معرفی
Dr. Song Qian is a Professor in the Department of Environmental Sciences at the University of Toledo, College of Natural Sciences and Mathematics. His research focuses on quantitative methods for environmental and ecological data analysis, particularly using Bayesian hierarchical models to study cross-scale ecological processes.
- Ph.D. from Duke University (1995)
- M.S. from Nanjing University
- B.S. from Tsinghua University
Research interests include: water quality modeling, stream ecosystem responses to urbanization, harmful algal blooms in Lake Erie, statistical methods for chemical measurements, and ecological applications of Bayesian networks. Recent work addresses grass carp spawning dynamics, climate change effects on phenology, and nutrient management challenges.
Contact: song.qian@utoledo.edu | Phone: 419.530.4230
Article trends show strong focus on invasive species management (12/15), water quality assessment (10/15), and climate change impacts (7/15) using advanced Bayesian techniques across aquatic ecosystems in North America, China, and Antarctica.
