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Notes: Biomass Prediction Equations for Seedlings, Sprouts, and Saplings of Ten Central Hardwood Species

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Equations for predicting total aboveground dry weights from height (H) and/or basal diameter (D) were developed from leafless, open-grown seedlings and saplings. Separate linear regressions were fitted to predict biomass for Quercus alba L., Q. velutina Lam., Acer rubrum L., A. saccharum Marsh., Nyssa sylvatica Marsh., Prunus serotina Ehrh., Fraxinus americana L., Sassafras albidum (Nutt) Nees, Liriodendron tulipifera L., and Populus grandidentata Michx. The general model used was Log10Y = b0 + b1 Log10X, where Y denotes aboveground ovendry (700°C) weight of the plant, and X is either D²H or D² alone. In nearly all cases, equations for species having similar ovendry specific gravities were not significantly different and could be combined. Forest Sci. 30:523-527.

Keywords: Linear regression; dry weight

Document Type: Miscellaneous

Affiliations: Associate Professor of Forestry, Ohio Agricultural Research and Development Center, Wooster, Ohio 44691

Publication date: 1984-06-01

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.

    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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