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The article presents the results of a long-term experimental monitoring (1996-2023) of the condition of indicator plants has been implemented in the territory of Central Donbass. Due to the experiment, it was proved that flowering plants have both indices of non-plasticity in the structure of vegetative and generative parts. Indicator species analyzed: Centaurea diffusa Lam., Cichorium intybus L., Diplotaxis muralis (L.) DC., Echium vulgare L., Reseda lutea L., Senecio vulgaris L. and others. Registration sites with priority pollutants and complex pollution have been established. It was found that the geostrategic pattern obtained by mapping for traits on embryotic teratogenesis and morphological heterogeneity of indicator plants coincide on 93% of the projective coverage area. It was found out that for the period 1996-2013, 32% of the total investigated area of the Central Donbass was technogenically transformed, for the period 2014-2021, this indicator was 36%, and for 2022-2023, 41%.
The article presents the results of a long-term experimental monitoring (1996-2023) of the condition of indicator plants has been implemented in the territory of Central Donbass. Due to the experiment, it was proved that flowering plants have both indices of non-plasticity in the structure of vegetative and generative parts. Indicator species analyzed: Centaurea diffusa Lam., Cichorium intybus L., Diplotaxis muralis (L.) DC., Echium vulgare L., Reseda lutea L., Senecio vulgaris L. and others. Registration sites with priority pollutants and complex pollution have been established. It was found that the geostrategic pattern obtained by mapping for traits on embryotic teratogenesis and morphological heterogeneity of indicator plants coincide on 93% of the projective coverage area. It was found out that for the period 1996-2013, 32% of the total investigated area of the Central Donbass was technogenically transformed, for the period 2014-2021, this indicator was 36%, and for 2022-2023, 41%.
The technology of using the indicative properties of plants both for obtaining scientific results and teaching this technique to students and young scientists is proposed for implementation. Aspects of research organization and didactic work in the implementation of the environmental monitoring program of Donbass are highlighted. Over the period of research (1996-2023), high levels of pollution and anthropogenic transformation of ecosystems in the industrial areas of Eastern Europe have been established. The data are based both on experiments in open landscapes and laboratory conditions, special procedures for statistical processing and interpretation of the results. These localities of intensive economic use are the places of great scientific and applied interest to ecologists and educators in this area. Indicator plants are visual objects in the knowledge of the fundamental nature and practical use for information about the quality of the environment. In scientific and educational activities the following are important: organization of a laboratory, availability of equipment, functioning of a museum, a card-index, a herbarium fund, the possibility of introducing case studies technology, the theory of solving inventive tasks, conducting interactive lectures, seminars, demonstration experiments and special modern technologies for training environmental specialists – modeling and land-use forecasting and urbanized environment. Methods of implementation of scientific and pedagogical experiment on phytomonitoring and ecological expertise with the help of plants have been introduced into work with students, postgraduates and young scientists of the Department of Botany and Ecology of Donetsk State University.
The ecological situation in the Central Donbas remains tense today and requires timely diagnosis of the state of ecosystems. Major causes of the tense environmental situation in Donbass are high level of industrialization (mining, metallurgical, mining and chemical industries), urbanization, agricultural technologies, landscape transformation and warfare from 2014 to the present. With all the variety of biological and chemical methods in obtaining large numerical information, the importance of mathematical approaches is of particular significance. Using the example of principal component analysis, a method for visualizing data in assessing transformed ecotopes of Donbass has been tested. An attempt has been made to reconstruct some missing data from the list of numerical characteristics. The values of probability and reliability of the data have been established. This allows to have more accurate information in monitoring and assessing the environment in the region. Principal component analysis complements the available cartographic materials, highlights the most significant processes considering general degradation of the state of Donbass ecosystems (by indicator plants Bryum argenteum Hedw., Ceratodon purpureus (Hedw.) Brid, Amblystegium subtile (Hedw.) Schimp., Centaurea diffusa Lam., Cichorium intybus L., Tripleurospermum inodorum (L.) Sch. Bip. et al.). The cause and effect relationships in the peculiarities of landscape transformation are grouped in order to further restore the integrity and functionality of the historical and geographical environment.
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