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
Ministry Of Environment Greece, Yunanistan
Prof. Dr. Ertuğrul Bilgili Karadeniz Teknik Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Environmental Engineering and Management Journal (Q4) | ||
| Dergi ISSN | 1582-9596 Dergi Bilgileri (2021) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 02-2021 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 01-01-2021 |
| 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 | ||
| UAK Araştırma Alanları |
Orman Entomolojisi ve Koruma
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| 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 |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 6 |
| Scopus | 6 |
| Google Scholar | 5 |