Towards a multimetric index for the assessment of Dutch streams using benthic macroinvertebrates

Hydrobiologia

Volumn 516, Issue 1-3, 2004, Pages 173-189

  Vlek, Hanneke E ^a   Verdonschot, Piet F M ^a   Nijboer, Rebi C ^a  

^a WAGENINGEN UNIVERSITY   (Netherlands)

Author keywords

AQEM; Assessment; Macroinvertebrates; Multimetric index; Multivariate analysis; Streams; The Netherlands

Indexed keywords

CALIBRATION; DATA REDUCTION;

MACROINVERTEBRATES; MULTIMETRIC INDEX;

ECOLOGY;

ASSESSMENT METHOD; INDEX METHOD; MACROINVERTEBRATE; STREAM; WATER QUALITY;

BENELUX; EURASIA; EUROPE; NETHERLANDS; WESTERN EUROPE;

EID: 3442882635     PISSN: 00188158     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:HYDR.0000025265.36836.e1     Document Type: Article

References (49)

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 2002.
2. Bailey, R. C., M. G. Kennedy, M. Z. Dervish & R. M. Taylor, 1998. Biological assessment of freshwater ecosystems using a reference condition approach: comparing predicted and actual benthic invertebrate communities in Yukon streams. Freshwat. Biol. 39: 765-774.
3. Barbour, M. T., J. Gerritsen, G. E. Griffith, R. Frydenborg, E. McCarron, J. S. White & M. L. Bastian, 1996. A framework for biological criteria for Florida streams using benthic macroinvertebrates. J. N. Am. Benthol. Soc. 15: 185-211.
4. Blocksom, K. A., J. P. Kurtenbach, D. J. Klemm, F. A. Fulk & S. M. Cormier, 2000. Development and evaluation of the lake macroinvertebrate integrity index (LMII) for New Jersey lakes and resevoirs. Envir. Monit. Assess 77: 311-333.
5. Brabec, K., S. Zahrádková, D. Němejcová, P. Pařil, J. Kokeš & J. Jarkovsky̌, 2004. Assessment of organic pollution effect considering differences between lotic and lentic stream habitats. Hydrobiologia 516: 331-346.
6. Buffagni, A., S. Erba, M. Cazzola & J. L. Kemp, 2004. The AQEM multimetric system for the southern Italian Apennines: assessing the impact of water quality and habitat degradation on pool macroinvertebrates in Mediterranean rivers. Hydrobiologia 516: 313-329.
7. Conquest, L. L., S. C. Ralph & R. J. Naiman, 1994. Implementation of Large-Scale Stream Monitoring Efforts: Sampling Design and Data Analysis Issues. In Loeb, S. L. & A. Spacie (eds), Biological Monitoring of Aquatic Systems. CRC Press LLC, Boca Raton, Florida.
8. DeShon, J. E, 1995. Development and application of the invertebrate community index (ICI). In Davis, W. S. & T. P. Simon (eds), Biological Assessment and Criteria: Tools for Water Resource Planning and Decision Making. Lewis Publishers, Ann Arbor, Michigan.
9. European Commission, 2000. Directive 2000/60/EC OF THE EUROPEAN PARLIAMENT AND COUNCIL establishing a framework for Community action in the field of water policy. Official J. Eur. Commun. L327: 1-72.
10. Fore, L. S., J. R. Karr & L. L. Conquest, 1994. Statistical Properties of an Index of Biological Integrity Used to Evaluate Water Resources. Can. J. Fish. aquat. Sci. 51: 1077-1087.
11. Fore, L. S., J. R. Karr & R. W. Wisseman, 1996. Assessing invertebrate responses to human activities: evaluating alternative approaches. J. N. Am. Benthol. Soc. 15: 212-231.
12. Hawkes, H. A., 1979. Invertebrates as indicators of river water quality. In James, A. & L. Evison (eds), Biological Indicators of Water Quality. John Wiley, Chichester.
