2023 Early Hearing Detection & Intervention Conference

March 5-7, 2023 • Cincinnati, OH

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5/25/2021  |   2:00 PM - 3:30 PM   |  EVALUATION OF SPATIOTEMPORAL TRIBUTARY FISH ASSEMBLAGE STRUCTURE USING QUANTITATIVE EDNA METABARCODING   |  Virtual Platform

EVALUATION OF SPATIOTEMPORAL TRIBUTARY FISH ASSEMBLAGE STRUCTURE USING QUANTITATIVE EDNA METABARCODING

River tributaries have a variety of important ecological functions for fishes in a river network. Understanding spatiotemporal fish assemblage patterns in natural and artificial tributary habitats is important for estimating the effects of river modification on fishes and developing the conservation strategies. In this study, we examined the fish assemblage patterns on different tributary habitat types (natural tributary stream vs. irrigation channel) and seasons (fall vs. winter) in the Gonokawa River in Japan using quantitative environmental DNA (eDNA) metabarcoding. The analysis results indicate that the species richness in the natural tributary streams was higher than that in the irrigation channels. In addition, the eDNA concentrations of fishes that tend to prefer sand/gravel substrates or aquatic vegetation in the natural tributary streams were higher than those in the irrigation channels. From September to November, the eDNA concentrations of the fish species (Zacco platypus) has significantly increased in the natural tributary streams. These results suggest that (1) artificial stream modifications (e.g., river revetment) would affect fish species richness in the tributaries, and (2) certain fish may have seasonally used the natural tributary stream as their temporal habitats (e.g., overwintering habitats).

  • Conservation
  • Habitat
  • Stream restoration

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Presenters/Authors

Seiji Miyazono (), Yamaguchi University, seiji.miyazono@gmail.com;


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Takao Kodama (), Yamaguchi University, a005veu@yamaguchi-u.ac.jp;


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Yoshihisa Akamatsu (), Yamaguchi University, yakamats@yamaguchi-u.ac.jp;


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Ryohei Nakao (), Yamaguchi University, lineck92@yahoo.co.jp;


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Satsuki Tsuji (), Yamaguchi University, satsuki.may425@gmail.com;


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