Comparison of otolith shape descriptors and morphometrics for stock discrimination of yellow croaker along the Chinese coast

Song, Junjie; Zhao, Bo; Lü, Jinhu; Cao, Liang; Dou, Shuozeng

doi:10.1007/s00343-018-7228-0

Cited by 5 publications

(17 citation statements)

References 37 publications

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“…The EFd only provides a global approximation to the original shape and outline variability and could not detect specific regions of the otolith (Song et al, 2018). On the contrary, DWd being a multiscale analysis, with spatial and frequency localisation properties (Libungan & Pálsson, 2015a), allows the identification of specific morphological points (landmarks) along the contour (Lombarte et al, 2006;Parisi-Baradad et al, 2005).…”

Section: Discussionmentioning

confidence: 99%

Comparing otolith shape descriptors for population structure inferences in a small pelagic fish, the European sardineSardina pilchardus(Walbaum, 1792)

Neves

Veríssimo²,

Santos

et al. 2023

Journal of Fish Biology

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Otolith shape analysis has been one of the most used approaches to study population structure in the past decades. Currently, two sets of shape descriptors are used to perform otolith shape analysis, namely, Elliptic Fourier descriptor (EFd), which focuses on the overall otolith shape differences, and Discrete Wavelet descriptor (DWd), which is sensible to local differences along the otolith contour. Here, the authors conducted a comparative analysis of the performance of both the descriptors in reconstructing the population structure and connectivity patterns in a small pelagic fish species with a wide geographical distribution and fast growth rate, the European sardine Sardina pilchardus (Walbaum, 1792), for the first time. A combination of each otolith shape descriptor and shape indices was explored using multivariate statistical methods. The two otolith shape descriptors showed similar, although limited, overall classification success associated with the population dynamic characteristics of the species. Both descriptors point to migration among adjacent areas, such as northern Atlantic locations, eastern Mediterranean and even across well-defined physical obstacles, such as the Strait of Gibraltar, among Atlantic and western Mediterranean locations. Both descriptors supported the division of the populations of Mediterranean waters into three main groups but slightly differed in the group limits of the Atlantic waters. A comparison of the present results with those from previous otolith shape analysis studies using EFd on a decadal time scale revealed differences in the population structure and connectivity patterns compared to the earlier period.These differences not only may be attributed to changes in environmental variables leading to changes in population dynamics but can also be the result of the sardine biomass sharp decrease that occurred in the past decade.

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Section: Discussionmentioning

confidence: 99%

Comparing otolith shape descriptors for population structure inferences in a small pelagic fish, the European sardineSardina pilchardus(Walbaum, 1792)

Neves

Veríssimo²,

Santos

et al. 2023

Journal of Fish Biology

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“…Otolith morphology and shape analysis are often used for stock discrimination (Campana and Casselman, 1993;Begg and Brown, 2000;Vignon and Morat, 2010;Bostancı et al 2015;Zengin et al, 2015;Pavlov 2016;Avigliano et al, 2017;Saygiın et al, 2017;Bostancı and Yedier, 2018;Song et al, 2018Song et al, , Özpiçak et al, 2018Yedier et al, 2019). The morphometrics (e.g., weight, length, breadth, perimeter, area) of otoliths are usually correlated with each other.…”

Section: Discussionmentioning

confidence: 99%

“…The otolith shape analysis is becoming increasingly popular in population studies, as is evidenced by the large number of papers published. When the literature were investigated, there were a lot of study about otolith shape and morphometrics of different fish species (Torres et al, 2000;Tuset et al, 2003;Zischke et al, 2016;Afanasyev et al, 2017;Avigliano et al, 2017;Song et al, 2018;Özpiçak et al, 2018;Doustdar et al, 2019;Moreira et al, 2019;Neves et al, 2019;Yedier et al, 2019). The otolith shape analysis' major advantages is the relatively low cost of analysis as compared to genetic research.…”

Section: Discussionmentioning

confidence: 99%

“…Stock identification is a basic requirement to describe the stock status and to support better stock assessment of fishery (Cadrin et al, 2005).Otolith shape analysis is a basic method for seperating fish stocks. Also there are a lot of studies about intraspecific variations of fish stocks from otolith shape (Vignon and Morat, 2010;Bostancı et al 2015;Zengin et al, 2015;Hüssy et al, 2016;Avigliano et al, 2017;Saygin et al, 2017;Bostancı and Yedier, 2018;Song et al, 2018;Yedier et al, 2019). Otoliths are innate data archives that document information in their microstructure and chemistry at different spatial and temporal scales related to their growth and environment (Miyan et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

