We developed a new ecotoxicological test method using native test species, eggs of Ephemera orientalis, and five kinds of industrial wastewater were tested to validate the test method. The water samples were collected in Jun 2006 from the following industries: pesticide, metal plating, PCB, leather1, and leather2. Wastewater and effluent were diluted by distilled water, respectively, to prepare various concentrations, 100, 50, 25, 12.5, 6.3, 3.1, and 0%. For the egg bioassay, 20 freshly laid eggs (<24 h old) were exposed to test solutions in a Petri dish (52×12 mm) at 20℃ with photoperiod of 16 h light and 8 h dark for 14 days. The median egg hatching concentrations (EHC50) were estimated using Probit analysis. All EHC50s of wastewater were less than 3.1%, which meant very high ecotoxicity except for the wastewater of PCB industry having 6.1% of EHC50. Among the effluents, the least toxic effluent was from pesticide industry having 58% of EHC50, while the effluent of leather2 was the most toxic having 7.3% of EHC50.

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.

The first record of Melon thrips, Thrips palmi Karny, was in 1993 in Korea, and the species has become severe pest in agricultural industry. We used two different SDMs(Species Distribution Model) which have different approaches to analyse potential distribution of the pest species in climate change scenario, MaxEnt and CLIMEX. The MaxEnt model uses historical occurrence records with environmental variables to estimate the realized niche, and CLIMEX model simulates the fundamental niche of the object based on the seasonal phenology. In MaxEnt simulation, we reduced the number of variables to avoid multi-collinearity problem until we had no pairs with an absolute Pearson correlation coefficient higher than 0.8. BIO1(Annual Mean Temperature), BIO2(Mean diurnal range), BIO3(Isothermality), BIO4(Temperature seasonality) were finally selected as predictor, and we used 10 fold cross validation option to replicate. The averaged results were used to index analysis. The CLIMEX results, The Ecoclimate Index(EI), were also normalized in 0 to 1 scale to analysis. Under RCP 8.5 climate change scenario, in 2070s, the distribution of Thrips palmi was predicted to expand their territory overall agricultural area in Korea.

기후변화에 따른 해충개체군 증감모형은 해충방제를 위 한 초발생예찰과 연속적 해충변동 양상의 파악에 매우 중 요하다. 이러한 예측은 농약사용의 효율성을 높이고, 환경 에 적은 영향을 줄 수 있으므로, 현대 해충방제전략의 화두 로 볼 수 있다. 본 연구는 온도변화에 따른 해충의 농약효과 에 따른 사충률의 변화를 개체군 모형과 결합시켜 모의했다. 감수성 점박이응애를 강낭콩을 기주로 20, 25, 30, 35℃에서 Acrinathrin-Spiromesifen 혼합제와 Azocyclotin 유기주석계 농약에 노출시켰다. 생물검정 결과 점박이응애의 사충률은 온도와 농약의 종류에 따라 유의한 차이가 발생했다. 점박이 응애의 개체군 밀도변동 모의는 DYMEX를 이용했으며, 모 의결과 농약의 종류별로 기후변화에 따른 초기방제 시기와 방제횟수에 차이가 나타날 것으로 예측됐다. 본 연구결과는 미래의 기후변화에 대응한 해충방제 전략과 농약 선발에 있 어 중요한 시사점을 제공할 것으로 사료된다.

Local distribution of insect pest population should be changed in near future as well as their host based on climate change scenario. Although well defined insect geographical distribution model is developed and projected its potential establishment in Korea, it has defectiveness without geographical matching of its host, because, in agriculture, insect pest damage is related by host-insect synchrony in time and space. In this study, the possible geographical distributions of two insect species, Corposina sasakii (native species) and light brown apple moth, Epiphyas postvittana (possible invasive species), were estimated by CLIMEX simulation under RCP8.5 climate change scenario. Projected farm land suitability of apple trees was obtained from open website of Fruit Research Division, NIHHS, RDA. All the potential geographical distribution maps were overlapped then the spatial synchrony were analyzed by SADIE (spatial analysis with distance indices) , which allows improved interpretation of the spatial synchrony.

