Skip to Main Content
Quantifying Forest Soil Physical Variables Potentially Important for Site Growth AnalysesAuthor(s): John S. Kush; Douglas G. Pitt; Phillip J. Craul; William D. Boyer
Source: South. J. Appl. For. 28(1):5-l1.
Publication Series: Miscellaneous Publication
PDF: Download Publication (254 KB)
DescriptionAccurate mean plot values of forest soil factors are required for use as independent variables in site-growth analyses. Adequate accuracy is often difficult to attain because soils are inherently widely variable. Estimates of the variability of appropriate soil factors influencing growth can be used to determine the sampling intensity required to secure accurate mean plot values. A study was conducted to determine the plot means and variation of bulk density, texture, and gross moisture weights within plots associated with the longleafpine (Pinus palustris Mill.) forest type in south Alabama. Included in the study were three different soil series (Troup, Norfolk, and Esto), at each of three topographic positions (lower, mid, and upper slope). Soil texture was the most variable among the properties studied and gross moisture weights the least variable. Results provide a means of estimating forest soil sampling intensity for use in site growth analyses.
- You may send email to firstname.lastname@example.org to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationKush, John S.; Pitt, Douglas G.; Craul, Phillip J.; Boyer, William D. 2004. Quantifying Forest Soil Physical Variables Potentially Important for Site Growth Analyses. South. J. Appl. For. 28(1):5-l1.
KeywordsLongleaf pine, forest soils, soil variability, soil sampling
- Assessing heterogeneity in soil nitrogen cycling: a plot-scale approach
- Sample sizes to control error estimates in determining soil bulk density in California forest soils
- Soil quality assessment in domesticated forests – a southern pine example
XML: View XML