Interregional features in the taxonomic composition of the Russian segetal floras

Author:

Baranova O. G.1ORCID,Tretyakova A. S.2ORCID,Luneva N. N.3ORCID,Zverev A. A.4ORCID,Kondratkov P. V.5ORCID,Terekhina T. A.6ORCID,Khasanova G. R.7ORCID,Yamalov S. M.8ORCID,Lebedeva M. V.8ORCID

Affiliation:

1. Komarov Botanical Institute of the Russian Academy of Sciences

2. Ural Federal University named after the first President of Russia B.N. Yeltsin; Ural Branch of the Russian Academy of Sciences

3. All-Russian Research Institute of Plant Protection

4. Tomsk State University; Senior Researcher Central Siberian Botanical Garden, Siberian Branch of the Russian Academy of Sciences

5. Ural Federal University named after the first President of Russia B.N. Yeltsin

6. Altai State University

7. Bashkir Research Institute of Agriculture, Ufa Federal Research Center of the Russian Academy of Sciences

8. South-Ural Botanical Garden-Institute, Ufa Federal Research Center of the Russian Academy of Sciences

Abstract

The article contains a comparative analysis of the taxonomical structure of the weedy species composition (segetal flora) in eight regions of Russian Federation: Leningrad, Novgorod, Vologda, Rostov and Sverdlovsk Provinces, Udmurt Republic, Republic of Bashkortostan, and Altai Territory. The segetal flora comprised weeds of cereals, root crops and perennial grasses. The comparison was made separately for the native and alien weeds. The number of native species was higher than that of alien species and varied from 137 to 209 species. The number of alien weeds varied from 99 to 179 species. Vologda Province had the lowest diversity of both native and alien plant species. Udmurt Republic had the greatest native species diversity and Altai Territory had the greatest alien species diversity. The Asteraceae, Poaceae, Brassicaceae, Fabaceae, Lamiaceae, Caryophyllaceae and Scrophulariaceae families dominated in both the native and alien fractions. The authors compared the compositions of species, families and genera of native and alien weeds. Native and alien weedy species showed the greatest similarity in their composition in geographically close regions: European Russia and the Urals. As for geographically remote regions – Altai Territory and Rostov Province – native and alien weedy species compositions were distant. At the same time, the levels of similarity among the native species were lower than among the alien ones. This attests to greater variability in the species composition among native weeds than among alien ones.

Publisher

FSBSI FRC N.I. Vavilov All-Russian Institute of Plant Genetic Resources

Subject

Plant Science,Genetics,Molecular Biology,Physiology,Biochemistry,Ecology, Evolution, Behavior and Systematics,Biotechnology

Reference39 articles.

1. Bakhtizin N.R., Minniakhmetov I.S., Shcherbakov B.T., Yanguzin R.Z. Agriculture (Zemledeliye). In: Bashkir Encyclopedia. Vol. 3. Ufa; 2007. p.57-59. [in Russian]

2. Czekanowski J. “Coefficient of racial likeness” und “durchschnittliche Differenz”. Anthropologischer Anzeiger. 1932;9(3-4):227-249. [in German]

3. Dice L.R. Measures of the amount of ecologic association between species. Ecology. 1945;26(3):297-302. DOI: 10.2307/1932409

4. Espinosa-García F.J., Villaseñor J.L., Vibrans H. Geographical patterns in native and exotic weeds of Mexico. Weed Technology. 2004;18(1):1552-1558. DOI: 10.1614/0890-037X(2004)018[1552:GPINAE]2.0.CO;2

5. Glemnitz M., Radics I., Hoffmann J., Czimber G. Weed species richness and species composition of different arable field types – A comparative analysis along a climate gradient from south to north Europe. Journal of Plant Diseases and Protection. 2006;special issue:577-586.

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