PREDICTING CANOPY FUEL CHARACTERISTICS IN Pinus brutia Ten., Pinus nigra Arnold AND Pinus pinaster Ait. FORESTS FROM STAND VARIABLES IN NORTH-WESTERN TURKEY
Yazarlar (5)
Prof. Dr. Ömer KÜÇÜK Kastamonu Üniversitesi, Türkiye
Dr. Öğr. Üyesi Merih Göltaş Istanbul University-Cerrahpasa, Türkiye
Dr. Öğr. Üyesi Tufan Demirel Istanbul University-Cerrahpasa, Türkiye
Ioannis Mitsopoulos Ministry Of Environment Greece, Yunanistan
Prof. Dr. Ertuğrul Bilgili Karadeniz Teknik Üniversitesi, Türkiye
Makale Türü Açık Erişim Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Environmental Engineering and Management Journal (Q4)
Dergi ISSN 1582-9596 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili İngilizce Basım Tarihi 02-2021
Cilt / Sayı / Sayfa 20 / 2 / 309–318 DOI 10.30638/eemj.2021.031
Makale Linki http://www.eemj.icpm.tuiasi.ro/pdfs/vol20/no2/15_20_Kucuk_20.pdf
Özet
Canopy fuel characteristics play an important role in crown fire behaviour in conifer forests. In this study, the canopy fuel characteristics of Calabrian pine, Anatolian Black pine and Maritime pine stands in Turkey are estimated using forest stand parameters. Sets of equations are fitted to the measured data revealing correlations between canopy fuel characteristics and stand parameters by performing a stepwise multiple regression analysis. At the stand level, the resulting models explain a high percentage of the observed variability. The developed equations can be used by forest and fire managers to estimate canopy fuel characteristics, predict crown-fire behaviour and design fuel treatment projects in Turkey.
Anahtar Kelimeler
Forest fires | Fuel characteristics | Regression models | Stand variables