Abstract
We tested the use of otolith shape analysis to discriminate between species and stocks of five goby species (Ctenotrypauchen chinensis, Odontamblyopus lacepedii, Amblychaeturichthys hexanema, Chaeturichthys stigmatias, and Acanthogobius hasta) found in northern Chinese coastal waters. The five species were well differentiated with high overall classification success using shape indices (83.7%), elliptic Fourier coefficients (98.6%), or the combination of both methods (94.9%). However, shape analysis alone was only moderately successful at discriminating among the four stocks (Liaodong Bay, LD; Bohai Bay, BH; Huanghe (Yellow) River estuary HRE, and Jiaozhou Bay, JZ stocks) of A. hasta (50%–54%) and C. stigmatias (65.7%–75.8%). For these two species, shape analysis was moderately successful at discriminating the HRE or JZ stocks from other stocks, but failed to effectively identify the LD and BH stocks. A large number of otoliths were misclassified between the HRE and JZ stocks, which are geographically well separated. The classification success for stock discrimination was higher using elliptic Fourier coefficients alone (70.2%) or in combination with shape indices (75.8%) than using only shape indices (65.7%) in C. stigmatias whereas there was little difference among the three methods for A. hasta. Our results supported the common belief that otolith shape analysis is generally more effective for interspecific identification than intraspecific discrimination. Moreover, compared with shape indices analysis, Fourier analysis improves classification success during inter- and intra-species discrimination by otolith shape analysis, although this did not necessarily always occur in all fish species.
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References
Agüera A, Brophy D. 2011. Use of saggittal otolith shape analysis to discriminate Northeast Atlantic and western Mediterranean stocks of Atlantic saury, Scomberesox saurus saurus (Walbaum). Fish. Res., 110: 465–471.
Arechavala-Lopez P, Sanchez-Jerez P, Bayle-Sempere J T, Sfakianakis D G, Somarakis S. 2012. Discriminating farmed gilthead sea bream Sparus aurata and European sea bass Dicentrarchus labrax from wild stocks through scales and otoliths. J. Fish. Biol., 80: 2 159–2 175.
Begg G A, Overholtz W J, Munroe N J. 2001. The use of internal otolith morphometrics for identification of haddock (Melanogrammus aeglefinus) stocks on Georges Bank. Fish. Bull., 99: 1–14.
Bird J L, Eppler D T, Checkley D M. 1986. Comparisons of herring otoliths using Fourier-series shape-analysis. Can. J. Fish. Aquat. Sci., 43: 1 228–1 234.
Bolles K L, Begg G A. 2000. Distinction between silver hake (Merluccius bilinearis) stocks in U.S. waters of the northwest Atlantic based on whole otolith morphometrics. Fish. Bull., 98: 451–462.
Burke N, Brophy D, King P A. 2008a. Shape analysis of otolith annuli in Atlantic herring (Clupea harengus): a new method for tracking fish populations. Fish. Res., 91: 133–143.
Burke N, Brophy D, King P A. 2008b. Otolith shape analysis: its application for discriminating between stocks of Irish Sea and Celtic Sea herring (Clupea harengus) in the Irish Sea. ICES J. Mar. Sci., 65: 1 670–1 675.
Campana S E, Casselman J M. 1993. Stock discrimination using otolith shape analysis. Can. J. Fish. Aquat. Sci., 50: 1 062–1 083.
Capoccioni F, Costa C, Aguzzi J, Menesatti P, Lombarte A, Ciccotti E. 2011. Ontogenetic and environmental effects on otolith shape variability in three Mediterranean European eel (Anguilla anguilla, L.) local stocks. J. Exp. Mar. Biol. Ecol., 397: 1–7.
Cardinale M, Doering-Arjes P, Kastowsky M, Mosegaard H. 2004. Effects of sex, stock, and environment on the shape of known-age Atlantic cod (Gadus morhua) otoliths. Can. J. Fish. Aquat. Sci., 61: 158–167.
Chen D G. 1991. Fishery Ecology of the Bohai Sea and the Yellow Sea. Marine Press, Beijing. (in Chinese)
Chen S Y Y, Lestrel P E, Kerr W J S, McColl J H. 2000. Describing shape changes in the human mandible using elliptical Fourier functions. Eur. J. Orthodont., 22: 205–216.
