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    Author(s): Robert E. Buckman; Badege Bishaw; T.J. Hanson; Frank A. Benford
    Date: 2006
    Source: Gen. Tech. Rep. NC-271. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Research Station. 114 p.
    Publication Series: General Technical Report (GTR)
    Station: North Central Research Station
    PDF: View PDF  (1.95 MB)

    Description

    This review examines the entire portfolio of active and inactive red pine growth and yield studies maintained by the USDA Forest Service, North Central Research Station and several of its cooperators. The oldest studies date back to the mid-1920s. Available for analysis are 31 experiments and sets of monitoring plots in both planted and natural forests. These contain 3,671 individual growth estimates, 10 times more than previously available. From this dataset is an analysis of stand and tree growth responses and mortality in relation to age, site index, stand density, thinning methods, and other silvicultural factors. A growth and yield model (RP2005) provides a computer-based means to estimate growth and yield and to weigh the consequences of various silvicultural and financial alternatives through time. The analysis then examines the reliability of the prediction model, including comparisons with independent data sets. Appendices describe the database, provide an introduction to RP2005, present the mathematical relationships underlying the model, and define terms.

    Publication Notes

    • Check the Northern Research Station web site to request a printed copy of this publication.
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    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

    Citation

    Buckman, Robert E.; Bishaw, Badege; Hanson, T.J.; Benford, Frank A. 2006. Growth and yield of red pine in the Lake States. Gen. Tech. Rep. NC-271. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Research Station. 114 p.

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    Keywords

    Red pine (Pinus resinosa Ait.), Lake States, growth and yield, thinning, thinning methods, spatial characteristics, crown class responses

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