Pitfall traps that use ethylene glycol as a preservative solution are commonly used in arthropod research. However, a recent surge in cases involving damage to these traps by roe deer or wild boars owing to the sweet taste of ethylene glycol has prompted the addition of quinone sulfate, a substance with a pungent taste, to deter such wildlife interference. This study aimed to assess the effects of quinone sulfate on arthropods collected from pitfall traps containing ethylene glycol. We strategically positioned 50 traps using ethylene glycol alone and 50 traps containing a small amount of quinone sulfate mixed with ethylene glycol in a grid pattern for systematic sampling at the Gwangneung Forest long-term ecological research (LTER) site. Traps were collected 10 days later. The results revealed a notable effect on ants when quinone sulfate was introduced. Specifically, it decreased the number of ants. In a species-specific analysis of ants, only Nylanderia flavipes showed a significant decline in response to quinone sulfate, whereas other ant species remained unaffected. Additionally, among the arthropod samples obtained in this survey, we identified species or morpho-species of spiders, beetles, and ants and assessed species diversity. Consequently, the utilization of quinone sulfate should be undertaken judiciously, taking into account the specific species composition and environmental characteristics of the monitoring site. Our study also highlighted the significant response of various arthropod groups to variations in leaf litter depth, underscoring the crucial role of the leaf litter layer in providing sustenance and shelter for ground-foraging arthropods. Furthermore, we have compiled comprehensive species lists of both spiders and ants in Gwangneung forest by amalgamating data from this investigation with findings from previous studies.

금번 연구를 통해 외래산림해충 확산 분석 플랫폼 K-SDM (K-SDM)의 해충 분포 기능이 개발되었다. 해충 분포를 보여주는 기능은 2가지로 구현되며, 조사 자료를 바탕으로 현재 국내의 해충 분포를 나타내는 “외래산림 해충분포”기능과 데이터를 분석하여 예측되는 미래의 해충 분포를 제공하는 “외래산림해충예측”기능이 있다. “외래산림해충분포”는 조사자에 의해 현장에서 구축된 DB 현황을 지도상에 수치로 나타내며, 입력 기간, 해충 종 별로 구분이 가능하여 원하는 해충종의 분포를 선택하여 볼 수 있다. 지도 좌측에는 각 도별로 조사된 해충 개체수의 통계를 도표로 제공하여 수치상으로도 해충 분포를 파악할 수 있다. “외래산림해충예측”은 DB를 분석 하고 미래 기후 시나리오를 적용하여 도출한 미래의 해충 예측 분포도를 사용자에게 제공되며, 미리보기 이미지 와 함께 원본자료가 첨부되어 좀 더 자세한 정보를 열람할 수 있다. 본 플랫폼의 해충 분포 기능은 최근 기후변화 등으로 외래산림해충의 발생이 증가하는 추세에 맞춰 이들의 현재 분포와 미래의 분포양상을 조기 파악하여 이를 통한 추후 조기 방제 및 대응책 마련 등에 크게 기여할 것으로 기대된다.

Invasive alien species pose a considerable threat to both natural ecosystems and human societies. Among these invasive species, forest pests stand out as particularly detrimental, as they can lead to a substantial decline in native biodiversity, deforestation, and the loss of forestry products. The recent effects of climate change and the expansion of international trade have further exacerbated the spread of these invasive species. In this study, we provide an overview of prediction models based on species distribution models for assessing the potential distribution of invasive forest pests in Korea. This information can prove invaluable in the development of effective management and control strategies for these alien species.

