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

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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.
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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: 1979-09-01

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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