Toxicity test of contaminate soil is very complex because of differential bioavailability in the soil. Therefore, bioavailability of metals in soil is a major factor influencing estimates of toxicity. In this study, the two major test was conducted. First, the toxicity of arsenic for the Collembola, Paronychiurus kimi, was assessed by determining the effects of increasing arsenic concentration on survival, reproduction and body concentration of As in five forested soils with different available phosphate and oxide-metal concentration. Second, the sequential extraction procedure (SEP) for arsenic by choosing extraction reagents commonly used for sequential extraction of metals was tested. The EC50 based on total As concentration in soil was estimated respectively. The available phosphate and oxide-metal concentration in soil influenced on As fraction in soil. Especially, As in soil which is non specifically and specifically sorbed (fraction 1, 2) has strong correlation with available phosphate and oxide-metal concentration (p<0.05). The toxicity is more higher in the soil with high available phosphate and low oxide-metal concentration. In addition, the high arsenic concentration in fraction which is amorphous and poor-crystalline hydrous oxide of Fe and Al (fraction 3) had effect to the toxicity. As a result, the toxicity of As is related with As concentration in fraction 1, 2 and 3 and the soil properties and the arsenic fractionation in soil have a influence on the bioavailability and toxicity.

Araneae species are predators in natural ecosystem interact with various prey species. These linkage can be affected under climate change because species react not just individually but systematically. We focused on potential impact of climate change in Araneae fauna in national scale. In this study, potential species richness of Araneae in South Korea was predicted with MaxEnt (Maximum Entropy) model. Korea Forest Research Institute conducted national scale research of wandering arthropods. They monitored in uniformly set 366 points, and the data contain exact GPS points of study sites. Occurrence data were extracted from Prediction of Distribution and Abundance of Forest Spiders According to Climate Scenario (Korea Forest Research Institute, 2013). With the report, dominant 21 Araneae species that appeared more than 10% study sites were selected to estimate species richness. Training climate data were prepared from observation source of Korea Meteorological Administration. RCP 8.5 scenario data which represent future (2050, 2070) climate condition were downloaded from WORLDCLIM web site. In MaxEnt simulation, occurrence data for 21 species and 19 bioclimatic variables were used. Because the model outputs are expressed in index, the minimum training presence threshold rule was applied to distinguish presence/absence of each 21 species distribution model. We overlaid whole 21 thresholded output to get species richness map. The fluctuation between current and future species richness was calculated to observe changing trend in national scale. The results of Araneae fauna tends to move higher altitude and latitude. Species richness of lowlands is predicted to be diminished, but higher mountains are expected to be more suitable for many spider species. In some South Western coastal areas showed reduced richness in 2050 but will recover in 2070.

Behavioral response is commonly affected by heavy metal toxicity, and behavioral reaction can be measured as sensitive endpoint for sublethal toxicity test and obtained easily and quickly. Also behavioral endpoints may serve as an insightful evaluation tool of the ecological effects of toxic chemicals. In this study, Heterocypris incongruens (Crustacea: Ostracoda) was selected, which is usually used as an indicater species for water quality. H. incongruens was exposed to copper and arsenic for 5 minute and total distance, velocity, turn angle, and angle velocity were measured for 30 minute using video analysis system in laboratory condition. Each endpoints reflected the effects of copper and Arsenic toxicity appropriately. These endpoint have possibility that can be used to identify characteristic behavioral responses to metal toxicity.

The establishment of insect population in certain region is affected by three major characteristics, the host spectrum, the phenological plasticity and the overwintering strategy. The geographical distribution of insect population is directly affected by their successful establishment in local environment, thus, in case of development of potential geographical distribution models, three major characteristics should be considered carefully. In this study, we developed geographical distribution model using CLIMEX system with well-known insect species, Carposina sasakii. Its geographical distribution is limited to northeast Asia including Korea, Japan, China and the Soviet Far East. C. sasakii overwinters as a full-grown larva within spherical and compactly woven larval-cocoons in the soil. We calculated Diapause Index (DI) then incorporated DI into CLIMEX system to simulate Ecoclimatic Index (EI), which stands for ability of establishment in a certain area for further studies of geographical distribution of insect populations which have overwintering strategy in their life history.

Thc climate change has the potential to significantly modify the actual distribution of insect pest with unknown consequences on agricultural systems and management strategies. In this study, Thrips palmi Karny was selected to predict distribution under climate change. T. palmi was introduced and first recorded in 1993 in Korea, and has become a serious pest of vegetable and ornamental crops. The MaxEnt was applied to T. palmi to predict its potential geographic distribution in Korea and Japan under the RCP 8.5 climate changing scenario. The MaxEnt software package is one of the most popular tools for species distribution and environmental niche modeling. The habitat prediction model of T. palmi in Korea was validated by the distribution of T. palmi in Japan. Based on the MaxEnt modeling, T. palmi would expand their potential distribution to whole Korean peninsula except the alpine region in Gangwon-do and Yanggang-do and Hamgyeongbuk-do in 2070s. Therefore, the monitoring system and management strategy for T. palmi should be reconsidered and re-evaluated.