Chu Y D, Luo Y L, Wu H L. 1963. Studies on the Taxonomy of Sciaenidae and Description of the New Species and Genera. Science and Technology Press of Shanghai, Shanghai. (in Chinese)
Crampton J S. 1995. Elliptic fourier shape-analysis of fossil bivalves—some practical considerations. Lethaia, 28: 179–186.
Dou S Z, Amano Y, Xin Y, Cao L, Shirai K, Otake T, Tsukamoto K. 2012b. Elemental signature in otolith nuclei for stock discrimination of anadromous tapertail anchovy (Coilia nasus) using laser ablation ICPMS. Environ. Biol. Fish., 95: 431–443.
Dou S Z, Yu X, Cao L. 2012a. Otolith shape analysis and its application in fish stock discrimination: a case study. Oceanol. Limnol. Sinica, 43: 702–712. (in Chinese with English abstract)
Ferguson G J, Ward T M, Gillanders B M. 2011. Otolith shape and elemental composition: complementary tools for stock discrimination of mulloway (Argyrosomus japonicus) in southern Australia. Fish. Res., 110: 75–83.
Fitch J E, Brownell R L. 1968. Fish otoliths in cetacean stomachs and their importance in interpreting feeding habits. J. Fish. Res. Board Can., 25: 2 561–2 574.
Gauldie R W, Nelson D G A. 1990. Otolith growth in fishes. Comp. Biochem. Physiol., A: Physiol., 97 A: 119–135.
Iwata H, Ukai Y. 2002. SHAPE: A computer program package for quantitative evaluation of biological shapes based on elliptic Fourier descriptors. J. Hered., 93: 384–385.
Kuhl F P, Giardina C R. 1982. Elliptic Fourier features of a closed contour. Comp. Graph. Ima. Proc., 18: 236–258.
L’Abée-Lund J H, Jensen A H. 1993. Otoliths as natural tags in the systematics of salmonids. Environ. Biol. Fish., 36: 389–393.
Lombarte A, Castellón A. 1991. Interspecific and intraspecific otolith variability in the genus Merluccius as determined by image analysis. Can. J. Zool., 69: 2 442–2 449.
Lombarte A, Lleonart J. 1993. Otolith size changes related with body growth, habitat depth and temperature. Environ. Biol. Fish., 37: 297–306.
Longmore C, Fogarty K, Neat F, Brophy D, Trueman C, Milton A, Mariani S. 2010. A comparison of otolith microchemistry and otolith shape analysis for the study of spatial variation in a deep-sea teleost, Coryphaenoides rupestris. Environ. Biol. Fish., 89: 591–605.
Lord C, Morat F, Lecomte-Finiger R, Keith P. 2012. Otolith shape analysis for three Sicyopterus (Teleostei: Gobioidei: Sicydiinae) species from New Caledonia and Vanuatu. Environ. Biol. Fish., 93: 209–222.
Monteiro L R, Beneditto A P M D, Guillermo L H, Rivera L A. 2005. Allometric changes and shape differentiation of sagittal otoliths in sciaenid fishes. Fish. Res., 74: 288–299.
Murie D J, Lavigne D M. 1991. Food consumption of wintering harp seals, Phoca groenlandica, in the St. Lawrence Estuary, Canada. Can. J. Zool., 69: 1 289–1 296.
Nasreddine K, Benzinou A, Fablet R. 2009. Shape geodesics for the classification of calcified structures: beyond Fourier shape descriptors. Fish. Res., 98: 8–15.
Parisi-Baradad V, Lombarte A, Garcia-Ladona E, Cabestany J, Piera J, Chic O. 2005. Otolith shape contour analysis using affine transformation invariant wavelet transforms and curvature scale space representation. Mar. Freshwater Res., 56: 795–804.
Parisi-Baradad V, Manjabacasa A, Lombarte A, Olivella R, Chic Ò, Piera J, García-Ladona E. 2010. Automated taxon identification of teleost fishes using an otolith online database-AFORO. Fish. Res., 105: 13–20.
