Enhanced Halictidae Identification: Elliptic Fourier Analysis of a New Taxonomic Character

Halictidae is one of the most diverse bee families, with approximately 3500 species worldwide. This study investigates the taxonomic utility of hind wing venation patterns in distinguishing between genera within the family Halictidae. By examining the intersection areas of specific veins (Rs-M and M+cu) on the hind wings of 75 specimens belonging to the genera Evylaeus and Halictus , comprising 10 and 5 species respectively, an outline-based geometric morphometric technique- elliptical Fourier analysis was employed. This approach allows for the quantification of wing shape through the extraction of Fourier coefficients. Principal component analysis (PCA) was applied to the Fourier coefficient dataset to identify patterns of shape variation and to discriminate taxa. The results demonstrate the effectiveness of this combined analytical framework in achieving successful discrimination, with minimal overlap observed between taxa observed. This study highlights the potential of morphometric methods coupled with multivariate analyses to improve taxonomic resolution within Halictidae bees, thus contributing to the development of semi-automatic identification systems in entomology.