| 摘要: |
| 以亚种为分类单位,对中国鹎科鸟类32个亚种进行了数值分类。共选择44个数量性状、40个质量性状和44个比例性状,用4种聚类方法计算。表明:以质量性状的分类结果最好。综合性状(质量性状加数量性状)的分类对鹎科的传统分类提出了新建议:将原来的4个属合并为2个属,将原来的5个亚种分成3个独立的种。 |
| 关键词: 数值分类 鹎科 鸟纲 |
| DOI： |
| 投稿时间：1993-04-30 |
| 基金项目:硕士学位论文 |
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| Numerical Taxonomy of the Family Pycnonotidae(Aves)Found in China |
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| Abstract: |
| Thirty-two subspecies of the family Pycnonotidae found in China have been classified by means of numerical taxonomic methods.Fourty-four quantitative,fourty qualitative and fourty-four propor- tional morphological characters from adult specimens in thirty-three Operational Taxonomic Units(OTU) were selected.Four cluster analysis methods were employed for the classification.The results of cluster analysis showed that the classification based on qualitative characters was the most optimal.The classifica- tion... |
| Key words: numerical taxonomy Pycnonotidae Aves |
