Skip to main content

Multiattribute Decision Theory and Forest Management: A Discussion and Application

Buy Article:

$29.50 plus tax (Refund Policy)

Abstract:

The procedures required to implement Multiattribute Decision Theory (MDT) are presented. MDT is then applied to the management of a stand of timber owned by a nonindustrial private forest (NIPF) landowner who wanted to maximize both timber income and esthetic benefits. Harvesting/regeneration procedures of intermediate intensity maximize the well-being of a segment of NIPF landowners. For. Sci. 33(4):835-845.

Keywords: Economics; forest economics; nonindustrial forests

Document Type: Journal Article

Affiliations: Agricultural Economist, Economic Research Service, U.S. Department of Agriculture, 1301 New York Avenue, NW, Room 508, Washington, DC, 20005-4788

Publication date: December 1, 1987

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
saf/fs/1987/00000033/00000004/art00004
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
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