The integration of machine learning for species identification is becoming increasingly important in entomological research. However, automatic species identification faces significant challenges such as low resolution, sample discoration, and small dataset sizes, which impede the reliability of traditional machine learning methods. Building upon the previous research on quantification of the color patterns of Stenaptinus occipitalis jessoensis using R-based analysis, this study demonstrates how to overcome these challenges in training machine learning for species identification. This approach allowed us to successfully classify geographic variations of S. occipitalis. Our results demonstrate the model's ability to identify these variations, despite the small size of the image datasets. This advancement shed some light on the potential of machine learning to identify morphological variation in highly polymorphic species.

Subgenus Bothynoptera Schaum, 1863 of the genus Parena is mainly found in Oriental region. Despite this widespread distribution, species of the subgenus Bothynoptera are poorly known in Korea. While a total of 14 species have been recorded worldwide, only 3 species have been recorded in Korea. In this study, as a revisional work of Korean known species, a pictorial key and photographs of habitus and male genitalia for each species are provided, with a newly recorded species in Korea.

Currently, 12 subspecies of Coptolabrus smaragdinus have been recorded in Korea, of which 7 subspecies are listed in South Korea. C. smaragdinus has limited movement due to degenerated hindwings, resulting in high intraspecific diversity due to geographic isolation. Previous studies have been mainly classified based on external characters or genitalia structure, but the differences between subspecies are very ambiguous. In this study, we aimed to more clearly distinguish at the subspecific classification level, by examining the male aedeagal and inflated endophallus. Additionally, we provide photos of adult, endophallus and the process of endophallus inflation.

Nialoe Tanaka, 1958 is a subgenus of the ground beetle genus Pterostichus (Coleoptera: Carabidae), endemic to East Asia. In a wide sense of Nialoe, it consists of more than 200 species, which has reduced hindwing and possibly diversified by geographical isolation due to poor dispersal ability. To understand this vast group, phylogenetic studies have been conducted, showing that Nialoe s. lat. comprises of five subgenera: Nialoe s. str., Sphodroferonia, Koreonialoe, and two unnamed subgenera. However, there is little knowledge regarding their origin and dispersal. In this study, we examine phylogenetic relationships among the five subgenera of Nialoe s. lat. based on 28S rRNA, wingless, COI, and 16S rRNA. The molecular clock and S-DIVA analyses are devised to investigate the biogeographical history of the group in East Asia. This study may give insight into the biogeographical dispersal and diversification of East Asian carabids.

The genus Daiconotrechus Ueno, 1971 is endemic genus of Japan with two subgenera, Daiconotrechus Ueno, 1971 and Tsuiblemus Ueno, 2007. Adults of all species in this genus are eyeless with depigmented and elongated body. These morphological features are typical characters of adaptation to subterranean environments. Distribution of all species of the subgenus Tsuiblemus is restricts to Tsushima Island, Japan. In this study, we report the genus Daiconotrechus for the first time in Korea, with a new species in the subgenus Tsuiblemus. Illustrations of morphological characters and habitus are also provided.

Beetles are one of the most effective transportation for phoretic chelicerata. They use various methods to attach themselves to their hosts, such as developing ventral sucker plates, grasping with their claws and chelicerae, or hiding beneath the elytra. Recently, we discovered new species of two genera: Antennoseius (Mesostigmata: Blattisociidae) and Gaeolaelaps (Mesostigmata: Laelapidae) which are hiding under the elytra of Carabidae hosts. In this study, digital images of the beetles, and mites, along with brief diagnostic information and line-drawing plates will be provided.