Comparative Models of Quercus spp. and Tilia spp. biomass for remote sensing in climatic gradients of Eurasia

Forest ecosystems play an important role in climate stabilization, and continuous monitoring of their biomass is of paramount importance. The airborne laser scanning technology has become widely used in assessing the biomass of trees by remotely registering the taxation indicators of trees. The author's database of harvest data of 397 and 138 sample trees of Quercus spp. and Tilia spp., respectively, growing on the territory of Eurasia is used in this work. The data contain values of tree height, crown width and length, as well as the biomass of trunk, foliage, branches and roots. For all components of aboveground biomass, a positive relationship with the crown width and the tree height was established. At a statistically reliable level, it was found that the biomass of components of equal-sized oak trees is 52-65 % higher than that of linden. In warm regions, as precipitation increases, aboveground biomass increases, but as one moves to cold regions, it is characterized by an opposite trend. As the temperature increases in humid regions, the biomass increases, but as the transition to dry conditions begins to decrease. The contribution of tree taxation indicators, species affiliation and climate variables to the explanation of the variability of the biomass components is 73.9, 7.7, and 18.4 %, respectively. The results obtained can be useful in laser monitoring of forest biomass and in predicting possible changes in the structure of tree biomass under climatic deviations.