Stem taper models for maritime pine plantations in Istanbul Sarıyer Region

Maritime pine (Pinus pinaster Ait.) is one of the most important tree species in Turkey for establish industrial plantations. In this study, stem taper models were developed for maritime pine plantations in İstanbul-Sarıyer region. For this aim, two commonly used and well-known taper models belongin...

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Main Authors: Utkun Karakuyu, Ramazan Ozçeli̇k
Format: Article
Language:English
Published: Isparta University of Applied Sciences Faculty of Forestry 2020-12-01
Series:Turkish Journal of Forestry
Subjects:
Online Access:https://dergipark.org.tr/tr/pub/tjf/issue/58858/786210?publisher=iubu
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spelling doaj-f14a9ab99c774804b2c35f0d4a900faa2021-01-11T08:35:16ZengIsparta University of Applied Sciences Faculty of ForestryTurkish Journal of Forestry2149-38982020-12-0121437338210.18182/tjf.7862101656Stem taper models for maritime pine plantations in Istanbul Sarıyer RegionUtkun KarakuyuRamazan Ozçeli̇kMaritime pine (Pinus pinaster Ait.) is one of the most important tree species in Turkey for establish industrial plantations. In this study, stem taper models were developed for maritime pine plantations in İstanbul-Sarıyer region. For this aim, two commonly used and well-known taper models belonging to different groups (segmented and variable-form) were evaluated. In this frame, totally 194 destructively sampled trees were used. The equations were fitted with ordinary nonlinear least squares method. We incorporated a second-order continuous-time autoregressive error structure (CAR(2)) to address of autocorrelation problem and used condition numbers to detect presence of multicollinearity. The predictive performance of the taper models was evaluated using five different evaluation criteria (R2, RMSE, AIC, BIC, and AAE). According to evaluation statistics, Fang et al. (2000) model provided better results than the Kozak (2004) model for height at a specific diameter, merchantable volume and total volume predictions except for diameter at a specific height. However, there are no significant differences among both models in terms of prediction performance of the models. Therefore, it will be more reasonable for the decision maker to decide which model will be preferred in maritime pine plantations.https://dergipark.org.tr/tr/pub/tjf/issue/58858/786210?publisher=iubuçapotokorelasyongövde formuparçalı modeldiameterautocorrelationstem formsegmented modelvolume estimationhacim tahmini
collection DOAJ
language English
format Article
sources DOAJ
author Utkun Karakuyu
Ramazan Ozçeli̇k
spellingShingle Utkun Karakuyu
Ramazan Ozçeli̇k
Stem taper models for maritime pine plantations in Istanbul Sarıyer Region
Turkish Journal of Forestry
çap
otokorelasyon
gövde formu
parçalı model
diameter
autocorrelation
stem form
segmented model
volume estimation
hacim tahmini
author_facet Utkun Karakuyu
Ramazan Ozçeli̇k
author_sort Utkun Karakuyu
title Stem taper models for maritime pine plantations in Istanbul Sarıyer Region
title_short Stem taper models for maritime pine plantations in Istanbul Sarıyer Region
title_full Stem taper models for maritime pine plantations in Istanbul Sarıyer Region
title_fullStr Stem taper models for maritime pine plantations in Istanbul Sarıyer Region
title_full_unstemmed Stem taper models for maritime pine plantations in Istanbul Sarıyer Region
title_sort stem taper models for maritime pine plantations in istanbul sarıyer region
publisher Isparta University of Applied Sciences Faculty of Forestry
series Turkish Journal of Forestry
issn 2149-3898
publishDate 2020-12-01
description Maritime pine (Pinus pinaster Ait.) is one of the most important tree species in Turkey for establish industrial plantations. In this study, stem taper models were developed for maritime pine plantations in İstanbul-Sarıyer region. For this aim, two commonly used and well-known taper models belonging to different groups (segmented and variable-form) were evaluated. In this frame, totally 194 destructively sampled trees were used. The equations were fitted with ordinary nonlinear least squares method. We incorporated a second-order continuous-time autoregressive error structure (CAR(2)) to address of autocorrelation problem and used condition numbers to detect presence of multicollinearity. The predictive performance of the taper models was evaluated using five different evaluation criteria (R2, RMSE, AIC, BIC, and AAE). According to evaluation statistics, Fang et al. (2000) model provided better results than the Kozak (2004) model for height at a specific diameter, merchantable volume and total volume predictions except for diameter at a specific height. However, there are no significant differences among both models in terms of prediction performance of the models. Therefore, it will be more reasonable for the decision maker to decide which model will be preferred in maritime pine plantations.
topic çap
otokorelasyon
gövde formu
parçalı model
diameter
autocorrelation
stem form
segmented model
volume estimation
hacim tahmini
url https://dergipark.org.tr/tr/pub/tjf/issue/58858/786210?publisher=iubu
work_keys_str_mv AT utkunkarakuyu stemtapermodelsformaritimepineplantationsinistanbulsarıyerregion
AT ramazanozcelik stemtapermodelsformaritimepineplantationsinistanbulsarıyerregion
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