نمذجة الكتلة الحيوية الخشبية لماكي السنديان العادي Quercus calliprinos Webb على السفح الشرقي للجبال الساحلية في سورية

Abstract EN

The woody biomass has been receiving considerable attention during the last decade, because of its association with energy, carbon stock and climate changes.

The accurate estimation of the woody biomass is a pre-requisite for the evaluation of forest management and its compatibility with the concept of sustainability.

The aim of this research to prepare allometric equations to estimate the woody biomass in the oak Maquis forests )Quercus calliprinos Webb.( by conducting simple measurement of parameters on selected shoots.

This estimation constitutes the first step in the sustainable management of this type of forests.

The study was carried out during 2014 in the eastern versant of the Syrian coastal mountains.

45 shoots from different stumps covering all sizes ranges, spread overall the study area, were selected.

The sampled shoots represented various diameters, altitudes, densities and soil fertility.

30 shoots were used for model construction and 15 shoots for model validation.Diameters of each shoot )at 30 cm height - D0.3( and its height )H( were measured then cutted from soil surface to determine the fresh weight of each shoot and the dry matter content; samples of different parts of the shoots were dried in an oven operated at a temperature of 105 °c until they reached a constant weight.

Different forms of non-linear regression equations were tested to estimate the aboveground dry biomass using diameter )D0.3( and/or height )H( as predictor variables, but only 17 equations having R2 or R2adj values above 0.90 were pre-selected.

The models constants were calculated in Excel using the Solver.

The best equation had an exponential relation and used )D0.3(, and )H( as predictor variables, with R2adj= 0.967.

The relative Bias, the relative Precision, and the Accuracy of this model were 3.44 %, 12.5% and 12.96%, respectively.The identified equation is of great importance for the design and implementation of sustainable forest management plans in the studied area and for carbon stocks estimation at the national level.