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Modeling Long-Term Fire-Caused Mortality of Douglas-Fir

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Mortality was determined in a stand of Douglas-fir 8 years after 20 plots were treated with light surface fires. Logistic regression was used to model long-term mortality as functions of morphological variables measured shortly after burning. Independent variables were diameter at breast height, height of needle scorch, percentage of the prefire crown volume scorched, season of burn, and the number of quadrants with dead cambium at 1.4 m bole height. Mortality increased with increasing scorch height, percent crown scorch, and dead cambium. It decreased with larger diameter. The best predictor of mortality was the number of quadrants with dead cambium. Percentage of crown volume scorched was a better predictor than lethal scorch height. For a given level of damage, mortality following fall season fires was slightly higher than following spring fires. Models may be used in planning prescribed fires and for salvaging fire-damaged Douglas-fir. For. Sci. 34(1):190-199.
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Keywords: Fire effects; Pseudotsuga menziesii; logistic regression; prescribed fire

Document Type: Journal Article

Affiliations: Research Forester, Intermountain Fire Sciences Laboratory, Intermountain Research Station, Missoula, MT

Publication date: 1988-03-01

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  • 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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