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Classification and Mapping of Coenotic Diversity of Forests

Chernen’kova, T.V., Morozova, O.V.
Contemporary problems of ecology 2017 v.10 no.7 pp. 738-747
Picea, climatic factors, forest maps, forests, geographic information systems, remote sensing, taiga, Russia, Scandinavia
The proposed approach to the study of regularities of spatial variability of plant cover and to mapping forest vegetation is illustrated by the example of European Russia. It is shown that remote sensing and GIS technologies require particular standards of plant cover classification and reflection in maps. The given principles of classification and compilation of explications for maps of forest cover enable an assessment of its status and dynamics and a comparison of materials of different scales. We use the ecological–phytocoenotic approach to classifying forest vegetation. The specified units correspond to the categories of the main classifications of plant cover used in Russian geobotanics. In our classification, we have verified some parameters and the semantics of the mapped units, using satellite images, for their definite identification and interpretation. The elaborated approach to the classification and mapping of forest cover is applied for the study of the diversity of spruce forests under different climatic conditions in two regions, where they occupy about 20% of the total area. The first example characterizes the northern taiga subzone of forests of eastern Fennoscandia in the center of Murmansk oblast, and the second one represents the subzone of broad-leaved–coniferous forest in the southwest of Moscow oblast.