Simulation of the capture process in set net fishing using a fish-schooling behavior model
Autor: | Yuki Takahashi, Kazuyoshi Komeyama |
---|---|
Rok vydání: | 2020 |
Předmět: |
0106 biological sciences
010604 marine biology & hydrobiology Fishing Monte Carlo method Process (computing) 04 agricultural and veterinary sciences Aquatic Science Fish schooling 01 natural sciences Set (abstract data type) Statistics 040102 fisheries Net (polyhedron) Range (statistics) 0401 agriculture forestry and fisheries Fish Mathematics |
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 |
Externí odkaz: | |
Nepřihlášeným uživatelům se plný text nezobrazuje | K zobrazení výsledku je třeba se přihlásit. |