Development of tree volume equations for natural brutian pine (Pinus brutia Ten.) stands in Kaş District

Brutian pine (Pinus brutia Ten.) forests are economically and ecologically one of the most important forests in Turkey. The one of the essential building blocks in forest growth and yield prediction models is the equations for estimating individual tree volume. Individual tree volume estimations can...

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Main Authors: Ramazan ÖZÇELİK, Şerife KALKANLI
Format: Article
Language:English
Published: Isparta University of Applied Sciences Faculty of Forestry 2018-03-01
Series:Turkish Journal of Forestry
Subjects:
boy
Online Access:https://dergipark.org.tr/tr/pub/tjf/issue/36370/392783?publisher=iubu
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spelling doaj-f56dd2dd949e4d4ca650ed88b3f75dbf2020-11-25T01:41:09ZengIsparta University of Applied Sciences Faculty of ForestryTurkish Journal of Forestry2149-38982018-03-0119191910.18182/tjf.3927831656Development of tree volume equations for natural brutian pine (Pinus brutia Ten.) stands in Kaş DistrictRamazan ÖZÇELİKŞerife KALKANLIBrutian pine (Pinus brutia Ten.) forests are economically and ecologically one of the most important forests in Turkey. The one of the essential building blocks in forest growth and yield prediction models is the equations for estimating individual tree volume. Individual tree volume estimations can be used to tree and stand volume estimations and to any merchantable limit of this volume, forest management plans arrangement, to projections of forest products industries, and to estimations of biomass and carbon budgets. In this study, tree volume equations were developed for brutian pine stands in Kaş Region. In this study, 517 sample trees destructively measured and then these trees are randomly divided into two groups as model development data and validation data. Nineteen regression models tested in this study. The tested models were compared using five performance criteria (average absolute residuals, root mean square error, coefficient of determination, maximum absolute error, and, Akaike Information criteria) for model development and validation dataset. Accordingly relative rank of models, while the best volume equation is Model 4, the worst equation is Model 3 for tree volume predictions. The results of Model 4 are compared with results of the other volume equations for model validation dataset. The proposed model performed better than the other models for volume estimations. The obtained results showed that, more accurate volume estimations can be obtained using model 4 for natural brutian pine stands of Kaş District.https://dergipark.org.tr/tr/pub/tjf/issue/36370/392783?publisher=iububrutian pinevolume equationdiameterheightrelative rankkızılçamhacim denklemigöğüs çapıboynisbi sıra
collection DOAJ
language English
format Article
sources DOAJ
author Ramazan ÖZÇELİK
Şerife KALKANLI
spellingShingle Ramazan ÖZÇELİK
Şerife KALKANLI
Development of tree volume equations for natural brutian pine (Pinus brutia Ten.) stands in Kaş District
Turkish Journal of Forestry
brutian pine
volume equation
diameter
height
relative rank
kızılçam
hacim denklemi
göğüs çapı
boy
nisbi sıra
author_facet Ramazan ÖZÇELİK
Şerife KALKANLI
author_sort Ramazan ÖZÇELİK
title Development of tree volume equations for natural brutian pine (Pinus brutia Ten.) stands in Kaş District
title_short Development of tree volume equations for natural brutian pine (Pinus brutia Ten.) stands in Kaş District
title_full Development of tree volume equations for natural brutian pine (Pinus brutia Ten.) stands in Kaş District
title_fullStr Development of tree volume equations for natural brutian pine (Pinus brutia Ten.) stands in Kaş District
title_full_unstemmed Development of tree volume equations for natural brutian pine (Pinus brutia Ten.) stands in Kaş District
title_sort development of tree volume equations for natural brutian pine (pinus brutia ten.) stands in kaş district
publisher Isparta University of Applied Sciences Faculty of Forestry
series Turkish Journal of Forestry
issn 2149-3898
publishDate 2018-03-01
description Brutian pine (Pinus brutia Ten.) forests are economically and ecologically one of the most important forests in Turkey. The one of the essential building blocks in forest growth and yield prediction models is the equations for estimating individual tree volume. Individual tree volume estimations can be used to tree and stand volume estimations and to any merchantable limit of this volume, forest management plans arrangement, to projections of forest products industries, and to estimations of biomass and carbon budgets. In this study, tree volume equations were developed for brutian pine stands in Kaş Region. In this study, 517 sample trees destructively measured and then these trees are randomly divided into two groups as model development data and validation data. Nineteen regression models tested in this study. The tested models were compared using five performance criteria (average absolute residuals, root mean square error, coefficient of determination, maximum absolute error, and, Akaike Information criteria) for model development and validation dataset. Accordingly relative rank of models, while the best volume equation is Model 4, the worst equation is Model 3 for tree volume predictions. The results of Model 4 are compared with results of the other volume equations for model validation dataset. The proposed model performed better than the other models for volume estimations. The obtained results showed that, more accurate volume estimations can be obtained using model 4 for natural brutian pine stands of Kaş District.
topic brutian pine
volume equation
diameter
height
relative rank
kızılçam
hacim denklemi
göğüs çapı
boy
nisbi sıra
url https://dergipark.org.tr/tr/pub/tjf/issue/36370/392783?publisher=iubu
work_keys_str_mv AT ramazanozcelik developmentoftreevolumeequationsfornaturalbrutianpinepinusbrutiatenstandsinkasdistrict
AT serifekalkanli developmentoftreevolumeequationsfornaturalbrutianpinepinusbrutiatenstandsinkasdistrict
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