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Relative Accuracy of a New Base-Age Invariant Site Index Model

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A new base-age invariant site index model was developed based on the constrained version of the Chapman-Richards function. It was compared with that of Goelz and Burk's (1992) in terms of relative accuracy and average bias across a range of potential base ages. The data format for fitting the above models was also simplified. Comparing the models on a set of white spruce (Picea glauca [Moench] Voss) stem analysis data indicated that the choice of predictor age influences the models' accuracy and bias. Except for very young ages, the new model performed as well as that Goelz and Burk's (1992) model in relative accuracy. For. Sci. 40(2):341-348.
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Keywords: Biological growth function; average bias; root mean squared errors; the Chapman-Richards growth function

Document Type: Journal Article

Affiliations: Natural Resources Canada, Ontario Region, 1219 Queen Street East, Sault Ste. Marie, Ontario, Canada P6A 5M7

Publication date: 1994-05-01

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  • 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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