This study aimed to collect foundational data essential for devising a natural environment conservation plan and implementing relevant policies. It underscores the significance of understanding the current state of the natural environment. Our research concentrated on surveying the biodiversity and distribution of key natural habitats within Busan Metropolitan City, with the goal of gathering crucial data to guide the development of conservation and management strategies. The focus of our investigation was on the insect populations in Ilgwang, covering two primary habitats: mountains and wetlands. The survey, conducted from July to September 2023, utilized various collection methods, including pitfall traps, fly traps, sweeping nets, and aspirators. Our findings documented the presence of 109 species across 88 genera, 50 families, and 9 orders. Specifically, the study identified two species from the order Odonata, two from Blattodea, one from Mantodea, six from Orthoptera, eleven from Hemiptera, twenty-nine from Coleoptera, twelve from Diptera, ten from Lepidoptera, and thirty-five from Hymenoptera. Through community analysis, biodiversity indices were calculated, revealing a Shannon-Wiener index (H') of 4.07 for mountain habitats and 3.92 for wetlands. The Margalef richness index (R) displayed values of 13.92 for mountains and 14.78 for wetlands, while the Pielou evenness index indicated values of 0.96 and 0.91, respectively. Among the identified species, one was classified as endangered, and thirteen were designated as of Least Concern, according to legal protection statuses.

The moth species and bugs are highly polyphagous that feed on a wide range of field and vegetables crops, including soybean in Korea. The monitoring study was conducted in soybean fields in Southern area Miryang from 2021-2023. Commercial funnel and rocket traps housing species-specific baiting with pheromone were used for monitoring of moth species (Spodoptera frugiperda, Spodoptera litura, Agrotis ipsilon, Helicoverpa armigera, Ostrinia furncalis, Spodoptera exigua, and Mythimna separata) and bean bugs (Riptortus pedestris), respectively. The higher number of Spodoptera species (S. litura and S. exigua) were captured in August to September with several seasonal population peaks. The higher number of R. pedestris was captured in July to September. Climatic components were found as critical and influential factors in the population dynamics of moth species and bean bug. The population information of this study can be used to understand the spring emergence along with number of generations, and integrated into management programs of moths and bugs.

Global warming and changes in ecosystems are either causing a rapid decline in insect diversity on earth or, on the other hand, are increasing the likelihood of unexpected insect pests emerging. This study summarizes and reports the followings: Introduction to the Insects of Red Data Book of Korea and Nationally Protected species, the establishment of monitoring strategy for exotic insects by the investigation of species distribution range through field surveys and others, the dispersal of exotic insects, and with the expansion of exotic insects and development of ecosystem impact prediction model.

일반 시설재배지는 겨울을 포함한 저온 시기에 외부의 온도 변화에 영향을 가능한 적게 받기 위한 형태였다면, 최근에는 환경제어기술이 발달하면서 온도, 습도, CO₂, 광량 등을 제어할 수 있는‘스마트팜(Smart-farm)’이 농가에 보급되고 있다. 한편, 토마토 시설재배지에서 많이 발생하는 대표적인 미소해충인 담배가루이와 작은뿌리파리는 유묘나 창문과 출입문의 개폐과정 중에 유입되어 피해를 입히는 것으로 알려져 있다. 스마트팜 내의 해충 발생밀도는 시설재배지 내부의 미소환경에 따라 달라질 수 있다. 따라서 이러한 미소환경의 패턴을 조사하면 좀 더 정확한 해충 발생예찰이 가능할 것으로 생각된다. 본 연구에서는 서로 다른 지역에 위치한 4개의 스마트팜에서 온도와 습도, 그리고 담배가루이와 작은뿌리파리의 해충밀도를 황색 끈끈이 트랩을 이용하여 1주일 간격으로 조사하여 스마트팜 내의 환경변화에 따른 담배가루이와 작은뿌리파리의 수평적, 수직적 밀도분포를 분석하였다.

Global warming can seriously influence on the interaction between pest and natural enemy in the agroecosystem due to the differences in optimal temperature ranges. Two aphid-ladybug systems, Myzus persicae-Coccinella septempunctata (M-C) and Aphis gossypii-Coccinella septempunctata (A-C) in the pepper crop were simulated, respectively under four different temperature scenarios including crop development over 244 days with the assumption that the average temperature is higher by 1, 3, and 5 °C than that in Seoul in 2000. Temperature-dependent functions for each aphid-ladybug system were embedded in Rosenzweig-Macathur predator-prey model to explore their population dynamics, and then Dynamic Index was used to quantify the strengths of species interactions. The result shows that the predator-prey population cycles as well as species interactions are getting shorter and stronger in both systems as temperature increased. Especially, the excessively high temperature scenario in Aphis gossypii-Coccinella septempunctata system could result in the extreme species interaction. Therefore, the increasing temperature can facilitate the effectiveness of biological control because of growing crop plant development and much stronger species interaction, although there are increases of the frequency of pest occurrences.