Yellow sticky traps are a key component of IPM programs for several greenhouse and vegetable pests. Yellow sticky traps have been used intensively for early detection, identification of hotspots as well as for estimating relative abundance and dispersals of adult insects occurring either in greenhouses or fields. In addition, the traps have the potential of suppressing adult populations alone or in combination with other control strategies such as biological and chemical controls. In spite of the fact that the traps have been widely used with several advantages for growers such as low cost and low training demands, the understanding of insect flight and dispersal behaviors based on sticky traps have been limited. Since the trap catches are highly associated with flight behaviors of insects, the catch data should be carefully interpreted and analyzed in conjunction with the flight behaviors of target insects to develop ecologically sound IPM programs. Thus, a control decision-making based on mean trap catches without knowledge in the flight behaviors may produce biased or wrong conclusion. In this study, flight and migration behaviors of insect pests such as thrips, whiteflies and leafminers are studied based on sticky trap catch data obtained from greenhouses and fields. Also I summarize the knowledge gaps that need to be addressed to develop yellow sticky traps into a more effective decision-making tool for pest management.

Understanding how species will respond to projected future climate change has become important. However, the impacts of climate change on the ecosystem are very complex and uncertain, we need a reliable tool for approaching it. Mechanistic modeling can be one of the solution for handling the various factors and responses of test organisms in regard to climate change. We introduce the case study on the copper toxicity on D. magna and show the applicability of these mechanistic model approaches. The overall objective of this case study was to simulate the chronic toxicity of copper on Daphnia magna using dynamic energy budget theory with the improved toxicity module component. The toxicity module includes toxic effects on allocation of reserve, structure, and maturity energy in the D. magna. Model calibration and verification were performed using data sets obtained from a laboratory experiment that include growth, maturity and survival measurement data of D. magna during copper exposure. The simulation results show that the response of D. magna under copper exposure was well estimated by toxicity module. Overall, the results show the dynamics model based on DEB theory can be used for estimating long-term metal toxicity on D. magna. Thus, mechanistic modeling can be utilized as a approach tool for evaluating the impacts of climate change on the ecosystem with more mechanistic description.

Climate change is a global phenomenon and has major impacts on ecotoxicology. A variety of environmental variables affected by climate change can alter the fate of chemical and responses of organism. Especially, soil temperature is an important factor in ecotoxicology. Increasing temperature results in an increase in the rate of uptake and degradation of toxic compound. Therefore, the research of temperature effect on toxicity is needed to understand the change of toxic effect under climate change. In this regards, the response of Paronychiurus kimi (Collembola) to Geunsami™ (glyphosate-based herbicide) were evaluated at different temperatures (20℃, 25℃) and soil aging time (7, 15 days). Survived adults and hatched juveniles were counted after 28-day exposures in artificial soil spiked with 1, 5, 50, 100, 500 mg/kg of glyphosate in different temperature and soil aging time conditions. In addition, we investigated the fatty acid composition of Paronychiurus kimi. Increasing soil aging time and temperature, EC20 value of P. kimi was increased. Fatty acid composition of P. kimi was similar with that of Folsomia candida mainly composed of 18:1 w9c, 16:0 and 18:0 fatty acids. UI (Unsaturation Index) and the ratio C16/18 of fatty acid composition decreased with increasing temperature. The 18:0 (Stearic acid) fatty acid increased with increasing concentration of glyphosate.

Behavioral reaction can be measured as a sensitive endpoint for sublethal toxicity of copper, and can be used to obtain easily and quickly. Also behavioral endpoints may serve as a more insightful evaluation tool of the ecological effects of toxic chemicals. In this study, four invertebrates in freshwater which are usually used indicate species for water quality were selected as test species (Chironomus riparius, Heterocypris incongruens, Daphnia magna, and, Triops longicaudatus). Each test species was exposed to copper for 6 hours, and total distance, velocity, and, turn angle were measured for 1 hour using video analysis system (Ethovision : Noldus Information Technology) in laboratory condition. Each endpoints reflected effect of copper toxicity appropriately for all test species. These endpoint have possibility that can be used to identify characteristic behavioral responses to a metal toxicity. We viewed this study as a preliminary experiment for future research to investigate the significance of behavioral endpoints to various toxic chemicals.

