Hydrobiologia

, Volume 566, Issue 1, pp 3–29 | Cite as

The STAR project: context, objectives and approaches

  • Mike Furse
  • Daniel Hering
  • Otto Moog
  • Piet Verdonschot
  • Richard K. Johnson
  • Karel Brabec
  • Kostas Gritzalis
  • Andrea Buffagni
  • Paulo Pinto
  • Nikolai Friberg
  • John Murray-Bligh
  • Jiri Kokes
  • Renate Alber
  • Philippe Usseglio-Polatera
  • Peter Haase
  • Roger Sweeting
  • Barbara Bis
  • Krzysztof Szoszkiewicz
  • Hanna Soszka
  • Gunta Springe
  • Ferdinand Sporka
  • Il’ja Krno
Article

Abstract

STAR is a European Commission Framework V project (EVK1-CT-2001-00089). The project aim is to provide practical advice and solutions with regard to many of the issues associated with the Water Framework Directive. This paper provides a context for the STAR research programme through a review of the requirements of the directive and the Common Implementation Strategy responsible for guiding its implementation. The scientific and strategic objectives of STAR are set out in the form of a series of research questions and the reader is referred to the papers in this volume that address those objectives, which include: (a) Which methods or biological quality elements are best able to indicate certain stressors? (b) Which method can be used on which scale? (c) Which method is suited for early and late warnings? (d) How are different assessment methods affected by errors and uncertainty? (e) How can data from different assessment methods be intercalibrated? (f) How can the cost-effectiveness of field and laboratory protocols be optimised? (g) How can boundaries of the five classes of Ecological Status be best set? (h) What contribution can STAR make to the development of European standards? The methodological approaches adopted to meet these objectives are described. These include the selection of the 22 stream-types and 263 sites sampled in 11 countries, the sampling protocols used to sample and survey phytobenthos, macrophytes, macroinvertebrates, fish and hydromorphology, the quality control and uncertainty analyses that were applied, including training, replicate sampling and audit of performance, the development of bespoke software and the project outputs. This paper provides the detailed background information to be referred to in conjunction with most of the other papers in this volume. These papers are divided into seven sections: (1) typology, (2) organism groups, (3) macrophytes and diatoms, (4) hydromorphology, (5) tools for assessing European streams with macroinvertebrates, (6) intercalibration and comparison and (7) errors and uncertainty. The principal findings of the papers in each section and their relevance to the Water Framework Directive are synthesised in short summary papers at the beginning of each section. Additional outputs, including all sampling and laboratory protocols and project deliverables, together with a range of freely downloadable software are available from the project website at www.eu_star.at.

Keywords

Water Framework Directive ecological status biological quality elements intercalibration uncertainty software 

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References

  1. AQEM Consortium, 2002. Manual for the application of the AQEM system. A comprehensive method to assess European streams using benthic macroinvertebrates, developed for the purpose of the Water Framework Directive. Version 1.0, February 2002Google Scholar
  2. Balon, E. K. 1975Reproductive guilds of fishes: a proposal and definitionJournal of the Fisheries Research Board of Canada32821864Google Scholar
  3. Baattrup-Pedersen, A., Szoszkiewicz, K., Nijboer, R., O’Hare, M., Ferreira, T. 2006Macrophyte communities in unimpacted European streams: variability in assemblage patterns, abundance and diversityHydrobiologia566247260Google Scholar
  4. Besse-Lotoskaya, A., Verdonschot, P. F. M., Sinkeldam, J. A. 2006Uncertainty in diatom assessment: Sampling, identification and counting variationHydrobiologia566247260Google Scholar
  5. Birk, S., Hering, D. 2002Waterview Web-Database: a comprehensive review of European assessment methods for riversFBA News204Google Scholar
  6. Buffagni, A., Erba, S., Cazzola, M., Murray-Bligh, J., Soszka, H., Genoni, P. 2006The STAR common metrics approach to the WFD intercalibration process: Full application for small, lowland rivers in three European countriesHydrobiologia566379399Google Scholar
  7. Buffagni, A., Kemp, L. J. 2002Looking beyond the shores of the United Kingdom: addenda for the application of River Habitat Survey in southern European riversJournal of Limnology61199214Google Scholar
  8. Birk, S., Hering, D. 2006Direct comparison of assessment methods using benthic macroinvertebrates: a contribution to the EU Water Framework Directive intercalibration exerciseHydrobiologia566401415Google Scholar
  9. Birk, S., Korte, T., Hering, D. 2006Intercalibration of assessment methods for macrophytes in lowland streams: direct comparison and analysis of common metricsHydrobiologia566417430Google Scholar
  10. Bis, B. & P. Usseglio-Polatera, 2004. Species traits analysis. STAR deliverable N2 to the European Commission, 148 ppGoogle Scholar
  11. Clarke, R. T. 2000

