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A Simulation Approach for Predicting the Effect of Douglas-Fir Tussock Moth Defoliation on Juvenile Tree Growth and Stand Dynamics

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A spatially dependent tree growth projection model was developed and used to simulate juvenile grand fir, Abies grandis (Dougl.) Lindl., Douglas-fir, Pseudotsuga menziesii (Mirb.) Franco, and ponderosa pine, Pinus ponderosa Laws., in northern Idaho. Simulated experiments using the model examined the effects of Douglas-fir tussock moth, Orgyia pseudo-tsugata McDunnough, defoliation on stand dynamics during the first 40 years of stand development. The sequence and intensity of the defoliation episodes were varied for different combinations of age, stand density, and tree species composition at the time of the first defoliation. The results are summarized in statistical models which predict the long-term effects of tussock moth defoliation on stand dynamics. Results indicate that the insect regulates primary forest production by reducing stand biomass and by redistributing growth energy from host to nonhost trees by altering intertree competitive relationships to the advantage of nonhosts. Forest Sci. 27:685-700.

Keywords: Abies grandis; Orgyia pseudotsugata; Pinus ponderosa; Pseudotsuga menziesii; growth and yield

Document Type: Journal Article

Affiliations: Professor, College of Forestry, Wildlife and Range Sciences, University of Idaho, Moscow, Idaho 83843

Publication date: December 1, 1981

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.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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