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Nonlinear programming models to optimize uneven-aged loblolly pine managementAuthor(s): Benedict J. Schulte; Joseph Buongiorno; Kenneth Skog
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
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DescriptionNonlinear 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.
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CitationSchulte, 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.
KeywordsPinus 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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