Using otolith shape analysis to distinguish eastern Gulf of Mexico and Atlantic Ocean stocks of king mackerel

DeVries, Douglas A.; Grimes, Churchill B.; Prager, Michael H.

doi:10.1016/s0165-7836(01)00332-0

Cited by 104 publications

(92 citation statements)

References 24 publications

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“…They conducted an exhaustive study of all 3 types of otolith pairs in which they found evidence of structuring among spawning groups of Atlantic cod (Gadus morhua) in the Northwest Atlantic, in addition to differences in otolith shape among age groups, sexes, and year classes. Begg and Brown (2000) used otolith shapes to challenge successfully the assumption of a single stock of haddock (Melanogrammus aeglefinus) at Georges Bank, and DeVries et al (2002) clarified previous tag and genetic data when they used otoliths to successfully distinguish stocks of king mackerel (Scomberomorus cavalla) from the Gulf of Mexico and the Atlantic that were sampled during their winter mixing off southern Florida. More recently, otolith shape analysis has been done at varying spatial scales for dolphinfish (Coryphaena hippurus [Duarte-Neto et al, 2008]), North Atlantic saury (Scomberesox saurus saurus [Agüera and Brophy, 2011]), and anglerfish (Lophius piscatorius [Cañas et al, 2012]) to help clarify questions about geographic population structure.…”

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confidence: 90%

Southern flounder (Paralichthys lethostigma) stock structure inferred from otolith shape analysis

Midway¹,

Cadrin²,

Scharf³

2014

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Abstract-Examination of otolith morphometric variation has been shown to provide improved descriptions of stock structure for several marine fish species. We examined spatial variation in otolith shape of southern flounder (Paralichthys lethostigma) to understand population structure at the following geographic levels: ocean basin (Atlantic and Gulf of Mexico); regional coastal waters (Texas, Florida) and (Georgia, South Carolina); and local coastal waters (North Carolina). To reduce variability, we considered only age-1 female fish. From digitized otolith images, we extracted descriptions for common shape indices and elliptical Fourier coefficients and found strong evidence for differences at the ocean basin scale, but only weak evidence for structure at either within-basin (i.e., among states) or within-state (local) spatial scales. Our finding of inferred stock structure differences between the ocean basins aligns with the geographic break in the distribution of this species-the absence of this species from the southern portion of Florida-as well as with recent genetic findings. Currently, state-level management of southern flounder in both areas does not account for any basin-wide population mixing and, therefore, by default, assumes a separate unit stock for each state, although our findings indicate that mixing could be extensive. Additional sources of information (e.g., genetics, life history traits) collected at appropriate spatial scales should be examined to confirm suspected levels of mixing and to determine suitable management strategies for the conservation of southern flounder stocks throughout their ranges.

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confidence: 90%

Southern flounder (Paralichthys lethostigma) stock structure inferred from otolith shape analysis

Midway¹,

Cadrin²,

Scharf³

2014

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“…Paul et al 2013;Keating et al 2014). In some cases these measurements are supplemented with, or normalised by, measures such as fish length or weight (DeVries et al 2002;Stransky 2005;Mérigot et al 2007). Otolith boundaries are also extracted and represented, or encoded in different ways (transformed) prior to analysis with methods such as Fourier transforms (Begg and Brown 2000;Galley et al 2006;Bani et al 2013); and Elliptical Fourier transforms (Campana and Casselman 1993;Duarte-Neto et al 2008).…”

Section: Introductionmentioning

confidence: 99%

Otolith shape and size: The importance of age when determining indices for fish-stock separation

et al. 2017

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Stock-separation of highly mobile Clupeids (sprat -Sprattus sprattus and herringClupea harengus) using otolith morphometrics was explored. Analysis focused on three stock discrimination problems with the aim of reassigning individual otoliths to source populations using experiments undertaken using a machine learning environment known as WEKA (Waikato Environment for Knowledge Analysis). Six feature sets encoding combinations of size and shape together with nine learning algorithms were explored. To assess saliency of size/shape features half of the feature sets included size indices, the remainder encoded only shape. Otolith sample sets were partitioned by age so that the impact of age on classification accuracy could be assessed for each method. In total we performed 540 experiments, representing a comprehensive evaluation of otolith morphometrics and learning algorithms. Results show that for juveniles, methods encoding only shape performed well, but those that included size indices held more classification potential. However as fish age, shape encoding methods were more robust than those including size information. This study suggests that methods of stock discrimination based on early incremental growth are likely to be effective, and that automated classification techniques will show little benefit in supplementing early growth information with shape indices derived from mature outlines.

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“…The results of the present study show that it is possible to differentiate the Pacific sierra S. sierra from the gulf sierra S. concolor based on otolith shape. This method has also been used to identify stocks in the population of S. cavalla exploited in the Gulf of Mexico (DeVries et al, 2002) and in the population of S. sierra in the Gulf of California (Ramírez-Pérez et al, 2010). Given that otoliths are structures that store information and allow the history of the fish´s life to be understood (Campana and Thorrold, 2001;Elsdon et al, 2008), the implementation of additional analyses concerning their chemical composition would enable studies that address the ecology, migration, mixing of stocks, feeding and spawning zones (Rooker et al, 2003;Petterson et al, 2004).…”

Section: Discussionmentioning

confidence: 99%

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Ram�rez-P�rez¹,

Garc�a-Rodr�guez²,

Qui�onez-Vel�zquez³

et al. 2015

Turk. J. Fish. Aquat. Sci.

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This study addresses variations of mtDNA and otolith morphometrics in Scomberomorus concolor and Scomberomorus sierra collected along the Mexican Pacific Coast and Gulf of California (GC) in 2002, 2007 and 2008. The catches of GC are reported without distinguishing species, serious problem account that S. concolor is included in the red list by the IUCN. For molecular identification a 592 bp fragment of the 16SrRNA gene was used, and a 410 bp fragment from the mtDNA control region was analysed. The 16SrRNA analysis gene generated two clades, corresponding to each species, which could only be distinguished from two nucleotide sites. The mtDNA sequences maintained the detected lineages, even when both species presented elevated polymorphism in relation to their levels of divergence. For morphometric analysis, a first analysis included samples of fish obtained in 2007 that were genetically identified. A second analysis included fish captured in the central GC that were identified using meristic criteria. Both shape analysis, generated statistically significant classification, the allocation per species was 100%, whereas the allocation of the fish identified using meristic characters was 95%. The deformation grids identified the dorsal zone of the otolith as the origin of the discrimination between species and the criterion for separation.

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Using otolith shape analysis to distinguish eastern Gulf of Mexico and Atlantic Ocean stocks of king mackerel

Cited by 104 publications

References 24 publications

Southern flounder (Paralichthys lethostigma) stock structure inferred from otolith shape analysis

Southern flounder (Paralichthys lethostigma) stock structure inferred from otolith shape analysis

Otolith shape and size: The importance of age when determining indices for fish-stock separation

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