13. Hellawell, J. M., 1986. Biological indicators of Freshwater Pollution and Environmental Management. Elsevier Applied Science, London.
14. Hering, D., O. Moog, L. Sandin & P. F. M. Verdonschot, 2004. Overview and application of the AQEM assessment system. Hydrobiologia 516: 1-20.
15. Intergovernmental Task Force on Monitoring Water Quality, 1993. The Multimetric Approach for describing ecological condition. EPA, Position Paper No. 2.
16. Karr, J. R., 1981. Assessment of biotic integrity using fish communities. Fisheries 6: 21-27.
17. Karr, J. R., 1999. Defining and measuring river health. Freshwat. Biol. 41: 221-234.
18. Karr, J. R. & E. W. Chu, 1999. Restoring Life in Running Waters: Better Biological Monitoring. Island Press, Washington, DC.
19. Karr, J. R. & E. W. Chu, 2000. Sustaining living rivers. Hydrobiologia 422/423: 1-14.
20. Kolkwitz, R. & M. Marsson, 1909. Ökologie der tierischen Saprobien. Beiträge zur Lehre von der biologischen Gewä sserbeurteilung. Int. Rev. Hydrobiol. 2: 126-152.
21. Liebmann, H., 1951. The biological community of Sphaerotilus floes and the physio-chemical basis of their formation. Vom Wasser 20: 24.
22. Maxted, J. R., M. T. Barbour, J. Gerritsen, V. Poretti, N. Primrose, A. Silvia, D. Penrose & R. Renfrow, 2000. Assessment framework for mid-Atlantic coastal plain streams using benthic macroinvertebrates. J. N. Am. Benthol. Soc. 19: 128-144.
23. Milner, A. M. & M. W. Oswood, 2000. Urbanization gradients in streams of Anchorage, Alaska: a comparison of multivariate and multimetric approaches to classification. Hydrobiologia 422/423: 209-223.
24. Moller Pillot, H. K. M., 1971. Faunistische beoordeling van de verontreiniging in laaglandbeken. Proefschrift, Tilburg, The Netherlands, 286 pp.
25. Ofenböck, T., O. Moog, J. Gerritsen & M. Barbour, 2004. A stressor specific multimetric approach for monitoring running waters in Austria using benthic macro-invertebrates. Hydrobiologia 516: 251-268.
26. Ohio Enviromental Protection Agency, 1987. Biological Criteria for the Protection of Aquatic Life: Volume I-III. Ohio EPA, Division of Water Quality Monitoring and Assessment, Surface Water Section, Columbus, Ohio.
27. Preston, F. W., 1962. The canonical distribution of commonness and rarity: part 1. Ecology 43: 185-215.
28. Resh, V. H., D. M. Rosenberg & T. B. Reynoldson, 2000. Selection of benthic macroinvertebrate metrics for monitoring water quality of the Fraser River, British Columbia: implications for both multimetric approaches and multivariate models. In Wright, J. F., W. Sutcliffe & M. Furse (eds), Assessing the Biological Quality of Fresh Waters: RIVPACS and Other Techniques. Freshwater Biological Association, Cumbria, U.K.
29. Reynoldson, T. B., R. H. Norris, V. H. Resh, K. E. Day & D. M. Rosenberg, 1997. The reference condition: a comparison of multimetric and multivariate approaches to assess water-quality impairment using benthic macroinvertebrates. J. N. Am. Benthol. Soc. 16: 833-852.
30. Rosenberg, D. M. & V. H. Resh (eds), 1993. Freshwater Biomonitoring and Benthic Macroinvertebrates. Chapman and Hall, London, 461 pp.
31. Roth, N. E., M. T. Southerland, J. C. Chaillou, J. H. Volstad, S. B. Weisberg, H. T. Wilson, D. G. Heimbuch & J. C. Seibel, 1997. Maryland biological stream survey: ecological status of non-tidal streams in six basins sampled in 1995. Report no. CBWP-MANTA-EA-97-2. Maryland Department of Natural Resources, Annapolis, Maryland.
