Providing optimal protocol to increase financial revenue from the sale of one-year-old poplar trees (Populus deltoides) through modeling allometric equations

Planting the poplars is the prominent application to extend carbon pools as well as replacing for bioenergy and cellulose limitation. Ranking and evaluating of biomass production of saplings at the end of first growth is accordant with the next growing seasons. Therefore, this research modelled the different applicable allometric equations in order to increase the certainty of estimation of biomass of P. deltoides within Talookola nursery in Sari. The number of twenty five cuttings with 25 cm length was planted in 2011 within 1*1 m plots which had constant and same conditional site and experiment with three replications. The number of 4, 12 and 18 saplings randomly was selected from the three diameter classes (0-1, 1.1-2, 2.1-3 cm), respectively and after separating the roots and stem they were oven-dried at 85ºC for 48 hours to measure weight/wet weight ratio. Collar diameter and height were the variables for modelling allometric equations. The results showed that the logarithmic model related to above-ground biomass including collar diameter (D) and as well logarithmic models including product of diameter square and height (DBH2 × H) associated with below- and total ground biomass had the highest accuracy with the best goodness of fit data. Moreover, multivariate empirical models which did not have multicollinearity (VIF < 10) were presented, as such. However, they were not well fitted compared to aforementioned optimal models. The presented models can be considered as the applicable tools for estimation of biomass production and of carbon sequestration (in per year) of the studied species.