Estimating and predicting bark thickness for seven conifer species in the Acadian Region of North America using a mixed-effects modeling approach: Comparison of model forms and subsampling strategies
Problem Addressed: Knowledge of bark thickness and the ability to predict it accurately
Goal(s)/Objective(s): Cevelop bark thickness prediction models for the major conifer species in the Acadian Region of North America
Key Findings: Cao and Pepper's (1986) equation performed significantly better than other equations for most of our study species
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- Li, Rongxia
School of Forest Resources, University of Maine
Rongxia.Li@umit.maine.edu - Weiskittel, Aaron R.
School of Forest Resources, University of Maine
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