Nursery origin of yellowfin tuna in the Hawaiian Islands

Wells, R. J. David; Rooker, Jay R.; Itano, David

doi:10.3354/meps09833

Cited by 40 publications

(52 citation statements)

References 30 publications

(14 reference statements)

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“…This is broadly in line with the results in Grewe et al. (), who identified three populations in the Pacific Ocean and also from Wells, Rooker, and Itano () who, through otolith chemistry data, showed that Hawaiian yellowfin are likely to form their own stock. There are differences between methods though, with the structure and the admixture models having a less clear signal.…”

Section: Stock Structure Of Yellowfin Tunasupporting

confidence: 91%

Reliably discriminating stock structure with genetic markers: Mixture models with robust and fast computation

Foster

Feutry

Grewe

et al. 2018

Molecular Ecology Resources

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Delineating naturally occurring and self-sustaining subpopulations (stocks) of a species is an important task, especially for species harvested from the wild. Despite its central importance to natural resource management, analytical methods used to delineate stocks are often, and increasingly, borrowed from superficially similar analytical tasks in human genetics even though models specifically for stock identification have been previously developed. Unfortunately, the analytical tasks in resource management and human genetics are not identical-questions about humans are typically aimed at inferring ancestry (often referred to as "admixture") rather than breeding stocks. In this article, we argue, and show through simulation experiments and an analysis of yellowfin tuna data, that ancestral analysis methods are not always appropriate for stock delineation. In this work, we advocate a variant of a previously introduced and simpler model that identifies stocks directly. We also highlight that the computational aspects of the analysis, irrespective of the model, are difficult. We introduce some alternative computational methods and quantitatively compare these methods to each other and to established methods. We also present a method for quantifying uncertainty in model parameters and in assignment probabilities. In doing so, we demonstrate that point estimates can be misleading. One of the computational strategies presented here, based on an expectation-maximization algorithm with judiciously chosen starting values, is robust and has a modest computational cost.

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Section: Stock Structure Of Yellowfin Tunasupporting

confidence: 91%

Reliably discriminating stock structure with genetic markers: Mixture models with robust and fast computation

Foster

Feutry

Grewe

et al. 2018

Molecular Ecology Resources

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show abstract

“…Similar to Wells et al . (), the template was constructed using otolith measurements from the smallest individuals [≤ 25 cm fork length (FL)] in our sample of each species, which represented core material accreted during the first ~3 months of life. The final milling template was the same for T. obesus and T. albacares, and a series of drill passes was run over the preprogrammed milling template using a 500‐ μ m‐diameter Brasseler carbide bit (Brasseler USA, Medical L.L.C., Ventura, CA, USA) until a depth of approximately 800 μ m was reached.…”

Section: Methodsmentioning

confidence: 99%

Natal origin and population connectivity of bigeye and yellowfin tuna in the Pacific Ocean

Rooker

Wells

Itano

et al. 2016

Fisheries Oceanography

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Natural chemical markers (stable isotopes and trace elements) in otoliths of bigeye tuna (Thunnus obesus) and yellowfin tuna (T. albacares) were used to investigate their origin and spatial histories in the western and central Pacific Ocean (WCPO). Otolith chemistry of young‐of‐the‐year (YOY) T. obesus and T. albacares from four regions in the WCPO was first determined and used to establish baseline chemical signatures for each region. Spatial variation in stable isotope ratios of YOY T. obesus and T. albacares was detected, with the most noticeable difference being depleted otolith δ18O values for both species from the far west equatorial and west equatorial regions relative to the central equatorial and Hawaii regions. Elemental ratios in otoliths were also quantified for YOY T. obesus and T. albacares collected in 2008, and several showed promise for distinguishing YOY T. obesus (Mg:Ca, Mn:Ca, and Ba:Ca) and T. albacares (Li:Ca and Sr:Ca). The natal origin of age‐1 to age‐2+ T. obesus and T. albacares was then determined for two regions of the WCPO, and mixed‐stock analysis indicated that T. obesus and T. albacares in our west equatorial sample were almost entirely from local production, with a minor contribution from central equatorial waters. Similarly, T. albacares collected in Hawaii were exclusively from local sources; however, a large fraction of T. obesus in Hawaii were classified to the central equatorial region, suggesting that the movement of migrants from outside production zones (i.e., south of Hawaii) are important to Hawaii's domestic fishery.

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“…O to determine the natal origin or environmental history of pelagic fishes, including tunas, is well established (Rooker et al 2008a, Wells et al 2012). Both of the markers used in the present study are particularly suitable for investigating the origin and movement of highly migratory fishes because latitudinal and longitudinal differences in seawater δ 13 C and δ…”

mentioning

confidence: 99%

Crossing the line: migratory and homing behaviors of Atlantic bluefin tuna

Rooker

Arrizabalaga²,

Fraile³

et al. 2014

Mar. Ecol. Prog. Ser.

Self Cite

122

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Assessment and management of Atlantic bluefin tuna Thunnus thynnus populations is hindered by our lack of knowledge regarding trans-Atlantic movement and connectivity of eastern and western populations. Here, we evaluated migratory and homing behaviors of bluefin tuna in several regions of the North Atlantic Ocean and Mediterranean Sea using chemical tags (δ 13 C and δ 18 O) in otoliths. Significant emigration of bluefin tuna from their place of origin was inferred from otolith δ 13 C and δ 18 O, with both eastern and western bluefin tuna commonly 'crossing the line' (45° W management boundary) in the Central North Atlantic Ocean and mixing with the other population. Several western migrants were also detected in Moroccan traps off the coast of Africa, indicating that trans-Atlantic movement occurs for members of the western population; however, the degree of mixing declined with proximity to the eastern spawning area (Mediterranean Sea). The origin of bluefin tuna collected at the entrance to the Strait of Gibraltar and from several regions within the Mediterranean Sea (Balearic Islands, Malta, and Sardinia) was essentially 100% eastern fish, demonstrating that natal homing is well developed by the eastern population, with western migrants rarely entering the Mediterranean Sea.

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Nursery origin of yellowfin tuna in the Hawaiian Islands

Cited by 40 publications

References 30 publications

Reliably discriminating stock structure with genetic markers: Mixture models with robust and fast computation

Reliably discriminating stock structure with genetic markers: Mixture models with robust and fast computation

Natal origin and population connectivity of bigeye and yellowfin tuna in the Pacific Ocean

Crossing the line: migratory and homing behaviors of Atlantic bluefin tuna

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