We propose a new method for estimating fish density using catches obtained by gillnets of given mesh size. This method builds on work for estimating the number of fish approaching a gillnet by modelling the fish movement that leads to a gillnet encounter. The theoretical framework is developed, and the method is tested on catch data for cod Gadus morhua and Dolly Varden Salvelinus malma to demonstrate how the method can be applied. The method relies on knowledge of geometric properties of the net, and morphological and behavioural properties of the fish, so we explore the sensitivity of the estimates to some of these parameters. Estimates are most sensitive to the morphological parameter of the angle the mouth is open while swimming and largely invariant to estimates of uncertain parameters like maximum number of fish that can be caught by the particular net.
机构:
China Agr Univ, Natl Freshwater Fish Proc Technol Res Div Ctr, Coll Food Sci & Nutr Engn, Beijing 100083, Peoples R ChinaChina Agr Univ, Natl Freshwater Fish Proc Technol Res Div Ctr, Coll Food Sci & Nutr Engn, Beijing 100083, Peoples R China
Zhang, Lina
Shen, Huixing
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机构:
China Agr Univ, Coll Sci, Beijing 100083, Peoples R ChinaChina Agr Univ, Natl Freshwater Fish Proc Technol Res Div Ctr, Coll Food Sci & Nutr Engn, Beijing 100083, Peoples R China
Shen, Huixing
Luo, Yongkang
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机构:
China Agr Univ, Natl Freshwater Fish Proc Technol Res Div Ctr, Coll Food Sci & Nutr Engn, Beijing 100083, Peoples R ChinaChina Agr Univ, Natl Freshwater Fish Proc Technol Res Div Ctr, Coll Food Sci & Nutr Engn, Beijing 100083, Peoples R China
机构:China Agricultural University,National Freshwater Fish Processing Technology Research Division Center, College of Food Science and Nutritional Engineering
Lina Zhang
Huixing Shen
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机构:China Agricultural University,National Freshwater Fish Processing Technology Research Division Center, College of Food Science and Nutritional Engineering
Huixing Shen
Yongkang Luo
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h-index: 0
机构:China Agricultural University,National Freshwater Fish Processing Technology Research Division Center, College of Food Science and Nutritional Engineering
Yongkang Luo
European Food Research and Technology,
2011,
232
: 979
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984