Biodiversity & Ecology

Journal of the Division Biodiversity, Evolution and Ecology of Plants , Institute for Plant Science and Microbiology, University of Hamburg.

Short Database Report Open Access

Database Meadows and Steppes of South Ural

Sergey Yamalov*, Albert Muldashev, Artem Bayanov, Tatyana Jirnova & Aizek Solomesch

Article first published online: 24 September 2012

DOI: 10.7809/b-e.00089

*Corresponding author contact: geobotanika@mail.ru

<< Volume 4

Biodiversity & Ecology (Biodivers. Ecol.)

Special Volume: Vegetation databases for the 21st century,
edited by Jürgen Dengler, Jens Oldeland, Florian Jansen, Milan Chytrý, Jörg Ewald, Manfred Finckh, Falko Glöckler, Gabriela Lopez-Gonzalez, Robert K. Peet & Joop H.J. Schaminée

Volume 4, pages 291–291, Sep 12

PDF (259 kB)

Keywords: Bashkortostan republic; meadow; steppe.

English

Abstract: The Database Meadows and Steppes of South Ural (GIVD ID 00-RU-003) was established in 2002 at the Department of Ecology in Bashkir State University. It contains 1365 geobotanical relevés of meadows and steppe of South-Ural region and their mountain analogues studies were made during 1961–2008. It includes almost all the different types of non-forest vegetation of region. The database is used to develop syntaxonomy of Southern Urals non-forest vegetation, for nature conservation, for phytocoenological and ecologycal analysis of the syntaxa at all levels, for the comparison with syntaxa-analogues from other regions and investigation of relationships on the species and ecosystem levels. Also, this database is used as the basis for investigation of anthropogenic dynamics of vegetation South-Ural region and developing recommendations for stimulating restoration succession.

Suggested citation:
Yamalov, S., Muldashev, A., Bayanov, A., Jirnova, T., Solomesch, A. (2012): Database Meadows and Steppes of South Ural. – In: Dengler, J., Oldeland, J., Jansen, F., Chytrý, M., Ewald, J., Finckh, M., Glöckler, F., Lopez-Gonzalez, G., Peet, R.K., Schaminée, J.H.J. [Eds.]: Vegetation databases for the 21st century. – Biodiversity & Ecology 4: 291–291. DOI: 10.7809/b-e.00089.