English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In this study, 39 generalized height-diameter prediction models were developed for Oriental beech (Fagus orientalis Lipsky) in the Hyrcanian forest in Iran. Data were collected from 75 permanent sample plots in uneven-aged stands of F. orientalis. A total of 1,067 individual tree height-diameter measurements were available for this study. For model testing a 10-fold cross validation method was used. The goodness of fit of the models was evaluated using six statistical measures including Akaike information criteria, Bayesian information criterion, root mean square error (RMSE), mean error, R2 and Radj. Results showed that the R 2 ranged from 0.62 to 0.78 and RMSE from 3.3 to 4.7 in the validation phase. Considering all the performance criteria, a model which uses DBH, dominant height, basal area per hectare and number of trees per hectare was found to be the best model to predict the height of Oriental beech from these data.

Generalized height-diameter models for Fagus orientalis Lipsky in Hyrcanian forest, Iran