TY - JOUR T1 - Predicting Canopy Gap Size Before Applying Single- or Group Selection Methods in the Hyrcanian Natural Mixed-Beech Forests (Case Study: Control Plot of Series 3 of Glandroud Forests) TT - پیش‌بینی مساحت روشنه‌های تاجی قبل از اجرای شیوه تک‌گزینی یا گروه‌گزینی در جنگل‌های طبیعی آمیخته راش شمال کشور (پژوهش موردی: قطعه شاهد سری 3 طرح جنگل‌داری گلندرود نور) JF - IJAE JO - IJAE VL - 9 IS - 4 UR - http://ijae.iut.ac.ir/article-1-1018-en.html Y1 - 2021 SP - 57 EP - 71 KW - Expanded gap KW - Predictive models KW - Natural disturbances KW - Trees marking N2 - During the marking operations planning in forest ecosystems, designing the canopy gap size (CGS) is not clearly possible and a marker can only be capable of calculating the expanded gap size (EGS) that will be created by cutting and felling trees. Therefore, the main goal of the current study was to provide a solution to this problem on the basis of accurate prediction for CGS, before applying selection methods, through developing regression models for predicting the CGS in Glandroud forests. On the basis of full inventory for measuring the area of canopy and expanded gaps using radial technique, calculating the species diversity indices and observations of physiographic units, the regression models were developed for estimating the CGS as the response in the research. The results showed that the site fraction occupied by expanded gaps has one hectare more than the fraction occupied by the canopy gaps. Furthermore, the results of correlation tests showed that the CGS had significant relationship with the Shannon diversity and species dominance indices. The results of analyses indicated that multiple linear regression log-transformed from the power function including EGS, correlated species diversity indices of gaps surrounding trees predicted the responses with statistically acceptable certainty and accuracy. M3 10.47176/ijae.9.4.3485 ER -