基于蛾翅翅脉特征的夜蛾昆虫数字化分类研究(鳞翅目：夜蛾科)

Digital classification of noctuid moths( Lepidoptera: Noctuidae) base on wings vein characteristics

本文以夜蛾昆虫为研究对象,利用蛾右前翅翅脉特征对7种夜蛾昆虫进行数字化分类研究。首先,利用软件tpsDig2提取蛾翅翅室周围翅脉交点作为标记点;再利用普世叠加方法消除非形状因素等信息,计算出每一个翅脉交点与初始交点的距离作为特征参数;最后,利用方差分析和逐步判别分析验证各项特征参数对7种夜蛾进行分类的可行性、有效性和重要性。研究结果表明,筛选出5项特征参数可以作为分类变量,其作用大小依次为:(Dis_(16)、Dis_(17))>(Dis_(13)、Dis_(15))>Dis_(12),原始判别和交叉判别结果的正确率分别为96.2%和96.2%。这说明蛾翅翅脉的特征参数可用于蛾类昆虫的数字化分类鉴定。

This study was performed on noctuid moths and vein characteristics of the right forewings were adopted to classify seven noctuid species. Firstly,junctions of veins around cell wing from the seven noctuid species were selected as landmarks by using software tps Dig2. Then,procrustes superimposition was applied to remove non-shape variation from the landmark coordinates,and the distance between initial node and each vein node was calculated as characteristic parameters. Last, variance analysis and stepwise discriminant analysis methods were used to study the feasibility, validity and importance of each characteristic parameter as classification criterions on the seven noctuid species. The results showed that five characters were selected as the classification variables. The contribution of these variables could be ranked as follows：（ Dis16,Dis17） （ Dis13,Dis15） Dis12. Accuracies of original and the intersecting discriminant analysis were 96. 2% and 96. 2% respectively. The results indicated that vein characteristics parameters of moth wings could be used for digital identification of moths.