Abstract
The EU Water Framework Directive requires European Union Member States to establish ‘type-specific biological reference conditions’ for streams and rivers. Types can be defined by using either a fixed typology (System-A), defined by ecoregions and categories of altitude, catchment area and geology, or by means of an alternative characterisation (System-B) that can use a variety of physical and chemical factors. Several European countries also have existing RIVPACS-type models that give site (rather than stream type) specific predictions of benthic macroinvertebrate communities. In this paper we compare the Water Framework Directive (WFD) System-A physical typology and three existing European multivariate RIVPACS-type models as alternative methods of establishing reference conditions. This work is carried out in Great Britain — using RIVPACS, Sweden — using SWEPACSRI and the Czech Republic — using PERLA. We found that in all three countries, all seasons and season combinations, and for all biotic indices tested, RIVPACS-type models were more effective (lower standard deviations of O/E ratios) than models based solely on the WFD System-A variables or null models (based on a single expectation for all sites). We also investigated the explanatory power of whole groups of WFD System-A variables and RIVPACS-type model variables, and the explanatory power of individual variables. We found that variables used in the RIVPACS-type models were often better correlates of macroinvertebrate community variation than the WFD System-A variables. We conclude that this is primarily because while the latter use very broad categories of map-derived variables, the former are based on continuous variables selected for their ecological significance.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Armitage, P. & J. Blackburn, 1985. Chironomidae in the Pennine stream system receiving mine drainage and organic enrichment. Hydrobiologia 121: 165–172.
Clarke, R. T., J. F. Wright & M. T. Furse, 2003. RIVPACS models for predicting the expected macroinvertebrate fauna and assessing the ecological quality of rivers. Ecological Modelling 160: 219–233.
Council of the European Communities., 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.
CSN 75 7716, 1998. Water quality, biological analysis, determination of saprobic index. Czech Technical State Standard. Czech Standards Institute, Prague, 174 pp.
Dawson, F. H., D. D. Hornby & J. H. Hilton, 2002. A method for the automated extraction of environmental variables to help the classification of rivers in Britain. Aquatic Conservation: Marine and Freshwater Ecosystems 12: 391–403.
Extence, C. A., D. M. Balbi & R. P. Chadd, 1999. River flow indexing using British benthic macroinvertebrates: a framework for setting hydroecological objectives. Regulated Rivers Research and Management 15: 543–574.
Feminella, J. W., 2000. Correspondence between stream macroinvertebrate assemblages and 4 ecoregions of the southeastern USA. Journal of the North American Benthological Society 19: 442–461.
Furse, M. T., 2000. The application of RIVPACS procedures in headwater streams — an extensive and important national resource. In Wright, J. F., D. W. Sutcliffe & M. T. Furse (eds), Assessing the Biological Quality of Fresh Waters. Freshwater Biological Association, Ambleside, 79–91.
Hawkins, C. P., R. H. Norris, J. N. Hogue & J. W. Feminella, 2000. Development and evaluation of predictive models for measuring the biological integrity of streams. Ecological Applications 10: 1456–1477.
Hawkins, C. P. & M. R. Vinson, 2000. Weak correspondence between landscape classifications and stream macroinvertebrate assemblages: implications for bioassessment. Journal of the North American Benthological Society 19: 501–517.
Heino, J., T. Muotka & R. Paavola, 2003. Determinants of macroinvertebrate diversity in headwater streams: regional and local influences. Journal of Animal Ecology 72: 425–434.
Illies, J., 1978. Limnofauna Europaea. Gustav Fisher Verlag, Stuttgart.
Johnson, R. K. & L. Sandin, 2001. Development of a Prediction and Classification System for Lake (Littoral) and Stream (Riffle) Macroinvertebrate Communities. Stencil. Department of Environmental Assessment, SLU, Uppsala.
Johnson, R. K., K. Aagaard, K. J. Aanes, N. Friberg, G. M. Gislason, H. Lax & L. Sandin, 2001. Macroinvertebrates. In Skriver, J. (ed), Biological Monitoring in Nordic Rivers and Lakes. TemaNord Environment 513: 43–52.
Kokeš, J., S. Zahrádková, D. Němejcová, J. Hodovský, J. Jarkovský & T. Soldán, 2006. The PERLA system in the Czech Republic: a multivariate approach for assessing the ecological status of running waters. Hydrobiologia 566: 343–354.
Logan, P. & M. Furse, 2002. Preparing for the European Water Framework Directive — making the links between habitat and aquatic biota. Aquatic Conservation: Marine and Freshwater Ecosystems 12: 425–437.
Marvan, P., 1969. Primechania k primeneniu statisticheskich metodov po opredeleniu saprobnosti. Symposium SEV Voprosy saprobnosti, Zivohost, 19–43.
