Simulation of the capture process in set net fishing using a fish-schooling behavior model

Autor: Yuki Takahashi, Kazuyoshi Komeyama
Rok vydání: 2020
Předmět:
Zdroj: Fisheries Science. 86:971-983
ISSN: 1444-2906
0919-9268
DOI: 10.1007/s12562-020-01462-w
Popis: Generally, the catch efficiency (CE) of a set net is difficult to evaluate because it is affected by fish behavior. Therefore, to evaluate CE, we proposed a fish school behavior simulation model based on the boid model and applied it to a full-scale set net. The moving path of the fish school around the set net was simulated and visualized via the proposed method. From the moving path, three behaviors were identified: all individuals entering, all individuals escaping, and the school dividing in the entrance. A Monte Carlo simulation was conducted to evaluate the relationship between set net entrance shape and CE. The entrance net angle (θ) was considered over a range of 55°–90°. The ratio of fish entering the set net was ~ 60% at θ = 60°–90°, and significantly lower at θ = 55°. After entering the playground, over 80% of individuals entered the bag net. When θ = 60°, the ratios of fish escaping from the set net and entering the bag net were at their lowest and highest, respectively. Therefore, maximum CE was achieved at θ = 60°. We conclude that the proposed simulation method will contribute to more efficient set net design.
Databáze: OpenAIRE
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