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    Author(s): Michael T. ThompsonMaggie Toone
    Date: 2012
    Source: In: Morin, Randall S.; Liknes, Greg C., comps. Moving from status to trends: Forest Inventory and Analysis (FIA) symposium 2012; 2012 December 4-6; Baltimore, MD. Gen. Tech. Rep. NRS-P-105. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. [CD-ROM]: 334-337.
    Publication Series: Paper (invited, offered, keynote)
    Station: Northern Research Station
    PDF: Download Publication  (164.65 KB)

    Description

    Tree diameter growth models are widely used in many forestry applications, often to predict tree size at a future point in time. Also, there are instances where projections of past diameters are needed. An individual tree model has been developed to estimate diameter growth of multi-stem woodland tree species where the diameter is measured at root collar. The model was built from radial growth data on trees sampled from plots measured in Utah, Arizona, and Nevada. Individual tree growth can be predicted from the ratio of live woodland stems to all stems and from mean past 10-year radial growth of trees by ecological subsection, section, or province. Coefficients were estimated for four woodland tree species groups that cover most tree species in the Southern Interior West region.

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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

    Thompson, Michael T.; Toone, Maggie. 2012. Estimating root collar diameter growth for multi-stem western woodland tree species on remeasured forest inventory and analysis plots. In: Morin, Randall S.; Liknes, Greg C., comps. Moving from status to trends: Forest Inventory and Analysis (FIA) symposium 2012; 2012 December 4-6; Baltimore, MD. Gen. Tech. Rep. NRS-P-105. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. [CD-ROM]: 334-337.

    Keywords

    statistics, estimation, sampling, modeling, remote sensing, forest health, data integrity, environmental monitoring, cover estimation, international forest monitoring

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https://www.fs.usda.gov/treesearch/pubs/42772