中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Comparison of otolith shape descriptors and morphometrics for stock discrimination of yellow croaker along the Chinese coast

文献类型:CNKI期刊论文

作者Song JJ(宋骏杰); Zhao B(赵博); Liu JH(刘金虎); Cao L(曹亮); Dou SZ(窦硕增)
发表日期2018-09-15
出处Journal of Oceanology and Limnology
关键词otolith stock discrimination discrete wavelet transform elliptic Fourier transform morphometrics Larimichthys polyactis
英文摘要T his study compared and evaluated the efficiency of two otolith shape descriptors(i.e., the elliptic Fourier transform(EFT) and discrete wavelet transform(DWT)) and morphometrics for stock discrimination. To accomplish this, sample fish from three stocks of yellow croaker L arimichthys polyactis along the Chinese coast(LDB stock from the Liaodong Bay of the Bohai Sea, JZB stock from the Jiaozhou Bay of the Yellow Sea and CJE stock from the Changjiang River estuary of the East China Sea) were used for otolith morphology analyses. The results showed that morphometrics produced an overall classification success rate of 70.8% in contrast with success rates of 80.0% or 82.0% obtained using EFT or DWT, respectively. This suggests that the two shape descriptors comparably discriminated among the stocks and performed more efficiently than morphometrics. During data adjustment and acquisition, some size variables were excluded from the subsequent discriminant analysis for stock discrimination because they were statistically "inef fective," which could reduce the efficiency of morphometrics and lead to relatively low overall classification success. Both EFT and DWT retain the contour coefficients and thus provide a detailed description of otolith shape, which could improve discriminatory efficiency compared with morphometrics.
文献子类CNKI期刊论文
资助机构Supported by the National Key Basic Research Program of China(973 Program)(No.2015CB453302) ; the NSFC-Shandong Joint Fund for Marine Science Research Centre(No.U1606404) ; the Aoshan Science and Technology Innovation Project(No.2015ASKJ02-04)
v.36期:05页:414-423
语种英文;
分类号S917.4
ISSN号2096-5508
源URL[http://ir.qdio.ac.cn/handle/337002/188830]  
专题中国科学院海洋研究所
作者单位1.LaboratoryforMarineEcologyandEnvironmentalScience,QingdaoNationalLaboratoryforMarineScienceandTechnology
2.CASKeyLaboratoryofMarineEcologyandEnvironmentalSciences,InstituteofOceanology,ChineseAcademyofSciences
3.UniversityofChineseAcademyofSciences
推荐引用方式
GB/T 7714
Song JJ,Zhao B,Liu JH,et al. Comparison of otolith shape descriptors and morphometrics for stock discrimination of yellow croaker along the Chinese coast. 2018.

入库方式: OAI收割

来源:海洋研究所

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