作者: Sima Shahabedini , Loghman Ghahramany , Fernando Pulido , Sheyda Khosravi , Gerardo Moreno
DOI: 10.1007/S00468-017-1614-7
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摘要: Multiple linear regression based on the crown diameter (the most explicative biometric variable for pollarded trees) and at breast height indices produced more parsimonious model with moderate accuracy to estimate leaf biomass used feed livestock in strongly seasonal silvopastures. The aim of this study is develop allometric equation Lebanon oak trees, a species as fodder tree western Iran. A stand (6.6 ha area including 560 was selected. Full callipering all trees (collar ≥5 cm) conducted: collar (DBH) stem, height, trunk diameters (CDs) were measured. At time pollarding, fresh weight leafy branches resulting from pollarding each Finally, dry entire determined. Biometric predictor variables estimating used. CD stem DBH model. results indicated that natural logarithmic transformation improved model’s goodness fit. proposed explained by scattered distribution strong modification canopy structure through periodical pollarding. Leaf evaluate impact nutrient cycling carbon sequestration forest.