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Accurate mean plot values offorest soilfactors are requiredfor use as independent variables in site-growth analyses. Adequate accuracy is often difficult to attain because soils are inherently widely variable. Est imates o f the variabi l i ty o f appropriate soi l factors in f luencing growth can be used to determine the sampling intensi ty required to secure accurate mean plot values. A study was conducted to determine the plot means and variat ion o f bulk densi ty , tex ture , and gross mois ture weights wi thin plots associated wi th the longleafpine (Pinus palust r is Mill.)f orest type in south Alabama. Included in the s tudy were three difSerent so i l series (Troup, Nor$olk, and Esto), at each o f three topographic posi t ions ( lower, mid, and upper s lope) . Soi l texture was the most variable among the properties studied and gross moisture weights the least variable. Results provide a means o f es t imat ing fores t so i l sampl ing in tens i ty for use in s i te growth analyses . South. J. Appl. For. 28(1):5-l 1 .

Quantifying Forest Soil Physical Variables Potentially Important for Site Growth Analyses