Moss, D., M. T. Furse, J. F. Wright & P. D. Armitage, 1987. The prediction of the macro-invertebrate fauna of unpolluted running-water sites in Great Britain using environmental data. Freshwater Biology 17: 41–52.
National Water Council., 1981. River Quality: The 1980 Survey and Future Outlook. National Water Council, London.
Pantle, E. & H. Buck, 1955. Die biologische Uberwachung der Gewasser und die Darstellung der Ergebnisse. Gas und Wasserfach. 96: 604.
Rabeni, C. F. & K. E. Doisy, 2000. Correspondence of stream benthic invertebrate assemblages to regional classification schemes in Missouri. Journal of the North American Benthological Society 19: 419–428.
Rosenberg, D. M., T. B. Reynoldson & V. H. Resh, 2000. Establishing reference conditions in the Fraser River catchment, British Columbia, Canada, using the BEAST (Benthic Assessment of SedimenT) predictive model. In Wright, J. F., D. W. Sutcliffe & M. T. Furse (eds), Assessing the Biological Quality of Fresh Waters. Freshwater Biological Association, Ambleside, 181–194.
Sandin, L. & R. K. Johnson, 2000. Ecoregions and benthic macroinvertebrate assemblages of Swedish streams. Journal of the North American Benthological Society 19: 462–474.
Simpson, J. C. & R. H. Norris, 2000. Biological assessment of river quality: development of AusRivAS models and outputs. In Wright, J. F., D. W. Sutcliffe & M. T. Furse (eds), Assessing the Biological Quality of Fresh Waters. Freshwater Biological Association, Ambleside, 125–142.
Sweeting, R., 2001. Classification of ecological status of lakes and rivers — biological elements in the classification. In Back, S. & K. Karttunnen (eds), Classification of Ecological Status of Lakes and Rivers. TemaNord Environment 2001:584, Nordic Council of Ministers, Copenhagen, 9.
ter Braak, C. J. F. & I. C. Prentice, 1988. A theory of gradient analysis. Advances in Ecological Research 18: 271–317.
ter Braak, C. J. F. & P. Smilauer, 2002. CANOCO Reference Manual and CanoDraw for User’s Guide: Software for Canonical Community Ordination (version 4.5). Microcomputer Power (Ithaca NY, USA), 500 pp.
Van Sickle, J. & R. M. Hughes, 2000. Classification strengths of ecoregions, catchments, and geographical clusters for aquatic vertebrates in Oregon. Journal of the North American Benthological Society 19: 370–384.
Van Sickle, J., C. P. Hawkins, D. P. Larsen & A. H. Herlihy, 2005. A null model for the expected macroinvertebrate assemblage in streams. Journal of the North American Benthological Society 24: 178–191.
Verdonschot, P. F. M. & R. C. Nijboer, 2004. Testing the European stream typology of the Water Framework Directive for macroinvertebrates. Hydrobiologia 516: 35–54.
Waite, I. R., A. T. Herlihy, D. P. Larsen & D. J. Klemm, 2000. Comparing strengths of geographic and non-geographic classifications of stream benthic macroinvertebrates in the Mid-Atlantic Highlands, USA. Journal of the North American Benthological Society 19: 429–441.
Wilander, A., R. K. Johnson & W. Goedkoop, 2003. Riksinventering 2000: En synoptisk studie av vattenkemi och bottenfauna i svenksa sjöar och vattendrag. Department of Environmental Assessment, Swedish University of Agricultural Sciences, Uppsala, Report 2003, 1 pp.
Wright, J. F., D. Moss, P. D. Armitage & M. T. Furse, 1984. A preliminary classification of running water sites in Great Britain based on macro-invertebrate species and prediction of community type using environmental data. Freshwater Biology 14: 221–256.
Wright, J. F., 2000. An introduction to RIVPACS. In Wright, J. F., D. W. Sutcliffe & M. T. Furse (eds), Assessing the Biological Quality of Fresh Waters. Freshwater Biological Association, Ambleside, 1–24.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer
About this chapter
Cite this chapter
Davy-Bowker, J., Clarke, R.T., Johnson, R.K., Kokes, J., Murphy, J.F., Zahrádková, S. (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. In: Furse, M.T., Hering, D., Brabec, K., Buffagni, A., Sandin, L., Verdonschot, P.F.M. (eds) The Ecological Status of European Rivers: Evaluation and Intercalibration of Assessment Methods. Developments in Hydrobiology, vol 188. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-5493-8_7
Download citation
DOI: https://doi.org/10.1007/978-1-4020-5493-8_7
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-5160-9
Online ISBN: 978-1-4020-5493-8
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)