485
Views
43
CrossRef citations to date
0
Altmetric
Article

Gear Bias in Fyke Netting: Evaluating Soak Time, Fish Density, and Predators

&
Pages 32-41 | Received 26 Jan 2005, Accepted 16 Aug 2005, Published online: 08 Jan 2011
 

Abstract

Knowledge of gear bias is critical for conducting valid population and community assessments. We studied the biases in fyke netting by investigating the individual effects of soak time (fyke nets were fished for 6, 24, or 48 h), fish density (fyke nets were stocked with 0, 30, or 60 fish/net), and predators (fyke nets were stocked with one or zero bowfin Amia calva) on the escape probability and number of individuals captured (i.e., catch) for three fish species. Overall, escape probabilities were consistently lower for round gobies Neogobius melanostomus than for bluntnose minnows Pimephales notatus and banded killifish Fundulus diaphanus. Both escape probability and catch increased with soak time. Escape probabilities were lower at high fish densities and in the presence of a predator, whereas catch appeared to be unaffected by both factors. We documented predation on fish stocked in fyke nets by free-ranging bowfins and yellow bullheads Ameiurus natalis, which is a potential source of bias that will probably vary among systems. Of the factors we investigated, variation in soak time had the strongest effect on catch. Our results were consistent with catch being proportional to soak times of at least 24 to 48 h, although this relationship was highly variable. Thus, standardizing catch by soak time (e.g., net nights) can be appropriate when confronted with low variation in soak time (e.g., 1 d). Finally, our study highlights potential differences in escape probabilities among fish species, a factor that is probably important in determining which species are overrepresented and which are underrepresented in entrapment gear.

Log in via your institution

Log in to Taylor & Francis Online

There are no offers available at the current time.

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.