Forest ecosystems, in particular pine plantations, are currently experiencing a complex of negative factors that affect both the condition of plantations and their growth indicators. The purpose of the study was to determine the condition and productivity of suburban pine forests of Krasnoyarsk, as well as statistical regression assessment of carbon concentration in the growing, dying and dried part of the forest stands. The object of research is pine forests of natural origin of Karaulnoe area forestry of experimental forestry of M.F. Reshetnev Siberian State University, located in the suburban area of Krasnoyarsk. Evaluation of sanitary category of pine forests allowed to state mainly "weakened" their condition. Regression analysis ascertained a reliable one-coefficient linear relationship between the carbon of different parts of pine forests and the supply of trunk wood and the completeness of forest stands. In this case, when predicting the carbon of the deadwood part of the stand, it must be divided into two parts: caused by external influences (forest fires, the stage of obsolescence, phyto-pathological conditions) more than 20 tS*ha-1 and caused by natural fall-off to 20 tS*ha-1. As a result, it was found that in high-density, dense pine forests of the subtaiga forest-steppe region of Middle Siberia, the stability of pine forests is due to a complex of factors: age structure (when the active phase of growth in plantations is terminated, indicators of vitality decrease); completeness (high density worsens the condition of trees); stock (growth of the number of trunk wood per unit area contributes to an increase in the drying part of the pine stand); climatic conditions (an increase in temperature during the growing season and a decrease in the amount of precipitation).

The article presents the methodology of collection and desk study of forest litterfall samples. The fractional composition of woody debris has been studied. Biomass and carbon stocks in pine stands litter have been estimated.

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The intensity of anthropogenic impact on forests, according to many researchers, will increase in the next twenty years. In this regard, the area of deciduous plantings in the taiga zone will increase. Knowledge of carbon stocks in green biomass will allow the necessary calculations of the carbon budget of forest ecosystems to be made. Birch in the taiga zone is one of the most significant wood carbon sinks, especially in the initial period of growth. The article used a normative approach to assessing the carbon stock in the leaf fraction of birch plantations. As a result, a number of conclusions were drawn. The use of two series of distributions compiled for birch forests of the forest-steppe and taiga zones showed their insignificant difference in relation to the determination of leaf biomass. The disadvantage of using distribution series when estimating the carbon budget is the inherent linear nature of the dynamics, which does not correspond to the real conditions of the age development of the assimilation apparatus. When determining carbon stocks for the leaf fraction, a high percentage of uncertainty is observed, this is noted by many researchers. To improve the accuracy of estimates of the biological productivity of birch plantations, it is necessary to use local standards and local research data to the maximum.

The research is dedicated to comparing the above ground living vegetation carbon stock in various site conditions. The study was carried out in the Karaul'noe forestry located near Krasnoyarsk, Russia. We placed the research plots in stands of varying density (0.34-1.06) and landforms. Seven research plots are of the closed type (the groundcover develop under the canopy) and three research plots are of the open type (the bank of the Yenisei River, hayfield, area under power lines). Open (forestless) plots (the bank of the Yenisei River, hayfield, area under power lines) and pine forests with forest floor dominated by ferns/tall grasses were of the maximum above ground living vegetation carbon stocks values (from 2.01 to 2.46 tonnes of carbon per ha). A significant carbon sequestration was observed in the pine forest of lingonberry/moss type (1.58 tonnes of carbon per ha) since the moss layer makes a significant contribution to the groundcover carbon accumulation.