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Modeling diameter distributions in Önsen natural stone pine (Pinus pinea L.) stands    
Yazarlar (2)
Prof. Dr. Fatih SİVRİKAYA Prof. Dr. Fatih SİVRİKAYA
Kastamonu Üniversitesi, Türkiye
Ramazan Karakaş
Devamını Göster
Özet
In this study, parameters of Weibull function with three parameters were predicted for natural Stone Pine stands in Önsen town, which is in Kahramanmaraş Regional Directorate of Forestry Kahramanmaraş Directorate of State Forest Enterprise, Hartlap Forest Enterprise Chief. To model diameter distribution of natural Stone Pine, 30 sample plots were taken from field survey and six different methods were used for predicting parameters of Weibull function with three parameters. Error index values were applied for comparison of different parameter estimation methods. Percentile-Based method, which use 25%, 50% and 95% of diameter values together and have 2.967 average rank number, is the greatest successful function to define diameter distributions for Stone Pine based on error index values estimated by differences between actual diameter distribution and predicted diameter distribution in accordance …
Anahtar Kelimeler
Makale Türü Özgün Makale
Makale Alt Türü Ulusal alan endekslerinde (TR Dizin, ULAKBİM) yayınlanan tam makale
Dergi Adı Turkish Journal of Forestry Türkiye Ormancılık Dergisi
Dergi ISSN 2149-3898
Dergi Tarandığı Indeksler TR DİZİN
Makale Dili Türkçe
Basım Tarihi 12-2020
Cilt No 21
Sayı 4
Sayfalar 364 / 372
Doi Numarası 10.18182/tjf.756785
Makale Linki https://dergipark.org.tr/tr/pub/tjf/issue/58858/756785
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Google Scholar 4
Modeling diameter distributions in Önsen natural stone pine (Pinus pinea L.) stands

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