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Relation of Soil and Topographic Characteristics to Site Quality for Southern Pines in the Florida Parishes of Louisiana

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By regression analyses, certain soil and topographic features were found to be significantly related to the site index of loblolly, longleaf, and slash pines in southeastern Louisiana. Depth to the least permeable layer in the soil profile, percent sand in the subsoil, and the pH of the subsoil were related to the site index of loblolly pine. Site index of slash pine was related to depth to the least permeable layer, percent sand in the topsoil and in the subsoil, and degree of internal drainage. Longleaf site index was related to the sand content of the subsoil, the slope, and the degree of surface drainage. For each species, the regression equation which involves these variables is recommended for use in estimating the site index of the given pine species on sites for which no soil survey maps are available. The field guide based on soil series and mapping units is recommended for determining the site index when a soil survey map is available.
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Document Type: Journal Article

Affiliations: Assistant Professor of Forestry, School of Forestry and Wildlife Management, Louisiana Agric. Expt. Sta., Baton Rouge

Publication date: 1963-06-01

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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.

    2016 Impact Factor: 1.675 (Rank 20/64 in forestry)

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    June 1, 2016 to Feb. 28, 2017

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