Abstract
The floodplain forests of the Urals of the West Kazakhstan region are represented by plantations that are difficult to study the patterns of growth and development. Therefore, for this region, only tables have been developed to estimate the volume of tree trunks and categories of wood size, as well as tables to estimate the stock of closed stands depending on the average height. These normative reference materials are not enough to successfully solve the problems of forest management and forestry in the region. In the 12course of the research, a methodology was developed for developing models of growth and productivity of stands of forest-forming species growing in various groups of forest types. In accordance with the methodology, multidimensional linear growth models have been developed that reliably describe the patterns of change in the average height and average diameter of stands over the entire range of their variability at different ages. Predictors characterizing the names of tree species and groups offorest types encoded by dummy variables were included in the models. The combination of age with the names of forest-forming species, age with the names of groups of forest types allowed us to obtain statistical models of asynchronous growth with a high degree of reliability. At the final stage of modeling, three-level growth models of average heights and diameters were obtained, which made it possible to detail regression lines for one forest-forming breed growing in a separate group of forest types. An example of constructing a model for the growth of stands of black poplar growing in conditions of medium levels of the central floodplain is shown. The possibility of developing a regional classification of plantings according to the gradient of levels of average height at the base age of stands is shown.