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Environmental drivers of macrophyte species richness in artificial and natural aquatic water bodies – comparative approach from two central European regions

Published online by Cambridge University Press:  10 October 2014

Richard Hrivnák*
Affiliation:
Institute of Botany, Slovak Academy of Sciences, Dúbravská cesta 9, SK-845 23 Bratislava, Slovakia
Judita Kochjarová
Affiliation:
Institute of Botany, Slovak Academy of Sciences, Dúbravská cesta 9, SK-845 23 Bratislava, Slovakia Botanical Garden, Comenius University, Blatnica 315, SK-038 15 Blatnica, Slovakia
Helena Oťaheľová
Affiliation:
Institute of Botany, Slovak Academy of Sciences, Dúbravská cesta 9, SK-845 23 Bratislava, Slovakia
Peter Paľove-Balang
Affiliation:
Institute of Biological and Ecological Sciences, University of P. J. Šafárik, Mánesova 23, SK-040 01 Košice, Slovakia
Michal Slezák
Affiliation:
Institute of Botany, Slovak Academy of Sciences, Dúbravská cesta 9, SK-845 23 Bratislava, Slovakia Department of Biology and Ecology, Faculty of Education, Catholic University, Hrabovská cesta 1, SK-034 01 Ružomberok, Slovakia
Peter Slezák
Affiliation:
Faculty of Medicine, Institute of Simulation and Virtual Medical Education, Comenius University, Špitálska 24, SK-813 72 Bratislava, Slovakia
*
*Corresponding author: richard.hrivnak@savba.sk
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Abstract

Species richness of macrophytes of artificial and natural water bodies covering rivers, streams, canals and habitats with standing water was studied in two Central European biogeographical regions, Pannonian and Carpathian, represented by two model areas (the Borská nížina Lowland and the Turčianska Kotlina Basin). We found that: (i) the total number of macrophytes was higher in artificial water bodies compared to natural aquatic habitats in both regions and differences were statistically significant (P<0.05); and (ii) species richness of macrophytes is relatively low in both regions; slightly higher mean number was found in the Pannonian region (3.53) compared with the Carpathian region (3.06). Effects of environmental characteristics on species richness studied by generalized linear model (GLM) showed that explained variances of GLM were similar in both regions. The main drivers of the diversity pattern were those connected with the hydrology of water bodies, such as substrate characteristics and turbidity, less frequent were chemical characteristics, such as water conductivity and N-contents, whereas landscape characteristics manifested the smallest impact.

Type
Research Article
Copyright
© EDP Sciences, 2014

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