Development of diameter distribution model for natural cedar stands in Antalya region using Johnson’s Sb Distribution

Taurus cedar (Cedrus libani A. Rich.) forests are economically and ecologically one of the most important forests in Turkey. In this context, knowing the state and limitations of growth and yield of Cedar forests is necessary and important for improving future management and planning strategies. Dia...

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Main Authors: Ramazan Özçelik, Burak Baş
Format: Article
Language:English
Published: Isparta University of Applied Sciences Faculty of Forestry 2022-03-01
Series:Turkish Journal of Forestry
Subjects:
Online Access:https://dergipark.org.tr/tr/download/article-file/2176774
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author Ramazan Özçelik
Burak Baş
author_facet Ramazan Özçelik
Burak Baş
author_sort Ramazan Özçelik
collection DOAJ
description Taurus cedar (Cedrus libani A. Rich.) forests are economically and ecologically one of the most important forests in Turkey. In this context, knowing the state and limitations of growth and yield of Cedar forests is necessary and important for improving future management and planning strategies. Diameter distribution models are provide information for data about horizontal stand structure and each diameter class: number of trees, basal area, and volume per unit area. These predictions is used to predict volume yield and to forecast the range of products. In this study, diameter distribution models were developed for natural cedar stands in Antalya Region. Many different probability density functions such as log-normal, exponential, gamma, beta, Weibull, and Johnson’s SB have been used to describe diameter distributions. Johnson’s SB function are among the most commonly used in forest research because of their flexibility in mimicking the emprical distributions. In this study, Johnson’s SB distribution was used for modeling diameter disrtributions of natural cedar stands. For this aim, 109 sample plots measured from natural distribution areas of natural cedar stands. The obtained results from observed and predicted diameter distributions of sample plots were compared using Error index and Kolmogorov-Smirnov Test. The results show good performance of three-parameter recovery method. The major advantage of 3-parameter recovery method relies on the reduced level of input information required.
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spelling doaj.art-ffd87c4af40d42a2aef4c4f55a8f7d852023-02-15T16:09:07ZengIsparta University of Applied Sciences Faculty of ForestryTurkish Journal of Forestry2149-38982022-03-01231212910.18182/tjf.10538701656Development of diameter distribution model for natural cedar stands in Antalya region using Johnson’s Sb DistributionRamazan Özçelik0Burak Baş1Isparta University of Applied Sciences, Faculty of ForestrySÜLEYMAN DEMİREL ÜNİVERSİTESİ, FEN BİLİMLERİ ENSTİTÜSÜTaurus cedar (Cedrus libani A. Rich.) forests are economically and ecologically one of the most important forests in Turkey. In this context, knowing the state and limitations of growth and yield of Cedar forests is necessary and important for improving future management and planning strategies. Diameter distribution models are provide information for data about horizontal stand structure and each diameter class: number of trees, basal area, and volume per unit area. These predictions is used to predict volume yield and to forecast the range of products. In this study, diameter distribution models were developed for natural cedar stands in Antalya Region. Many different probability density functions such as log-normal, exponential, gamma, beta, Weibull, and Johnson’s SB have been used to describe diameter distributions. Johnson’s SB function are among the most commonly used in forest research because of their flexibility in mimicking the emprical distributions. In this study, Johnson’s SB distribution was used for modeling diameter disrtributions of natural cedar stands. For this aim, 109 sample plots measured from natural distribution areas of natural cedar stands. The obtained results from observed and predicted diameter distributions of sample plots were compared using Error index and Kolmogorov-Smirnov Test. The results show good performance of three-parameter recovery method. The major advantage of 3-parameter recovery method relies on the reduced level of input information required.https://dergipark.org.tr/tr/download/article-file/2176774sedirçap dağılımıhata indeksimeşcere yapısıcedardiameter distributionerror indexstand structure
spellingShingle Ramazan Özçelik
Burak Baş
Development of diameter distribution model for natural cedar stands in Antalya region using Johnson’s Sb Distribution
Turkish Journal of Forestry
sedir
çap dağılımı
hata indeksi
meşcere yapısı
cedar
diameter distribution
error index
stand structure
title Development of diameter distribution model for natural cedar stands in Antalya region using Johnson’s Sb Distribution
title_full Development of diameter distribution model for natural cedar stands in Antalya region using Johnson’s Sb Distribution
title_fullStr Development of diameter distribution model for natural cedar stands in Antalya region using Johnson’s Sb Distribution
title_full_unstemmed Development of diameter distribution model for natural cedar stands in Antalya region using Johnson’s Sb Distribution
title_short Development of diameter distribution model for natural cedar stands in Antalya region using Johnson’s Sb Distribution
title_sort development of diameter distribution model for natural cedar stands in antalya region using johnson s sb distribution
topic sedir
çap dağılımı
hata indeksi
meşcere yapısı
cedar
diameter distribution
error index
stand structure
url https://dergipark.org.tr/tr/download/article-file/2176774
work_keys_str_mv AT ramazanozcelik developmentofdiameterdistributionmodelfornaturalcedarstandsinantalyaregionusingjohnsonssbdistribution
AT burakbas developmentofdiameterdistributionmodelfornaturalcedarstandsinantalyaregionusingjohnsonssbdistribution