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    Author(s): Benedict J. Schulte; Joseph Buongiorno; Kenneth Skog
    Date: 1999
    Source: Proceedings of the Tenth Biennial Southern Silvicultural Research Conference : Shreveport, Louisiana, February 16-18, 1999. Asheville, N.C. : U.S. Dept. of Agriculture, Forest Service, Southern Research Station, 1999. General technical report SRS ; 30.:p. 381-387 : ill.
    Publication Series: General Technical Report (GTR)
    Station: Forest Products Laboratory
    PDF: View PDF  (138.0 KB)

    Description

    Nonlinear programming models of uneven-aged loblolly pine (Pinus taeda L.) management were developed to identify sustainable management regimes which optimize: 1) soil expectation value (SEV), 2) tree diversity, or 3) annual sawtimber yields. The models use the equations of SouthPro, a site- and density-dependent, multi-species matrix growth and yield model that recognizes three species groups (loblolly pine and other softwoods, soft hardwoods, and hard hardwoods) and 13 P-inch diameter-at-breast-height size classes. The regimes for optimal diversity almost obtain their theoretical maximum Shannon diversity indices, but have low SEVas. The optimal economic and production regimes each involve a guiding maximum diameter for softwoods and complete hardwood control, with the optimal maximum diameter a function of site productivity. Constrained optimizations in which SEV is maximized subject to increasing constraints on diversity show the tradeoffs between economic return and diversity objectives.

    Publication Notes

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    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

    Citation

    Schulte, Benedict J.; Buongiorno, Joseph.; Skog, Kenneth. 1999. Nonlinear programming models to optimize uneven-aged loblolly pine management. Proceedings of the Tenth Biennial Southern Silvicultural Research Conference : Shreveport, Louisiana, February 16-18, 1999. Asheville, N.C. : U.S. Dept. of Agriculture, Forest Service, Southern Research Station, 1999. General technical report SRS ; 30.:p. 381-387 : ill.

    Keywords

    Pinus taeda, Forest management, Mathematical models, Growth yield relationship, Species diversity, Stand structure, Equations, Biomass production, Optimization methods, Sawnwood, Stumpage value, Nonlinear programming

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