간행물
생태와 환경 KCI 등재 Korean Journal of Ecology and Environment
- 발행기관 한국수생태학회(구 한국하천호수학회)
- 자료유형 학술지
- 간기 계간
- ISSN 2288-1115 (Print)2288-1123 (Online)
- 수록기간 1968 ~ 2025
- 주제분류 공학 > 토목공학 공학 분류의 다른 간행물
- 십진분류KDC 454DDC 551
권호리스트/논문검색
Vol.58 No.4 (2025년 9월) 6건
1.
2025.09
구독 인증기관 무료, 개인회원 유료
This study investigated the characteristics of fish communities and distribution of endangered species in the mid-upper reach of Geumgang River, Korea, from September to October 2021. A total of 17,177 fish of 11 families and 46 species were collected from 13 survey stations during the survey period. The dominant species was Zacco koreanus (relative abundance of 17.45%), and the subdominant species was Z. platypus (16.73%), followed by Acheilognathus koreensis (8.49%), Hypomesus nipponensis (8.27%), Pungtungia herzi (7.28%), Coreoleuciscus splendidus (6.80%), Gobiobotia brevibarba (6.58%), Pseudopungtungia nigra (4.67%), A. yamatsutae (3.77%), G. macrocephala (3.38%), and Rhinogobius brunneus (3.04%). Among the collected fish species, 21 (45.65%) were identified as Korean endemics, and two exotic species, Lepomis macrochirus and Micropterus salmoides, were also observed. There were six species of endangered species that were designated by the Ministry of Environment (Class I: P. nigra and Liobagrus obesus; Class II: G. brevibarba, G. macrocephala, Hemibarbus mylodon, and Coreoperca kawamebari). H. mylodon is also a natural monument designated by the Korea Heritage Service. The cluster analysis showed that the dominance index was low, while the diversity and richness indices were high, indicating a stable and healthy fish community. The mid-upper reach of Geumgang River has a well-conserved and diverse aquatic environment and is inhabited by many endangered species and natural monuments. Therefore, continuous attention and systematic management are required.
5,100원
2.
2025.09
구독 인증기관 무료, 개인회원 유료
This study aimed to establish a regional cooperative network involving the Endangered Species Restoration Center (National Institute of Ecology), local governments, educational institutions, and community residents, and to develop a structured citizen science platform to support the conservation of the endangered beetle Polyphylla laticollis manchurica (Endangered Species Class I). The primary objective was to assess changes in citizens’ awareness and derive practical strategies for the conservation of endangered species through community engagement. Between 2023 and 2024, citizen scientists were recruited in the Miho River area of Cheongju, South Korea, and participated in educational programs designed to strengthen their research capacity. As a result of monitoring activities and ecological education, 153 individuals of P. l. manchurica were identified, demonstrating that participants were capable of independently conducting surveys following training. A post-program survey of 98 participants revealed a high level of understanding of the activities and a strong motivation for conservation activities. However, challenges remain in securing long-term sustainability of such initiatives, including the need for stable funding, structured feedback mechanisms, and appropriate incentive systems for continued citizen involvement. This study underscores the potential of citizen science as a viable tool for endangered species conservation and highlights the importance of regionally coordinated frameworks. The findings provide foundational data for promoting sustained, community-based conservation actions through local cooperation.
4,200원
3.
2025.09
구독 인증기관 무료, 개인회원 유료
Understanding the distribution of seagrass meadows is the first critical step toward their effective conservation and management. This study provides the first comprehensive assessment of Zostera species distribution along the southeastern coast of Korea’s South Sea. The survey encompassed coastal areas from Haeundae in Busan to Changwon, Geoje, Tongyeong, Sacheon, Goseong, Namhae, and Hadong in Gyeongsangnam-do, using local fisheries cooperative questionnaires, boat-based snorkeling, and SCUBA diving. Four Zostera species were identified: Zostera marina, Z. caespitosa, Z. caulescens, and Z. japonica. Among the 162 surveyed sites, Z. marina was the most prevalent, occurring at 140 sites (86.4%), followed by Z. japonica (10 sites, 6.2%), Z. caespitosa (9 sites, 5.6%), and Z. caulescens (3 sites, 1.9%). The total seagrass coverage by Zostera species in the region was 1,174.2 hectares, with species-specific coverage as follows: Z. marina (798.7 ha, 68.0%), Z. japonica (339.4 ha, 28.9%), Z. caulescens (29.0 ha, 2.5%), and Z. caespitosa (7.1 ha, 0.6%). The mean occurrence depths were 2.0±0.1 m for Z. marina and 2.7±0.2 m for Z. caespitosa, with the latter found slightly deeper. Z. caulescens occurred at the greatest depths, averaging 6.8±0.5 m (range: 5.0~8.8 m), while Z. japonica was limited to the intertidal zone. Z. marina predominated in all regions except Busan, while the Nakdong River estuary contained the nation’s largest Z. japonica habitat. Z. caespitosa was observed in Geoje, Changwon, and Tongyeong, whereas Z. caulescens was restricted to Geoje. These findings provide essential baseline data for the conservation and management of Zostera species in Korean coastal waters.