    Uncertainty in estimates of river quality based on RIVPACS

    Wright, J. F.Sutcliffe, D. W.Furse, M. T. eds. Assessing the Biological Quality of Freshwaters: RIVPACS and Similar TechniquesFreshwater Biological AssociationAmbleside3954
    Google Scholar
  12. Clarke, R. T., Davy-Bowker, J., Sandin, L., Friberg, N., Johnson, R. K., Bis, B. 2006aEstimates and comparisons of the effects of sampling variation using ‘national’ macroinvertebrate sampling protocols on the precision of metrics used to assess ecological statusHydrobiologia566477503Google Scholar
  13. Clarke, R. T., Furse, M. T., Gunn, R. J. M., Winder, J. M., Wright, J. F. 2002Sampling variation in macroinvertebrate data and implications for river quality indicesFreshwater Biology4717351751CrossRefGoogle Scholar
  14. Clarke, R. T., Lorenz, A., Sandin, L., Schmidt-Kloiber, A., Strackbein, J., Kneebone, N. T., Haase, P. 2006bEffects of sampling and sub-sampling variation using the STAR-AQEM sampling protocol on the precision of macroinvertebrate metricsHydrobiologia566441459Google Scholar
  15. Clarke, R. T., Wright, J. F., Furse, M. T. 2003RIVPACS models for predicting the expected macroinvertebrate fauna and assessing the ecological quality of riversEcological Modelling160219233CrossRefGoogle Scholar
  16. Danish Environmental Protection Agency1998Biological Assessment of Watercourse QualityGuidelines, No. 5. – Danish Environmental Protection Agency, Ministry of Environment and EnergyCopenhagenGoogle Scholar
  17. Davies, P. E. 2003

