Quang Cao
Professor
Forestry
Room 323, RNR Building
Baton Rouge, LA 70803
phone: (225) 578-4218
email: qcao@lsu.edu
Research Interests
Growth and Yield Modeling:
- Whole-stand models
- Diameter-distribution models
- Stand-table projection models
- Individual-tree models
- Linking models of different resolutions
- Taper, Volume, and Biomass Models
Application of Mathematical and Statistical Principles in Forestry
- Leaf area distribution
- Self thinning
- Inherent correlations between stand biomass calculated from tree measurements
Education
- Ph. D. in Forest Biometrics; 1981. Virginia Tech University, Blacksburg, Virginia
- M. S. in Statistics; 1980. Virginia Tech University, Blacksburg, Virginia
- M. S. in Forest Biometrics; 1978. Virginia Tech University, Blacksburg, Virginia
- B. S. in Forestry; 1973. National Agricultural Institute, Saigon, Vietnam
Courses Taught
- RNR 2102 – Natural Resource Measurements. 2 hrs. Fall & Spring.
- RNR 3103 – Forest Biometrics. 2 hrs. Spring.
- FOR 3036 – Field Studies in Forest Mensuration. 2 hrs. Spring.
Refereed Publications
10 most recent
- Cao, Q. V. 2023. A new approach to project stand tables. Can. J. For. Res. 53:xxx-xxx.
- Ren, S, X. Qu, X. Zhang, L. Dong, Y. Yang, D. Lee, Q. V. Cao, Q. Wu, and T. Lei. 2023. Valorization of biomass furfural residue: Nitrogen-doped porous carbon towards electrocatalytic reaction. Ind. Crops & Prod. 193-116251.
- Chena, H., Q. V. Cao, Y. Jianga, J. Zhanga, and X. Zhang. 2023. A quantile regression approach to model stand survival in Chinese fir plantations. Can. J. For. Res. 53:xxx-xxx.
- Özçelik, R., Q. V. Cao, E. Kurnaz, and B. Koparan. 2022. Modeling diameter distributions of mixed-oak stands in northwestern Turkey. CERNE 28 e-102991.
- Cao, Q. V. 2022. Predicting future diameter distributions given current stand attributes. Can. J. For. Res. 52:561-567.
- Cao, Q. V. 2022. Deriving a tree growth model from any existing stand growth model. Can. J. For. Res. 52:169-174.
- Yang, S., Q. V. Cao, D. T. Shoch, and T. Johnson. 2022. Characterizing stand and biomass tables from diameter distribution models: A case study for mixed-hardwood forests in eastern Tennessee, USA. For. Sci. 68:8-16.
- Zhang, X., Q.V. Cao, Y. Qu, and J. Zhang. 2022. Deriving tree growth models from stand models based on the self-thinning rule of Chinese fir plantations. iForest 15:1-7.
- Cao, Q. V. 2021. A unified system for tree- and stand-level predictions. For. Ecol. Mgt. 480:118713.
- M. Teimouri, M., and Q. V. Cao. 2020. Statistical inference for Birnbaum-Saunders and Weibull distributions fitted to grouped and ungrouped data. Env. Resources Res. 8:97-108.