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Nonlinear Programming Models to Optimize Uneven-Aged Shortleaf Pine ManagementAuthor(s): Benedict J. Schulte; Joseph Buongiorno
Source: In: Gen. Tech. Rep. SRS-48. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. pg. 448-453
Publication Series: Miscellaneous Publication
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DescriptionNonlinear programming models of uneven-aged shortleaf pine (Pinus echinata Mill.) management were developed to identify sustainable management regimes that optimize soil expectation value (SEV) or annual sawtimber yields. The models recognize three species groups (shortleaf pine and other softwoods, soft hardwoods and hard hardwoods) and 13 2-inch diameter-at-breast-height size classes. Reproduction, growth and mortality rates are a function of tree diameter, stand density and site productivity. The optimal economic and production regimes each involve a guiding maximum diameter for softwoods and periodic hardwood control, with the optimal maximum diameter a function of site productivity.
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CitationSchulte, Benedict J.; Buongiorno, Joseph. 2002. Nonlinear Programming Models to Optimize Uneven-Aged Shortleaf Pine Management. In: Gen. Tech. Rep. SRS-48. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. pg. 448-453
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