    Development of a national river bioassessment system (AUSRIVAS) in Australia

    Wright, J. F.Sutcliffe, D. W.Furse, M. T. eds. Assessing the Biological Quality of Freshwaters: RIVPACS and Similar TechniquesFreshwater Biological AssociationAmbleside113124
    Google Scholar
  18. Davy-Bowker, J., Clarke, R. T., Johnson, R. K., Kokes, J., Murphy, J. F., Zahrádková, S. 2006A comparison of the European Water Framework Directive physical typology and RIVPACS-type models as alternative methods of establishing reference conditions for benthic macroinvertebratesHydrobiologia56691105Google Scholar
  19. Erba, S., Buffagni, A., Holmes, N., O’Hare, M., Scarlett, P., Stenico, A. 2006Preliminary testing of River Habitat Survey features for the aims of the WFD hydro-morphological assessment: an overview from the STAR ProjectHydrobiologia566281296Google Scholar
  20. European Commission, 2000. Directive of the European Parliament and of the Council 2000/60/EC establishing a framework for Community action in the field of water policy. European Commission PE-CONS 3639/1/00 REV 1, LuxembourgGoogle Scholar
  21. European Commission, 2001. Common implementation strategy for the Water Framework Directive (2000/60/EC). Strategic document as agreed by the Water Directors under Swedish presidency, 2 May 2001. European Commission, 81 ppGoogle Scholar
  22. European Commission, 2002. Water Framework Directive (WFD) Common Implementation Strategy Working Group 2.5. Intercalibration: Towards a guidance on establishment of the intercalibration network and on the process of the intercalibration exercise. European Commission, 50 ppGoogle Scholar
  23. European Commission, 2003a. Water Framework Directive (WFD) Common Implementation Strategy Working Group 2.3 Reference conditions for inland surface waters (REFCOND). Guidance on establishing reference conditions and Ecological Status class boundaries for inland surface waters. Final version, 30 April 2003. European Commission, 86 ppGoogle Scholar
  24. European Commission, 2003b. Water Framework Directive Common Implementation Strategy Working Group 2.7 Monitoring. Guidance on monitoring for the Water Framework Directive. Final version. 23 January 2003. European Commission, 170 ppGoogle Scholar
  25. European Commission, 2003c. Water Framework Directive Common Implementation Strategy Working Group 2.A Ecological Status (ECOSTAT). Overall approach to the classification of Ecological Status and Ecological Potential. European Commission, 86 ppGoogle Scholar
  26. GAY, Cabinet en Environnement, 1994. Indice Biologique Global Normalisé. NF T 90-350. Guide Technique. Agences de l’eau et Ministère de l’Environnement, ParisGoogle Scholar
  27. Friberg, N., Sandin, L., Furse, M. T., Larsen, S. E., Clarke, R. T., Haase, P. 2006Comparison of macroinvertebrate sampling methods in EuropeHydrobiologia566365378Google Scholar
  28. Ghetti, P. E., 1997. Manuale di Applicazione. Indice Biotico Esteso (I. B. E.). I Macroinvertebrati Nell Contro uo Della Qualita Degli Ambienti di Acquae Correnti. – Provinzia Autonoma di Trento, Agenzia Provinciale per la Protezione dell’Ambiente, TrentoGoogle Scholar
  29. Haase, P., Murray-Bligh, J., Lohse, S., Pauls, S., Sundermann, A., Gunn, R., Clarke, R. 2006Assessing the impact errors in sorting and identifying macroinvertebrate samplesHydrobiologia566505521Google Scholar
  30. Hellawell, J. M. 1978The Biological Surveillance of Rivers: A Biological Monitoring HandbookWater Research CentreStevenageGoogle Scholar
  31. Hellawell, J. M. 1986Biological Indicators of Freshwater Pollution and Environmental Management. Pollution Monitoring SeriesElsevier Applied ScienceLondon, New YorkGoogle Scholar
  32. Hering, D., Buffagni, A., Moog, O., Sandin, L., Sommerhäuser, M., Stubauer, I., Feld, C., Johnson, R. K., Pinto, P., Skoulikidis, N., Verdonschot, P. F. M., Zahrádková, S. 2003The development of a system to assess the ecological quality of streams based on macroinvertebrates – design of the sampling programme within the AQEM projectInternationale Revue der gesamten Hydrobiologie88345361CrossRefGoogle Scholar
  33. Hering, D., Feld, C. K., Moog, O., Ofenböck, T. 2006Cook book for the development of a Multimetric-Index for biological condition of aquatic ecosystems: experiences from the European AQEM and STAR projects and related initiativesHydrobiologia566311324Google Scholar
  34. Hering, D., Moog, O., Sandin, L., Verdonschot, P. F. M. 2004aOverview and application of the AQEM assessment systemHydrobiologia516121CrossRefGoogle Scholar
  35. Hering, D., P. F. M. Verdonschot, O. Moog & L. Sandin (eds), 2004b. Integrated assessment of running waters in Europe. Hydrobiologia. 516 ppGoogle Scholar
  36. Holmes, N. T. H., J. R. Newman, S. Chadd, K. J. Rouen, L Sharp & F. H. Dawson, 1999. Mean Trophic Rank: A Users’ Manual. R&D Technical Report No. E38, Environment Agency, BristolGoogle Scholar
  37. Holmes, N. T. H., Whitton, B. A. 1977Macrophytic vegetation of the River Swale, YorkshireFreshwater Biology7545558CrossRefGoogle Scholar
  38. Hughes, R. M. 1995

