ZAHRÁDKOVÁ, Světlana, Tomáš SOLDÁN and Jiří KOKEŠ. A prediction model of running waters ecosystem in the Czech Republic based on mayfly taxocoenes of undisturbed rhithral streams. In Trends in research in Ephemeroptera and Plecoptera. Dordrecht: Plecoptera Kluwer Academics/Plenum Publishers. p. 171-485. ISBN 0-306-46544-2. 2001.
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Basic information
Original name A prediction model of running waters ecosystem in the Czech Republic based on mayfly taxocoenes of undisturbed rhithral streams
Authors ZAHRÁDKOVÁ, Světlana (203 Czech Republic, guarantor), Tomáš SOLDÁN and Jiří KOKEŠ.
Edition Dordrecht, Trends in research in Ephemeroptera and Plecoptera, p. 171-485, 2001.
Publisher Plecoptera Kluwer Academics/Plenum Publishers
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10600 1.6 Biological sciences
Confidentiality degree is not subject to a state or trade secret
RIV identification code RIV/00216224:14310/01:00004864
Organization unit Faculty of Science
ISBN 0-306-46544-2
Keywords in English Ephemeroptera; taxocoenes; rhithral; prediction; environmental changes
Tags environmental changes, Ephemeroptera, Prediction, rhithral, taxocoenes
Tags International impact, Reviewed
Changed by Changed by: doc. RNDr. Světlana Zahrádková, Ph.D., učo 2277. Changed: 16/11/2009 15:08.
Abstract
Samples of mayfly larvae and main environmental variables from 80 undisturbed localities evenly distributed in the Czech Republic were taken and measured during 1994 - 1996. Data were examined by TWINSPAN and by canonical correspondence analysis (CCA) to define mayfly taxocoenes characteristic of different areas and to prepare a mayfly database for a prediction model of effects of environmental changes (HOBENT). To test the general applicability of the model, mayfly species composition at 13 localities was compared to a hypothetical, desired taxocoenes. Although restricted only to a part of aquatic macroinvertebrate communities (mayflies), this procedure permitted evaluation of environmental degradation of other 13 localities. Despite some restrictions, the planned total number of 400 background localities seems to be sufficient for successful application of this prediction model.
Links
GA206/99/1522, research and development projectName: Vliv hydrologických podmínek toku na biotu dna a hyporhealu
Investor: Czech Science Foundation, The impact of hydrological conditions in streams on top bottom and hyporheic biota
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