Detection probabilities of electrofishing, hoop nets, and benthic trawls for fishes in two western North American rivers

Journal of Fish and Wildlife Management
By: , and 

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Abstract

Research comparing different sampling techniques helps improve the efficiency and efficacy of sampling efforts. We compared the effectiveness of three sampling techniques (small-mesh hoop nets, benthic trawls, boat-mounted electrofishing) for 30 species in the Green (WY, USA) and Kootenai (ID, USA) rivers by estimating conditional detection probabilities (probability of detecting a species given its presence at a site). Electrofishing had the highest detection probabilities (generally greater than 0.60) for most species (88%), but hoop nets also had high detectability for several taxa (e.g., adult burbot Lota lota, juvenile northern pikeminnow Ptychocheilus oregonensis). Benthic trawls had low detection probabilities (<0.05) for most taxa (84%). Gear-specific effects were present for most species indicating large differences in gear effectiveness among techniques. In addition to gear effects, habitat characteristics also influenced detectability of fishes. Most species-specific habitat relationships were idiosyncratic and reflected the ecology of the species. Overall findings of our study indicate that boat-mounted electrofishing and hoop nets are the most effective techniques for sampling fish assemblages in large, coldwater rivers.

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Publication type Article
Publication Subtype Journal Article
Title Detection probabilities of electrofishing, hoop nets, and benthic trawls for fishes in two western North American rivers
Series title Journal of Fish and Wildlife Management
DOI 10.3996/022015-JFWM-011
Volume 6
Issue 2
Year Published 2015
Language English
Publisher Scientific Journals
Contributing office(s) Coop Res Unit Seattle
Description 21 p.
First page 371
Last page 391
Country United States
State Idaho, Wyoming
Other Geospatial Kootenai River, Green River
Online Only (Y/N) N
Additional Online Files (Y/N) N
Google Analytic Metrics Metrics page
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