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- SUZUKI Shoto
- Ibaraki Prefectural Government
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- TABETA Shigeru
- Graduate School of Frontier Sciences, The University of Tokyo
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- MARUYAMA Takuya
- Ise Agriculture, Forestry,and Fishery Office, Mie Prefecture
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- KUROKI Hiroaki
- National Research Institute of Fisheries Science, Japan Fisheries Research and Education Agency
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- NAKAMURA Yoshiharu
- Japan Fisheries Science and Technology Association
Bibliographic Information
- Other Title
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- 伊勢湾における底びき網漁業シミュレータの開発
- イセワン ニ オケル ソコビキアミ ギョギョウ シミュレータ ノ カイハツ
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Abstract
A fishery simulator is developed for a bottom otter trawling in Ise Bay, which consists of fish behavioural models for major two species and a fishing operation model. The fish behavioural models simulate resource conditions for two major target species, conger eel and mantis shrimp, considering the fish migration as well as the growth and the population change. The fishing operation model predicts the behaviour of trawling boats based on economic conditions and resource distribution to calculate the fish catch amount by each boat. The developed simulator well reproduced annual variations of CPUE (catch per unit effort) for conger eel and mantis shrimp. It was indicated that precise environmental conditions should be used to predict behaviour of boats accurately. The simulator was also applied to assess the effects of variables within fishery management such as the control of mesh size for trawling nets, the release of small fish, and introduction of facility to keep caught fish alive. The mesh size of trawl net which maximize the fish catch will be different for each fish species. To release larger fish will be effective only for conger eel because of the high mortality rate of released mantis shrimp. The introduction of an on-deck shower device for caught fish will be cost effective as well as easy to reach consensus upon.
Journal
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- Journal of Fisheries Engineering
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Journal of Fisheries Engineering 54 (1), 9-21, 2017
The Japanese Society of Fisheries Engineering
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Details 詳細情報について
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- CRID
- 1390001205864203776
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- NII Article ID
- 130006729427
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- NII Book ID
- AN10278554
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- ISSN
- 21897131
- 09167617
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- NDL BIB ID
- 028479347
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- Text Lang
- ja
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- Data Source
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- JaLC
- IRDB
- NDL
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed