Evaluation of removal of the size effect using data scaling and elliptic Fourier descriptors in otolith shape analysis, exemplified by the discrimination of two yellow croaker stocks along the Chinese coast

Bo Zhao; Jinhu Liu; Junjie Song; Liang Cao; Shuozeng Dou

doi:10.1007/s00343-017-6012-x

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Evaluation of removal of the size effect using data scaling and elliptic Fourier descriptors in otolith shape analysis, exemplified by the discrimination of two yellow croaker stocks along the Chinese coast

OriginalPaper | Updated：2023-05-16

- Evaluation of removal of the size effect using data scaling and elliptic Fourier descriptors in otolith shape analysis, exemplified by the discrimination of two yellow croaker stocks along the Chinese coast
- Evaluation of removal of the size effect using data scaling and elliptic Fourier descriptors in otolith shape analysis, exemplified by the discrimination of two yellow croaker stocks along the Chinese coast
- 海洋湖沼学报（英文） 2017年35卷第6期页码：1482-1492
- 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. Laboratory for Marine Ecology and Environmental Science Qingdao National Laboratory for Marine Science and Technology
- Author bio：
- Funds：
  
  Supported by the National Basic Research Program of China (973 Program) (No. 2015CB453302), the NSFC-Shandong Joint Fund for Marine Science Research Centre (No. U1606404), and the Aoshan Science and Technology Innovation Project (No. 2015ASKJ02-04)
- DOI：10.1007/s00343-017-6012-x
  中图分类号：
- 网络首发：2017-01-26，
  
  纸质出版：2017
- Accepted：
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Evaluation of removal of the size effect using data scaling and elliptic Fourier descriptors in otolith shape analysis, exemplified by the discrimination of two yellow croaker stocks along the Chinese coast[J]. 海洋湖沼学报（英文）, 2017,35(6):1482-1492.

Zhao, B., Liu, J., Song, J. et al. Evaluation of removal of the size effect using data scaling and elliptic Fourier descriptors in otolith shape analysis, exemplified by the discrimination of two yellow croaker stocks along the Chinese coast., Chin. J. Ocean. Limnol. 35, 1482–1492 (2017). https://doi.org/10.1007/s00343-017-6012-x
Evaluation of removal of the size effect using data scaling and elliptic Fourier descriptors in otolith shape analysis, exemplified by the discrimination of two yellow croaker stocks along the Chinese coast[J]. 海洋湖沼学报（英文）, 2017,35(6):1482-1492. DOI： 10.1007/s00343-017-6012-x.

Zhao, B., Liu, J., Song, J. et al. Evaluation of removal of the size effect using data scaling and elliptic Fourier descriptors in otolith shape analysis, exemplified by the discrimination of two yellow croaker stocks along the Chinese coast., Chin. J. Ocean. Limnol. 35, 1482–1492 (2017). https://doi.org/10.1007/s00343-017-6012-x DOI：

摘要

Abstract

Removal of the length effect in otolith shape analysis for stock identification using length scaling is an important issue; however

few studies have attempted to investigate the effectiveness or weakness of this methodology in application. The aim of this study was to evaluate whether commonly used size scaling methods and normalized elliptic Fourier descriptors (NEFDs) could effectively remove the size effect of fish in stock discrimination. To achieve this goal

length groups from two known geographical stocks of yellow croaker

Larimichthys polyactis

along the Chinese coast (five groups from the Changjiang River estuary of the East China Sea and three groups from the Bohai Sea) were subjected to otolith shape analysis. The results indicated that the variation of otolith shape caused by intra-stock fish length might exceed that due to inter-stock geographical separation

even when otolith shape variables are standardized with length scaling methods. This variation could easily result in misleading stock discrimination through otolith shape analysis. Therefore

conclusions about fish stock structure should be carefully drawn from otolith shape analysis because the observed discrimination may primarily be due to length effects

rather than differences among stocks. The application of multiple methods

such as otoliths shape analysis combined with elemental fingering

tagging or genetic analysis

is recommended for sock identification.

关键词

Keywords

references

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