A5063478541- Fish Ecology and Management Studies
- Species Distribution and Climate Change
- Environmental Toxicology and Ecotoxicology
- Constructed Wetlands for Wastewater Treatment
- Heavy metals in environment
- Hydrological Forecasting Using AI
- Aquatic Ecosystems and Phytoplankton Dynamics
- Fish Biology and Ecology Studies
- Aquatic Invertebrate Ecology and Behavior
- Phosphorus and nutrient management
- Environmental DNA in Biodiversity Studies
- Thermochemical Biomass Conversion Processes
- Water Quality Monitoring and Analysis
- Aquatic Ecosystems and Biodiversity
- Mercury impact and mitigation studies
- Pharmaceutical and Antibiotic Environmental Impacts
- Freshwater macroinvertebrate diversity and ecology
- Toxic Organic Pollutants Impact
- Diverse Topics in Contemporary Research
- Data Analysis with R
- Benford’s Law and Fraud Detection
- Digital Media Forensic Detection
- Consumer Perception and Purchasing Behavior
- Technology and Data Analysis
- Wastewater Treatment and Reuse
Korea University
2013-2024
In this study, water flow rate and quality variables that restrict freshwater fish distribution were incorporated in species modeling to evaluate the impacts of climate change. A maximum entropy model (MaxEnt) was used predict 76 present (2012–2014) future (2025–2035 2045–2055) based on representative concentration pathway (RCP) 4.5 RCP 8.5 scenarios for five major river basins (Han, Nakdong, Geum, Seomjin, Yeongsan) South Korea. The accuracy MaxEnt performance improved from 0.905 0.933,...
Predicting the shift of invasive species distribution in response to climate change is essential for ecological risk assessment. In this study, largemouth bass (Micropterus salmoides) was predicted from 2016 2085 Han River basin South Korea using HadGEM3-RA based scenarios (representative concentration pathway [RCP] 4.5 and 8.5 scenarios). A random forest model developed occurrence data environmental variables (temperature, precipitation, flow rate, water quality, elevation, slope) five...
The aim of this study was to predict the distribution a potential invasive alien species, smallmouth bass (Micropterus dolomieu), in South Korea using life-history-based habitat suitability model. Environmental data (air temperature, water and fish occurrence) at present (2011–2020) were collected from 160 representative sites across five river basins (Han, Nakdong, Guem, Seomjin, Yeongsan). Future predictions conducted under concentration pathway 8.5 scenario 2050s (2046–2055) 2080s...
The use of data-based species distribution models (SDMs) has increased significantly in recent years. However, studies determining the minimum requirements occurrence sites from ecological monitoring datasets used modelling remain insufficient. Therefore, this study proposed a framework to determine threshold for SDMs by assessing compliance with Benford's law. test verified that national-scale freshwater fish dataset was natural and reliable. Results derived true skill statistics (TSS)...
This study aimed to evaluate classification algorithms predict largemouth bass (Micropterus salmoides) occurrence in South Korea. Fish monitoring and environmental data (temperature, precipitation, flow rate, water quality, elevation, slope) were collected from 581 locations throughout four major river basins for 5 years (2011–2015). Initially, 13 models built the caret package evaluated predicting occurrence. Based on accuracy (>0.8) kappa (>0.5) criteria, top three (i.e., random...
Climate change, which has the potential to alter water flow and temperature in aquatic environments, can influence freshwater fish habitat. This study used an ecological habitat suitability model (EHSM), integrates hydraulic (water depth velocity) physiologic temperature) suitability, investigate impact of climate change on two native species (Zacco platypus Nipponocypris koreanus) South Korea. The predicted that 2080 (2076–2085), decrease average (EHS) will be higher for N. koreanus (19.2%)...
Abstract Human‐induced climate change causes extreme weather events, and flooding induced by heavy rainfall in the riparian system is no exception. The southern Korean Peninsula witnessed record‐breaking during summer of 2020, resulting an flood event that caused extensive damage to ecosystem along Seomjin River. This study was aimed at identifying composite factors vegetation destruction entire river. Based on a spatially explicit multilevel approach, it found large‐scale geomorphic...
기후변화에 의한 온도 상승 및 강수량 변화는 수량 수질을 포함한 수환경의 변화로 이어져 결과적으로 수생생물의 서식지에 영향을 미친다. 이와 같은 서식지 생물종의 서식적합도 이어지고, 서식적합도에 의해 종분포가 결정된다. 따라서 담수 어류의 서식적합성 변화를 예측하기 위하여 기존의 모형을 비교 분석하였다. 모형은 PHABSIM, CCHE2D, CASiMiR, RHABSIM, RHYHABSIM, River2D과 서식지-수리 모형과 CLIMEX와 서식지-생리 모형으로 구분하여 조사하였다. 모형들은 수리학적 인자 (유속, 수심, 기질)를 이용하여 서식적합도를 때문에, 수온을 수질의 평가할 수 없다. 반면, CLIMEX는 기후 인자에 대한 생물의 생리학적 반응을 평가하기 물리적 (수리학적 인자)의 이러한 문제를 해결하기 모형인 PHABSIM과 CLIMEX의 구동 원리를 융합하여 모형들보다 다양한 환경 예측할 있는 새로운 생태학적 모형 (EHSM)의 개념을 제안하였다. 이 더욱 정확하게...