2015
DOI: 10.1016/j.fishres.2015.03.009
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Spatial and temporal variability in growth of southern flounder (Paralichthys lethostigma)

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Cited by 27 publications
(30 citation statements)
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“…We opted to use a hierarchical version of the VBGM (Midway et al. ) that allowed for putative groups (species × sex combinations) to have their own parameter estimates in addition to an overall estimate. This model parameterization, combined with Bayesian estimation, produces posterior estimates of parameter values; the credible intervals of these estimates can be compared for overlap and statistical differences.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…We opted to use a hierarchical version of the VBGM (Midway et al. ) that allowed for putative groups (species × sex combinations) to have their own parameter estimates in addition to an overall estimate. This model parameterization, combined with Bayesian estimation, produces posterior estimates of parameter values; the credible intervals of these estimates can be compared for overlap and statistical differences.…”
Section: Methodsmentioning
confidence: 99%
“…Additional model fitting details are provided by Midway et al. (). Models were fitted with diffuse prior probability distributions and with three Markov chains starting with different values.…”
Section: Methodsmentioning
confidence: 99%
“…We developed a Beverton–Holt modified von Bertalanffy (VB) longevity growth model (Midway et al. ) to estimate length at age from RGCT otolith data in each of the nine stream segments (no otoliths were collected in Polvadera Creek). Since both density and temperature can affect VB growth parameters in fish populations (Sinclair et al.…”
Section: Methodsmentioning
confidence: 99%
“…To quantify spatial variability in Flathead Catfish somatic growth, we utilized methods similar to those of Midway et al. (). The von Bertalanffy growth equation was incorporated into a Bayesian nonlinear hierarchical modeling framework as follows:yij=Lj1efalse(Kj(tijt0j)false)+normalϵij,normalϵijN0,normalσ2logLjKjBVNfalse(normalμ,normalΣfalse),μ=log(L¯,K¯),t0jNfalse(t¯0,σt02false), where y ij is the TL for fish i from population (i.e., river or reservoir) j ; t ij is the observed age for fish i from population j ; and L ∞ j , K j , and t 0 j are the population‐specific von Bertalanffy growth parameters.…”
Section: Methodsmentioning
confidence: 99%