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Simulation of Diameter Growth and Mortality in Regrowth Eucalypt Forest of Southern Tasmania

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A single-tree, distance-independent simulation model to predict future diameter in unthinned, 20- to 80-year-old, even-aged regrowth eucalypt forest in southern Tasmania is described. The forest consists of pure and mixed-species stands of Eucalyptus obliqua, E. regnans, intermediates between these two species, and E. globulus. Regression equations relating diameter increments of individual trees of the various species to tree and stand parameters are determined. A regression equation to predict the probability of death of individual trees of a stand at any particular age is described; this function is used to simulate mortality as a stochastic process. Generalized least squares regression was used to compute these regression equations and the use of this technique is discussed. The diameter increment and mortality functions are tested by simulating growth of an independent set of test stands over periods varying from 3 to 21 years. The accuracy of estimates of future basal area and stocking of stands from these simulations is determined. The simulated and actual diameter distributions of the stands are shown to not differ significantly. Forest Sci. 27:603-616.
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Keywords: Eucalyptus; diameter increment; forest simulation; generalized least squares regression; mathematical models; mortality

Document Type: Journal Article

Affiliations: Senior Research Scientist, Division of Forest Research, CSIRO, Stowell Ave., Hobart, Tasmania 7000, Australia

Publication date: 1981-09-01

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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