Dae-Seong Lee

Publications

• Ant Mortality with Food Competition in Forests along a Temperature Gradient
• Lattice Structure and Spatial Network Models Incorporating into Simulating Human-Mediated Dispersal of the Western Conifer Seed Bug Populations in South Korea
• Analysis of food preference and competition based on stomach contents of fish species inhabiting fresh and brackish waters in South Korea
• Taxonomic and Functional Diversity of Benthic Macroinvertebrate Assemblages in Reservoirs of South Korea
• Occurrence Prediction of Western Conifer Seed Bug (Leptoglossus occidentalis: Coreidae) and Evaluation of the Effects of Climate Change on Its Distribution in South Korea Using Machine Learning Methods
• Functional trait dataset of benthic macroinvertebrates in South Korean streams
• Occurrence Prediction of the Citrus Flatid Planthopper (Metcalfa pruinosa (Say, 1830)) in South Korea Using a Random Forest Model
• Distribution patterns of the freshwater oligochaete Limnodrilus hoffmeisteri influenced by environmental factors in streams on a Korean nationwide scale
• Effects of forest management practices on moth communities in a Japanese larch (Larix kaempferi (Lamb.) Carrière) plantation
• Evaluation of moth community changes and northward shifts in response to climate warming in Korea using both local and global occurrences
• Validity evaluation of a machine-learning model for chlorophyll a retrieval using Sentinel-2 from inland and coastal waters
• Predicting the global distribution of solenopsis geminata (Hymenoptera: Formicidae) under climate change using the maxent model
• Distribution patterns and vulnerability of stoneflies (Plecoptera: Insecta) in South Korean streams with conservation perspectives
• Predicting potential occurrence of pine wilt disease based on environmental factors in South Korea using machine learning algorithms
• Data-driven models for predicting community changes in freshwater ecosystems: A review
• Interpretable machine learning approach to analyze the effects of landscape and meteorological factors on mosquito occurrences in Seoul, South Korea
• Distribution patterns of odonate assemblages in relation to environmental variables in streams of South Korea
• Selection of climate variables in ant species distribution models: case study in South Korea
• An interpretable machine learning method for supporting ecosystem management: Application to species distribution models of freshwater macroinvertebrates
• Analyzing retraction responses of Tubifex tubifex (Oligochaeta: Naididae) colonies to copper treatments through a digital image analysis approach for developing early biological warning systems
• Predicting potential occurrence of Adelges tsugae (Homoptera: Adelgidae) on a global scale under climate change scenarios using maximum entropy model
• Developing a Robust SDM Pipeline for Predicting Climate-Driven Shifts in Freshwater Fish Distributions