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Empirical Substantiation of the (Double Rising)/(Double Effective) Method of Diameter Growth Estimation

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Periodic diameter growth can be obtained by remeasurement of forest stands without the identification (numbering) of individual trees by the Double Rising over Double Effective technique usually associated with the European "methode du contrĂ´le." In application, a complete tally of trees by diameter classes is needed on permanent plots or sample compartments even though the numbering of individual trees is not necessary. In this paper an empirical evaluation of the DR/DE technique is made using data from two continuous forest inventory (CFI) analyses, where typically, individual trees are numbered and growth is determined by subtraction of successive measurements made on each tree. The estimated average annual diameter growth obtained by the DR/DE method compared favorably with the actual average diameter growth as determined in the CFI analysis. Close agreement of the estimated and actual averages was observed in all diameter classes where the sample was reasonably large.

Document Type: Journal Article

Affiliations: Assistant Professor, Department of Forestry and Conservation, Purdue University, Lafayette, Ind.

Publication date: April 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.

    2015 Impact Factor: 1.476
    Ranking: 22 of 66 in forestry

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