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Notes: A Generalized Approach to the Use of Matrix Growth Models

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Matrix models provide one of many alternatives to growth and yield modeling. An attractive aspect of the matrix approach is the ease with which a model may be developed once the appropriate data are collected. However, a serious drawback is the inflexibility of matrix models for making growth projections over intervals that are not integer multiples of the remeasurement period. We present a matrix factorization approach that overcomes this restriction. The key element is the solution of a nonlinear program designed to find an approximation of the original growth matrix. Forest Sci. 31:850-856.

Keywords: Forest management; matrix models; nonlinear programming

Document Type: Miscellaneous

Affiliations: Assistant Professor of Forest Resources, School of Forest Resources, 209 Ferguson Building, The Pennsylvania State University, University Park, PA 16802

Publication date: 1985-12-01

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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