An Equation for Predicting Oak Site Index without Measuring Soil Depth
Abstract:A regression equation for predicting oak site index from measurements of aspect, slope position, and slope percent was developed on three sandstone and shale soil series for the mountain province in West Virginia and a part of Maryland. Based on data previously used to develop a predicting equation from the above three factors plus total soil depth, this new equation, without the use of soil depth, provides for almost as accurate prediction. The necessary data for prediction can be collected much more easily because laborious soil-depth observations are not required. The close relationship between soil depth and the two topographic factors, slope position and slope percent, permits the elimination of soil depth from the estimating equation.
Document Type: Journal Article
Affiliations: Research Forester, Northeastern Forest Expt. Sta., Forest Service, U. S. Dept. Agric., Elkins, W. Va.
Publication date: May 1, 1964
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- The Journal of Forestry is the most widely circulated scholarly forestry journal in the world. In print since 1902, the Journal has received several national awards for excellence. The mission of the Journal of Forestry is to advance the profession of forestry by keeping forest management professionals informed about significant developments and ideas in the many facets of forestry: economics, education and communication, entomology and pathology, fire, forest ecology, geospatial technologies, history, international forestry, measurements, policy, recreation, silviculture, social sciences, soils and hydrology, urban and community forestry, utilization and engineering, and wildlife management. The Journal is published bimonthly: January, March, May, July, September, and November.
2015 Impact Factor: 1.476
Ranking: 22 of 66 in forestry
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