A Bayesian hierarchical meta-analysis of growth for the genus <i>Sebastes</i> in the eastern Pacific Ocean

Helser, Thomas E.; Stewart, Ian J.; Lai, Han-Lin

doi:10.1139/f07-024

Cited by 29 publications

(30 citation statements)

References 27 publications

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“…of the parameters of interest were estimated by bootstrapping the residuals (B = 1000). It should be noted that other approaches that permit simultaneous quantitative analysis of growth, such as Bayesian methods, have also been proposed for estimating variability among individuals (Pilling et al 2002) or among populations within a species (Helser et al 2007). …”

Section: Methodsmentioning

confidence: 99%

Variability of the growth parameters of the skipjack tuna (Katsuwonus pelamis) among areas in the eastern Atlantic: analysis from tagging data within a meta-analysis approach

Gaertner

Molina

Ariz

et al. 2008

Aquat. Living Resour.

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-In order to assess the latitudinal variability in growth of the eastern Atlantic skipjack (Katsuwonus pelamis), conventional tagging data collected by the International Commission of the Conservation of Atlantic Tunas (ICCAT) since the 1960s are reanalyzed using a modified version of the von Bertalanffy-Fabens growth model. An analysis of the latitudinal patterns of recaptures showed that the lowest mixing rate between northern and southern regions was evidenced at 10• N Latitude. Since it is theoretically admitted that growth parameters L ∞ and K are negatively correlated, we substituted L ∞ into the growth equation model by a simple bioenergetic function of K fitted from existing studies on skipjack growth parameters. The likelihood for the meta-analysis of growth is combined with the likelihoods from the two regional tagging data with the aim of estimating simultaneously K in both areas and to transfer adequately uncertainties associated with the different data sets. From this study, it was showed that fish inhabiting waters south of 10• N latitude can be expected to grow generally larger but at slower rate than in the North (L ∞ = 112.34 cm vs. 89.38 cm, and K = 0.14 vs. 0.38, respectively). Our results are consistent with the range of growth estimates obtained in the Atlantic Ocean and in different parts of the World's oceans. In contrast, the estimates of L ∞ and K done in the Senegalese region in the 1980s within the framework of the Skipjack Year Program, and traditionally applied by IC-CAT, are not supported by the present study. The findings concerning the phenotypic plasticity exhibited by growth of skipjack among latitudinal regions suggest potential differences in fish population productivity and consequently imply that non-conventional stock assessment methods such as catch-at size/growth transition matrix per region could be used to assess the responses of skipjack to exploitation.Key words: Skipjack tuna / Growth rate / Conventional tagging / Combined likelihood / Bioenergetic function Résumé -Variabilité de la croissance du listao (Katsuwonus pelamis) entre les secteurs de l'Atlantique Est : utilisation de données de marquage-recapture dans un contexte de méta-analyse. Dans le but d'évaluer la variabilité latitudinale de la croissance du listao (Katsuwonus pelamis) dans l'Atlantique Est, les données de marquage traditionnel collectées par l'ICCAT depuis le début des années soixante ont été reanalysées à l'aide d'une version modifiée du modèle de croissance de von Bertalanffy-Fabens. L'analyse des taux de recaptures par strates longitudinales montre que les échanges sont minima entre le Nord et le Sud au niveau de la latitude 10• N. Etant donné qu'il est admis que les estimations des paramètres de la courbe de croissance L ∞ et K sont corrélées, nous proposons de substituer, dans l'équa-tion de croissance, L ∞ par une simple fonction bioénergétique de K ajustée à partir des paramètres de croissance obtenus dans la littérature sur le sujet. La fonction de vraisemblance pour ces données d...

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Section: Methodsmentioning

confidence: 99%

Variability of the growth parameters of the skipjack tuna (Katsuwonus pelamis) among areas in the eastern Atlantic: analysis from tagging data within a meta-analysis approach

Gaertner

Molina

Ariz

et al. 2008

Aquat. Living Resour.

