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Lianjun Zhang
Professor
323 Bray Hall
1 Forestry Dr.
Syracuse, New York 13210
Phone:
(315) 470-6558/470-6536
Email: lizhang@syr.edu
Highest Education
Ph.D. University of Idaho (Forest Biometrics and Growth and Yield Modeling), 1990.
Areas of Study
Forest biometrics, Quantitative silviculture.
Courses Taught
- FOR 323 Forest Biometrics
- FOR 796 Quantitative Silviculture
- APM 630 Regression Analysis
- APM 635 Multivariate Statistical Methods
- APM 645 Nonparametric Statistics and Categorical Data Analysis
Current Graduate Advisees
Liyang Shao
lshao@syr.edu
- Degree Sought: PHD
- Graduate Advisor(s): Zhang and Hall,m
- Area of Study: Monitoring, Analysis, and Modeling
- Undergraduate Institute: Beijing Forestry University (City and Regional Pl)
- Previous Graduate Study: Institue of Geographic Science (Physical geography )
Personal Statement
I'll always see myself as a scientist from the button of my heart. During the time in ESF and SU, I am pursuing a PhD on Environmental Science with a focus on environmental health. I believe the leverages of statistics and GIS will help people make better decision on public health policy.
Graduate Research Topic
My dissertation research is about evaluation on intervention effects of children's lead poisoning in Syracuse, NY. Children's blood lead levels were the major health measurements, I applied time series analysis, regression and geospatial analysis to assess the long-term effects of lead poisoning prevention program on children's health.
Favorite Quote
“Live as if you were to die tomorrow. Learn as if you were to live forever.”
― Mahatma Gandhi
Zhen Zhen
zhzhen@syr.edu
- Degree Sought: PHD/MPS
- Graduate Advisor(s): Zhang and Quackenbush
- Area of Study: FRM Monitoring, Analysis, and Modeling
- Undergraduate Institute: Northeast Forestry University (Geography)
- Previous Graduate Study: Northeast Forestry University (Forestry and Related)
Links
Web Link
Personal Statement
Keep moving forward!
Graduate Research Topic
Application of Quantitative methods and remote sensing techniques in forest management
Favorite Quote
Tell me and I will forget; show me and I may remember; involve me and I will understand.
Home Page
Web Link
Selected Publications
Zhang, L., J.A. Moore and J.D. Newberry. 1993. Disaggregating stand volume growth to individual trees. Forest Science 39(2):295-308.
Force. J.E., G.E. Machlis, L. Zhang, and A. Kearney. 1993. The relationship between timber production, historical events and community social change: a quantitative case study. Forest Science 39(4):722-742.
Tang, S., Y. Wang, L. Zhang, and C.H. Meng. 1997. A distribution-free method to predict stand diameter distribution. Forest Science 43(4):491-500.
Force, J.E., G.E. Machlis, and L. Zhang. 2000. The engines of change in resource-dependent communities. Forest Science 46(3):410-422.
Li, F., L. Zhang, and C. Davis. 2002. Modeling the joint distribution of tree diameters and heights by bivariate generalized beta distribution. Forest Science 48(1):47-58.
Liu, C., L. Zhang, C.J. Davis, D.S. Solomon, and J.H. Gove. 2002. A finite mixture model for characterizing the diameter distribution of mixed-species forest stands. Forest Science 48(4):653-661.
Liu, C., L. Zhang, C.J. Davis, D.S. Solomon, T.B. Brann, and T. Caldwell. 2003. Comparison of neural networks and statistical methods in classification of ecological habitats using FIA data. Forest Science 49(4):619-631.
Shi, H. and L. Zhang. 2003. Local analysis of tree competition and growth. Forest Science 49(6):938-955.
Zhang, L., C. Liu, C.J. Davis, D.S. Solomon, T.B. Brann, and T. Caldwell. 2004. Fuzzy classification of ecological habitats from FIA data. Forest Science 50(1):117-127.
Zhang, L. and H. Shi. 2004. Local modeling of tree growth by geographically weighted regression. Forest Science 50(2):225-244.
Zhang, L. and J.H. Gove. 2005. Spatial assessment of model errors from four regression techniques. Forest Science 51(4):334-346.
Ni, C. and L. Zhang. 2008. An estimator of prediction error variance for projection equations. Forest Science 54(6):569-578.
Kiernan, D.H., E. Bevilacqua, R.D. Nyland, and L. Zhang. 2009. Modeling tree mortality in low- to medium-density uneven-aged hardwood stands under a selection system using Generalized Estimating Equations. Forest Science 55(4):343-351.
Zhang, L., Z. Ma, and L. Guo. 2009. Spatial autocorrelation and heterogeneity in the relationships between tree variables. Forest Science 55(6):533-548.
Wang, M., A. Upadhyay, and L. Zhang. 2010. Trivariate distribution modeling of tree diameter, height, and volume. Forest Science 56(3):290-300.
Lu, J. and L. Zhang. 2010. Evaluation of parameter estimation methods for fitting spatial regression models. Forest Science (in press).