4,500원
4.
2025.09
구독 인증기관 무료, 개인회원 유료
A Study on the Prediction of Acute Toxicity of Chlorine Disinfection By-products Using Deep Learning
This study aimed to develop a model for accurately predicting the acute aquatic toxicity (48h- EC50) of chlorine disinfection by-products (DBPs). DBPs have caused environmental risks, but experimental toxicity data are difficult to obtain due to time, cost, and ethical constraints. Therefore, a deep learning model was developed using actual concentration-based data. Toxicity data for 139 aliphatic chlorinated compounds were from the OECD QSAR Toolbox and from aquatic toxicity test results provided by the japan ministry of the environment. Various concentration criteria, including nominal and measured concentrations, were encoded as additional inputs, and EC50 values were augmented via log transformation and structural string modifications to overcome small data limitations. The directed message passing neural network (D-MPNN) model, which considers bond directionality, was applied to reflect structural complexity accurately. Also, this model effectively reflected subtle structural differences and showed stable performance even with limited data. Comparisons between models with and without concentration criteria revealed that the model considering all concentration criteria had superior predictive accuracy. This result shows that concentration criteria are a critical factor in toxicity prediction. This study suggests a baseline model that works reliably even with small datasets reflecting realistic concentration criteria, showing its potential use for replacing some experiments and for screening toxic substances.
4,200원
5.
2025.09
구독 인증기관 무료, 개인회원 유료
This study investigated the seasonal water quality characteristics of two key environmental flow sources for the Gwangju Stream: the Yeongsan River water supply and effluent from a sewage treatment plant. Monitoring data collected between 2019 and 2023 were analyzed for both sources, and field surveys from October 2023 to June 2024 examined confluence points where environmental flows entered the Gwangju Stream, measuring both main-stream and inflow waters. The Yeongsan River supply recorded its highest spring organic matter levels (mean BOD: 5.2 mg L-1; maximum: 8.7 mg L-1), while the sewage treatment plant effluent exhibited pronounced seasonal variation in total nitrogen (T-N), ranging from a summer low of 8.2 mg L-1 to a winter high of 13.8 mg L-1. Upstream water quality remained stable; however, downstream BOD increased annually by 8.2%, and total phosphorus (T-P) peaked sharply in summer (0.567 mg L-1). Field survey results indicated that in spring, T-N increased by up to 495%, BOD by 182%, and T-P by 290%; in winter, T-N rose by 239%, BOD by 164%, and COD by 73%. These findings reveal marked seasonal variability in the influence of environmental flow sources, with T-N showing the most substantial increase in spring. The results highlight the need for targeted nutrient management strategies, such as increasing the proportion of the plant’s effluent in spring to stabilize nutrient loads and improving its biological treatment efficiency in winter to reduce T-N concentrations. Season-specific measures of this kind can improve water quality and help sustain the ecological integrity of the Gwangju Stream.
4,200원
6.
2025.09
구독 인증기관 무료, 개인회원 유료
This study developed a QSAR regression model using the XGBoost machine learning algorithm to predict the acute aquatic toxicity of highly hazardous PCBs. EC50 values for Daphnia magna were obtained from QSAR Toolbox 4.7. Input features consisted of approximately 3,000 molecular descriptors and fingerprints generated from official structure data using RDKit and the Morgan algorithm, excluding mixtures. The dataset was split into training and test sets (7 : 3) based on 500,000 randomized seeds, and the most balanced combination was selected using Kolmogorov-Smirnov and Wilcoxon rank-sum tests. Z-score standardization was applied based on the training set, and the XGBoost model was trained using 5-fold cross-validation with grid search optimization. The final model showed excellent predictive performance (R2 =0.97, RMSE= 0.19). A simplified model using only the top 10 predictive molecular features retained approximately 95% of the original accuracy while improving interpretability and efficiency. The model was applied to 38 PCB compounds lacking EC50 values, and the predicted values showed a statistically similar distribution to the measured group, with only minor differences in a few structural fingerprints. These results demonstrate the applicability of XGBoost-based models for reliable toxicity prediction and offer a promising alternative approach for assessing the environmental risk of untested PCBs.
4,000원
