Optimizing Species Composition in Uneven-Aged Forest Stands

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Abstract:

This article describes an approach for determining the optimal sustainable equilibrium diameter distribution and species composition for a mixed-species forest stand. Using the Prognosis Model-a single tree distance independent growth model and its attendant regeneration subsystem--the maximization objective is formulated in terms of three decision variables per species: (1) the scale and shape parameters of a Weibull distribution function, and (2) the total number of trees per acre. A direct search, derivative-free, constrained nonlinear programming algorithm is used to optimize the growth model under a sustainable equilibrium constraint. To facilitate optimization, the stochastic features of the Prognosis Model are transformed to their deterministic counterparts. Results are presented for the Abies lasiocarpa/Clintonia uniflora habitat type found in northern Idaho. For. Sci. 33(4):958-970.

Keywords: Diameter distributions; Investment efficiency; Prognosis Model; Weibull distribution function

Document Type: Journal Article

Affiliations: Research Assistant, College of Forest Resources and Center for Quantitative Science in Forestry, Fisheries and Wildlife, University of Washington, Seattle, WA 98195

Publication date: December 1, 1987

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