Updated biomass models of 19 Eurasian wood species and genera intended for airborne LiDAR sensing
The ability of forests to remove carbon from the atmosphere and produce organic matter is the basis of their functioning. In recent years, technologies for assessing the carbon-depositing function of forest cover have been actively improved in the world, of which one of the most promising is the technology of airborne laser sensing. The prospects of this technology are due to the high complexity of the morphological structure of stands, the presence of a multi-tiered canopy, the differentiation of foliage according to its profile, the chaotic architectonics of the crown and the difficult-to-grasp mosaic of the understory, which makes it difficult or impossible to use traditional methods of ground taxation. The purpose of this study is to develop updated allometric models of biomass of forest-forming species (genera) of Eurasia in connection with the new opportunity that has opened up due to the doubled volume of initial data for modeling. Allometric models have been developed for 19 species (genera) of Eurasia, designed to assess the biomass of trees by tree height and crown width - indicators that can be easily measured by airborne laser sensing. All regression coefficients of the proposed models are reliable at levels from p < 0.05 to p < 0.001. The contributions of tree height and crown width to explain the variability of different components of biomass are shown. The ranking of tree species (genera) according to the value of the components of the biomass of equal-sized trees was carried out.