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Publication details
Alien plants in different types of ruderal vegetation
Authors | |
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Year of publication | 2006 |
Type | Article in Proceedings |
Conference | Neobiota – From Ecology to Conservation |
MU Faculty or unit | |
Citation | |
Field | Botany |
Keywords | alien plants; synanthropic vegetation; regression trees |
Description | Human settlements harbour many alien species, which occur in various anthropogenic habitats. Generally, man-made habitats situated in towns and villages and their surroundings are exposed to a strong propagule pressure of aliens, various irregular disturbances of different intensity and have diverse ecological conditions. The ratio of archaeophytes, neophytes and native species in vegetation varies depending on these factors. The basic data set was extracted from the Czech National Phytosociological Database and included 3538 relevés of annual and perennial ruderal vegetation from anthropogenic habitats in the Czech Republic. The highest representation of alien species was recorded in annual ruderal vegetation belonging to alliances Eragrostion (65%), Malvion, Salsolion (both 64%), Bromo-Hordeion (62%) and Sisymbrion (61%). Archaeophytes are well-represented mainly in Malvion (54%), Bromo-Hordeion (53%), Sisymbrion (50%), Eragrostion (48%) and Onopordion (46%), whereas neophytes are most abundant in vegetation types Salsolion (22%), Eragrostion (17%), Sisymbrion (11%) and Malvion (10%). In contrast, native species prevail mostly in perennial ruderal vegetation of the alliances Aegopodion, Galio-Alliarion, Convolvulo-Agropyrion, Dauco-Melilotion, Arction and trampled vegetation of Polygonion. To determine the relationship between the ratio of aliens in different ruderal vegetation types and environmental factors the data set was subjected to regression tree analyses. As the response variables the proportional numbers of archaeophytes and neophytes in relevés were used. The most important predictor variables for the particular regression trees were vegetation types classification and elevation. |
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