    Defining acceptable status by comparing with reference conditions

    Davis, W. S. Simon, T. P. eds. Biological Assessment and Criteria. Tools for Water Resource Planning and Decision MakingLewis PublishersBoca Raton, FL3147
    Google Scholar
  39. Illies, J. (ed.), 1978. Limnofauna Europaea, 2nd edn. Gustav Fischer Verlag, Stuttgart, New York; Swets and Zeitlinger B. V., AmsterdamGoogle Scholar
  40. Johnson, R. K., Hering, D., Furse, M. T., Clarke, R. T. 2006aDetection of ecological change using multiple organism groups: metrics and uncertaintyHydrobiologia566115137Google Scholar
  41. Johnson, R. K., Hering, D., Furse, M. T., Verdonschot, P. F. M. 2006bIndicators of ecological change: comparison of the early response of four organism groups to stress gradientsHydrobiologia566139152Google Scholar
  42. Kelly, M. G., Cazaubon, A., Coring, E., Dell’Uomo, A., Ector, L., Goldsmith, B., Guasch, H., Hürlimann, J., Jarlman, A., Kawecka, B., Kwandrans, J., Laugaste, R., Lindstrøm, E.-A., Leitao, M., Marvan, P., Padisák, J., Pipp, E., Prygiel, J., Rott, E., Sabater, S., Dam, H., Vizinet, J. 1998Recommendations for the routine sampling of diatoms for water quality assessments in EuropeJournal of Applied Phycology10215224CrossRefGoogle Scholar
  43. Knoben, R. A. E., C. Roos & M. C. van Oirschot, 1995. Biological assessment methods for watercourses. UN/ECE Task Force on Monitoring and Assessment, 86 ppGoogle Scholar
  44. Kokeš, J., Zahrádková, S., Němejcová, D., Jarkovský, J., Hodovský, J., Soldán, T. 2006The PERLA system in the Czech Republic: a multivariate approach for assessing the ecological status of running watersHydrobiologia566343354Google Scholar
  45. Latvian Standard Ltd., 1999 LVS 240:1999 Water quality – operative evaluation biological quality of small stream by saprobity index of macrozoobenthos community. In Catalogue of Latvian standards, Riga, Latvian Standard Ltd, 1999: Group 13.060, 1(11)–11Google Scholar
  46. Lecointe, C., Coste, M., Prygiel, J. 1993“OMNIDIA” software for taxonomy, calculation of diatom indices and inventories managementHydrobiologia269/270509513CrossRefGoogle Scholar
  47. Lorenz, A., Clarke, R. T. 2006Sample coherence – a field study approach to assess similarity of macroinvertebrate samplesHydrobiologia566461476Google Scholar
  48. Mandl, V. 1992

    Draft EC directive on ecological quality of surface waters

    Newman, P. J.Piavaux, M. A.Sweeting, R. A. eds. River Water Quality. Ecological Assessment and Control. Publication EUR 14606 EN-FRCommission of the European CommunitiesLuxembourg18
    Google Scholar
  49. Mann, R. H. K. 1996Environmental requirements of European non-salmonid fish in riversHydrobiologia323223235CrossRefGoogle Scholar
  50. Metcalfe, J. L. 1989Biological water quality assessment of running waters based on macroinvertebrate communities: history and present status in EuropeEnvironmental Pollution60101139PubMedCrossRefGoogle Scholar
  51. Metcalfe-Smith, J. L. 1994

    Biological water quality assessment of rivers: use of macroinvertebrate communities

    Calow, P.Petts, G. E. eds. The Rivers HandbookBlackwell Scientific PublicationsLondon144170
    Google Scholar
  52. Moore, W. W. 1977Seasonal succession of algae in a eutrophic stream in southern EnglandHydrobiologia53181192CrossRefGoogle Scholar
  53. Murray-Bligh, J. A. D., M. T. Furse, F. H. Jones, R. J. M. Gunn, R. A. Dines & J. F. Wright, 1997. Procedure for collecting and analysing macroinvertebrate samples for RIVPACS. Joint publication by the Institute of Freshwater Ecology and the Environment Agency, 162 ppGoogle Scholar
  54. Noble, R. & I. Cowx, 2002. Development, evaluation & implementation of a standardised fish-based assessment method for the Ecological Status of European rivers – a contribution to the water framework directive (FAME). A report to the European Commission, 100 ppGoogle Scholar
  55. Norris, R. H., 1994. Rapid biological assessment, natural variability and selecting reference sites. Classification of rivers and environmental health indicators. In Uys, M. C. (ed.), Proceedings of a Joint South African/Australian Workshop, Cape Town, South Africa. Water Research Commission, Report No. TT/63/94: 129–166Google Scholar
  56. O’Hare, M. T., Baattrup-Pedersen, A., Nijboer, R., Szoszkiewicz, K., Ferreira, T. 2006Macrophyte communities of European streams with altered physical habitatHydrobiologia566197210Google Scholar
  57. Pinto, P., Morais, M., Ilhéu, M., Sandin, L. 2006Relationships among biological elements (macrophytes, macroinvertebrates and ichyofauna) for different river types across Europe at two different spatial scalesHydrobiologia5667590Google Scholar
  58. Raven, P. J., N. T. H. Holmes, F. H. Dawson, P. J. A. Fox, M. Everard, I. R. Fozzard & K. J. Rouen, 1998. River Habitat Quality – The Physical Character of Rivers and Streams in the UK and Isle of Man. River Habitat Survey Report Number 2. Environment Agency, Bristol: Scottish Environment Protection Agency, Stirling: Environment and Heritage Service, Belfast, 1–84Google Scholar
  59. Reynoldson, T. B., Bailey, R. C., Day, K. E., Norris, R. H. 1995Biological guidelines for freshwater sediment based on BEnthic Assessment of SedimenT (the BEAST) using a multivariate approach for predicting biological stateAustralian Journal of Ecology20198219Google Scholar
  60. Reynoldson, T. B., Day, K. E., Pascoe, T. 2000

