Scale and spatial structure effects on tree size distributions: Implications for growth and yield modelling

Canadian Journal of Forest Research

Volumn 36, Issue 11, 2006, Pages 2983-2993

  García, Oscar ^a  

^a UNIVERSITY OF NORTHERN BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

GROWTH KINETICS; MATHEMATICAL MODELS; STRUCTURAL ANALYSIS;

GROWTH MODELLING; SPATIAL STRUCTURE; TREE SIZE DISTRIBUTIONS;

FORESTRY;

DIAMETER; GROWTH MODELING; SIZE DISTRIBUTION; SPATIAL DISTRIBUTION; TREE; YIELD;

GROWTH; MATHEMATICAL MODELS; SIMULATION; STRUCTURAL ANALYSIS; TREES; YIELD;

CANADA; NORTH AMERICA;

EID: 34247203167     PISSN: 00455067     EISSN: None     Source Type: Journal    
DOI: 10.1139/X06-116     Document Type: Article

References (33)

1. Aurenhammer, F. 1991. Voronoi diagrams - A survey of a fundamental geometric data structure. ACM Comput. Surveys, 23: 345-405.
2. Bachacou, J., and Decourt, N. 1976. Etude de la compétition dans des plantations régulières à l'aide de variogrammes. Ann. Sci. For. 33: 177-198.
3. Barclay, H.J., and Layton, C.R. 1990. Growth and mortality in managed Douglas-fir: relation to a competition index. For. Ecol. Manage.36: 187-204.
4. Brown, G.S. 1965. Point density in stems per acre. N.Z. For. Res. Note 38, New Zealand Forest Service.
5. Cochran, W.G. 1963. Sampling Techniques. 2nd ed. Wiley, New York.
6. de Liocourt, F. 1898. De l'aménagement des sapinières. Bulletin trimestriel, Société forestière de Franche-Comté et Belfort, pp. 396-409. (English translation by Maria Nygren, The School of Natural Resources, University of Missouri-Columbia, August 2001. Available from http://www.snr.missouri.edu/silviculture/).
7. Diggle, P.J. 1979. On parameter estimation and goodness-of-fit testing for spatial point patterns. Biometrics, 35: 87-101.
8. Fox, J.C., Ades, P.K., and Bi, H. 2001. Stochastic structure and individual-tree growth models. For. Ecol. Manage. 154: 261-276.
9. García, O. 1992. What is a diameter distribution? In Proceedings of the Symposium on Integrated Forest Management Information Systems - An international symposium. Edited by M. Minowa and S. Tsuyuki. Japan Society of Forest Planning Press, Tokyo, Japan. pp. 11-29. Available from http://web.unbc.ca/garcia/publ/japan.pdf.
10. García, O. 1998. Estimating top height with variable plot sizes. Can. J. For. Res. 28: 1509-1517.
11. García, O., and Batho, A. 2005. Top height estimation in lodgepole pine sample plots. West. J. Appl. For. 20: 64-68.
12. Gregoire, T.G. 1998. Design-based and model-based inference in survey sampling: appreciating the difference. Can. J. For. Res. 28: 1429-1447.
13. Husch, B., Beers, T.W., and Kershaw, J.A., Jr. 2003. Forest mensuration. 4th ed. Wiley, New York.
14. Hynynen, J., and Ojansuu, R. 2003. Impact of plot size on individual-tree competition measures for growth and yield simulators. Can. J. For. Res. 33: 455-465.
15. Jaakkola, S. 1967. On the use of variable size plots for increment research. In Proceedings of IUFRO XIV Congress, Section 25, German Union of Forest Research Organizations (DVFFA), Munich. International Union of Forestry Research Organizations (IUFRO), Vienna Austria. pp. 371-378.
16. Kenkel, N.C., Hoskins, J.A., and Hoskins, W.D. 1989. Local competition in a naturally established jack pine stand. Can. J. Bot. 67: 2630-2635.
17. Lappi, J. 2005. Plot size related measurement error bias in tree growth models. Can. J. For. Res. 35: 1031-1040.
18. Loetsch F., and Haller, K. 1964. Forest inventory. Vol. I. BLV Verlagsgesellschaft, Munich.
19. Lorimer, C.G. 1983. Test of age-independent competition indices for individual trees in natural hardwood stands. For. Ecol. Manage. 6: 343-360.
20. Magnussen, S. 1989. Inter-plant interactions and their influence on within and among plot variances. Scand. J. For. Res. 4: 369-377.
21. Martin, G.L., and Ek, A.R. 1984. A comparison of competition measures and growth models for predicting plantation red pine diameter and height growth. For. Sci. 30: 731-743.
22. Matérn, B. 1960. Spatial variation. Meddelanden frøan Statens Skogsforskningsinstitut, 49, No. 5. (Reprinted by Springer-Verlag, 1986).
23. Matheron, G. 1971. The theory of regionalized variables and its application. Les Cahiers du Centre de Morphologie Mathématique de Fontainebleau 5, École Nationale Supérieure des Mines de Paris.
24. Munro, D.D. 1974. Forest growth models: a prognosis. In Growth Models for Tree and Stand Simulation. Royal College of Forestry, Stockholm, Sweden. Research Note 30. pp. 7-21.
25. Rich, P.M., and Fournier, R. 1999. BOREAS TE-23 map plot data [online]. Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee. Available from http://www.daac.ornl.gov.
26. Ripley, B.D. 1981. Spatial statistics. Wiley, New York.
27. Stage, A.R., and Wykoff, W.R. 1998. Adapting distance-independent forest growth models to represent spatial variability: effect of sampling design on model coefficients. For. Sci. 44: 224-238.
28. Stoyan, D., and Stoyan, H. 1994. Fractals, random shapes and point fields - Methods of geometrical statistics. John Wiley & Sons, Ltd., Chichester, UK.
29. Stuart, A. 1963. Some remarks on sampling with unequal probabilities. Bull. Int. Statistical Inst. 40: 773-779.
30. Sukhatme, P.V., and Sukhatme, B.V. 1970. Sampling theory of surveys with applications. Iowa State University Press, Ames, Iowa.
31. Vanclay, J.K. 1994. Modelling forest growth and yield: applications to mixed tropical forests. CABI International, Wallingford, Oxfordshire, UK.
32. Venables, W.N., and Ripley, B.D. 2002. Modern applied statistics with S. 4th ed. Springer, New York.
33. Whittle, P. 1956. On the variation of yield variance with plot size. Biometrika, 43: 337-343.