, normal, lognormal, skew-normal and bi-normal are fitted to the data. In addition, two cases where the relative fishing intensity is either estimated or fixed by catch effort are compared. The bi-normal model has the lower model deviance regardless of whether the relative fishing intensity is estimated or not. The estimation of the relative fishing intensity by catch effort is also examined where the estimates of the parameter of the SELECT model are compared with the catch effort as determined by the number of nets of each mesh size used. For the bi-normal model these quantities compare well. Thus, it is concluded that this method gives reliable estimates even if the data for each mesh size is obtained with different catch efforts.
Rights: Copyright (c) 2001 the Japanese Society of Fisheries Science(日本水産学会)
Type: article (author version)
Appears in Collections:水産科学院・水産科学研究院 (Graduate School of Fisheries Sciences / Faculty of Fisheries Sciences) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 藤森 康澄

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