Hostname: page-component-586b7cd67f-t8hqh Total loading time: 0 Render date: 2024-11-22T10:30:41.613Z Has data issue: false hasContentIssue false

Zone of influence models for competition in plantations

Published online by Cambridge University Press:  01 July 2016

D. J. Gates
Affiliation:
CSIRO Division of Mathematics and Statistics, Canberra
M. Westcott
Affiliation:
CSIRO Division of Mathematics and Statistics, Canberra

Abstract

A plantation is modelled in terms of discs of random size centred on the points of a two-dimensional lattice, together with rules for partitioning the union of these discs. The resulting sets are functions of random sequences, and some properties of these functions are deduced. Results are given which relate various properties of measurements on a plantation to measurements of individual plants and of plants in isolation. These include limit theorems for complete plantations and for samples. They also lead to a rigorous demonstration of certain well-known empirical relations between typical measurements and survival frequencies and to some new relations which are amenable to test. The model is a formulation of computer simulations which have had success in describing competition in plantations, but are too costly for routine forest management.

Type
Research Article
Copyright
Copyright © Applied Probability Trust 1978 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bella, I. E. (1971) A new competition model for individual trees. Forest Sci. 17, 364372.Google Scholar
Billingsley, P. (1968) Convergence of Probability Measures. Wiley, New York.Google Scholar
Czarnowski, M. S. (1961) Dynamics of even-aged forest stands. Louisiana State University Studies, Biological Science Series No. 4.Google Scholar
Diggle, P. J. (1976) A spatial stochastic model of interplant competition. J. Appl. Prob. 13, 662671.Google Scholar
Feller, W. (1971) An Introduction to Probability Theory and its Applications, Vol. 2, 2nd edn. Wiley, New York.Google Scholar
Ford, E. D. (1975) Competition and stand structure in some even-aged plant monocultures. J. Ecol. 63, 311333.Google Scholar
Fries, J., (ed.) (1974) Growth Models for Tree and Stand Simulation. Royal College of Forestry, Stockholm Dept. of Forest Yield Research, Research Notes 30.Google Scholar
Gates, D. J. (1978) Bimodality in even-aged plant monocultures. J. Theoret. Biol. Google Scholar
Loève, M. (1977) Probability Theory I, 4th edn. Springer-Verlag, New York.Google Scholar
Miles, R. E. (1972) The random division of space. Suppl. Adv. Appl. Prob. 4, 243266.CrossRefGoogle Scholar
Mitchell, K. J. (1969) Simulation of the Growth of Even-aged Stands of White Spruce. Yale University School of Forestry Bulletin No. 75.Google Scholar
Mitchell, K. J. (1975a) Dynamics and Simulated Yield of Douglas Fir. Forest Science, Monograph 17.Google Scholar
Mitchell, K. J. (1975b) Stand description and growth simulation from low-level stereo photos of tree crowns. J. Forestry, January 1975, p. 12.Google Scholar
Moran, P. A. P. (1967) Testing for correlation between non-negative variables. Biometrika 54, 385394.Google Scholar
Munro, D. D. (1974) Forest growth models—a prognosis. In Fries, (1974).Google Scholar
Opie, J. E. (1968) Predictability of individual tree growth using various definitions of competing basal area. Forest Sci. 14, 314323.Google Scholar
Rosenblatt, M. (1974) Random Processes, 2nd edn. Springer-Verlag, New York.CrossRefGoogle Scholar
Ruelle, D. (1969) Statistical Mechanics. Benjamin, New York.Google Scholar
Seneta, E. (1976) Regularly Varying Functions. Lecture Notes in Mathematics 508, Springer-Verlag, Berlin.CrossRefGoogle Scholar
White, J. and Harper, J. L. (1970) Correlated changes in plant size and number in plant populations. J. Ecol. 58, 467485.Google Scholar
Yoda, K., Kira, T., Ogawa, H. and Husimi, H. (1963) Self thinning in over-crowded pure stands under cultivated and natural conditions. J. Inst. Polytech. Osaka City Univ. D 14, 107129.Google Scholar