The method of determining the plants phytoindicator traits adaptive changes coefficient

Abstract

One of the key environmental problem is the study of protective and adaptive reactions of plants to technogenic conditions. When carrying out a comparative analysis of plants implementation results adaptive mechanisms the quantitative assessment of these processes is great importance. Currently, calculation formulas have been developed to assess the adaptive potential of a particular cultivar, taking into account their yield. In this case, it is necessary to use the average yield of the variety and culture for the entire period of cultivation to quantify the value of the adaptive potential realization. There is a graphical method of determining the value of adaptive potential plants implementation using curves variability phytoindicator features of the studied plants (length, width, area, shape index sheet, the annual growth of trees, the chlorophyll fluorescence induction index etc.), growing under man-made conditions, and the curves of plants these signs variability in background conditions. The value of the adaptive capacity implementation in this case may be defined as the percentage area overlap of the variability phytoindicator characteristic the object in technogenic conditions curve and variability phytoindicator the control test object curve. However, this method provides for the contribution of only the adaptive changes degree and does not take into account the depth of differences in the phytoindicator characteristics the object in technogenic conditions and the control object. To assess changes in the plants parameters under the influence adverse factors environment possible with use the analysis method of growth in ontogenesis lamina dynamics in the contaminated territories. The method involves study the parameters average dynamics (length, width, perimeter and leaf area) of leaves groups (at least five in the group), located on hanging branches on the world four sides, depending on the distance from the road edge and the each group leaves height above the soil surface. Further, statistical modeling reveals multifactorial regularities of the influence of the accounting sheet height above the soil surface, the distance from the road to the accounting leaves individual parameters change. Given the adaptive changes genetic nature developed discrete-systematic approach to the plants adaptive capacity analysis, which allows us to analyze data about the adaptive reactions genetic nature and to obtain new information about the management at different levels of living organisms organization, including the biosphere. Since these methods do not provide for the definition a single quantitative criterion that allows comparative analysis of the several plants phytoindicator parameters dynamics, this was the purpose of this work.