The order Pseudoscorpiones De Geer, 1778, often referred to as pseudoscorpion, is a relatively understudied taxonomic group in Korea. Korea has documented only 26 species within 8 families and 13 genera of Pseudoscorpiones, a notably smaller number compared to Japan, which includes 100 species in 13 families and 35 genera, or China, with 168 species in 12 families and 39 genera. Additionally, Korea currently lacks comprehensive information regarding the ecology, behavior, and taxonomic characteristics of Pseudoscorpiones. These highly sensitive soil-dwelling predators dynamically respond to changes in soil conditions, making them potential significant biological indicator species. Furthermore, Pseudoscorpiones are known for their adaptation to lower soil temperatures, rendering them particularly sensitive indicators of climate change impacts. Through this presentation, our goal is to illuminate the ecology, behavior, and taxonomic attributes of Pseudoscorpiones species recorded in Korea. By doing so, we aim to contribute to the future expansion of research in this field and enhance our understanding of these remarkable arachnids.

Erebidae is one of the most diverse families within Lepidoptera. Erebinae is one of its subfamilies that stands out for having a remarkable diversity, which complicates its taxonomic classification. It exhibits a high degree of global diversity, with many yet-to-be-explored faunal aspects. In this study, we review the historical classification of Erebinae and incorporate the latest molecular phylogenetic analyses alongside traditional morphological groupings. Furthermore, we present a detailed list of Erebine tribes and species found in Korea, highlighting the literature and morphological characteristics employed in grouping genera within these tribes. This study aims to advance our understanding of Erebinae’s complex taxonomy and biodiversity.

The family Stathmopodidae, which belongs to to the superfamily Gelechioidea, has 6 genera and 18 species reported in Korea to date. This family is classified as pests, causing serious damage to grains or fruits, depending on the species. Therefore, precise control is necessary, however, there is a lack of taxonomic and ecological research. We aim to analyze the clade and speciation timing for phylogenetic analysis of Stathmopodidae using ChatGPT, a tool that has recently garnered much attention. ChatGPT, a conversational AI chatbot developed by OpenAI, is accessible to anyone and being able to improve itself through conversations with users. In this study, we utilized the lengths of the generated lineage branches and the molecular clock rate to predict when certain species of the family Stathmopodidae diverged, measured in millions of years. However, further study is required to obtain more accurate figures.

Miridae show remarkable diversity (>11,700 spp.), accounting for a quarter of all Heteroptera. However, their phylogeny and evolutional history is still remain unclear. In this work, we provide new suggestions for the phylogeny of Miridae using a larger dataset than previous studies. In addition, we suggest an alternative evolutionary history based on newly calibrated divergence dates for Miridae and its subordinate groups, and present probable factors of the family’s success in terms of species diversity. The entire dataset comprises 16 outgroups and 188 ingroup taxa including all seven known subfamilies and 37 out of 45 known tribes. Each species is aligned as 3,577 bp with six molecular loci (COI, 16S rRNA, 18S rRNA, 28S rRNA D3 region, H2A, and H3A).

Family Nolidae has not much been treated as noticeable pest. In other countries, there are some pest species like Garella musculana (Erschoff, 1874), Uraba lugens Walker, 1866, and Earias insulana (Boisduval, 1833), but those are not reported in Korea. Recently, the occurrence of a nolid species, Meganola major (Hampson, 1894) has been increasing, especially in Jeollanam-do Prov. This species is mainly distributed in Indian subregion and Southeast Asia, but also East Asia reported, but until now, there are no outbreak information. Neverthereless, recent outbreak might be lead by global warming, and their growth stage. This seems to be evidence of the potential outbreak risk of nolid moths, but unfortunately, their ecology is not mostly well-studied. In this discussion, we are focusing on the potential outbreak of nolid moths in East Asiatic and Oriental regions.

This study presents a thorough identification of species of clearwing moths causing damage to street trees in Korea. Identification was carried out using both morphological and molecular studies, and their intra- and interspecific genetic divergence were analysed via molecular data. The outcomes of this research will facilitate detection of the insect pest species, which is frequently misidentified, as well as forecasting their migration routes in Korea for preemptive control studies.

2019년부터 2022년까지 제주도 올리브(olive, Olea europaea)에서 발생하는 해충을 조사한 결과, 총 15종의 해충이 확인되었다. 이중 나방 류와 노린재류의 발생과 과실 피해가 매우 심했다. 나방류는 수수꽃다리명나방(Palpita nigropunctalis), 큰점애기잎말이나방(Aterpia circumfluxana), 차잎밀아나방(Homona magnanima), 차애모무늬잎말이나방(Adoxophyes honmai) 순으로 많이 발생하였다. 나방류 해충은 주로 잎을 가해했지만, 수수꽃다리명나방은 과실피해도 심하게 유발하였다. 노린재류로는 갈색날개노린재(Plautia stali), 썩덩나무노린재(Halyomorpha halys), 풀색노린 재(Chinavia hilaris)가 주로 발생하여 과실 피해를 유발하였다. 깍지벌레류인 갈색깍지벌레(Chrysomphalus bifasciculatus)와 뽕나무깍지벌레(Pseudaulacaspis pentagona)는 무방제 시 과실에도 발생하여 피해를 주었다. 진딧물과 해충은 국내 미기록종인 올리브면충(신칭, Prociphilus oleae)만이 발생하였고, 갈색나무매미충(Ricania shantungensis)도 올리브에 처음 발생이 확인되었다. 국내 미기록종인 올리브철모깍지벌레(신칭, Saissetia olea)은 발견되었으나 방제후 더이상 발생하지 않았다. 이외 천공성 해충이 올리브에 심각한 피해를 유발하였으나, 종은 확인되지 않았다.

한국산 Autosticha kyotensis (Matsumura, 1931) (교토점원뿔나방, 신칭)이 새롭게 추가되었다. 이 종에 대한 성충과 생식기 형태에 대한 사 진 정보와 Autosticha속의 전 세계 체크리스트가 함께 제공되었다.

As part of the third ATM Challenge, we performed a series of atmospheric dispersion simulations for routine releases of Xe-133 from ordinarily operating nuclear facilities such as Medical Isotope Production Facilities (MIPFs), Nuclear Power Plants (NPPs), and Research Reactors (RRs) in the Northern Hemisphere using our ATM, Lagrangian Atmospheric Dose Assessment System (LADAS), with Numerical Weather Prediction (NWP) data produced by the Korea Meteorological Administration (KMA). The simulation time period is 6 months, from June to November in 2014, and we used the stack emission data except for CNL (Canada) and IRE (Belgium) in accordance with the scenario of the third ATM Challenge 2019. In addition, the simulations were done individually for all MIPFs, NPPs, and RRs. We utilized 3-hourly KMA’s Unified Model Global Data Assimilation and Prediction System (UM-GDAPS) data with 0.35°×0.23° horizontal resolution as input meteorological fields and extracted hourly time series results for Xe-133 activity concentrations with few different resolutions such as 0.5°×0.5°, 0.35°×0.23°, and 0.1°×0.1° at several IMS stations in the Northern Hemisphere which were in normal operation in 2014. Considering previously reported values of daily Xe-133 release amounts for CNL and IRE, measured signals at some IMS stations (such as CAX17, DEX33, SEX63, and USX75) were well reproduced from the simulation results.