Regression equations were developed to estimate shrub fuel biomass of a maquis formation in western Turkey. The relationships between some shrub characteristics and live, dead, available (for consumption), and total fuel biomass were determined by simple/multiple linear regression | Turk J Agric For 32 (2008) 349-356 © TÜB‹TAK Estimating Fuel Biomass of Some Shrub Species (Maquis) in Turkey Bülent SA⁄LAM1,*, Ömer KÜÇÜK2, Ertu¤rul B‹LG‹L‹3, Bahar D‹NÇ DURMAZ3, ‹smail BAYSAL3 1 Artvin Çoruh University, Faculty of Forestry, 08000 Artvin - TURKEY 2Kastamonu 3Karadeniz University, Faculty of Forestry, 37200 Kastamonu - TURKEY Technical University, Faculty of Forestry, 61080 Trabzon - TURKEY Received: Abstract: Regression equations were developed to estimate shrub fuel biomass of a maquis formation in western Turkey. The relationships between some shrub characteristics and live, dead, available (for consumption), and total fuel biomass were determined by simple/multiple linear regression. Measured biomass values for live, available, and total fuels varied from to kg m-2, from to kg m-2, and from to kg m-2, respectively. The results obtained indicated that shrub fuel biomass could be satisfactorily predicted using the regression equations generated. The resulting equations were able to account for 60% to 89% of the observed variation (P < ) in the fuel biomass categories studied. The results of this study should be invaluable in many forestry disciplines, including ecology, protection, and management. Key Words: Fuel biomass, regression equations, shrubland, maquis, Turkey Türkiye’de Baz› Çal› Türleri (Maki) ‹çin Yan›c› Madde Kütlesi Tahmini Özet: Türkiye’nin bat› bölgelerindeki baz› maki türlerinde yan›c› madde miktar›n› tahmin etmek için regresyon eflitlikleri gelifltirilmifltir. Baz› maki özellikleri ile toplam canl›, ölü, tüketilebilir ve toplam yan›c› madde biyokütlesi aras›ndaki iliflkiler basit/çoklu do¤rusal regresyonlarla belirlenmifltir. Toplam canl›, toplam tüketilebilir ve genel toplam yan›c› madde biyokütlesi s›ras›yla kg m-2, kg m-2 ve kg m-2 aras›nda de¤iflmifltir. Sonuçlar, maki biyokütlesinin regresyon eflitlikleri ile do¤ru bir flekilde tahmin edilebilece¤ini
