2010
DOI: 10.1016/j.fishres.2010.03.005
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Evaluation of procedures to reduce bias in fish growth parameter estimates resulting from size-selective sampling

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Cited by 59 publications
(67 citation statements)
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“…However, comparisons of individual growth parameters in isolation across regions can be problematic because L ∞ , K , and t 0 are typically strongly correlated (Shepherd, 1987) and actual realized growth rates (size-at-age) are a combination of all three values (Gwinn, Allen & Rogers, 2010; Pardo, Cooper & Dulvy, 2013). To compare growth across regions directly, we used reported VBGF parameters from previous studies to calculate mean size-at-age for lionfish at age 1, 2 and 3 (; Table 4).…”
Section: Discussionmentioning
confidence: 99%
“…However, comparisons of individual growth parameters in isolation across regions can be problematic because L ∞ , K , and t 0 are typically strongly correlated (Shepherd, 1987) and actual realized growth rates (size-at-age) are a combination of all three values (Gwinn, Allen & Rogers, 2010; Pardo, Cooper & Dulvy, 2013). To compare growth across regions directly, we used reported VBGF parameters from previous studies to calculate mean size-at-age for lionfish at age 1, 2 and 3 (; Table 4).…”
Section: Discussionmentioning
confidence: 99%
“…Meanwhile, observed sex ratio of sampled individuals was not significantly different from parity in our study but biased in favour of males in Atatürk Dam Lake in the same River (Oymak, et al, 2011). Inability to cover all age groups and having biased sex ratio in fisheries stock assessment studies seems to depend mainly on the fishing area and sampling gear selectivity (Catalano and Allen, 2010;Gwinn, et al, 2010). Growth rate and sexual maturity in poikilotherms, including most fish, is a function of temperature and the thermal integral, known as the growing degree-day (°C-day), is recognized to be a reliable predictor of growth and development (Neuheimer and Taggart, 2007).…”
Section: Discussionmentioning
confidence: 99%
“…Growth estimates are likely to be biased (Gwinn et al. ) and mortality is likely to be overestimated (Miranda and Bettoli ) if large, older individuals are not appropriately represented in fall samples. Consequently, efforts to model and implement management actions on these populations using fall standardized data could produce inaccurate estimates.…”
Section: Discussionmentioning
confidence: 99%