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Prediction of Advance Regeneration in Mixed-Oak Stands of Pennsylvania

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Abstract:

The relationship of 20 soil-site and stand variables to abundance and importance value of advance regeneration was analyzed in 28 even-aged mixed-oak stands in south-central Pennsylvania. Relationships for abundance of (1) commercially important species, (2) all oak species, and (3) blueberry + sassafras were not strong enough to derive useful predictive equations. However, an equation was developed that explained 82 percent of the variation in importance value of advance regeneration of commercial species. The variables in this equation were stand age, stand basal area, percent silt, percent clay, N, P, Mg saturation, and depth of the A1 + A2 soil horizons. Another equation was developed that explained 87 percent of the variation in the importance value of blueberry + sassafras reproduction. The variables in this equation were stand age, stand basal area, oak site index, percent sand, and cation exchange capacity of the soil A1 + A2 horizon. Forest Sci. 18:278-282.

Keywords: Quercus; population estimates; site quality; stand density

Document Type: Journal Article

Affiliations: Professor of Silviculture, School of Forest Resources, Pennsylvania State University, University Park 16802

Publication date: December 1, 1972

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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