The influence of the hydrothermal regime on the electrical resistance precompiling complex tissues of the trunk of a silver birch ( Betula pendula Roth.) in the conditions of oil sludge pollution

The study of the life processes of woody plants by the electrometric method under the influence of adverse factors, including oil sludge, serves as one of the adequate methodological approaches to assessing the state of forest biogeocenoses. The purpose of the study was to study the influence of the hydrothermal regime of the air environment in terms of sludge contamination of the soil by the amount of electrical resistance precompiling complex tissues of the trunks of silver birch. The object of the study is hanging birch trees (Betula pendula Roth) growing in the basin of buffer ponds of JSC Gazpromneft - ONPZ (Omsk). The research area is the central forest-steppe of the south of Western Siberia. Comparisons of the experience options were carried out according to the Student's criteria. The dependence of the electrical resistivity of the precambial tissue complex (PCT) of the birch trunk under different conditions of atmospheric moisture in the conditions of oil-sludge contamination of soils was studied. A close dependence of the change in the value of the electrical resistance (ES) of the PKT on the hydrothermal regime of the air environment in both the control and experimental groups was revealed. According to the results of our long-term studies, it can also be noted that the duration of a significant negative effect of oil sludge (at the given concentration) on the ES of birch trees in the conditions of the forest-steppe zone of Western Siberia continues to manifest itself for eleven years (τфакт > τ0.5). The obtained results can be used in screening studies of the state of forest biogeocenoses and in planning and organizing biorecultivation activities in the territory of sanitary protection zones of oil refineries and in areas of oil production and transportation. The results of the studies were processed by standard methods of variational statistics, correlation, regression and variance univariate analyses using the Statistica 10 package.