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Quantitative Evaluation of Site Potential for Spruce and Fir in Newfoundland

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This paper examines relationships between site index of black spruce and balsam fir and soil and topographic characteristics in two areas of Newfoundland. One hundred three quantitative variables were examined on 300 sample plots by multiple regression and principal component analysis. Equations, accounting for at least 60 percent of observed variation, were derived for predicting site index from soil and topographic characteristics. Soil moisture was most important, with soil nutrient status being of less, and topography of least, importance. Principal component analysis did not exceed multiple regression analysis in predictive ability, but was valuable in aiding biological interpretation of regression. Forest Sci. 22:131-143.
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Keywords: Abies balsamea; Picea mariana; Soil; multiple regression; principal component analysis; topography

Document Type: Journal Article

Affiliations: Program Manager, Maritimes Forest Research Centre, Fredericton, N.B.

Publication date: 1976-06-01

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.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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