Modeling - Calibration

Research Issue

Empirical calibration of a process-based model of tree growth.

Our Research

We have formulated a process-based model of a tree that predicts time-streams of tree diameter, height, crown ratio, and volume.  The tree model is intended for use in spatial forest models that predict time-streams of production, growth, and carbon sequestration. At the present time we are investigating ways to calibrate the tree model and characterize variation among trees.

Expected Outcomes

• Calibration procedures for the tree model.
• Incorporation of the tree model into forest forecasting models.
• New theory for modeling forest production.

 

Research Results

Valentine HT and A Mäkelä. 2005. Bridging process-based and empirical approaches to modeling tree growth.  Tree Physiology 25:769--779.

Research Participants

Principal Investigator

• H.T. Valentine, US Forest Service- Northern Research Station Research Forester
• Mark J. Ducey, University of New Hampshire, Durham, NH

Research Partners

• Annikki Mäkelä, University of Helsinki, Helsinki, Finland
• Edwin J. Green, Rutgers University, New Brunswick, NJ
• Guy Pinjuv, Consultant, Portland, OR
• Ian Cameron, Consultant, Kamloops, BC