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Cumulative Effects of Constraints on Forest Management

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Regulations and other constraints that apply to forest management have increased over time as have attendant costs, which are measured here in terms of reduced yield. An example application shows that the marginal impact of an additional constraint depends on the constraints that precede it, initial conditions of the forest, and length of the planning horizon. This example concurs with other studies by showing that constraints can significantly (by more than 20%) reduce yields. However, the exact loss in potential yield depends on the specific situation. The impact of a new constraint is reduced if numerous constraints precede it, because an ever-increasing number of constraints eventually drives yields to zero. These results imply that the cumulative effect of ever-increasing constraints could eventually render forest management uneconomic.
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Keywords: best management practices; forest management; harvest scheduling

Document Type: Research Article

Publication date: 2012-04-01

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.

    2016 Impact Factor: 1.675 (Rank 20/64 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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