Analysis compares Bitterlich and circular plot sampling for estimating forest metrics, indicating optimal plot choices.
Cost-effectiveness analysis is demonstrated by the solution of a problem of choice between Bitterlich and circular plot sampling rules in the estimation of total forest basal area and total trees in the forest. The half-width of a 95 percent confidence interval is chosen as the criterion of effectiveness. A budget function is developed. Plot size and number of plots in a random sample are the inputs that affect costs and effectiveness. Economic theory is used to identify optimum number and size of plots for all parameter-sampling rule combinations. Choice in the presence of multiple goals is discussed.
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O'Regan et al. (1966) studied this question.
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