A multivariate control solution to the mixed species/diameter class thinning and final rotation problem Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/f4752j87n

Descriptions

Attribute NameValues
Creator
Abstract or Summary
  • The algorithm RLS-PLUS was developed to yield solutions to the multivariate control problem of diameter and species optimization for mixed conifer and hardwood stands. The problem is specified with twenty-five state variables consisting of five species groups with four merchantable diameter classes and one unmerchantable class. This gives twenty diameter species group control variables. The large state vector allows the algorithm to account for competitive interactions among species in the optimization process. RLS-PLUS is an extension of the RLS-PATH algorithm. Specific extensions in the application of RLS-PLUS are the differentiation of species through expansion of the controls, and greater detail of the economic parameters. RLS-PLUS and RLS-PATH both limit their search to a single state space per iteration. RLS-PLUS also relies on the assumption of a monotonically increasing production function, in accordance with the PATH algorithm. RLS-PLUS was applied to the single tree, distance independent growth model ORGANON version 3.0 (Hann, 1983). Optimal thinning trajectories prioritized the removal of the relatively slow growing, highly competitive species when stumpage values are constant across all species. Altering the stumpage values of different species groups predictably alters the prioritization of species removal. Optimal soil expectation values (SEV) determined in the twenty control variable problem ranged from seven to sixteen percent greater than if the problem state space was reduced to four diameter class controls.
Resource Type
Date Available
Date Issued
Degree Level
Degree Name
Degree Field
Degree Grantor
Commencement Year
Advisor
Academic Affiliation
Non-Academic Affiliation
Subject
Rights Statement
Language
Digitization Specifications
  • Master files scanned at 600 ppi (256 Grayscale) using Capture Perfect 3.0 on a Canon DR-9080C in TIF format. PDF derivative scanned at 300 ppi (256 Grayscale), using Capture Perfect 3.0, on a Canon DR-9080C. CVista PdfCompressor 4.0 was used for pdf compression and textual OCR.
Replaces
Additional Information
  • description.provenance : Made available in DSpace on 2009-01-29T14:31:42Z (GMT). No. of bitstreams: 1 Cousar_Paul_K_1992.pdf: 1779973 bytes, checksum: ab1bf7b0b7211ed35bd88c2e2bcb90bf (MD5)
  • description.provenance : Submitted by Digital Production (digitalproduc@gmail.com) on 2009-01-28T22:11:48Z No. of bitstreams: 1 Cousar_Paul_K_1992.pdf: 1779973 bytes, checksum: ab1bf7b0b7211ed35bd88c2e2bcb90bf (MD5)
  • description.provenance : Approved for entry into archive by Linda Kathman(linda.kathman@oregonstate.edu) on 2009-01-29T14:31:42Z (GMT) No. of bitstreams: 1 Cousar_Paul_K_1992.pdf: 1779973 bytes, checksum: ab1bf7b0b7211ed35bd88c2e2bcb90bf (MD5)
  • description.provenance : Approved for entry into archive by Linda Kathman(linda.kathman@oregonstate.edu) on 2009-01-29T14:21:00Z (GMT) No. of bitstreams: 1 Cousar_Paul_K_1992.pdf: 1779973 bytes, checksum: ab1bf7b0b7211ed35bd88c2e2bcb90bf (MD5)

Relationships

Parents:

This work has no parents.

Last modified

Downloadable Content

Download PDF

Items