Parmentier E, Vandewalle P, Lagardère F. 2001. Morphoanatomy of the otic region in carapid fishes: comorphological study of their otoliths. J. Fish Biol., 58: 1 046–1 068.
Piera J, Parisi-Baradad V, García-Ladona E, Lombarte A, Recasens L, Cabestany J. 2005. Otolith shape feature extraction oriented to automatic classification with open distributed data. Mar. Freshwater Res., 56: 805–814.
Ponton D. 2006. Is geometric morphometrics efficient for comparing otolith shape of different fish species? Comput. Vis. Imag. Underst., 267: 750–757.
Reichembacher B, Sienknecht U, Küchenhoff H, Fenske N. 2007. Combined otolith morphology and morphometry for assessing taxonomy and diversity in fossil and extant Killifish (Aphanius prolebias). J. Morphol., 268: 898–915.
Reig-Bolaño R, Marti-Puig R, Lombarte A, Soria J A, Parisi-Baradad V. 2010. A new otolith image contour descriptor based on partial reflection. Environ. Biol. Fish., 89: 579–590.
Reist J D. 1986. An empirical evaluation of coefficients used in residual and allometric adjustment of size covariation. Can. J. Zool., 64: 1 363–1 368.
SAS Institute Inc. 2004. SAS/STAT® 9.1 User’s Guide. Cary, NC: SAS Institute Inc.
Škeljo F, Ferri J. 2012. The use of otolith shape and morphometry for identification and size-estimation of five wrasse species in predator-prey studies. J. Appl. Ichthyol., 28: 524–530.
Smith S J, Campana S E. 2010. Integrated stock mixture analysis for continuous and categorical data, with application to genetic-otolith combinations. Can. J. Fish. Aquat. Sci., 67: 1 533–1 548.
Stransky C, MacLellan S E. 2005. Species separation and zoogeography of redfish and rockfish (genus Sebastes) by otolith shape analysis. Can. J. Fish. Aquat. Sci., 62: 2 265–2 276.
Stransky C, Murta A G, Schlickeisen J, Zimmermannc C. 2008. Otolith shape analysis as a tool for stock separation of horse mackerel (Trachurus trachurus) in the Northeast Atlantic and Mediterranean. Fish. Res., 89: 159–166.
Tracey S R, Lyle J M, Duhamel G. 2006. Application of elliptic Fourier analysis of otolith form as a tool for stock identification. Fish. Res., 77: 138–147.
Tuset V M, Lombarte A, Gonzales J A, Pertusa J F, Lorentes M J. 2003a. Comparative morphology of the sagittal otolith in Serranus spp. J. Fish. Biol., 63: 1 491–1 504.
Tuset V M, Lozano I J, González1 J A, Pertusa J F, García-Díaz1 M M. 2003b. Shape indices to identify regional differences in otolith morphology of comber, Serranus cabrilla (L., 1758). J. Appl. Ichthyol., 19: 88–93.
Tuset V M, Rosin P L. 2006. Sagittal otolith shape used in the identification of fishes of the genus Serrranus. Fish. Res., 81: 316–325.
Vignon M. 2012. Ontogenetic trajectories of otolith shape during shift in habitat use: Interaction between otolith growth and environment. J. Exp. Mar. Biol. Ecol., 420–421: 26–32.
Wang Y J, Ye Z J, Liu Q, Cao L. 2011. Stock discrimination of spottedtail goby (Synechogobius ommaturus) in the Yellow Sea by analysis of otolith shape. Oceanol. Limnol. Sinica, 29: 192–198.
Yu X, Cao L, Nan O, Zhao B, Dou S Z. 2013. Stock identification of Coilia mystus using otolith shape analysis. Oceanol. Limnol. Sinica, 44: 768–774. (in Chinese with English abstract)
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Supported by the National Natural Science Foundation of China (NSFC) (Nos. 40976084, U1406403, 41121064)
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Yu, X., Cao, L., Liu, J. et al. Application of otolith shape analysis for stock discrimination and species identification of five goby species (Perciformes: Gobiidae) in the northern Chinese coastal waters. Chin. J. Ocean. Limnol. 32, 1060–1073 (2014). https://doi.org/10.1007/s00343-015-4022-0
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DOI: https://doi.org/10.1007/s00343-015-4022-0