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  1. Individual tree growth models for natural even-aged shortleaf pine

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    Author(s): Chakra B. Budhathoki; Thomas B. Lynch; James M. Guldin
    Date: 2006
    Source: Gen. Tech. Rep. SRS-92. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. pp. 359-361
    Publication Series: Miscellaneous Publication
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    Description

    Shortleaf pine (Pinus echinata Mill.) measurements were available from permanent plots established in even-aged stands of the Ouachita Mountains for studying growth. Annual basal area growth was modeled with a least-squares nonlinear regression method utilizing three measurements. The analysis showed that the parameter estimates were in agreement with respect to both direction and magnitude to those published by Lynch and others (1999) with data for the first two measurements. Since the tree measurements within a plot were correlated, a linear mixed model (with log-transformed basal area growth as a response) with a compound symmetry covariance structure for trees within a plot was also fitted. The mixed model fitted the basal area growth well, although the least-squares nonlinear model and the linear mixed model were not directly comparable.

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    Citation

    Budhathoki, Chakra B.; Lynch, Thomas B.; Guldin, James M. 2006. Individual tree growth models for natural even-aged shortleaf pine. Gen. Tech. Rep. SRS-92. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. pp. 359-361

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