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Abstract
As the Forest Service moves towards annual inventories, states may use model predictions of growth to update unmeasured plots. A tree growth model (AFIS) based on the scaled Weibull function and using the average-adjusted model form is presented. Annual diameter growth for four species was modeled using undisturbed plots from Minnesota's Aspen-Birch and Northern Pine Inventory Units. On the validation database, the AFIS model showed increased precision over the recalibrated STEMS model by 5 percent for diameter predictions and 8 percent for stand basal area predictions. The average adjusted model form has a number of desirable features.
Parent Publication
Citation
Holdaway, Margaret R. 2000. The AFIS tree growth model for updating annual forest inventories in Minnesota. In: Hansen, Mark; Burk, Tom, eds. Integrated tools for natural resources inventories in the 21st century. Gen. Tech. Rep. NC-212. St. Paul, MN: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station. 507-514.