Optimizing Species Composition in Uneven-Aged Forest Stands

$29.50 plus tax (Refund Policy)

Buy Article:


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

More about this publication?
  • Membership Information
  • ingentaconnect is not responsible for the content or availability of external websites
Related content



Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more