数学形态学在昆虫分类学上的应用研究.Ⅰ.在目级阶元上的应用研究

根据昆虫图像,对半翅目（Hemiptera）、鳞翅目（Lepidoptera）、鞘翅目（Coleoptera）的34种昆虫提取形状参数、叶状性、球状性等7项数学形态特征进行了统计分析,从而论证了各项数学形态特征在目级昆虫分类阶元上作为分类特征的可行性和可靠性,并从数学形态学角度对所涉及到的同阶元昆虫类群的亲缘关系做了描述。结果表明,在作为目级阶元分类特征时,各项特征的可靠性依次为：(似圆度、偏心率、亮斑数)＞(叶状性、球状性、圆形性)＞形状参数。由这些特征的差异显著性可知,从数学形态特征角度讲,3个目的亲缘关系远近大小依次为：半翅目与鞘翅目＞半翅目与鳞翅目＞鳞翅目与鞘翅目。

Use of math morphological features in insect taxonomy.I.At the order level

This paper evaluates the feasibility and reliability of assigning insects to orders according to math-morphological features (MMF) and describes kinship among the insects of various categories within the same taxonomic level from the perspective of mathematical morphology. Statistical analyses of 7 MMF (such as form factor, lobation, etc.) from images of 34 species of insects of the Hemiptera, Lepidoptera and Coleoptera were used in this evaluation. The results indicate that the ranked reliability of MMF for assigning insects to orders is, from high to low: roundness, eccentricity, hole number>lobation, sphericity, circularity>form factor. According to variation in each MMF, the kinship of the three orders examined could be ranked as follows: Hemiptera & Coleoptera>Hemiptera & Lepidoptera>Lepidoptera & Coleoptera.