Modeling of stem taper model with mixed effects approach for oriental spruce

Oriental spruce (Picea orientalis L.) is one of the most important tree species in Turkey. Therefore, the information is necessary about growth and yield of the species for developing future management and planning strategies. The one of the essential building blocks in forest growth and yield predi...

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Main Authors: Ramazan Özçelik, Ahmet Sarıtaş, Manuel Arias-Rodil
Format: Article
Language:English
Published: Isparta University of Applied Sciences Faculty of Forestry 2017-07-01
Series:Turkish Journal of Forestry
Subjects:
Online Access:https://dergipark.org.tr/tr/pub/tjf/issue/30743/302073?publisher=iubu
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author Ramazan Özçelik
Ahmet Sarıtaş
Manuel Arias-Rodil
author_facet Ramazan Özçelik
Ahmet Sarıtaş
Manuel Arias-Rodil
author_sort Ramazan Özçelik
collection DOAJ
description Oriental spruce (Picea orientalis L.) is one of the most important tree species in Turkey. Therefore, the information is necessary about growth and yield of the species for developing future management and planning strategies. The one of the essential building blocks in forest growth and yield prediction models is the equations for estimating individual tree volume. One of the most accurate and reliable approaches for estimating stem total volume and merchantable volume is the use of taper models. In this study, a taper model was developed by using nonlinear mixed effects modeling approach (NLME) using data from 170 trees felled in oriental spruce stands from Ardahan-Posof Region. An NLME approach accounted for within-and between tree variations in stem form. In the first stage, all possible combinations of expansion with random effects in one and two model parameters were tested, selecting then the best one. The inclusion of random effects was not enough to account for the existing autocorrelation between the residuals and then the variance-covariance matrix of the error term was modelled through a first order autocorrelation structure AR (1). In a second step, we evaluated the response obtained by calibration (which implies estimation of random effects for a new tree) based on upper-stem diameter measurements at different points. The selected mixed-effects model produced the best results both in fitting and calibration process. It was found that an upper-stem diameter measurement at 40-80% of total height was best suited for calibrating tree-specific predictions. As a result, model calibration should be considered an essential criterion in mixed model selection.
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spelling doaj.art-5ced7bacbf94446199f313c975b5f1c82023-02-15T16:12:39ZengIsparta University of Applied Sciences Faculty of ForestryTurkish Journal of Forestry2149-38982017-07-0118211011810.18182/tjf.3020731656Modeling of stem taper model with mixed effects approach for oriental spruceRamazan Özçelik0Ahmet Sarıtaş1Manuel Arias-Rodil2SÜLEYMAN DEMİREL ÜNİVERSİTESİ, ORMAN FAKÜLTESİSÜLEYMAN DEMİREL ÜNİVERSİTESİ, FEN BİLİMLERİ ENSTİTÜSÜ, ORMAN MÜHENDİSLİĞİ (DR)Unidad de Gestión Forestal Sostenible, Departamento de Ingeniería Agroforestal, Universidade de Santiago de CompostelaOriental spruce (Picea orientalis L.) is one of the most important tree species in Turkey. Therefore, the information is necessary about growth and yield of the species for developing future management and planning strategies. The one of the essential building blocks in forest growth and yield prediction models is the equations for estimating individual tree volume. One of the most accurate and reliable approaches for estimating stem total volume and merchantable volume is the use of taper models. In this study, a taper model was developed by using nonlinear mixed effects modeling approach (NLME) using data from 170 trees felled in oriental spruce stands from Ardahan-Posof Region. An NLME approach accounted for within-and between tree variations in stem form. In the first stage, all possible combinations of expansion with random effects in one and two model parameters were tested, selecting then the best one. The inclusion of random effects was not enough to account for the existing autocorrelation between the residuals and then the variance-covariance matrix of the error term was modelled through a first order autocorrelation structure AR (1). In a second step, we evaluated the response obtained by calibration (which implies estimation of random effects for a new tree) based on upper-stem diameter measurements at different points. The selected mixed-effects model produced the best results both in fitting and calibration process. It was found that an upper-stem diameter measurement at 40-80% of total height was best suited for calibrating tree-specific predictions. As a result, model calibration should be considered an essential criterion in mixed model selection.https://dergipark.org.tr/tr/pub/tjf/issue/30743/302073?publisher=iubupicea orientalisgövde çapı modeliotokorelasyonkalibrasyonardahan-posofpicea orientalistaper modelautocorrelationcalibrationardahan-posof
spellingShingle Ramazan Özçelik
Ahmet Sarıtaş
Manuel Arias-Rodil
Modeling of stem taper model with mixed effects approach for oriental spruce
Turkish Journal of Forestry
picea orientalis
gövde çapı modeli
otokorelasyon
kalibrasyon
ardahan-posof
picea orientalis
taper model
autocorrelation
calibration
ardahan-posof
title Modeling of stem taper model with mixed effects approach for oriental spruce
title_full Modeling of stem taper model with mixed effects approach for oriental spruce
title_fullStr Modeling of stem taper model with mixed effects approach for oriental spruce
title_full_unstemmed Modeling of stem taper model with mixed effects approach for oriental spruce
title_short Modeling of stem taper model with mixed effects approach for oriental spruce
title_sort modeling of stem taper model with mixed effects approach for oriental spruce
topic picea orientalis
gövde çapı modeli
otokorelasyon
kalibrasyon
ardahan-posof
picea orientalis
taper model
autocorrelation
calibration
ardahan-posof
url https://dergipark.org.tr/tr/pub/tjf/issue/30743/302073?publisher=iubu
work_keys_str_mv AT ramazanozcelik modelingofstemtapermodelwithmixedeffectsapproachfororientalspruce
AT ahmetsarıtas modelingofstemtapermodelwithmixedeffectsapproachfororientalspruce
AT manuelariasrodil modelingofstemtapermodelwithmixedeffectsapproachfororientalspruce