<abstract xmlns="http://www.w3.org/1999/xhtml"><p>In parallel studies, different regression models were tested to identify relationships between particular dendrobiometrical indicators on two sample plots representing forests dominated by the European beech in the Central Balkan Range (Bulgaria). The presence of incomplete multicollinearity was studied through correlation matrix for factor variables. To avoid multicollinear negative impact, step multiple regression was applied and adequate regression equations of the relationships under consideration were formulated. The results of statistical analysis confirmed that the link between the investigated indicators is strong and that the ’cloud‘ data show some ’sphericity‘ and distribution close to normal. In one of the sample plots, one major volume-forming factor – height does not participate in the obtained regression equation, so it is not possible to estimate its influence. By testing linear and several nonlinear regression dependencies and by mediating widely used statistical criterions for model selection, the optimal linear model of the considered link was chosen.</p></abstract>

In parallel studies, different regression models were tested to identify relationships between particular dendrobiometrical indicators on two sample plots representing forests dominated by the European beech in the Central Balkan Range (Bulgaria). The presence of incomplete multicollinearity was studied through correlation matrix for factor variables. To avoid multicollinear negative impact, step multiple regression was applied and adequate regression equations of the relationships under consideration were formulated. The results of statistical analysis confirmed that the link between the investigated indicators is strong and that the ’cloud‘ data show some ’sphericity‘ and distribution close to normal. In one of the sample plots, one major volume-forming factor – height does not participate in the obtained regression equation, so it is not possible to estimate its influence. By testing linear and several nonlinear regression dependencies and by mediating widely used statistical criterions for model selection, the optimal linear model of the considered link was chosen.

Relationship between particular dendrobiometrical indicators of natural European beech (<italic>Fagus sylvatica</italic> L.) dendrocenoses in Central Balkan Range

Experimental Station on Coniferous Forests – Forest Research Institute, Bulgarian Academy of Sciences

Folia Oecologica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Relationship between particular dendrobiometrical indicators of natural European beech ( L.) dendrocenoses in Central Balkan Range

In parallel studies, different regression models were tested to identify relationships between particular dendrobiometrical indicators on two sample plots...

Relationship between particular dendrobiometrical indicators of natural European beech (Fagus sylvatica L.) dendrocenoses in Central Balkan Range

Pubblicato online: 10 feb 2018

Pagine: 69 - 77

Ricevuto: 05 giu 2017

Accettato: 30 nov 2017

DOI: https://doi.org/10.1515/foecol-2017-0009

Parole chiave
beech forests, height and length of tree crowns, mean diameter, stand parameters

© 2017 Angel Ferezliev, published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Relationship between particular dendrobiometrical indicators of natural European beech (Fagus sylvatica L.) dendrocenoses in Central Balkan Range

Pubblicato online: 10 feb 2018

Pagine: 69 - 77

Ricevuto: 05 giu 2017

Accettato: 30 nov 2017

DOI: https://doi.org/10.1515/foecol-2017-0009

Parole chiavebeech forests, height and length of tree crowns, mean diameter, stand parameters

© 2017 Angel Ferezliev, published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Parole chiave
beech forests, height and length of tree crowns, mean diameter, stand parameters