| Project/Area Number |
11660184
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
General fisheries
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| Research Institution | Tokyo University of Fisheries |
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Principal Investigator |
TOKAI Tadashi Tokyo University of Fisheries, Faculty of Fisheries, Professor, 水産学部, 教授 (30237044)
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| Co-Investigator(Kenkyū-buntansha) |
SAKAI Hisaharu Tokyo University of Fisheries, Faculty of Fisheries, Lecturer, 水産学部, 講師 (00205709)
HU Fuxiang Tokyo University of Fisheries, Faculty of Fisheries, Associate Prof., 水産学部, 助教授 (80293091)
MATUDA Ko Tokyo University of Fisheries, Faculty of Fisheries, Professor (90026485)
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| Project Period (FY) |
1999 – 2001
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| Project Status |
Completed (Fiscal Year 2001)
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| Budget Amount *help |
¥2,600,000 (Direct Cost: ¥2,600,000)
Fiscal Year 2001: ¥700,000 (Direct Cost: ¥700,000)
Fiscal Year 2000: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 1999: ¥1,100,000 (Direct Cost: ¥1,100,000)
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| Keywords | fishing effort / fishing power / fishing efficiency / fishing gear selectivity / catchability / standardization of catch per unit effort / 漁獲強度 |
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| Research Abstract |
For the purpose of reduction in excess fishing capacity, it is indispensable to evaluate fishing power of fishing methods and fisheries. However, fishing power has been evaluated without distinguishing fishing gear selectivity from catching efficiency. This study arranged terminology in terms of fishing power, and presented methods for standardizing catch per unit effort (CPUE) and for estimating fishing gear selectivity and relative fishing intensity including catchability, sampling effort, fishing effort and so on.
First, fishing efficiency, catchability and fishing effort were defined clearly. The Tauchi fishing power index that fishing scientists and technologists used to employ for evaluating fishing power can remove effects of temporal and spatial change in resources structure on CPUE, and is hence useful to standardize CPUE, which is similar to standardization by GLM.
Second, the SELECT model analysis with fishing effort data can estimate parameters of fishing gear selectivity and catchability at the same time. The split parameter in' the SELECT model was expressed as relative fishing intensity. We successfully modified the SELECT model to analyze the data from paired gear tests with change in sampling effort.
Third, the SELECT model was also enlarged for analyzing data in comparative fishing experiments with over-3 fishing gears.
Finally, for gillnet as a representative fishing method, effect of mesh size and twine thickness on fishing gear selectivity and catching efficiency was studied. And fishing methods and performance were examined in conger-eel fisheries as an example of multi-fisheries (e.g. longline, trawl, trap-net and tube-pot) and the fisheries management was discussed.
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