Quantifying Forest Soil Physical Variables Potentially Important for Site Growth Analyses
Abstract: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 longleaf pine (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. South. J. Appl. For. 28(1):5–11.
Keywords: Longleaf pine; environmental management; forest; forest management; forest resources; forest soils; forestry; forestry research; forestry science; natural resource management; natural resources; soil sampling; soil variability
Document Type: Regular Article
Affiliations: 1: School of Forestry and Wildlife Sciences Auburn University 108 M. White Smith Hall AL 36849 Phone: (334) 844-1065;, Fax: (334) 844-1084, Email: firstname.lastname@example.org 2: Canadian Forest Service 1219 Queen St. E. Sault Ste Marie ON Canada P6A 2E5 Phone: (705) 541-5610;, Fax: (705) 541-5700, Email: dpitt@NRCan.gc.ca 3: SUNY-College of Environmental Science and Forestry Syracuse NY and Senior Lecturer in Landscape Architecture (Retired) Graduate School of Design Harvard University 7199 Broadfield Road Manlius NY 13104-9504 4: (Retired) Southern Research Station USDA Forest Service 520 Devall Drive Auburn AL 36849
Publication date: 2004-02-01
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