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A Silvicultural-Financial Simulator for Nonindustrial Forest Land in the Northeast

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A simulator has been developed to provide localized physical and financial information to support forest management decisions on NIPF (Nonindustrial Private Forest) lands in the Northeast. Using data from a stratified point sample, the current status of the forest is displayed. After silvicultural options are identified by the user, growth and treatment are simulated over 20 years at 5-year intervals. The single-tree, distance-independent growth model allows growth to be associated with characteristics of individual trees at each sample point. The cruiser's assessment of local stand conditions is closely reflected in the treatment simulation. Projected cash flows are used in the financial analysis of treatment options. A case study illustrates the ability of the model to differentiate financial outcomes from alternative regimes. Although the model could be used in a variety of situations, its sensitivity to changes in stand density, merchantable height, and tree product make it a particularly useful decision tool in the heterogeneous stands often found on NIPF lands in the Northeast. Forest Sci. 31:706-716.

Keywords: Stand structure; forest management decisions; growth model

Document Type: Journal Article

Affiliations: Associate Professor, Department of Forestry and Wildlife Management, University of Massachusetts, Amherst, MA 01003

Publication date: 1985-09-01

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
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