Southern Research Station

Title: Quantifying Forest Soil Physical Variables Potentially Important for Site Growth Analyses

Author: Kush, John S.; Pitt, Douglas G.; Craul, Phillip J.; Boyer, William D.

Date: 2004

Source: South. J. Appl. For. 28(1):5-l1.

Description: Accurate 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.

Keywords: Longleaf pine, forest soils, soil variability, soil sampling

View and Print this Publication (254 KB)

Pristine Version:  An uncaptured or "pristine" version of this publication is available. It has not been subjected to OCR (Optical Character Recognition) and therefore does not have any errors in the text. However it is a larger file size and some people may experience long download times. The "pristine" version of this publication is available here:

View and Print the PRISTINE copy of this Publication (1.0 MB)

Publication Notes: 

• 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.

 Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility

Citation

Kush, 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.