Skip to main content

Landscape Management through Integration of Existing Tools and Emerging Technologies

Buy Article:

$29.50 plus tax (Refund Policy)

Abstract:

A landscape approach to forest management must consider the implications of alternative scenarios across stands and through time. The Landscape Management System, a computer program, facilitates implementation of this approach by integrating forest inventories, spatial information, growth models, visualization, summarization, and analysis. A case study with three scenarios--no harvest, clearcut, and thinning--exposes the complex tradeoffs inherent in forest management and highlights the need for comparative analysis tools.

Document Type: Journal Article

Affiliations: Professor, College of Forest Resources, University of Washington, Seattle, 98195

Publication date: June 1, 1998

More about this publication?
  • The Journal of Forestry is the most widely circulated scholarly forestry journal in the world. In print since 1902, the Journal has received several national awards for excellence. The mission of the Journal of Forestry is to advance the profession of forestry by keeping forest management professionals informed about significant developments and ideas in the many facets of forestry: economics, education and communication, entomology and pathology, fire, forest ecology, geospatial technologies, history, international forestry, measurements, policy, recreation, silviculture, social sciences, soils and hydrology, urban and community forestry, utilization and engineering, and wildlife management. The Journal is published bimonthly: January, March, May, July, September, and November.

    2015 Impact Factor: 1.476
    Ranking: 22 of 66 in forestry

    Also published by SAF:
    Forest Science
    Other SAF Publications
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Ingenta Connect is not responsible for the content or availability of external websites
saf/jof/1998/00000096/00000006/art00008
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