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The Development of an Optimal Program for Sustained-Yield Management

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Abstract:

Two mathematical models are presented to aid foresters in developing sustained-yield cutting schedules. In the first model the volume to be cut is maximized subject to the various conditions imposed by nature and required by the management plan. In the second model the area to be cut is minimized while assuring a specified yield for each cutting period. The solution of a hypothetical management problem is presented to illustrate the usefulness as well as the limitations of these models. Various management alternatives are considered and evaluated in terms of the increase or decrease in the total yield produced. Thus, it is shown how the information available from this type of analysis can aid in the development of better cutting schedules and in the evaluation of proposed management practices.

Document Type: Journal Article

Affiliations: Ph.D. candidate in the School of Civil Engineering at Cornell University

Publication date: 1964-07-01

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

    Average time from submission to first decision: 39.6 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Forest Science
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