Abstract
Generally, the forest companies use the total one year planting area as a minimum stratum of the total population and, consequently, the forest inventory processing has been conducted by applying the stratified random sampling to it. This study was carried out in the National Forest of Tres Barras, Brazil, and it aimed to classify and map the sites of Pinus elliottii stands. A systematic sampling was structured into clusters and applied independently by compartments. The clusters, in maltese cross, were composed of four sampling subunits, using Prodan sampling method with a fixed number of six trees. By analysis of the methodology it was possible to confirm the hypothesis: a) the selective thinning cause expressive increase of volumetric variability within compartments; b) the variation of sites within the compartments causes volumetric expansion of variance and this grows proportionally to the quality of the sites; c) the stratification in sites results in minimum variance within them; d) the stratification in sites resulted in until to 91% reduction of variances within them.
Pinus elliottii, Prodan's sampling method; stratification by sites; spatial variation
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= average; cv% = coefficient of variation;
= variance within clusters;
= variance between clusters;
= total variance of clusters;
= estimate of the intracluster correlation coefficient; n = number of clusters sampled; and M = number of Prodan's sampling points per cluster.
= standard error percentage; and
= estimate of the intracluster correlation coefficient.
Media
= variance between clusters;
= variance within clusters;
= total variance of clusters; F = variance ratios to test hypothesis of means;
= estimate of the intracluster correlation coefficient; N = number of clusters; and





















