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Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

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A yield prediction model for Crimean pine plantations.

Mehmet Misir¹, Nuray Misir

¹Faculty of Forestry, Karadeniz Technical University, 61080 Trabzon, Turkey.

Pakistan Journal of Biological Sciences : PJBS

|December 17, 2008

Summary

This study presents a growth and yield model for Crimean pine (Pinus nigra subsp. pallasiana) plantations in Turkey. The model, based on age and site index, provides yield tables and determines optimal harvest rotations for different site classes.

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Area of Science:

Forestry
Silviculture
Quantitative Ecology

Background:

Crimean pine (Pinus nigra subsp. pallasiana) is a vital plantation and natural species in Turkey.
Existing data on Crimean pine growth and yield is insufficient for effective forest management.

Purpose of the Study:

To develop a growth and yield model for Crimean pine plantations.
To provide site index curves and empirical yield tables for this species.
To determine biologically optimum harvest rotations based on site productivity.

Main Methods:

Data collected from 115 temporary sample plots (ages 3-50 years).
Developed site index curves to classify plantations into productivity classes (I, II, III).
Created empirical yield tables and yield functions based on age and site index.

Main Results:

Site index curves classified plantations into three productivity classes.
Yield functions indicate optimal rotations of 35, 36, and 37 years for site classes I, II, and III, respectively.
The developed model can be calibrated with permanent plot data for enhanced accuracy.

Conclusions:

The study provides essential tools for managing Crimean pine plantations.
Optimized rotation ages can improve timber production efficiency.
The model offers a foundation for future research and sustainable forest management practices.