Application of otolith shape analysis for stock discrimination and species identification of five goby species (Perciformes: Gobiidae) in the northern Chinese coastal waters

Xin Yu; Liang Cao; Jinhu Liu; Bo Zhao; Xiujuan Shan; Shuozeng Dou

doi:10.1007/s00343-015-4022-0

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Application of otolith shape analysis for stock discrimination and species identification of five goby species (Perciformes: Gobiidae) in the northern Chinese coastal waters

Updated：2023-05-16

- Application of otolith shape analysis for stock discrimination and species identification of five goby species (Perciformes: Gobiidae) in the northern Chinese coastal waters
- Journal of Oceanology and Limnology Vol. 32, Issue 5, Pages: 1060-1073(2014)
- Affiliations：
  
  1. Key Laboratory of Marine Ecology and Environmental Sciences Institute of Oceanology Chinese Academy of Sciences
  2. University of Chinese Academy of Sciences
  3. Yellow Sea Fisheries Research Institute Chinese Academy of Fishery Sciences
- Author bio：
- Funds：
- DOI：10.1007/s00343-015-4022-0
  CLC：
- Online First：11 July 2014，
  
  Published：2014
- Accepted：
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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
DOI：

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 DOI：

摘要

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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