    The development of the BEAST: a predictive approach for assessing sediment quality in the Great Lakes

    Wright, J. F.Sutcliffe, D. W.Furse, M. T. eds. Assessing the Biological Quality of Freshwaters: RIVPACS and Similar TechniquesFreshwater Biological AssociationAmbleside165180
    Google Scholar
  61. Rosenberg, D. M., Reynoldson, T. B., Resh, V. H. 2000

    Establishing reference conditions in the Fraser River catchment, British Colombia, Canada, using the BEAST (Benthic Assessment of SedimenT) predictive model

    Wright, J. F.Sutcliffe, D. W.Furse, M. T. eds. Assessing the Biological Quality of Freshwaters: RIVPACS and Similar TechniquesFreshwater Biological AssociationAmbleside181194
    Google Scholar
  62. Schmidt-Kloiber, A., Graf, W., Lorenz, A., Moog, O. 2006The AQEM/STAR taxalist – a pan-European macro-invertebrate ecological database and taxa inventoryHydrobiologia566325342Google Scholar
  63. Seber, G. A. F., Le Cren, E. D. 1967Estimating population parameters from catches large relative to the populationJournal of Animal Ecology36631643CrossRefGoogle Scholar
  64. Sladecek, V. 1973System of water quality from the biological point of viewArchiv für Hydrobiologie Ergebnisse der Limnologie71218Google Scholar
  65. Šporka, F., Vlek, H. E., Bulánková, E., Krno, I. 2006Influence of seasonal variation on bioassessment of streams using macroinvertebratesHydrobiologia566543555Google Scholar
  66. Springe, G., Sandin, L., Briede, A., Skuja, A. 2006Biological quality metrics: their variability and appropriate scale for assessing streamsHydrobiologia566153172Google Scholar
  67. Staniszewski, R., Szoszkiewicz, K., Zbierska, J., Lesny, J., Jusik, S., Clarke, R. T. 2006Assessment of sources of uncertainty in macrophyte surveys and the consequences for river classificationHydrobiologia566235246Google Scholar
  68. Swedish Environmental Protection Agency, 1996. Bottenfauna i sjöars litoral och I vattendrag – tidsserier. [In Swedish: Benthic fauna in lake litoral and running waters – time series]. Swedish EPA monitoring handbook, Fresh waters. [Published digitally at: www.naturvardsverket.se]Google Scholar
  69. Szoszkiewicz, K., Buffagni, A., Davy-Bowker, J., Lesny, J., Chojnicki, B. H., Zbierska, J., Staniszewski, R., Zgola, T. 2006aOccurrence and variability of River Habitat Survey features across Europe and the consequences for data collection and evaluationHydrobiologia566267280Google Scholar
  70. Szoszkiewicz, K., Ferreira, T., Korte, T., Baattrup-Pedersen, A., Davy-Bowker, J., O’Hare, M. 2006bEuropean river plant communities: the importance of organic pollution and the usefulness of existing macrophyte metricsHydrobiologia566211234Google Scholar
  71. Verdonschot, P. F. M. 2006aEvaluation of the use of Water Framework Directive typology descriptors, reference sites and spatial scale in macroinvertebrate stream typologyHydrobiologia5663958Google Scholar
  72. Verdonschot, P. F. M. 2006bData composition and taxonomic resolution in macroinvertebrate stream typologyHydrobiologia5665974Google Scholar
  73. Vlek, H. E., Šporka, F., Krno, I. 2006Influence of macroinvertebrate sample size on bioassessment of streamsHydrobiologia566523542Google Scholar
  74. Winter, J. G., Duthie, H. C. 2000Stream epilithic, epipelic and epiphytic diatoms: habitat fidelity and use in biomonitoringAquatic Ecology34345353CrossRefGoogle Scholar
  75. Wright, J. F., Armitage, P. D., Furse, M. T. 1989Prediction of invertebrate communities using stream measurementsRegulated Rivers: Research and Management4147155Google Scholar
  76. Wright, J. F.Sutcliffe, D. W.Furse, M. T. eds. 2000Assessing the Biological Quality of Freshwaters: RIVPACS and Similar TechniquesFreshwater Biological AssociationAmblesideGoogle Scholar

