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Diameter Growth Models for Inventory ApplicationsAuthor(s): Ronald E. McRoberts; Christopher W. Woodall; Veronica C. Lessard; Margaret R. Holdaway
Source: In: Crookston, Nicholas L.; Havis, Robert N., comps. Second Forest Vegetation Simulator Conference; 2002 February 12-14; Fort Collins, CO. Proc. RMRS-P-25. Ogden, UT: US Department of Agriculture, Forest Service, Rocky Mountain Research Station: 158-163
Publication Series: Scientific Journal (JRNL)
Station: North Central Research Station
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DescriptionDistant-independent, individual-tree, diametar growth models were constructed to update information for forest inventory plots measured in previous years. The models are nonlinear in the parameters and were calibrated weighted nonlinear least squares techniques and forest inventory plot data. Analyses of residuals indicated that model predictions compare favorably to another regional diameter growth model and may be considered unbiased for their intended application. In addition, the models provide for estimation of model prediction uncertainties and may be easily recalibrated, The final model calibrations were by species within each of three ecological provinces in the North Central United States.
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CitationMcRoberts, Ronald E.; Woodall, Christopher W.; Lessard, Veronica C.; Holdaway, Margaret R. 2002. Diameter Growth Models for Inventory Applications. In: Crookston, Nicholas L.; Havis, Robert N., comps. Second Forest Vegetation Simulator Conference; 2002 February 12-14; Fort Collins, CO. Proc. RMRS-P-25. Ogden, UT: US Department of Agriculture, Forest Service, Rocky Mountain Research Station: 158-163
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