In stream ecosystem assessment, RIVPACS, which makes a simple but clear evaluation based on macroinvertebrate community, is widely used. In this study, a preliminary study was conducted to develop a RIVPACS-type model suitable for Korean streams nationwide. Reference streams were classified into two types (upstream and downstream), and a prediction model for macroinvertebrates was developed based on each family. A model for upstream was divided into 7 (train): 3 (test), and that for downstream was made using a leave-one-out method. Variables for the models were selected by non-metric multidimensional scaling, and seven variables were chosen, including elevation, slope, annual average temperature, stream width, forest ratio in land use, riffle ratio in hydrological characteristics, and boulder ratio in substrate composition. Stream order classified 3,224 sites as upstream and downstream, and community compositions of sites were predicted. The prediction was conducted for 30 macroinvertebrate families. Expected (E) and observed fauna (O) were compared using an ASPT biotic index, which is computed by dividing the BMWPK score into the number of families in a community. EQR values (i.e. O/E) for ASPT were used to assess stream condition. Lastly, we compared EQR to BMI, an index that is commonly used in the assessment. In the results, the average observed ASPT was 4.82 (±2.04 SD) and the expected one was 6.30 (±0.79 SD), and the expected ASPT was higher than the observed one. In the comparison between EQR and BMI index, EQR generally showed a higher value than the BMI index.

The community temperature index (CTI) reflects the temperature and environmental preferences of the community. We investigated the distribution patterns of major aquatic insect assemblages (Ephemeroptera, Plecoptera, and Trichoptera; EPT) based on CTI in streams of South Korea. We selected unpolluted 151 study sites at upper streams (less than 3rd) with less than 1.5 mg L-1 of biochemical oxygen demand. Study sites were clustered into six groups based on the similarities of their EPT composition. All three orders showed a continuous decrease in the number of species as CTI increased, especially in Plecoptera. In addition, the functional feeding groups were also significantly changed according the CTI changes. Temperature tolerance range of each group’s indicator species varied according to the CTI of the group. Finally, changes of CTI reflected differences of EPT assemblages according to the differences of environmental condition including temperature. Therefore, CTI can be applied to the evaluation and preservation of stream ecosystems and prediction of community changes due to climate change.

In this study, 46 reservoirs in South Korea were characterized based on heavy metal concentration in sediments. We analyzed the relationship between heavy metal concentrations, physicochemical water quality and hydromorphological factors in each reservoir. Study reservoirs were classified into five groups of reservoirs, by hierarchical cluster analysis based on the similarities of heavy metal concentration. Group 1 had the most severe sediment heavy metal contamination among the groups, whereas Groups 2 and 3 showed low levels of heavy metal contamination. Group 4 displayed high value of Ni, and Group 5 showed high contamination of Pb, Cu, Cr, Ni, and Hg. Groups 1 and 5, which had high concentration of heavy metals in sediments, showed a high density of mines in the catchment of reservoirs. Heavy metal concentration was high in reservoirs with large capacity or the ones located at higher elevation, and also highly related with number of mines in the catchment of reservoir. This study can contribute to the systematic management of sediment heavy metals in reservoirs.

Understanding the characteristics of reservoir water quality is fundamental in reservoir ecosystem management. The water quality of reservoirs is affected by various factors including hydro-morphology of reservoirs, land use/cover, and human activities in their catchments. In this study, we classified 83 major reservoirs in South Korea based on nine physicochemical factors (pH, dissolved oxygen, chemical oxygen demand, total suspended solid, total nitrogen, total phosphorus, total organic carbon, electric conductivity, and chlorophyll-a) measured for five years (2015~2019). Study reservoirs were classified into five main clusters through hierarchical cluster analysis. Each cluster reflected differences in the water quality of reservoirs as well as hydromorphological variables such as elevation, catchment area, full water level, and full storage. In particular, water quality condition was low at a low elevation with large reservoirs representing cluster I. In the comparison of eutrophication status in major reservoirs in South Korea using the Korean trophic state index, in some reservoirs including cluster IV composed of lagoons, the eutrophication was improved compared to 2004~2008. However, eutrophication status has been more impaired in most agricultural reservoirs in clusters I, III, and V than past. Therefore, more attention is needed to improve the water quality of these reservoirs.

