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The PERLA system in the Czech Republic: a multivariate approach for assessing the ecological status of running waters

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Abstract

The assessment of running water quality has a long tradition in the Czech Republic, but in the past it focused on the evaluation of organic pollution using the saprobic system. Considering the modern trends of stream ecological status evaluation in water management a new assessment system named PERLA was developed. The system is a complex of biological methods of ecological status assessment of running waters and connected activities in the Czech Republic. It involves 300 reference sites with respective biotic and abiotic data and a prediction model using a newly developed software HOBENT. The model generally follows the published mathematical principles of RIVPACS and represents the site specific and stressor non-specific approaches. The HOBENT software allows the prediction of the target assemblage of benthic macroinvertebrates for any site based on a set of environmental variables (latitude, longitude, distance from source, altitude, slope, catchment area, and stream order) which characterise the site. The predicted assemblage can be compared with the fauna observed at the same site. The comparison makes it possible to evaluate the extent of disturbance, expressed by index B. The model allows to evaluate spring, summer, and autumn seasonal data of the majority of wadable streams in the Czech Republic. The practical application of the PERLA system has started in 2001.

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References

  • Anonymous, 1997. SPSS© 7.5 Statistical Algorithms. SPSS inc.: 541 pp

  • AQEM consortium, 2002. Manual for the application of the AQEM method. A comprehensive method to assess European streams using benthic macroinvertebrates, developed for the purpose of the Water Framework Directive. Version 1.0, February 2002

  • P. D. Armitage D. Moss J. F. Wright M. T. Furse (1983) ArticleTitleThe performance of a new biological water quality score system based on macroinvertebrates over a wide range of␣unpolluted running-water sites Water Research 17 IssueID3 333–347 Occurrence Handle1:CAS:528:DyaL3sXhtFegtLY%3D Occurrence Handle10.1016/0043-1354(83)90188-4

    Article  CAS  Google Scholar 

  • I. Bernardová K. Mrázek M. Fiala (1996) Water quality monitoring, modelling and protection projects in the Czech Republic J. Ganoulis (Eds) Transboundary Water Resources Management: Technical and Institutional Issues. NATO ASI series. 2. Environment NumberInSeriesVII Springer Berlin 150–158

    Google Scholar 

  • Bernardová, I., S. Zahrádková, J. Kokeš, J. Zahrádka & M. Rozkošný, 2003. Analýza hodnocení ekologického stavu řek Dyje a Bečvy. [An analysis of ecological state assessment of the Dyje and Bečva Rivers]. In Bitušík, P. & M. Novikmec (eds), Proc 13th Conference of Slovak Limnological Society and Czech Limnological Society, Banská Štiavnica, June 2003. Acta Facultatis Ecologiae, 10, Suppl. 1: 135–139

  • R. T. Clarke M. T. Furse J. F. Wright D. Moss (1996) ArticleTitleDerivation of a biological quality index for river sites: comparison of the observed with expected fauna Journal of Applied Statistics 23 IssueID2&3 311–332

    Google Scholar 

  • M. Culek (1996) Biogeografické členění České republiky. [Biogeographical classification of the Czech Republic] Enigma Praha 347

    Google Scholar 

  • Dahl, J. & R. K. Johnson, 2004. Detection of ecological change in stream macroinvertebrate assemblages using single metric, multimetric and multivariate approaches. In Dahl, J., Detection of Human-Induced Stress in Streams Comparison of bioassessment approaches using macroinvertebrates. Doctoral dissertation. Acta Universitatis Agriculturae Sueciae, Silvestria 332, part III, 22 pp

  • Davy-Bowker, J., R.T. Clarke, R.K. Johnson, J. Kokeš, J.F. Murphy, & S. Zahrádková, 2006. A comparison of the European Water Framework Directive physical typology and RIVPACS-type models as alternative methods of establishing reference conditions for benthic macroinvertebrates. Hydrobiologia 566: 91–105

    Google Scholar 

  • C. D. Deichsel H. J. Trampisch (1985) Clusteranalyse und Diskrinimanzanalyse Gustav Fischer Verlag Stuttgart, New␣York 135

    Google Scholar 

  • J. Demek (1987) Zeměpisný lexikon ČSR. Hory a nížiny. [Geographical lexicon of Czech Republic. Mountains and lowlands] Academia Praha 584

    Google Scholar 

  • European Commission, 2000. Directive 2000/60/EC. Establishing a framework for community action in the field of water policy. European Commission PE-CONS 3639/1/100 Rev 1, Luxembourg

  • Furse, M.T., D. Moss, J. F.Wright, P. D. Armitage, & R. J. M Gunn, 1986. A practical manual to the classification and prediction of macroinvertebrate communities in running water in Great Britain. Freshwater Biological Association, River laboratory, 147 pp

  • J. M. Hellawell (1986) Biological Indicators of Freshwater Pollution and Environmental Management Elsevier Applied Sciences Publishers London and New York 546

    Google Scholar 

  • M. O. Hill (1979) TWINSPAN – A FORTRAN program for arranging multivariate in an ordered two-way table by classification of the individuals and attributes Cornell University Press Ithaca, New York 99

    Google Scholar 

  • J. Illies (Eds) (1978) Limnofauna Europaea Gustav Fischer Verlag Stuttgart 637

    Google Scholar 

  • Jarkovský, J., L. Dušek, P. Pavliš, J. Hodovský, S. Zahrádková, P. Kukleta & R. Šmíd, 2003. Vícerozměrná pravděpodobnostní typologie říčních lokalit na základě biotických a abiotických dat – návrh uživatelsky přístupného řešení. [Multivariate classification of stream sites based on abiotic and biotic data – suggestion of a robust solution]. In Bitušík P. & M. Novikmec (eds), Proc. 13th Conference of Slovak Limnological Society and Czech Limnological Society, Banská Štiavnica, June 2003. Acta Facultatis Ecologiae, 10, Suppl. 1: 157–160

