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    Author(s): Daniel C. Dey; Paul S. Johnson; H.E. Garrett
    Date: 1996
    Source: Canadian Journal of Forest Research. Vol. 26 no. 4.:p. 573-583. (1996)
    Publication Series: Scientific Journal (JRNL)
    Station: North Central Research Station
    PDF: View PDF  (1.91 MB)

    Description

    This paper describes a method for modeling the regeneration of even-aged oak stands in the Ozark Highlands of southern Missouri. The approach is based on (i) a growth model that is applicable to both oak sprouts and advance reproduction and (ii) a method for probabilistically estimating future size distributions of trees. The modeling method is illustrated using sprouting frequency, survival, and 5th-year height data for stump sprouts of five oak species. To consider the large residual variation in estimates of future sprout heights, nonlinear regression estimates of heights and their prediction errors are simultaneously used to estimate the probability that a sprout originating from a parent tree of a given species and diameter will grow into a specified 5th-year height class. To account for sprouting and survival failures, those probabilities are multiplied by logistic regression estimates of the probability that a parent tree will produce a sprout that survives to age 5. The resulting joint probabilities facilitate predicting future height distributions of surviving sprouts when the model is applied to a preharvest inventory of overstory trees.

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    Citation

    Dey, Daniel C.; Johnson, Paul S.; Garrett, H.E. 1996. Modeling the regeneration of oak stands in the Missouri Ozark Highlands. Canadian Journal of Forest Research. Vol. 26 no. 4.:p. 573-583. (1996)

    Keywords

    Ozark Highlands, Missouri, regeneration, oak forest

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