兽类学报 ›› 2020, Vol. 40 ›› Issue (3): 282-289.DOI: 10.16829/j.slxb.150386

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䶄属(啮齿目,仓鼠科)同域分布物种形态学鉴别特征组的筛选

Sergey Gashev1, Fania Betlyaeva1, Natalya Sorokina1, Elena Bykova2, Juri Kurhinen 3,4   

  1. 1 Department of Zoology and Evolutionary Ecology of Animals, Institute of Biology, Tyumen State University, Tyumen, Russian Federation
    2 Institute of Zoology, Academy of Sciences of the Republic of Uzbekistan, Tashkent, Uzbekistan
    3 Mathematical Biology Group, Department of Biosciences, University of Helsinky, Finland
    4 Forest Research Institute, Karelian Research Centre, Russian Academy of Sciences, Petrozavodsk, Russian Federation
  • 出版日期:2020-05-30 发布日期:2020-05-28

A diagnostic complex of features used to identify voles Myodes (Rodentia, Circetidae) in their sympatric areas

Sergey Gashev, Fania Betlyaeva, Natalya Sorokina, Elena Bykova, Juri Kurhinen   

  1. 1 Department of Zoology and Evolutionary Ecology of Animals, Institute of Biology, Tyumen State University, Tyumen, Russian Federation
    2 Institute of Zoology, Academy of Sciences of the Republic of Uzbekistan, Tashkent, Uzbekistan
    3 Mathematical Biology Group, Department of Biosciences, University of Helsinky, Finland
    4 Forest Research Institute, Karelian Research Centre, Russian Academy of Sciences, Petrozavodsk, Russian Federation
  • Online:2020-05-30 Published:2020-05-28

摘要:

现有的分类系统尚缺乏可用于减少䶄属物种种间鉴定不确定性的形态学鉴别特征。鉴于此,本研究旨在筛选出能够对同域分布的棕背䶄(Myodes rufocanus), 红背䶄(M. rutilus)和堤岸䶄(M. glareolus)进行可靠鉴定的头骨形态指标和方法。为了达到以上目的,本文一方面筛选出能够用于种间鉴别的头骨和齿列形态特征,另一方面提出可用于鉴别以上三个物种的计算公式。对不同研究者提出来用于鉴别以上三个同域分布物种的35个特征进行筛选。头骨形态测量数据的获取需要花费较长的时间,而且结果变异很大。在本研究中,在分析中剔除15个形态特征,20个相对保守的特征被选择用于分析(包括来自头盖骨、牙齿和头骨其它部位的特征)。在20个特征中,有8个特征被选择出来,并使用Statistica 10 计算出判别公式。这些特征使准确鉴定不同个体各自所属种类成为可能。

关键词: ?属, 头盖骨特征, 判别分析

Abstract:

Currently, no features of Red-backed Voles allow to reduce the ambiguity in the process of species identification. In this regard, the aim of this study is to develop a method for reliable identification of three sympatric species of voles (Myodes rufocanus, M. rutilus and M. glareolus). For this, the following objectives were achieved: 1) identification of features for the diagnosis of species; 2) composition of discrimination equations for each species. The 35 features proposed by various authors were studied to classify three species of red-backed voles, which are sympatric in most of their range. The acquisition of the craniodental measurements showed to be time-consuming and the results were highly variable: 15 features were chose to be excluded in the present analysis. A diagnostic complex of the 20 most conservative (i.e. cranial, odontologic and others) features was used in the analysis. Out of the 20 features, eight were proposed with discriminant equations developed by the program Statistica 10, which made it possible to sort individuals confidently into their respective species.

Key words: Myodes, Cranial features, Discriminant analysis