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http://dx.doi.org/10.5657/fas.2008.11.1.061

Modeling the Selectivity of the Cod-end of a Trawl Using Chaotic Fish Behavior and Neural Networks  

Kim, Yong-Hae (Institute of Marine Industry, College of Marine Science, Gyeongsang National University)
Wardle, Clement S. (The FRS Marine Laboratory)
Publication Information
Fisheries and Aquatic Sciences / v.11, no.1, 2008 , pp. 61-69 More about this Journal
Abstract
Using empirical data of fish performance and physiological limits as well as physical stimuli and environmental data, a cod-end selectivity model based on a chaotic behavior model using the psycho-hydraulic wheel and neural-network approach was established to predict fish escape or herding responses in trawl and cod-end designs. Fish responses in the cod-end were categorized as escape or herding reactions based on their relative positions and reactions to the net wall. Fish movements were regulated by three factors: escape time, a visual looming effect, and an index of body girth-mesh size. The model was applied to haddock in a North Sea bottom trawl including frequencies of movement components, swimming speed, angular velocity, distance to net wall, and the caught-fish ratio; simulation results were similar to field observations. The ratio of retained fish in the cod-end was limited to 37-95% by optomotor coefficient values of 0.3-1.0 and to 13-67% by looming coefficient values of 0.1-1.0. The selectivity curves generated by this model were sensitive to changes in mesh size, towing speed, mesh type, and mesh shape.
Keywords
Chaotic fish behavior; Cod-end of trawl; Selectivity model;
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