The proposed approach allows us to evaluate the response of forest stands to local weather changes and resistance to insect attack without using data from weather stations, sometimes located far from ...experimental forest areas. All raw data were obtained during the season using remote sensing data (MODIS / AQUA). The ability to pre-determine decrease and loss of forest stands resistance to possible insect attacks can be extremely important for solving the tasks of forest-entomological monitoring and calculating the risk of forest insect's outbreaks.
The potential for the assessment of the tree state based on remote-sensing data has been studied. The integral indicators of seasonal dynamics of the vegetation-index (NDVI) were used. The values for ...in 2003–2017 were compared for control (unharmed) and damaged test plots in the Khamar-Daban zone near the coast of Lake Baikal (Irkutsk oblast). It is shown that the use of the proposed integral indicators of the seasonal NDVI dynamics makes it possible to classify the test plots according to the tree state.
Based on the concept of competition for resources, the distribution of trees upon reforestation in windfall areas is studied. As a theoretical model for competition, a Zipf-Pareto model of ranking ...the distribution of resources is used. Analysis shows that the processes resulting from competitive interactions between the trees of different species proceed slowly in a windfall area where coniferous species get replaced by deciduous ones. In the territory where deciduous species initially dominated, competitive interactions between trees of different species turn out to be formed almost immediately upon natural reforestation after the windfall. By the time the ratio of species stabilizes and becomes a steady state, the ranks of individual species also stabilize. This result is obtained on the basis of a quantitative assessment of the change in leadership between competing species in time using Spearman’s rank correlation coefficient.
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