Development of the Optimum Individual Tree DBH-Growth Prediction Equations by Forest Types Using Competition Index

摘要

The study was conducted to develop the optimum individual tree dbh growth prediction equations by forest types and tree species. Foi this, the distance-independent competition index model was employed to identify competition relationships between single trees in stands, and this competition index was used as an independent variable in the growth prediction equation. I he values of coefficient of determination (R~2) for prediction equations did not show any significant difference by forest types and by species In terms of forest types, tire coefficient of determination of model IV as 0.95 was the highest, while Pinus koraiensis forest and Pinus densiflora forest in Kangwon Province and Pinm densiflora forest in the central Korea were the lowest as 088 Finally, three evaluation statistical figures such as Mean Deviation (MD), Standard Deviation of Differences (SDD) and Standard Error of Differences (SED) were tested The model IV was selected to the best model in Pinus demiflora forest in Kangwon Province, Pinus demiflora forest in the central Korea and Pinus koraiensis forest The model VI was selected as the best model for the Lariz leptolepis forest and mixed forest