
To the problem of classification of ecosystems of south-east Ukraine
Author(s) -
Владимир Михайлович Остапко,
О. М. Шевчук,
Svetlana Anatolievna Prikhodko
Publication year - 2016
Publication title -
samarskij naučnyj vestnik
Language(s) - English
Resource type - Journals
eISSN - 2782-3016
pISSN - 2309-4370
DOI - 10.17816/snv20161109
Subject(s) - ecosystem , floodplain , wetland , watershed , environmental science , geography , ecology , machine learning , computer science , biology , cartography
This work addresses modern approaches to the classification of ecosystems as a tool for understanding of their diversity and relation to geographical and environmental systemic factors, as well as for solving practical problems of conservation and rational management. A classification of ecosystems of south east Ukraine is given based on the dominant vegetation classification. The basis of classification is the division of ecosystems according to the type of macroecotope (watershed, gully, above flood-plain terrace, floodplain) and edaphotope (developed black soil, washed away black soil on rocky sandstone outcrops, shale, granite, marl, limestone, chalk, sandy and meadow soils). The basis for the division of ecosystems of the same level of each class is based on different features: topical, physionomic, edaphic, dynamic. Classification is based on hierarchical principle. The class of natural ecosystems with dominance of phanerophytes includes ecosystems of coniferous forests and deciduous forest ecosystems of nemoral type, represented mainly by lowland-watershed, gully (ravine) oakeries. The class of natural grass and shrub ecosystems is represented by wetland, grassland and extremely diverse steppe ecosystems. Both classes include ecosystems with different moistening, soil erosion and confinement to edafotopes, developed at the outcrops of different rock types. Class of anthropogenic ecosystems is outlined in general and needs more detailed study. We compiled a lists of formations and subformations of vegetation, belonging to of the lower hierarchy level ecosystems.