Copyright information

© Springer 2006

Authors and Affiliations

  • Mike Furse
    • 1
  • Daniel Hering
    • 2
  • Otto Moog
    • 3
  • Piet Verdonschot
    • 4
  • Richard K. Johnson
    • 5
  • Karel Brabec
    • 6
  • Kostas Gritzalis
    • 7
  • Andrea Buffagni
    • 8
  • Paulo Pinto
    • 9
  • Nikolai Friberg
    • 10
  • John Murray-Bligh
    • 11
  • Jiri Kokes
    • 12
  • Renate Alber
    • 13
  • Philippe Usseglio-Polatera
    • 14
  • Peter Haase
    • 15
  • Roger Sweeting
    • 16
  • Barbara Bis
    • 17
  • Krzysztof Szoszkiewicz
    • 18
  • Hanna Soszka
    • 19
  • Gunta Springe
    • 20
  • Ferdinand Sporka
    • 21
  • Il’ja Krno
    • 22
  1. 1.Centre for Ecology and Hydrology, CEH Dorset, Winfrith Technology CentreDorchesterUK
  2. 2.Institute of HydrologyUniversity of Duisburg-EssenEssenGermany
  3. 3.Institute for Hydrobiology and Aquatic Ecosystem ManagementUniversity of Natural Resources and Applied Life Sciences ViennaViennaAustria
  4. 4.Department of Ecology and EnvironmentAlterraWageningenThe Netherlands
  5. 5.Department of Environmental AssessmentSwedish University of Agricultural SciencesUppsalaSweden
  6. 6.Department of Zoology and EcologyMasaryk UniversityBrnoCzech Republic
  7. 7.Hellenic Centre for Marine ResearchInstitute of Inland WatersAnavyssosGreece
  8. 8.CNR-Water Research InstituteBrugherio (Milano)Italy
  9. 9.Centre of Applied EcologyUniversity of EvoraEvoraPortugal
  10. 10.Department of Freshwater EcologyNERI, National Environmental Research InstituteSilkeborgDenmark
  11. 11.South West Region, Manley House, Kestrel WayEnvironment AgencyExeter, DevonUK
  12. 12.Vyzkumny Ustav Vodohospodarsky T.G. MasaykaBrnoCzech Republic
  13. 13.LABBIOLaivesItaly
  14. 14.Centre of Ecotoxicology, Biodiversity and Environmental HealthUniversity of MetzMetzFrance
  15. 15.Senckenbergische Naturforschende GesellschaftBiebergemündGermany
  16. 16.Freshwater Biological AssociationCumbriaUK
  17. 17.Institute of Ecology and Nature Protection, Department of Applied EcologyUniversity of ŁodźŁodźPoland
  18. 18.Department of Ecology and Environmental ProtectionAgricultural University of August CieszkowskiPoznanPoland
  19. 19.Lake Protection LaboratoryInstytut Ochrony ŚrodowiskaWarsawPoland
  20. 20.Institute of BiologyUniversity of LatviaSalaspilsLatvia
  21. 21.Institute of Zoology, Department of HydrobiologySlovak Academy of SciencesBratislavaSlovakia
  22. 22.Faculty of Science, Department of EcologyComenius University BratislavaBratislavaSlovakia

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