BIO Web Conf.
Volume 16, 2019“Results and Prospects of Geobotanical Research in Siberia”, dedicated to the 75th anniversary of the laboratory of ecology and geobotany of CSBG SB RAS
|Number of page(s)||4|
|Published online||23 October 2019|
Floristic areas of the Middle Volga region: materials to the analysis
Institute of Ecology of the Volga river basin of RAS, 445003, Komzina Str., 10,
* Corresponding author: email@example.com
The publication presents some quantitative characteristics of the 17 pre-selected floristic areas of the Middle Volga region (the total number of species, number of indigenous taxa and the number of differentiating species). Based on the available data, a linear regression is constructed, illustrating the relative dominance of allochthonous or autochthonous trends in the development of flora in the selected areas. The cluster analysis of the species lists of the floristic areas was completed, and then DCA-ordination of the selected areas was implemented. It is revealed that the forest-steppe areas of the Cis-Volga and Trans-Volga regions are situated by the level of species richness, and the number of species in the selected floristic areas is increasing from West and East towards the Volga.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
For the territory of the Middle Volga region (within the borders of Samara oblast and Ulyanovsk oblast) to date floristic zoning is absent, which complicates the characterization of the distribution of vascular plants in the region and identification of patterns of their distribution. Previously, the working floristic zoning of the region was proposed . This publication presents some quantitative characteristics of the selected areas and applied methodological practices.
There are 17 pre-selected districts, the analysis of the floristic specificity of which is made on the basis of indigenous species (table). Alien, extinct species and some species of the genera Alchemilla, Pilosella and Taraxacum didn't enter into consideration.
The work is based on the information stored in the Salix database, which contains information on nomenclature and distribution of species of plant within the Middle Volga region .
As it can be seen from the table, the number of indigenous species in the areas is almost comparable and varies from 1101 species (Zhigulevsky) to 541 (the Cheremshansky). With the exception of the South Volga, Bugulmino-Belebeevsky and Zasursky areas, information about the flora of which is very scarce.
The forest-steppe areas of the Cis-Volga and Trans-Volga regions are situated by the species richness and the number of species in the selected floristic areas is increasing from West and East towards the Volga. It should also be noted that the floristic richness of the selected areas is associated not so much with the general physiographic conditions and degree of territory development, but also with their size.
The number of identified at the moment of the differential species varies from 0 to Bugulmino-Belebeevsky, Cheremshansky and Ahty-Mainsky to 22 in Soksky, 30 in Irgizky and 43 in Zhigulevsky floristic areas. The total number of differential species is 156, which is about 10.5% of the sample. At the same time, 86 species are noted only in the Cis-Volga region, whereas 62 species are known solely in the Trans-Volga region.
According to the algorithm proposed by O.V. Khitun and A.A. Zverev , linear regression was constructed on the basis of the ratio of the number of species and genus, illustrating the relative dominance of allochthonous or autochthonous trends in selected floristic regions (Fig. 1). The coefficient of determination was very high in this case (0,959).
Floristic lists for the areas were formed into a database on the platform of the program TURBOVEG . Processing and analysis were conducted with the assistance of the JUICE 7.0. software package . Using the PC-ORD 5.0. program, the data were subjected to cluster analysis that divided the sample into 3 groups (Fig. 2), and after that the DCA- ordination was conducted using the built-in JUICE program of the "Ordijuice" module from the R software package .
The first cluster unites almost all forest-steppe areas of the Cis-Volga and the Trans- Volga regions. The second cluster is the Zhigulevsky and Soksky floristic areas demonstrating the linkage between Zhiguli and the Urals, and the spread of most of the endemic species with the South Ural-Volga area is associated with these areas. The third cluster is Irgizky area, demonstrating a territory which is transitional to the dry steppe area (Fig. 3).
Thus, the proposed work represents an attempt to understand and analyze the working of the scheme of floristic zoning of the region. The study itself is an exploratory one, and the achieved results are largely preliminary.
- S.A. Senator, Biol Bull Russ Acad Sci., 44 (2017) [Google Scholar]
- S. Senator, A. Klenin, S. Saksonov, Abstracts of the conference “Information Technologies in the Research of Biodiversity” (Irkutsk, 2018) [Google Scholar]
- O.V. Khitun, A.A. Zverev, Vestnik Udmurstkogo Universiteta. Seriya Biologia. Earth science, 3 (2012) [Google Scholar]
- S.M. Hennekens, J.H.J. Schaminée, J. Veg. Sci., 12 (2001) [Google Scholar]
- L. Tichý, J. Veg. Sci., 13 (2002) [Google Scholar]
- D. Zelený, L. Tichý, 18th Workshop of European Vegetation Survey in Rome. (Roma: La Sapienza Univerzita, 2009) [Google Scholar]
The dependence of the number of species from the number of genus in the selected floristic areas
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