Management Inventory (CFI) and Some of its Basic Statistical Problems

Author: Cunia, T.

Source: Journal of Forestry, Volume 66, Number 4, 1 April 1968 , pp. 342-350(9)

Publisher: Society of American Foresters

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Abstract:

Management Inventory is mainly concerned with supplying data on current volume and growth of relatively large forest areas. The sampling technique has certain characteristics, the main ones being (a) successive measurements on permanent and temporary plots, (b) post-stratification instead of pre-stratification, (c) estimates independent of changing concepts of merchantability or accessibility and (d) accounting for all sources of error (sample plots, volume tables, measurement error). The main problems concern (a) use of proper formulae to calculate error due to sample plots that take into account the basic sampling design, (b) expression of the volume tables and what the proper formulae are for estimating their error, (c) use of proper formulae to combine the error from these two sources, (d) steps to keep down the measurement error and (e) use of the theory of "sampling with partial replacement" so as to have an efficient design.

Document Type: Journal Article

Affiliations: Professor of Forest Mensuration, State University College of Forestry at Syracuse University, Syracuse, N.Y.

Publication date: April 1, 1968

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.
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