Some Comments on the Error of the Total Volume Estimate
Abstract:Since the total volume estimate of a forest condition class is commonly obtained by multiplying an estimate of average volume per acre by an estimate of the area occupied by the condition class, it follows that the standard error of the total volume should make provision for the individual errors of average volume per acre as well as area. American forestry literature appears to stress the derivation of a suitable standard error of average volume per acre, yet all too often ignores or sidesteps a determination of the error of area and its combination with the first error into an error for total volume. This paper is intended chiefly to call attention to this fact and to show that, for at least certain inventory procedures in common use, the determination is simple and reasonable. Three approaches are shown by means of a concrete example that should serve the purpose. The separate errors bear no relation, one to the other, and in many instances, the ignored error, namely that of the area, is often the more important one.
Document Type: Journal Article
Affiliations: Harriman, Professor of Forest Management, School of Forestry, Yale University, New Haven, Conn.
Publication date: July 1, 1963
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- 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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