On the Convergence of Forest Stand Spatial Pattern Over Time: The Case of Random Initial Spatial Pattern

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Abstract:

A stochastic model is described representing the development of natural even-aged forest stand spatial pattern over time. This model is based on the assumption that the forest stand has a random or Poisson spatial pattern at an initial point in time. A single-stage, time-dependent Markov process is used to model stand dynamics over time. Under specific modeling assumptions it is shown that random spatial pattern is preserved as the stand changes. Forest Sci. 25:445-451.

Keywords: Markov process; Poisson distribution; even-aged stand; stochastic model

Document Type: Journal Article

Affiliations: Associate Professor of Forest Management, School of Forest Resources, University of Georgia, Athens, GA 30602

Publication date: September 1, 1979

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