Skip to main content

A Mathematical Programming System for the Management of Industrial Forests

Buy Article:

$29.50 plus tax (Refund Policy)

Abstract:

The scheduling of harvest operations in an industrial forest determines future growing stock volumes, growth rates, harvest yields, cash flows, present worth, and return on investment. Some inadequacies of previously available techniques for preparing cutting schedules are discussed, and a computerized management planning system based on linear programming techniques is described. The system is designed to maximize present net worth subject to restrictions on harvest volumes and regeneration acreages. Results of a typical application of the system are discussed. Forest Sci. 17:428-445.

Keywords: Harvest schedules; costs and returns; stand growth

Document Type: Journal Article

Affiliations: Assist. Professor, Dep. of Statistics and Computer Center, and Union Camp Professor, School of Forest Resources, University of Georgia

Publication date: December 1, 1971

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Ingenta Connect is not responsible for the content or availability of external websites

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Partial Open Access Content
Partial Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect 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