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Discriminant analysis of age to enable rapid estimation of 0-age Japanese eels Anguilla japonica
https://doi.org/10.15083/00040624
https://doi.org/10.15083/000406246848b4b7-e3f1-4531-a424-2ff2e814cbde
名前 / ファイル | ライセンス | アクション |
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CMS360103.pdf (649.0 kB)
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Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
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公開日 | 2014-09-03 | |||||
タイトル | ||||||
タイトル | Discriminant analysis of age to enable rapid estimation of 0-age Japanese eels Anguilla japonica | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Anguilla japonica | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | age | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | discriminant analysis | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | elvers | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | growth | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | otolith | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | departmental bulletin paper | |||||
ID登録 | ||||||
ID登録 | 10.15083/00040624 | |||||
ID登録タイプ | JaLC | |||||
著者 |
Fukuda, Nobuto
× Fukuda, Nobuto× Aoyama, Jun× Miller, Michael J.× Suzuki, Yuzuru× Tsukamoto, Katsumi |
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著者所属 | ||||||
値 | Atmosphere and Ocean Research Institute, The University of Tokyo | |||||
著者所属 | ||||||
値 | Fisheries Laboratory, Graduate School of Agricultural and Life Sciences, The University of Tokyo | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Anguillid eels are declining worldwide, so monitoring of their annual recruitment is important, but labor-intensive. Efficient ways to assess the abundance of their new recruits (0-age) each year would therefore be useful. Three discriminant analysis methods were evaluated for their ability to identify 0-age eels based on the total length (TL) of eels that included various age classes from 0-age to ≥2-age. Japanese eels were sampled every month from 2007 to 2009 in the Imagawa River, an inlet river of Hamana Lake in Japan, and the ages of 223 eels (50 to 250 mm TL) were determined using otolith annuli analyses. All three discriminant analyses could predict 0-age eels more accurately than 1-age and ≥2-age eels based on TL and catch date data. Canonical discriminant analysis appeared to be best for predicting 0-age eels, with all eels determined by otolith analysis as 0-age being correctly predicted (100%) in the leave-one-out cross validation method, although 2.4% of 1-age eels were wrongly predicted as 0-age. Studies of the recruitment patterns, habitat use, or ecology of 0-age recruits in a river system would be possible without additional aging efforts after a discriminant analysis function was created for a river system. | |||||
書誌情報 |
Coastal marine science 巻 36, 号 1, p. 19-25, 発行日 2013-12 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 13493000 | |||||
書誌レコードID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA11957899 | |||||
出版者 | ||||||
出版者 | International Coastal Research Center, Atmosphere and Ocean Research Institute, the University of Tokyo | |||||
出版者別名 | ||||||
値 | 東京大学大気海洋研究所国際沿岸海洋研究センター |