@article {10.3844/ojbsci.2022.268.278, article_type = {journal}, title = {Poly-Species Phytocenoses for Ecosystem Restoration of Degraded Soil Covers}, author = {Nugmanov, Almabek B. and Mamikhin, Sergey V. and Valiev, Khusain Kh. and Bugubaeva, Aliya U. and Tokusheva, Asel S. and Tulkubaeva, Saniya A. and Bulaev, Aleksandr G.}, volume = {22}, number = {3}, year = {2022}, month = {Jul}, pages = {268-278}, doi = {10.3844/ojbsci.2022.268.278}, url = {https://thescipub.com/abstract/ojbsci.2022.268.278}, abstract = {Agroecological studies are based on the concept that, by understanding ecological processes, it is possible to manage agroecosystems for more sustainable production of more biomass and, thus, protection of natural resources. Many studies in the field of agroecology show that some farming methods can improve soil quality and restore agroecosystems by increasing plant biodiversity. Functional characteristics of plants for the assessment of ecosystem processes and services can be used for the sustainable management of agroecosystems. The paper discusses ways to restore pastures with low biological productivity in the arid steppe of Northern Kazakhstan (Kostanay region). Grass-and-legume mixtures were selected, according to the soil and climatic conditions of this region, to increase the productivity of pastures. The authors also describe the meteorological conditions in the region in question for 2021. The data of agrochemical analysis of the soil on which the grass mixture was grown differed slightly from the soils of other sites and often even was inferior to them in some indicators that affected plant productivity, namely, the humus, phosphorus, and potassium content. In the conditions of the experiment, the highest productivity was shown by the grass-and-legume mixture consisting of crested wheatgrass-alfalfa-awn less brome (27.8 c/ha of green mass and 12.6 c/ha of dry matter). Thus, according to the information obtained during the study, it can be concluded that to restore the productivity of pastures in Northern Kazakhstan, it is necessary to select the grass-and-legume mixtures that have the highest productivity and nutritional value and are adapted to the soil and climatic conditions of this region. The algorithm of the predictive simulation model of the dynamics of the graminoid community is also presented in a general form. Problems related to the remediation of soil covers are discussed.}, journal = {OnLine Journal of Biological Sciences}, publisher = {Science Publications} }