국내 멸종위기 어류 25종의 먹이원을 문헌 조사한 결과, 먹이원은 20문, 31강, 58목, 116과, 154속으로 나타났다. 먹이원 중 가장 많은 어류가 섭식한 먹이원은 분류군에 따라 절지동물문, 곤충강, 파리목, 깔따구과로 조사되었으며, 식물류 먹이원은 돌말문, 윷돌말강, 반달돌말목, 반달돌말과로 조사되었다. 계층적 군집분석과 NMDS를 이용하여 멸종위기 어류 20종의 먹이원 유형화 결과, 어류를 주로 포식하는 충식성 어류와 식물플랑크톤을 섭식하는 어류 2가지 유형으로 나타났다. 네트워크 분석의 허브 점수가 높은 먹이원은 파리목, 하루살이목, 날도래목, 강도래목, 딱정벌 래목으로 나타났으며 식물류 먹이원 중 허브 점수가 높은 쪽배돌말목과 반달돌말목, 김발돌말목으로 조사되었다. 먹이원 폭이 큰 어류는 연준모치 (PP)와 열목어, 좀수수치, 가는돌고기, 꼬치동자개, 퉁사리, 묵잡자루, 미호종개로 Bi 지수 값이 0.3 이상으로 조사되어 다양한 먹이를 먹는 것으 로 조사되었다. 반면, 금강모치, 부안종개, 감돌고기, 흰수마자, 다묵장어, 돌상어, 얼룩새코미꾸리, 북방종개는 Bi 지수 값이 0.1 이하로 조사되어 먹이원 다양성이 낮게 조사되었다.

유사한 시기에 조사된 다른 위도의 저서성대형무척추동물 군집 구조의 시공간적 차이를 비교한 결과, 평창 조사지역에서는 3문 5강 12목 44과 69분류군 13,042개체, 완도 조사지역에서는 4문 5강 12목 37과 52분류군 8,887개체가 채집되었다. 평창이 완도보다 다양도와 균등도 또한 높게 나타났다. 우점종은 평창에서는 두점하루살이로 나타났고, 완도에서는 길쭉하루살이로 서로 달랐다. 집괴 분석 결과 평창과 완도 조사지역의 군집 특성이 명확하게 나누어졌으며 지역 내에서는 대체로 계절성의 영향이 컸다. 지표종 분석에서는 총 4종의 지표종이 선정되었으며 대체로 해당 조사시기 및 지점에만 나타난 종이 선정되었다. 기능적 군집으로는 주워 먹는 무리인 깔따구류를 제외하였을 때 평창 조사지점에서는 긁어먹는 무리가 가장 많았다. 완도 조사지점에서는 주워 먹는 무리가 가장 많았으며 평창 조사지역에 비해 걸러먹는 무리의 비율이 더 높았다. 군집 온도지수 산출 결과 평창이 9.8℃, 완도가 11.0℃으로 평창의 군집이 더 낮은 온도를 선호하는 것으로 나타났다. 이는 서식지 온도 특성이 저서성대 형무척추동물 군집 구성에 크게 영향을 미치고 있음을 반영해 주었다.

국내 담수 어류 12과, 28속, 45종의 먹이원을 문헌 조사 한 결과, 동물류 먹이원은 16문, 24강, 54목, 126과, 212속으로 조사되었으며 식물류 먹이원은 10문, 18강, 42목, 63과, 82속으로 나타났다. 동물류 먹이원 중 가장 많은 어류가 섭식한 먹이원은 분류군에 따라 절지동물문, 곤충강, 파리목, 깔따구과로 조사되었으며, 식물류 먹이원은 돌말문, 윷돌말강, 반달돌말목, 반달돌말과로 조사되었다. SOM을 이용하여 45종 어류의 유형화 결과, 어류를 주로 포식하는 어류와 저서무척추동물을 포식하는 어류, 동물플랑크톤을 섭식하는 어류, 식물플랑크톤을 섭식하는 어류, 잡식성 어류 5가지 유형으로 나타났다. 네트워크 분석의 허브 점수가 높은 상위 5종의 어류는 블루길, 몰개, 수수미꾸리, 남방 종개, 새코미꾸리 순으로 나타났으며 먹이원 중 허브 점수가 높은 상위 5 종류의 먹이원은 파리목, 하루살이목, 이지목, 김발돌말목, 쪽배돌말목 순으로 조사되었다.