32. Royer, T, V., C. T. Robinson & G. W. Minshall, 2001. Development of Macroinvertebrate-Based Index for Bioassessment of Idaho Rivers. Env. Manag. 27: 627-636.
33. Sandin, L., J. Dahl & R. K. Johnson, 2004. Assessing acid stress in Swedish boreal and alpine streams using benthic macroinvertebrates. Hydrobiologia 516: 129-148.
34. Sládeček, V., 1965. The future of the saprobity system. Hydrobiologia 25: 518-537.
35. Sládeček, V., 1973. System of water quality from the biological point of view. Arch. f. Hydrobiol. Beih. Ergebnisse Limnol. 7: 1-218.
36. Sørensen, T., 1948. A method of establishing groups of equal amplitude in plant sociology based on similarity of species content and its application to analyses of the vegetation on Danish commons. Biol. Skr. 5: 1-34.
37. Stichting Toegepast Onderzoek Waterbeheer, 1992. Ecologische beoordeling en beheer van oppervlaktewater: Beoordelingssysteem voor stromende wateren op basis van macrofauna. STOWA, Utrecht, The Netherlands, 58 pp.
38. Wright, J. F., D. Moss, P. D. Armitage & M. T. Furse, 1984. A preliminary classification of running-water sites in Great Britain based on macroinvertebrate species and the prediction of community type using environmental data. Freshwat. Biol. 14: 221-256.
39. Ter Braak, C. J. R, 1987. CANOCO - A FORTRAN program for canonical community ordination by [partial] [detrended] [canonical] correspondene analysis, principal component analysis and redundancy analysis (version 2.1). TNO Institute of Applied Computer Science, Wageningen, The Netherlands, 95 pp.
40. Ter Braak, C. J. F. ter & P. Šmilauer, 1998. CANOCO Reference Manual and User's Guide to Canoco for Windows: Software for Canonical Community Ordination (version 4). Microcomputer Power, Ithaca, NY, U.S.A., 352 pp.
41. Thome, R. J. & W. P. Williams, 1997. The response of benthic macroinvertebrates to pollution in developing countries: a multimetric system of bioassessment. Freshwat. Biol. 37: 671-686.
42. Tolkamp, H. H. & J. J. P. Gardeniers. 1971. Hydrobiological survey of lowland streams. PhD Thesis, Standaard Boekhandel, Tilburg, The Netherlands, 286 pp.
43. Tuffery, G. & J. Verneaux, 1968. Méthode de détermination de la qualité biologique des eaux courantes. Exploitation codifiée des inventaires de fauna du fond. Ministère de l'Agriculture, France, 23 pp.
44. Van Tongeren, O., 1986. FLEXCLUS, an interactive flexible cluster program. Acta bot.. Neerl. 35: 137-142.
45. Van Tongeren, O. (s.a.). Programma ASSOCIA: Gebruikershandleiding en voorwaarden.
46. Verdonschot, P. F. M., 1990. Ecological characterisation of surface waters in the province of Overijssel (The Netherlands). PhD. dissertation. Institute for Forestry and Nature Research, Wageningen, The Netherlands, 255 pp.
47. Verdonschot, P. F. M. & R. C. Nijboer, 2000. Typology of macrofaunal assemblages applied to water and nature management: a Dutch approach. In Wright, J. F., W. Sutcliffe & M. Furse (eds), Assessing the biological quality of fresh waters: RIVPACS and other techniques. Freshwater Biological Association, Cumbria, U.K.
48. Weigel, B. M., 2003. Development of stream macroinvertebrate models that predict watershed and local stressors in Wisconsin. J. N. Am. Benthol. Soc. 22: 123-142.
49. Woodiwiss, F. S., 1964. The biological system of stream classification used by the Trent River Board. Chem. Industry 11: 443-447.