Notes: An Evaluation of Sampling Methods and Model Forms for Estimating Height-Diameter Relationships in Loblolly Pine Plantations
Authors: Arabatzis, Alexandros A.; Burkhart, Harold E.
Source: Forest Science, Volume 38, Number 1, 1 February 1992 , pp. 192-198(7)
Publisher: Society of American Foresters
Abstract:The prediction performance of eight height-diameter regression models was compared for estimating mean stand height when fitted to data selected from 175 loblolly pine (Pinus taeda) sample plots by (i) simple random sampling without replacement, and (ii) stratified random sampling with dbh classes acting as strata. Among the models tested, the nonlinear model of the form H = aeb/D performed best especially when fitted to data selected by simple random sampling. A small gain in precision obtained by stratification into dbh classes was outweighed by a substantial increase in bias due to the arbitrary allocation of numbers of sample trees to the strata. To update existing height-diameter models, it is recommended that new trees be selected and measured on every occasion instead of retaining the same sample trees used previously for model fitting. For. Sci. 38(1):192-198.
Document Type: Miscellaneous
Affiliations: Thomas M. Brooks Professor, Department of Forestry, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061-0324
Publication date: February 1, 1992
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