Model systems, if applied appropriately, give useful and rapid predictions of the potential distribution and population dynamics of the target species. Insect populations are poikilothermal animal and readily applied to model systems in several ways. Classical insect population models are focused on management purposes, for example, prediction of first occurrence period after cold weather season. Insect populations are distributed neither uniformly nor at random, or they are aggregated in patches, or they form gradients of other kinds of spatial structures which are closely related to their natural resources. Thus, developing insect population models should be considered not only with their physiological development and/or occurrence but also with their spatial distributions including their hosts. In this study, we discuss spatial distribution model of insect population with their host in order to future climate change scenario in Korea.

Earth’s average temperature has risen by 0.78°C over the past century, and is projected to rise another 1.1 to 6.4°C over the next hundred years based on recent announced RCP8.5 climate change scenario. Small changes in the average temperature of the planet can translate to large and potentially dangerous shifts in biosphere. Based on climate change scenario, local distribution of well-known species should be changed in near future. Models, if applied appropriately, give useful and rapid predictions of the potential distribution of the target species. CLIMEX is one of modeling systems that may provide insights into the climatic factors that limit the geographical distribution of a species in different parts. Climatic parameters and the climate matching function of CLIMEX enable the risks of an exotic species as well as well-known species to be assessed by directly comparing the climatic condition of a given location with any number of other locations without knowing the full distribution of a species. However, CLIMEX supports only three locations in Korea (Seoul, Pusan and Kangnung province). We generated detail weather database of Korea for CLIMEX, and simulated using the data of American serpentine leafminer, Liriomyza trifolii (Burgess), a key pest and well-known species in Korea for application of future risk assessment under possible climate change condition in Korea.

Biological control of rice insect pest is an important component of an IPM program. There are many species of natural enemies which contribute to the suppression of rice pest populations below economic injury levels. In order to use biological control more efficiently, it is a need to identify beneficial species and determine their roles in possible regulation of insect pests. There is a rich complex of biological control agents in rice and bund. This research was carried out to investigate the population density of insect pests and natural enemies in the rice field and bund. A total of 7 pest species and 15 natural enemy species were collected in the rice field. 10 pest species and 20 natural enemy species were collected in the bund, also. Changes in population density of insect pests and its prey were investigated in the rice field and bund. Population densities of insect pests were low at any time during the rice growth period in the field. This could be the high density of natural enemies. Bunds served as refuge for natural enemies when rice maturity. There are rich complex of biological control agents in rice field and bund. So, when we practice integrated pest management(IPM) of rice insect pests, we should use various natural enemies.

Population genetics is the study of genetic constitution of Population across space and over time. Population genetics plays a pivotal role in characterizing dispersal behavior of insects and provides important clues to questions in the field of insect behavior and ecology. Understanding dispersal behavior of insects is of important issue not only for academic interests but also for application purposes including management and eradication. Dispersal is one of major evolutionary forces that can influence genetic variation of population. Dispersal is mostly driving genetic homogenization of diverging populations. Moreover, understanding dispersal pattern and capacity of insects is a key component for designing effective management and resistance management strategies of many insect pests since dispersal ability determines the spread rate of disease and resistance gene. The capability of predicting insect movement therefore is an essential component of agricultural production management systems. Here I introduce application of population genetics to insect dispersal study with the case studies of three agricultural insect pests, cotton boll weevil (Anthonomus grandis), Western con rootworms (Diabrotica vergifera) and European corn borer (Ostrinia nubilalis). These insects all are invasive and major pests of crops of U.S.A during the last ~100 years.

수원 지역에서의 이화명나방 발생의 장기적 경시적 변화 패턴을 분석하고 수원 지역에서의 이화명나방 봄나방(I화기) 발생시기 예찰 모델을 개발하였다.수원에서의 이화명나방의 개체군동태는 1965년부터 1996년까지 한 번의 큰 피크와 한 번의 작은 피크를 보인 주기적 변동을 보였으며 발생 변동의 큰 주기는 대략 36세대 (18년)로 분석되었다. 수원 지역에서의 이화명나방 발생동태는 l세대를 작은 주기로 하는 내적 유발성 주기성을 보였으며 전세대의 밀도의존성이 높은 제 l차 부의 피이드백 작용에 의해 지배되는 내적 동태성이 기본이었다. 이화명나방 개체군 변동 메카니즘은 밀도의 급격한 감소에도 불구하고 변화가 없었다.수원 지역의 이화명나방 발생 자료를 바탕으로 봄나방 발생시기 예찰 모델들(온도발육모델 및 온일도 모델)을 개발하였다.또한, 이화명나방 개체군 동태와 관련한 봄나방 성충 예찰 문제를 고찰하였다.