Modeling annualized occurrence, frequency, and composition of ingrowth using mixed-effects zeroinflated models and permanent plots in the Acadian Forest Region of North America
Problem Addressed: Modeling tree ingrowth utilizing random effects
Goal(s)/Objective(s): Find the best modeling approach for annualized ingrowth count data for mixed species and mixed cohort stands in the Acadian Forest Region.
Key Findings: Combining mixed effects modeling techniques with zero-inflated distributions resulted in significant improvement in modeling.
Recommendation: Results can be incorporated into any forest growth simulator for the Acadian Forest Region.
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