Numerical Taxonomy and Bayes Discriminant Analysis on 42 Fossil Species in Dicksoniaceae from China
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  • 英文篇名:Numerical Taxonomy and Bayes Discriminant Analysis on 42 Fossil Species in Dicksoniaceae from China
  • 作者:XIN ; Cunlin ; WANG ; Jingjing ; WANG ; Luhan ; ZHANG ; Yamei
  • 英文作者:XIN Cunlin;WANG Jingjing;WANG Luhan;ZHANG Yamei;College of Geography and Environmental Science, Northwest Normal University;
  • 英文关键词:Dicksoniaceae;;fossil plants;;numerical taxonomy;;Bayes discriminant analysis;;China
  • 中文刊名:DZXW
  • 英文刊名:地质学报(英文版)
  • 机构:College of Geography and Environmental Science, Northwest Normal University;
  • 出版日期:2019-02-15
  • 出版单位:Acta Geologica Sinica(English Edition)
  • 年:2019
  • 期:v.93
  • 基金:support from the National Natural Science Foundation of China(Grant No41262001);; the Science and Technology Support Fund of Gansu Province(Grant No.1104FKCA116)
  • 语种:英文;
  • 页:DZXW201901013
  • 页数:16
  • CN:01
  • ISSN:11-2001/P
  • 分类号:187-202
摘要
As the basal group of Polypodiales, the specific taxonomy of Dicksoniaceae is still being debated. As aquantitative analysis method, numerical taxonomy has been applied to the taxonomic study of many plant families andgenera in recent years due to its simplicity and high accuracy. However, the numerical analysis of the Dicksoniaceae fossilshas not been reported at present. In the present study, the pinnule morphological data of 42 Mesozoic fossil species of theDicksoniaceae were analyzed using cluster analysis, principal component analysis and correlation analysis. The resultsrevealed that 42 taxonomic units could be divided into six representative groups, which are consistent with the traditionaltaxonomy. After screening, an identification key on 28 fossil species of four genera with a definite taxonomic position wasestablished. According to the quantitative analysis, a Bayes discriminant model was established for the selected species.Lastly, the model was tested using the morphological data of the fossil pinnules in Dicksoniaceae from the YaojieFormation, suggesting that the discriminant model is accurate to a certain extent. As a result, the numerical taxonomy canbe applied to the classification of the Dicksoniaceae fossils.
        As the basal group of Polypodiales, the specific taxonomy of Dicksoniaceae is still being debated. As aquantitative analysis method, numerical taxonomy has been applied to the taxonomic study of many plant families andgenera in recent years due to its simplicity and high accuracy. However, the numerical analysis of the Dicksoniaceae fossilshas not been reported at present. In the present study, the pinnule morphological data of 42 Mesozoic fossil species of theDicksoniaceae were analyzed using cluster analysis, principal component analysis and correlation analysis. The resultsrevealed that 42 taxonomic units could be divided into six representative groups, which are consistent with the traditionaltaxonomy. After screening, an identification key on 28 fossil species of four genera with a definite taxonomic position wasestablished. According to the quantitative analysis, a Bayes discriminant model was established for the selected species.Lastly, the model was tested using the morphological data of the fossil pinnules in Dicksoniaceae from the YaojieFormation, suggesting that the discriminant model is accurate to a certain extent. As a result, the numerical taxonomy canbe applied to the classification of the Dicksoniaceae fossils.
引文
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