Acoustic telemetry as a potential tool for mixed-stock analysis of fishery harvest: a feasibility study using Lake Erie walleye

Author:

Faust Matthew D.1,Vandergoot Christopher S.2,Brenden Travis O.3,Kraus Richard. T.2,Hartman Travis1,Krueger Charles C.4

Affiliation:

1. Ohio Department of Natural Resources, Division of Wildlife, Sandusky Fisheries Research Station, 305 East Shoreline Drive, Sandusky, OH 44870, USA.

2. US Geological Service, Great Lakes Science Center, Lake Erie Biological Station, 6100 Columbus Avenue, Sandusky, OH 44870, USA.

3. Michigan State University, Quantitative Fisheries Center, Department of Fisheries and Wildlife, 101 Urban Planning and Landscape Architecture, 375 Wilson Rd., East Lansing, MI 48824-1101, USA.

4. Michigan State University, Center for Systems Integration and Sustainability, Department of Fisheries and Wildlife, 115 Manly Miles Building, 1405 S. Harrison Rd., East Lansing, MI 48823, USA.

Abstract

Understanding stock composition is critical for sustainable management of mixed-stock fisheries. When natural markers routinely used for stock discrimination fail, alternative techniques are required. We investigated the feasibility of using acoustic telemetry to estimate spawning population contributions to a mixed-stock fishery using Lake Erie’s summer walleye (Sander vitreus) recreational fishery as a case study. Postrelease survival was estimated after tagging and used to inform simulations to evaluate how contribution estimates could be affected by survival, sample size, and expected population contributions. Walleye experienced low short-term survival after tagging, but showed higher survival after 100 days, likely allowing fish to return to spawning areas the following spring. Based on simulations, accuracy and precision of population composition increased with an increase in the number of tagged fish released, and both appeared to stabilize when ≥200 tagged fish were released. Results supported the feasibility of using acoustic telemetry to estimate spawning population contributions to mixed-stock fisheries in Lake Erie.

Publisher

Canadian Science Publishing

Subject

Aquatic Science,Ecology, Evolution, Behavior and Systematics

Reference73 articles.

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2. Beeman, J.W., and Perry, R.W. 2012. Bias from false-positive detections and strategies for their removal in studies using telemetry. In Telemetry techniques: a user guide for fisheries research. Edited by N.S. Adams, J.W. Beeman, and J.H. Eiler. American Fisheries Society, Bethesda, Maryland. pp. 505–518.

3. An holistic approach to fish stock identification

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