Direct and indirect estimates of black crappie size selectivity to a common sampling gear: Potential biases and limitations for assessment

Binion, Greg R.; Allen, Micheal S.; Catalano, Matthew J.; Pine, William E.

doi:10.1016/j.fishres.2008.07.010

Cited by 13 publications

(11 citation statements)

References 27 publications

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“…Dome-shaped selectivity has been observed previously for a wide variety of sampling gears (Jackson and Noble, 1995;Erzini and Castro, 1998;Binion et al, 2009). The dome-shaped selectivity curves we observed are likely due to the management and ecology of red drum in North Carolina.…”

Section: Discussionsupporting

confidence: 77%

“…Estimating selectivity is important because it provides the critical link between the length or age structure of catch data to the length or age structure of the actual population (Taylor et al, 2005;Binion et al, 2009). There are a variety of ways to estimate selectivity, but by far the most powerful and direct method is using tag returns because the size or age availability is known (Myers and Hoenig, 1997;Clark and Kaimmer, 2006).…”

Section: Discussionmentioning

confidence: 99%

“…For example, nets and pots are selective because small fish can escape through the mesh (Hamon et al, 2000;Rudershausen et al, 2008), while larger fish may out-swim towed trawl nets (Wells et al, 2008;Binion et al, 2009) or may be too big to become entangled in stationary gill nets (Myers and Hoenig, 1997). Hook-and-line gear is also selective and is based on the relationship of hook size to mouth size (Millar and Fryer, 1999;Bacheler and Buckel, 2004;Alos et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Using generalized linear models to estimate selectivity from short-term recoveries of tagged red drum Sciaenops ocellatus: Effects of gear, fate, and regulation period

et al. 2010

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Section: Discussionsupporting

confidence: 77%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Using generalized linear models to estimate selectivity from short-term recoveries of tagged red drum Sciaenops ocellatus: Effects of gear, fate, and regulation period

et al. 2010

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“…However, differences in the CPUE and the mean length in sunfish species suggest changing the capture method (i.e., a shift to DC electrofishing) when sampling multiple sportfish in lakes or reservoirs may result in an altered estimation of abundance and size structure (Hilborn and Walters 1992;Binion et al 2009). Our lower catch rates by DC electrofishing of channel catfish and sunfish suggests this gear may not sample some of the most abundant and important species in Illinois at the same rate of AC electrofishing (Willink and Veraldi 2009), possibly impacting future management decisions regarding these species once DC electrofishing becomes a state-wide sampling method.…”

Section: Discussionmentioning

confidence: 99%

A comparison of electrofishing methods and fyke netting to produce reliable abundance and size metrics

Porreca

Pederson

Laursen

et al. 2013

Journal of Freshwater Ecology

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Because different fishing gears may introduce different degrees of bias, we set out to compare two active sampling methods (alternating current (AC) and pulsed direct current (DC) boat electrofishing) and one passive method (modified fyke netting) in sampling sportfish in a midwestern US reservoir. Currently, the Illinois Department of Natural Resources uses AC electrofishing to sample reservoirs but a switch to DC is underway. Understanding how this switch will impact fisheries data is critical for future management decisions. We found catch per unit effort (CPUE) for all sportfish combined was greater (p < 0.0001) with AC electrofishing than DC electrofishing. Though not significant, largemouth bass (Micropterus salmoides) were sampled at a higher rate using DC electrofishing. Channel catfish (Ictalurus punctatus, p ¼ 0.0494) and sunfish (Lepomis spp., p < 0.0001) were sampled at a significantly higher rate with AC electrofishing. We found a positive relationship between AC and DC electrofishing CPUE for largemouth bass (r 2 ¼ 0.702); however, no relationship between AC electrofishing and DC electrofishing was found for sunfish CPUE. Length frequency distributions of sunfish were significantly different for each gear used. The lack of a relationship between AC and DC electrofishing CPUE for sunfish species suggests data from future DC electrofishing may not be comparable to historical data obtained from AC electrofishing.

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“…Rogers). Taylor et al, 2005;Binion et al, 2009). Reduced vulnerability of smaller fish typically results in negative bias in the estimates of the theoretical age when length is equal to zero (t 0 ) and negative bias in the estimates of the rate at which fish reach maximum size (k).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of procedures to reduce bias in fish growth parameter estimates resulting from size-selective sampling

2010

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Direct and indirect estimates of black crappie size selectivity to a common sampling gear: Potential biases and limitations for assessment

Cited by 13 publications

References 27 publications

Using generalized linear models to estimate selectivity from short-term recoveries of tagged red drum Sciaenops ocellatus: Effects of gear, fate, and regulation period

Using generalized linear models to estimate selectivity from short-term recoveries of tagged red drum Sciaenops ocellatus: Effects of gear, fate, and regulation period

A comparison of electrofishing methods and fyke netting to produce reliable abundance and size metrics

Evaluation of procedures to reduce bias in fish growth parameter estimates resulting from size-selective sampling

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