Phytoecological mapping and the maps of stability of phytocoenoses
L. I. Meltser
DOI: https://doi.org/10.31111/geobotmap/1997.28
Annotation
Investigations were conducted in connection with the economic activity in the North of Yamal Peninsula. The special role in this work belongs to ecological maps. After V. B. Sochava the author considers them to be the maps with biocentric tendency, for these maps reflect the relations between biota and the leading environmental parameters (in the region).
The studied area is situated in the west part of the northern strip of the Typical Tundra Subzone in Yamal (the Zone of Subarctic Tundra of West Siberia).The cartographic works included three stages: 1) compiling the universal geobotanical map; 2) compiling the phytoecological map with the accent on the indication properties of vegetation (the legend of the latter map and the fragment of map itself are given in the table 1 and fig. 1); 3) compiling the map of vegetation stability to technogenic impact. The estimation of stability is based on the regularities of natural successions and anthropogenic dynamics of vegetation with regard to physiographical and geological features of surface and character and intensity of technogenic influence. Criteria for the recognition of stability types are the different capacity of phytocoenoses to withstand the technogenic influence and the period of time necessary for restoration of phytocoenoses. The author has recognized 5 types of vegetation stability. Compiling the stability map was forewarned also by the estimation of vegetation disturbances. 5 gradations of disturbance are presented in table 2. In this table the main trends of anthropogenic dynamics of vegetation are also shown. In the final map of the vegetation stability to technogenic impact (Fig. 2) and in its legend (Table 3) all mapping units are subordinated to 5 types of vegetation stability.
Section: Articles
How to cite
Meltser L. I. 1999. Phytoecological mapping and the maps of stability of phytocoenoses // Geobotanical mapping 1997. St. Petersburg. P. 28–47. https://doi.org/10.31111/geobotmap/1997.28