|
Dr.
Chris
Cieszewski
Faculty
Professor
Fiber Supply Assessment
Research Interests
Area of Specialization:Forest Biometrics Growth and Yield Modeling Self-referencing Functions Quantitative Management Quantitative Silviculture |
Background
Education:Ph.D. Forest Biometrics, 1994 The University of Alberta M.Sc. Quantitative Analysis and Modeling, 1989 The University of British Columbia MF Harvest Optimization, 1983 Eng. Forestry, 1981 Agriculture University in Warsaw Prior Positions: Senior Consultant, 1997 - Present DR Systems Inc., Nanaimo, B.C. Forest Biometrician, 1995 - 1996 ManTech Int. Corp., Corvallis, Oregon Research Scientist, 1994 - 1995 Forest Mensurationist, 1986 - 1994 Canadian Forest Service, NoFC, Edmonton, AB
Publications
Cieszewski, C. 2002. Comparing fixed- and variable-base-age polymorphic site equations having single versus multiple asymptotes. Forest Science 48(1):7-23.
Borders, B; Harrison, M; Zhang, Y; Shiver, B; Clutter, M; and Cieszewski, C. 2003. Growth and yield models for second rotation loblolly pine plantations in the piedmont / upper coastal plain and the lower coastal plain of the southeastern United States. Plantation Management Research Cooperative Technical Report 4. 48 p.
Cieszewski, C; Zasada, M; Lowe, R; Borders, B; Clutter, M; and Daniels, R. 2003. Long-term sustainability analysis of fiber supply in Georgia. Forest Ecology and Management 187(2-3):345 - 359.
Cieszewski, C and Bella, I.E. 1993. Modeling density-related lodgepole pine height growth, using Czarnowski's stand dynamics theory. Can. J. For. Res. 23:2499-2506.
Cieszewski, C and Bella, I.E. 1995. Adjusting lodgepole pine site index for density related height growth reduction. In P.F. Newton (Editor). 1995. Newfoundland and Labrador Region Information Report N-X-295. p. 11-19..
Cieszewski, C; Turner, D.P.; and Phillips, D.L. 1996. Statistical analysis of error propagation in national level carbon budgets. In Proceedings of the Second International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Fort Collins, Colorado. Colorado State University. May 21-23, 1996..
Cieszewski, C; Bella, I.E.; and Walker, D. 1999. Implementation of a base age invariant height model for lodgepole pine in company timber supply analysis. Forestry Chronicle 75:1-3.
Cieszewski, C; Harrison, M.W.; and Martin, S.W. 2000. Examples of Practical Methods for Unbiased Parameter Estimation in Self-Referencing Functions. In Cieszewski C.J. (Editor). 2000. Proceedings of The First International Conference on Measurements and Quantitative Methods and Management, held on Jekyll Island, Georgia, November 17-18, 1999.
Cieszewski, C; Borders, B; Whiffen, H; and Harrison, M.W. 2000. Forest Inventory in Georgia. In Zawila-Niedzwiecki and Brach (Editors). 2000. Proceedings of the International IUFRO Conference on "Remote Sensing and Forest Monitoring" in Rogow, Poland. June 1-3, 1999.
Cieszewski, C; Bailey, R.L.; Borders, B; Brister, G.H.; and Shiver, B. 2000. Base Age Invariance and Inventory Projections. In Hansen, M., and T. Burk. Proceedings of "An International Conference on the Inventory and Monitoring of Forested Ecosystems", Integrated Tools for Natural Resources Inventories in the 21st Century. August 16-20, 1998, Boise Centre on the Grove, Boise, Idaho, USA.
Cieszewski, C and Bailey, R.L. 2000. Generalized Algebraic Difference Approach: A New Methodology for Derivation of Biologically Based Dynamic Site Equations. Forest Science 46:116-126.
Cieszewski, C. Editor. 2000. Proceedings of the First International Conference on Measurements and Quantitative Methods and Management held on Jekyll Island, Georgia, November 17-18, 1999.
Cieszewski, C. 2000. Analytical Solution to the Generalized Log-Logistic Equation. Forest Science 46:291-296.
Cieszewski, C. 2001. Analytical Solution to the Generalized Log-Logistic Equation. Forest Science 46:291-296.
Cieszewski, C and Burkhart, H. 2001. Special Issue on Measurements and Quantitative Methods and Management in Modern Forestry. Mathematical Modelling and Scientific Computing 13:177-267.
|
|
Office:
526
Building 4
Phone: 706.542.8169
|