Stand and General Height-DBH Curve Models for Pinus densiflora in KangWon Province
Woo-Kyun Lee'

 

 

ABSTRACT : The study presents a number of individual tree height dbh curve models for Pinus densiflora in Kangwon province. The performance of the height dbh models fitted to 1600 height dbh data compiled from 102 sample plots using linear or nonlinear regression method, was compared in connection with several statistical test and growth principle of height. By stand level height-dbh curve model, in which individual tree height is estimated from the dbh of individual trees in a stand, there is no significant differences in stat;stical test such as R2. F test of ANOV A. root VMSE. but differences in the test of estimated parameters. Parameters estimated by Petterson, Kennel and Michailow functions were significant at low significance level. These 3 height- dbh curve models were also fitted in with general growth principle of height and were considered to be better suitable height dbh curve models for a stand. Among the general height dbh curve models, which express individual tree height as a
function of dbh of individual tree, stand mean height and stand dominant height. modified Petterson and modified Michailow function showed best performance in statistical test and coincidence with growth principle of height.
Added crown class as a mdependent variable in modified Petterson and modified Michailow function, the performance in statistical test was a little improved. Especially modified Petterson and modified Michailow function used quantified crown dass as a explanatory variables showed statistically best performance and also coincided wtlh general growth principlPs of height. These 2 functions were evaluated to be best suited :nodels for a general height dbh curve model.

 

Key words: height dbh curve model, growth principle, quantified crown class modified Petterson function, modified Michailow function