The study considers the concept of stability of tree stands and their establishment at breeding facilities considering the dynamics of the intensity of using environmental conditions. The protective properties of the forest environment, which are identified with the preservation of genetic diversity, are determined by the amount and quality of natural renewal and are associated with environmental stability (renewability), can be effectively assessed by the loss of this stability according to the above method. The study analyses approaches and areas relevant for assessing the biotic and eco-resistance of tree stands. For breeding facilities, these issues are relevant when assigning reforestation measures in forest genetic reserves, assessing the stability of stands at the time of selection of positive plantings, and evaluating selected permanent forest seed plots from the standpoint of determining the volume of planting and care. The methodology for assessing stand stability is based on determining stability indicators (stability coefficient, loss of biotic stability, loss of ecological stability), which are calculated based on a parametric (taxonomic) assessment of trees, their sanitary condition, and natural regeneration in the area under study. Using the values of the given stability indicators, plantings can be divided into three categories: stable, conditionally stable, and unstable. Appropriate forestry measures are proposed that require a separate parametric assessment of forest-forming tree species, economic groups of forest types, forest categories, target measures, or research area. During studies of the living space tension indicator, it was found that the use of forest-growing conditions occurs according to the assessment of the process of development of stands as normal, non-stressed, and stressed. To establish the indicator of normal and weakened state, a basic scale for assessing biotic stability based on state indices is proposed
stability assessment, tension index, gene pool preservation, sanitary state, area dynamics