D 2001

A prediction model of running waters ecosystem in the Czech Republic based on mayfly taxocoenes of undisturbed rhithral streams

ZAHRÁDKOVÁ, Světlana; Tomáš SOLDÁN and Jiří KOKEŠ

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

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

International impact, Reviewed
Changed: 16/11/2009 15:08, doc. RNDr. Světlana Zahrádková, Ph.D.

Abstract

In the original language

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 project
Name: 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