Diurnal surface fuel moisture prediction model for Calabrian pine stands in Turkey
Yazarlar (7)
Prof. Dr. Ertuğrul Bilgili Karadeniz Teknik Üniversitesi, Türkiye
Doç. Dr. Kadir Alperen Coşkuner Karadeniz Teknik Üniversitesi, Türkiye
Yetkin Usta
Karadeniz Teknik Üniversitesi, Türkiye
Karadeniz Teknik Üniversitesi, Türkiye
Prof. Dr. Bülent Sağlam Artvin Çoruh Üniversitesi, Türkiye
Prof. Dr. Ömer KÜÇÜK Kastamonu Üniversitesi, Türkiye
Dr. Öğr. Üyesi Tolga Berber Karadeniz Teknik Üniversitesi, Türkiye
Dr. Öğr. Üyesi Merih Göltaş İstanbul Üniversitesi-Cerrahpaşa, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Iforest (Q2) | ||
| Dergi ISSN | 1971-7458 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 05-2019 |
| Cilt / Sayı / Sayfa | 12 / 3 / 262–271 | DOI | 10.3832/ifor2870-012 |
| Makale Linki | https://iforest.sisef.org/abstract/?id=ifor2870-012 | ||
| UAK Araştırma Alanları |
Orman Entomolojisi ve Koruma
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| Özet |
| This study presents a dynamic model for the prediction of diurnal changes in the moisture content of dead surface fuels in normally stocked Calabrian pine stands under varying weather conditions. The model was developed based on several empirical relationships between moisture contents of dead surface fuels and weather variables, and calibrated using field data collected from three Calabrian stands from three different regions of Turkey (Mugla, southwest; Antalya, south; Trabzon, north-east). The model was tested and validated with independent measurements of fuel moisture from two sets of field observations made during dry and rainy periods. Model predictions showed a mean absolute error (MAE) of 1.19% for litter and 0.90% for duff at Mugla, and 3.62% for litter and 14.38% for duff at Antalya. When two rainy periods were excluded from the analysis at Antalya site, the MAE decreased from 14.38% to 4.29% and R 2 increased from 0.25 to 0.83 for duff fuels. Graphical inspection and statistical validation of the model indicated that the diurnal litter and duff moisture dynamics could be predicted reasonably. The model can easily be adapted for other similar fuel types in the Mediterranean region. |
| Anahtar Kelimeler |
| Drying rate | Fuel moisture content | Modeling | Vapor pressure deficit |
| Atıf Sayıları | |
| Web of Science | 24 |
| Scopus | 23 |
| Google Scholar | 21 |