  • Klecka,, W. R., 1980. Discriminant analysis. Series: Quantitative Applications in the Social Sciences. Sage University paper, 19: 70 pp

  • Kokeš, J., 2002. Predikční modely říčních ekosystémů. [Predictions models of river ecosystems]. Final report of the grant No. 510/7/99 of the Council of the Government of the Czech Republic for Research and Development, T.G.M. Water Research Institute Prague, 85 pp

  • J. Kokeš D. Vojtíšková (1999) Nové metody hodnocení makrozoobentosu tekoucích vod. [New Methods of Running Waters Evaluation Using Benthic Macroinvertebrates.] Výzkum pro praxi, 39 T.G.M. Water Research Institute Prague 84

    Google Scholar 

  • Landa, V. & T. Soldán, 1989. Rozšíření jepic v ČSSR a jeho změny v souvislosti se změnami kvality vody v povodí Labe. [The distribution of the order Ephemeroptera in Czechoslovakia with respect to water quality]. Studie ČSAV, 17, Academia, Praha: 172 pp

  • Moog, O. (ed.), 1995. Fauna Aquatica Austriaca. Katalog zur autökologischen Einstufung aquatischer Organismen Österreichs. Wien: 206 pp

  • R. C. Nijboer P. F. M. Verdonschot (2000) ArticleTitleTaxonomic adjustment affects data analysis: often forgotten error Verh. Int. Ver. Limnol. 27 1–4

    Google Scholar 

  • Schmedtje, U., 1998. Die Ökologische Bewertung von Fließgevässern in Bayern. In Integrierte Ökologische Gewässerbewertung: Inhälte unf Möglichkeiten. Oldenburg Verlag, 199–215

  • R. R. Sokal J. F. Rohlf (1995) Biometry Freeman and Company New York 887

    Google Scholar 

  • T. Soldán S. Zahrádková J. Helešic L. Dušek V. Landa (1998) ArticleTitleDistributional and quantitative patterns of Ephemeroptera and Plecoptera in the Czech Republic: a possibility of detection of long-term environmental changes of aquatic biotopes Folia Fac. Sci. Nat. Masaryk. Brun., Biol. 98 305

    Google Scholar 

  • A. N. Strahler (1952) ArticleTitleHypsometric (area-altitude) analysis of erosional topography Bulletin of the Geological Society of America 63 1117–1142

    Google Scholar 

  • C. J. F. ter Braak (1986) ArticleTitleCanonical correspondence analysis: a new eigenvector technique for multivariate direct gradient analysis Ecology 67 1167–1179 Occurrence Handle10.2307/1938672

    Article  Google Scholar 

  • WRI, 1993. Směrný vodohospodářský plán ČR [Master water management plan of the CR]. Vodohospodářský věstník 1992. MŽP ČR, Publ. SVP č. 40, Praha, 157 pp

  • WRI, 2002. Směrný vodohospodářský plán ČR [Master water management plan of the CR]. Vodohospodářský věstník 2001. MŽP ČR, Publ. SVP č. 51, Praha, 171 pp

  • J. F. Wright P. D. Armitage M. T. Furse (1989) ArticleTitlePrediction of invertebrate communities using stream measurements Regulated Rivers, Research, Managements vol IV 147–155

    Google Scholar 

  • J. F. Wright M. T. Furse P. D. Armitage (1993) ArticleTitleRIVPACS – a technique for evaluating the biological quality of rivers in the U.K European Water Pollution Control 3 IssueID4 15–25

    Google Scholar 

  • J. F. Wright (1995) ArticleTitleDevelopment and use of a system for predicting the macroinvertebrate fauna in flowing waters Australian Journal of Ecology 20 181–197

    Google Scholar 

  • Zahrádková, S., K. Brabec, J. Kokeš, D. Němejcová, T. Soldán, J. Jarkovský, P. Pařil & O. Hájek. Abiotic stream types and species assemblages: is there any simple linkage? Czech streams and benthic macroinvertebrates as an example. International Association of Theoretical and Applied Limnology, Proc. 29th Congress, Lahti, 2004 (in press)

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Authors and Affiliations

  1. Brno Branch Department, Water Research Institute T.G.M. Prague, Dřevařská 12, 657 57, Brno, Czech Republic

    Jiří Kokeš & Denisa Němejcová

  2. Dept. of Zoology and Ecology, Masaryk University Brno, Kotlářská 2, 611 37, Brno, Czech Republic

    Světlana Zahrádková

  3. Ministry of Environment of the Czech Republic, Vršovická 65, 100 10, Prague, Czech Republic

    Jan Hodovský

  4. Centre of Biostatistics and Analyses, Faculty of Medicine and Faculty of Science, Masaryk University, Kamenice 126/3, 625 00, Brno, Czech Republic

    Jiří Jarkovský

  5. Institute of Entomology, Academy of Sciences of the Czech Republic, Branišovská 31, 370 05, České Budějovice, Czech Republic

    Tomáš Soldán

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  1. Jiří Kokeš
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  2. Světlana Zahrádková
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  3. Denisa Němejcová
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  4. Jan Hodovský
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  5. Jiří Jarkovský
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  6. Tomáš Soldán
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Correspondence to Jiří Kokeš.

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Kokeš, J., Zahrádková, S., Němejcová, D. et al. The PERLA system in the Czech Republic: a multivariate approach for assessing the ecological status of running waters. Hydrobiologia 566, 343–354 (2006). https://doi.org/10.1007/s10750-006-0085-4

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