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MANAGEMENT BRIEF

Using Boat Electrofishing to Estimate the Abundance of Invasive Common Carp in Small Midwestern Lakes

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Pages 817-822 | Received 13 Dec 2011, Accepted 26 Apr 2012, Published online: 01 Aug 2012
 

Abstract

The common carp Cyprinus carpio is among the most invasive fish worldwide, but practical methods for estimating its abundance have not yet been developed. Particularly needed are methods that can accurately assess low densities of common carp to enact proactive management strategies before populations reach damaging levels. In this study we tested whether the density of adult common carp in small Minnesota lakes could be accurately predicted from their catch rates using boat electrofishing. We used mark and recapture to estimate the abundance of common carp in eight Midwestern lakes with a wide range of common carp densities (13–400 carp/ha), while also surveying each lake using boat electrofishing. In addition, we reduced common carp abundance by up to 90% in two lakes to test whether this was accompanied by a similar drop in electrofishing catch rates. A regression analysis showed that electrofishing catch rates increased linearly with increasing densities of common carp. A cross-validation procedure showed that boat electrofishing can accurately estimate common carp densities; however, we observed a tendency to overestimate low densities and underestimate high densities. Our results suggest that electrofishing surveys can be routinely employed to estimate common carp densities in small lakes.

Received December 13, 2011; accepted April 26, 2012

ACKNOWLEDGMENTS

This research was funded by the Riley Purgatory Bluff Creek Watershed District, the Ramsey-Washington Metro Watershed District, the Minnesota Environment and Natural Resources Trust Fund, and the Minnesota Agricultural Experiment Station. Daryl Ellison and Gerry Johnson (Minnesota Department of Natural Resources) provided technical support and fish collection permits. Brett Miller and Mary Headrick (University of Minnesota) helped with data collection. We thank Jacob Osborne and Paul Venturelli (both University of Minnesota) as well as three anonymous reviewers for providing useful comments that improved this manuscript.

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