Modelling of tree diameter distribution using Johnson's S sub(B) distribution
2002
Merenaekk, M. (Estonian Agricultural University, Tartu (Estonia). Department of Forest Management)
The suitability of Johnson's S sub(B) distribution for approximating tree diameter distribution was tested using sample plot yield data from 436 stands. The parameters of Johnson's S sub(B) distribution were estimated using six different methods (the four percentile method, Knoebel-Burkhart's method, the moments method, the maximum likelihood method,, the linear regression method and the non-linear regression method). The best and most stable results for diameter distribution approximation were obtained from the non-linear regression method. Based on the study, a linear model for estimating diameter distribution parameters was developed, in which the moments was used, as the said method proved better than the nonlinear regression method in finding Johnson's sub(B) distribution parameters by stand survey criteria. Dominant tree species, H100, stand density, number of trees, survey diameter and thinning variable HR (HR= 1 - the stand has been thinned; HR= 0 - the stand has not been thinned) were found to be statistically significant survey criteria
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