2010
DOI: 10.1016/j.fishres.2009.12.007
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Using generalized linear models to estimate selectivity from short-term recoveries of tagged red drum Sciaenops ocellatus: Effects of gear, fate, and regulation period

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Cited by 11 publications
(10 citation statements)
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“…Results could also provide estimates on the proportion of Red Snapper from state waters that are harvested by out-ofstate fishers. Further, this reward-tagging approach could also be used to estimate the vulnerability of different sizes of Red Snapper to harvest, providing information on the size selectivity of the fishery (Pine et al 2003;Bacheler et al 2010). Lastly, combining tagging data with harvest surveys could be used to directly estimate catchability (Pine et al 2003).…”
Section: Most Cost-effective Approachmentioning
confidence: 99%
“…Results could also provide estimates on the proportion of Red Snapper from state waters that are harvested by out-ofstate fishers. Further, this reward-tagging approach could also be used to estimate the vulnerability of different sizes of Red Snapper to harvest, providing information on the size selectivity of the fishery (Pine et al 2003;Bacheler et al 2010). Lastly, combining tagging data with harvest surveys could be used to directly estimate catchability (Pine et al 2003).…”
Section: Most Cost-effective Approachmentioning
confidence: 99%
“…We consider the collection of age-0 red drum by seines to be relatively nonselective over the range of lengths encountered in this study (11-104 mm TL). Gill nets can be highly size-selective when a single or minimum mesh size is used (Bacheler et al 2010b); however, the gill nets used in our study consisted of a wide range of mesh sizes, likely minimizing size-selectivity effects within an age class. Because sample sizes were limited for the gill net survey (e.g., length of time series was short, number of red drum caught within some years was modest), we also analyzed length data from a long-term tagging program that used multiple gears to collect red drum, and selectivity patterns of these combined gears was unknown.…”
Section: Discussionmentioning
confidence: 99%
“…The major benefits of using tagging data to calculate apparent red drum growth rates is that the time series is much longer and more age-1 red drum were collected early in the season, but the downside is that the selectivity patterns of these gears are not known and may not be equal for all sizes of fish (Bacheler et al 2010b). Apparent red drum growth rates were then compared with global age-1 or age-2 abundance using a linear regression model ( Fig.…”
Section: Red Drum Growth Ratesmentioning
confidence: 99%
“…Fish can be segregated perfectly or imperfectly by size and age for some species, and fleets choose particular fishing areas to target one specific size or age (Walters and Martell 2004;Bacheler et al 2010). See also Skonhoft and Gong (2014) for perfect selectivity assumption for the old cohort in age-structured modelling of the Atlantic salmon fishery.…”
Section: Fishing Fleets: Technologiesmentioning
confidence: 99%