Insects reflect climate change dramatically because insects are poikilotherm and have huge biodiversity. Also, the prediction of insect distribution is very significant due to the position of this group giving diverse ecological services including their extraordinary economic importance. Accurate modeling of geographic distributions of insect species is crucial to various applications in ecology and conservation. The best performing techniques often require some parameter tuning, which may be prohibitively time-consuming to do separately for each species, or unreliable for small or biased data sets. The purpose of this study is to introduce and compare several models to predict insect distribution under climate change in Korea. This work would be helpful to researchers or decision makers by giving practical advice, for example, kinds of input/output data, applicability to GIS, to select appropriate model to predict insect distribution.

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.

Based on climate change scenario, local distribution of insect pest population should be changed in near future as well as their host. Even though well defined insect geographical distribution model is developed and projected its potential establishment in Korea under climate change scenario, it has defectiveness without geographical matching of its host. SADIE (spatial analysis with distance indices) allows improved interpretation of the spatial associations between two populations within a given sampling area because it is designed for data that are distributed in discrete areas with relatively well-defined boundaries, and measures the extent of clustering with subsequent testing for spatial patterns in relationships among sample locations. In this study, we calculated and analyzed the spatial association between the Ecoclimatic Index (EI) of light brown apple moth, Epiphyas postvittana, using CLIMEX, and projected farm land suitability of apple trees for the possibility of shift and matching geographical location of insect-host relationship under climate change scenario in Korea.

Environmental risk assessment aims to estimate the impacts of various stressors on populations and communities in the environment. However, most of the exposure tests conducted under the laboratory level. This gap between the controlled condition of the experiments and the complexity of the field situation can lead to irrelevant estimation of stress effects. For this reason, dynamic model approach in ecology that including integrated mechanistic understanding has become important. The dynamic models at the individual level can be used to interpret the individual’s response to stress, extrapolate which response to untested conditions, and predict the impacts on the higher ecological level. The overall objective of this case study was to simulate the chronic toxicity of copper on Daphnia magna using dynamic energy budget theory with the improved toxicity module component. The model system was constructed and evaluated, using the PowersimⓇ software. The toxicity model system was integrated with toxic effects on allocation of reserve, structure, and maturity energy of D. magna into improved toxicity module. The model was calibrated and verified by actual data sets where obtained from a laboratory experiment including growth, maturity and survival measurement of D. magna during copper exposure. The simulation results showed that the response of D. magna under copper exposure was well estimated by model system.

Thrips palmi Karny was introduced and first recorded in 1993 in Korea. This species has become a serious pest of vegetable and ornamental crops. CLIMEX simulation was applied to T. palmi to predict the potential geographic distribution in Korea under the Representative Concentration Pathway (RCP) 8.5 climate change scenario. In the CLIMEX simulation, ecoclimatic index (EI) was calculated, and compared in each simulated year and each simulated location. The map comparisons showed a good agreement between simulated and present distributions of T. palmi, indicating that the CLIMEX model was well explained and appropriate for prediction of future distributions of this species in Korea. In near future, until a year of 2020, all the western and eastern parts of Korea showed favorable to marginal suitability for T. palmi populations in fields. After the year of 2040, the potential distributions are shifted from no persistent to favorable for establishment and persistence from coastal to interior of the Korean peninsula except a north-eastern interior region which is the northernmost part of high mountains (Baekdu-Daegan) area in South Korea. Based on simulation results, T. palmi would overcome its weather restriction in near future under a severe climate change scenario, thus, pest management measures and strategies should be re-constructed in Korea, with further studies including interspecific competition and understanding ecosystem change due to climate change.

The cotton aphid, Aphis gossypii Glover (Hemiptera: Aphididae), is one of the major insect pests of cucumber, Cucumis sativus L. The spatial distribution and occurrence of Aphis gossypii Glover on greenhouse cucumber, Cucumis sativus L., were studied to provide an efficient and reliable sampling plan for its control. A highly clumped pattern was observed among plants (TPL b = 1.63) within a greenhouse. To develop a sampling plan for visual enumeration, leaves within plants were selected by different percentages of leaves (eg., 3rd and 6th, 6th and 9th leaf,…from the bottom of the plant) and then compared the accuracies and efficiencies by relative net precision (RNP). The results indicated that selecting leaves from the bottom of the plant by systemic sampling methods were relatively high as other sampling methods.