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Otolith Shape Analysis of Bluefish, Pomatomus saltatrix (Linnaeus, 1766) in the Black Sea Region (Samsun, Turkey)

Özpiçak

Saygın

Polat

2019

Acta Aquatica Turcica

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In this study, otolith shape indices and relationships between otolith shape and otolith length of the bluefish Pomatomus saltatrix (Linnaeus, 1766), which was sampled from the Samsun offshore of the Black Sea were investigated. A total of 166 samples (94♀ and 72♂) were taken from commercial fishermen in two different fishing seasons (October-December 2014 and January 2018). Sagittal otoliths of each sample were removed and six different shape index (form factor, roundness, circularity, rectangularity, ellipticity and aspect ratio) were used in analyses. The linear model is preferred for calculating the relationships between otolith shape properties and otolith length. Paired t-test, Wilcoxon test, Independent t test and Mann-Whitney U test were used for statistical analysis. The minimum and maximum total lengths and weights of the captured samples are between 13.5-24.8 cm and 22.01-161.19 g, respectively. There is no difference between female and male in terms of total length and weight. When otolith dimensions of female and male were compared, there were no differences in terms of otolith length (OL), otolith breadth (OB), otolith perimeter (OP) and otolith area (OA) (P˃0.05). However, according to left and right otoliths comparisons, there were differences in terms of otolith breadth and otolith perimeter (P˂0.05). Ellipticity was found to have a much stronger relationship with otolith length than the other five parameters (r 2 ˃0.590).

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“…They are primarily made up of calcium carbonate matrix comprising of calcium, oxygen and carbon (Campana, 1999) and are the first calcified tissues which develop in the embryonic stage of fishes (Radtke and Dean, 1981). Otolith science has wide applications in fish ecomorphology (Volpedo and Echevernia, 2003), paleontology (Nolf and Brzobohaty, 2009), age determination (Ilkyaz et al, 2011), daily and annual growth (Fowler, 1990) and stock delineation (Burke et al, 2008;Aguera and Brophy, 2011;Legua et al, 2013;Avigliano et al, 2017;Ladroit et al, 2017;Song et al, 2018). As otolith size and shape vary between species (Campana and Thorrold, 2001), it can be utilised as a taxonomical character for species identification (Afanasyev et al, 2017) as well as in evolution and phylogeny (Lombarte et al, 2010;Nolf, 2013).…”

Section: Introductionmentioning

confidence: 99%

Otoliths as taxonomic tool to identify catfishes of the genus Mystus (Teleostei: Bagridae) from India

Nair

Gangan²,

Raut³

et al. 2021

Indian J. Fish.

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To contribute to the clarification of taxonomy of bagrid catfishes belonging to the genus Mystus, the lapillus otoliths of five species (Mystus armatus, M. malabaricus, M. cavasius, M. gulio and M. tengara), using various otolith shape indices such as circularity, ellipticity, rectangularity and form factor were compared. Among the indices studied, rectangularity and form factor bestowed maximum F-ratio of 49.223 and 30.621, respectively, contributing maximum to species discrimination. The F-ratio for circularity, ellipticity, rectangularity, form factor and roundness were found to be 4.154, 28.735, 30.621, 49.223 and 14.58, respectively. The shape indices studied varied significantly among the five species. Cross validation by discriminant analysis of otolith shape data explained 100%variability by the first four functions. The jack-knifed classification matrix identified that the original groups are correctly classified to an extent of 68.6%. The description provided in this article will serve as a baseline database for bagrid otolith of the genus Mystus.

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Comparison of otolith shape descriptors and morphometrics for stock discrimination of yellow croaker along the Chinese coast

Cited by 5 publications

References 37 publications

Comparing otolith shape descriptors for population structure inferences in a small pelagic fish, the European sardineSardina pilchardus(Walbaum, 1792)

Comparing otolith shape descriptors for population structure inferences in a small pelagic fish, the European sardineSardina pilchardus(Walbaum, 1792)

Otolith Shape Analysis of Bluefish, Pomatomus saltatrix (Linnaeus, 1766) in the Black Sea Region (Samsun, Turkey)

Otoliths as taxonomic tool to identify catfishes of the genus Mystus (Teleostei: Bagridae) from India

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