
معرفی
Quang Cao is a Professor in the Department of Forestry at Louisiana State University (LSU), affiliated with the College of Agriculture Renewable Natural Resources. He specializes in growth and yield modeling, applying mathematical and statistical principles to forestry challenges. His research focuses on diameter distribution analysis, stand-level projections, and self-thinning dynamics in forest ecosystems. Cao has extensive experience in developing and validating models for forest inventory, biomass estimation, and tree survival prediction. He earned his Ph.D. in Forest Biometrics from Virginia Tech in 1981, following earlier degrees in Statistics and Forestry. Cao teaches courses such as Natural Resource Measurements and Forest Biometrics, emphasizing quantitative methods in forestry education.
Education
- Ph.D. in Forest Biometrics, Virginia Tech University, 1981
- M.S. in Statistics, Virginia Tech University, 1980
- M.S. in Forest Biometrics, Virginia Tech University, 1978
- B.S. in Forestry, National Agricultural Institute, Saigon, Vietnam, 1973
Research Interests
Dr. Cao’s work bridges statistical theory and practical forestry applications. Key areas include:
- Whole-stand and individual-tree growth modeling
- Quantile regression for survival analysis
- Compatibility of stand and tree-level models
- Self-thinning trajectories in plantation ecosystems
- Leaf area distribution and biomass estimation
- Integration of LiDAR data with traditional inventory methods
Publications
His recent work focuses on advancing methodologies for diameter distribution modeling, stand table projections, and self-thinning rules. Key themes include:
- Development of unified growth systems
- Application of Bayesian and quantile regression techniques
- Compatibility between individual-tree and whole-stand models
- Modeling forest dynamics in diverse ecosystems
Teaching and Academic Contributions
Cao contributes to LSU’s forestry curriculum through courses like RNR 2102 (Natural Resource Measurements) and FOR 3036 (Field Studies in Forest Mensuration). He has advised numerous graduate students and collaborates internationally on forestry projects.