View full text Add to dashboard Cite

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“…Pilling et al [53], Helser and Lai [32], Siegfried and Sansó [63], Helser et al [33], and Eveson et al [19]). The persistence of the negative correlation is a result at least in part of the parameterization of the VBGF, not necessarily any biologically interesting or important mechanism (see also [19,53,55]).…”

Section: Growth Modelmentioning

confidence: 98%

Estimating von Bertalanffy parameters with individual and environmental variations in growth

Shelton

Mangel

2012

Journal of Biological Dynamics

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Variation among individuals is an ubiquitous feature of natural populations. However, the relative roles of intrinsic individual differences and stochastic processes in generating variation remain poorly understood. For somatic growth, identifying the contribution of individual and stochastic processes to observed variation in size has important implications both for basic and applied biology. Here we propose and develop methods for estimating individual variation in growth using size-at-age data. We modify the von Bertalanffy growth model to explicitly incorporate individual, environmental, and stochastic variation and provide analytic expressions for the mean and variance of length-at-age in populations. We use a Bayesian statistical model to estimate individual variation from length-at-age data and apply the model to simulated data to test its efficacy. Although a first step towards understanding individual variation, we demonstrate that estimating individual variation from observational samples is possible and provide a platform for future analytical and statistical developments.

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“…LENGTH-BASED REFERENCE POINTS (Helser et al 2007), and sensitivity was explored to three other choices for k (life histories LH1, LH3, and LH4) providing a range of possible life history conditioning among groundfishes, though not representing any one species in particular. Simulation results were insensitive to the choice of L ' , so this parameter was kept constant among each life history variation.…”

Section: Cope and Puntmentioning

confidence: 99%

Length‐Based Reference Points for Data‐Limited Situations: Applications and Restrictions

2009

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Current fisheries management policies generally require an assessment of stock status, which is a difficult task when population and fisheries data are limited. Three simple metrics based on catch length compositions (i.e., that reflect exclusive take of mature individuals, P mat; that consist primarily of fish of optimal size, the size at which the highest yield from a cohort occurs, P opt; and that demonstrate the conservation of large, mature individuals, P mega) can be used to monitor population status relative to exploitation. The metrics (collectively referred to as Px) were intended to avoid growth and recruitment overfishing, but there was no quantitative linkage to stock status and calculation of future sustainable catches. We attempt to make this connection by exploring the relationship of Px measures to fishing mortality and spawning biomass (SB). The relationships are compared specifically to the current target reference point (0.4 times the virgin, or unfished, SB [SB0]) and limit reference point (0.25SB0) used for the U.S. West Coast groundfish fishery by using simulations based on a deterministic age‐structured population dynamics model. Sensitivity to fishery selectivity, life history traits, and recruitment compensation (steepness) is explored. Each Px measure showed a wide range of possible values depending on fishery selectivity, steepness, and the ratio of the length at maturity (L mat) to the optimal fishing length (L opt). Although the values of Px may be compatible with sustainable fishing, these values are not always sufficient to ensure stock protection from overfishing. Moreover, values for Px cannot be interpreted adequately without knowledge of the selectivity pattern. A new measure, P obj (the sum of P mat, P opt, and P mega), is introduced to distinguish selectivity patterns and construct a decision tree for development of stock status indicators. Heuristic indicator values are presented to demonstrate the utility of this approach. Although several caveats remain, this approach builds on the recommendations of previous literature by giving further guidance related to interpreting catch length composition data under variable fishery conditions without collecting additional information. It also provides a link to developing harvest control rules that inform proactive fisheries management under data‐limited conditions.

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A Bayesian hierarchical meta-analysis of growth for the genus Sebastes in the eastern Pacific Ocean

Cited by 29 publications

References 27 publications

Variability of the growth parameters of the skipjack tuna (Katsuwonus pelamis) among areas in the eastern Atlantic: analysis from tagging data within a meta-analysis approach

Variability of the growth parameters of the skipjack tuna (Katsuwonus pelamis) among areas in the eastern Atlantic: analysis from tagging data within a meta-analysis approach

Estimating von Bertalanffy parameters with individual and environmental variations in growth

Length‐Based Reference Points for Data‐Limited Situations: Applications and Restrictions

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