Spatial and vertical bias in down-looking ship-based acoustic estimates of fish density in Lake Superior: Lessons learned from multi-directional acoustics

Ryan C. Grow, Thomas R. Hrabik, Daniel L. Yule, Bryan G. Matthias, Jared T. Myers, Chad Abel

Research output: Contribution to journalArticlepeer-review

Abstract

Hydroacoustic surveys using hull-mounted down-looking transducers are useful for estimating pelagic fish densities; however, this method may miss shallow fish owing to the acoustic surface dead zone and vessel avoidance. Our objective was to compare pelagic fish density estimates acquired by a traditional down-looking acoustic survey to estimates obtained by a new multi-directional-towed sled capable of sampling the entire water column using upward-, sideways-, and downward-aimed transducers simultaneously. We deployed both systems concurrently in the western arm of Lake Superior during a period of stable stratification. We found the two survey approaches provided significantly different estimates of fish density in the upper water column layer (~4–9 m below the lake surface) with the sled up-looking transducer providing 56 times higher densities compared to the traditional ship down-looking method. Densities also varied significantly in the 9–14 m layer where densities were 6.2 times higher in the sled survey. Midwater trawl sampling indicated that cisco (Coregonus artedi) and rainbow smelt (Osmerus mordax) were the predominant species occupying the uppermost 14 m of the water column. The two acoustic approaches provided similar results at water column depths >14 m where rainbow smelt and kiyi (Coregonus kiyi) were predominant. Overall, the sled-based method estimates were, on average, 2.5 times higher for the whole water column. Our findings show that the new sled can reduce bias by better sampling the surface dead zone leading to more accurate estimation of pelagic fish densities for both management and research.

Original languageEnglish (US)
Pages (from-to)1639-1649
Number of pages11
JournalJournal of Great Lakes Research
Volume46
Issue number6
DOIs
StatePublished - Dec 2020
Externally publishedYes

Bibliographical note

Funding Information:
We would like to thank the U.S. Fish and Wildlife Service ? Midwest Region Fisheries Program, University of Minnesota, Duluth College of Science and Engineering, and Red Cliff Band of Lake Superior Chippewa for funding this project. We would also like to thank Mark DuFour and Jan Kube?ka for the insights from their early reviews of the manuscript. Additionally, we would like to thank the crew of the USGS R/V Kiyi: Captain Joe Walters, Keith Peterson, Chuck Carrier, Abigail Granit, Lori Evrard, Caroline Rosinski, and Jacob Czarnik-Neimeyer; as well as Jamie Dobosenski, and Ian Harding for their help in data collection. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Funding Information:
We would like to thank the U.S. Fish and Wildlife Service – Midwest Region Fisheries Program, University of Minnesota, Duluth College of Science and Engineering, and Red Cliff Band of Lake Superior Chippewa for funding this project. We would also like to thank Mark DuFour and Jan Kubečka for the insights from their early reviews of the manuscript. Additionally, we would like to thank the crew of the USGS R/V Kiyi: Captain Joe Walters, Keith Peterson, Chuck Carrier, Abigail Granit, Lori Evrard, Caroline Rosinski, and Jacob Czarnik-Neimeyer; as well as Jamie Dobosenski, and Ian Harding for their help in data collection. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Publisher Copyright:
© 2020 International Association for Great Lakes Research, The US Geological Survey

Keywords

  • Gear bias
  • Great Lakes
  • Hydroacoustics
  • Lake Superior
  • Pelagic fish

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