Dietary study using set-nets produces bias in prey choice of fish: A case of three coastal fishes inhabiting southern Korean waters
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Title
- Dietary study using set-nets produces bias in prey choice of fish: A case of three coastal fishes inhabiting southern Korean waters
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Author(s)
- Park, Joo Myun; Kwak, Seok Nam; Lee, Won Chan
- KIOST Author(s)
- Park, Joo Myun(박주면)
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Alternative Author(s)
- 박주면
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Publication Year
- 2020-02
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Abstract
- Prey selection by marine fishes is highly dependent on whether available food resources are abundant or deficient in their feeding grounds. The influence of fishing method on prey choice was analyzed via stomach content analyses of three coastal fishes: Pennahia argentata, Sillago japonica, and Thryssa kammalensis. Fish samples were collected from northern Jinju Bay, Korea, using two types of fishing gear that covered two different fishing layers in the water column: beam-trawl (bottom layer) and set-net (surface layer). When caught via beam-trawl, all three target species were function as bottom-feeding carnivores that consumed mainly benthic crustaceans and other invertebrates. In contrast, when caught via set-net, teleosts were the most abundant prey items in the diets of the three species. Significant differences in the diet composition between beam-trawl and set-net samples were revealed using permutational multivariate analysis of variance. Although seasonal changes in diet composition were also evident, the influence of season was weaker than that of fishing gear. Consequently, in this study, stomach content analysis demonstrated that set-net made a strong effect on prey selection by the co-occurring P. argentata, S. japonica, and T. kammalensis in southern Korean waters.
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ISSN
- 1385-1101
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URI
- https://sciwatch.kiost.ac.kr/handle/2020.kiost/38750
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DOI
- 10.1016/j.seares.2020.101846
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Bibliographic Citation
- JOURNAL OF SEA RESEARCH, v.157, 2020
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Publisher
- ELSEVIER
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Keywords
- Beam-trawl; Set-net; Stomach contents; Prey choice; Southern Korea
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Type
- Article
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Language
- English
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Document Type
- Article
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