global-local and fixed-random parameters to model dominant height growth of pinus pseudostrobus lindley'
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Dominant height and site index (SI) models consider average parameters for a sample or population. The dummy variable (DV) modeling approach generates global and local parameters, while mixed-effects models (MEM) generate fixed and random ones for each tree or plot. Objective: To fit and compare dynamic dominant height equations with the DV and MEM approaches for Pinus pseudostrobus Lindley in commercial forest plantations in Nuevo San Juan Parangaricutiro, Michoacan, Mexico. Materials and methods: Three algebraic difference approach (ADA) equations and one generalized algebraic difference approach (GADA) equation, based on the Chapman-Richards model, were fitted with the SI parameter
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