Skip to main content

A Dynamic Programming Algorithm for Optimization of Lodgepole Pine Management

Buy Article:

$29.50 plus tax (Refund Policy)

Abstract:

Single-tree/distance-independent stand simulators can be adapted for dynamic programming (DP) optimization of thinnings and rotation age. Efficiency requires classification of trees for all but very short tree lists. Thinning types in conjunction with discrete basal-area, number-of-trees, and age classes define a DP network that allows the comparison of yields from more thinning regimes that have wider differences in sequences of diameter distributions than do networks without the thinning type dimension. Methods and results are demonstrated for a lodgepole pine (Pinus contorta Doug. ex Loud.) simulator developed for Central and Eastern Oregon. Optimal management regimes developed with and without quality premiums produce stands with high vigor indices and high resistance to attack by mountain pine beetle (Dendroctonus ponderosae Hopkins), suggesting that stocking control can be used to simultaneously maximize both net discounted revenue and insect resistance. However, managing stands with a maximum diameter limit to prevent attack substantially reduces net revenue when market premiums exist for large diameter trees. Forest Sci. 31:321-330.

Keywords: Dendroctonus ponderosae; Pinus contorta; forest economics; mountain pine beetle; stand growth model

Document Type: Journal Article

Affiliations: Silviculturist (retired), Silvicultural Laboratory, Pacific Northwest Forest and Range Experiment Station, USDA Forest Service, Bend, Oregon, 97701

Publication date: June 1, 1985

More about this publication?
  • Membership Information
  • ingentaconnect is not responsible for the content or availability of external websites
saf/fs/1985/00000031/00000002/art00010
dcterms_title,dcterms_description,pub_keyword
6
5
20
40
5

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
X
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