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基于角质颚长度的头足类种类鉴定
刘必林1, 陈新军2,1, 方舟2,1, 金岳1
1.上海海洋大学海洋科学学院;2.远洋渔业协同创新中心
摘要:
本文根据2013年8月于舟山市沈家门东河菜场采集的5种近海常见经济头足类(剑尖枪乌贼、杜氏枪乌贼、金乌贼、曼氏无针乌贼和短蛸),利用逐步判别和主成分分析法对其上、下角质颚的各5种长度指标(喙长、头盖长、脊突长、侧壁长、翼长)进行分析。结果显示,这5种头足类角质颚长度差异显著(ANOVA: p < 0.001),其中以金乌贼的角质颚最大,短蛸的角质颚最小。判别分析显示,角质颚长度适合用来鉴定头足类种类,综合判别成功率为96.2%,其中以上颚侧壁长、上颚头盖长和下颚脊突长对判定的贡献率最高。然而,与之相比,标准化后的角质颚长度则更适合,综合判别成功率达到100%,其中以标准化下颚喙长和标准化下颚翼长对判定的贡献率最高。主成分分析显示,角质颚长度及标准化后长度对枪乌贼类和乌贼类的判定成功率均达到100%。本文最终开发了一种基于角质颚长度判别分析法的头足类种类判定的新方法,丰富了头足类种类鉴定的技术手段,为我国学者在相关领域的研究提供了基础。
关键词:  角质颚  头足类  逐步判别分析  主成分分析  种类鉴定
DOI:10.11693/hyhz20150100011
分类号:
基金项目:国家教育部博士点基金;国家自然科学基金项目(面上项目,重点项目,重大项目)
Species identification of cephalopods based on beak morphometry
Liu Bi-lin1, Chen Xin-jun2,1, Fang zhou2,1, Jin yue1
1.College of Marine Sciences,Shanghai Ocean University;2.Collaborative Innovation Center for Distant-water Fisheries,Shanghai,
Abstract:
In this study, beak morphometric variables (Rostrum, Hood, Crest, Lateral wall and Wing length of upper and lower beaks) for five economic cephalopods (Uroteuthis edulis, Uroteuthis duvauceli, Sepia esculenta, Sepiella maindroni and Octopus ocellatus) from the coastal waters of China were used to make stepwise discriminant analysis (SDA) and principal component analysis (PCA). Univariate analyses of variance (ANOVA) showed that all measured beak variables are specific difference significantly (p < 0.001), with S. esculenta having the largest beak and O. ocellatus having the smallest beak. SDA suggested that beak variables are useful for species identification with upper lateral wall length (ULWL), upper hood length (UHL) and lower crest length (LCL) contributing to the most of the variations, and the overall cross-validation classification rate was 96.2%. In contrast, standardized beak variables showed more effective than original beak variables according to higher reclassification rate (100%) where standardized lower rostrum length (LRLs) and standardized lower wing length (LWLs) contributed the most of the variations. PCA showed that the corrected classification rate are both reach to 100% when original and standardized beak variables were used in the identifying species of loliginids and cuttlefishes. In summary, we developed a new method to determine cephalopod species, which will provide some useful information for the research in relevant fields of Chinese scholars.
Key words:  Beak, Cephalopod, Stepwise  discriminant analysis, Principal  component analysis, Species  identification
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