Abstract
The assessment of freshwater habitats using benthic macroinvertebrates as a proxy indicator of the general ‘health’ of the freshwater environment has a long and illustrious history. This chapter introduces the means of undertaking such assessments. It outlines how and when to sample, the differing strategies used, depending on the questions to be asked and the analytical effort necessary to answer them. It also provides details of analytical tools used to derive summary information from community and population data. This includes indices demonstrating water quality, flow-condition in riverine environments and conservation status of any freshwater habitat. In addition, computer-based models, used to derive such summary information, are introduced. Such models involve definition of reference state, or the use of artificial intelligence tools utilising probabilistic reasoning or automated pattern recognition. With the aquatic environment increasingly stressed by population expansion, habitat destruction and concomitant global change, the assessment of general ‘health’ of such ecosystems becomes increasingly essential.
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References
Armitage PD, Moss D, Wright JF, Furze MT (1983) The performance of a new biological water quality score system based on macro-invertebrates over a wide range of unpolluted running-water sites. Water Res 17:333–347
Boon PJ, Holmes NTH, Maitland PS, Rowell TA (1996) SERCON: System for evaluating rivers for conservation: Version 1 manual. Scottish Natural Heritage Research, Survey and Monitoring Report No. 61
Chadd R, Extence C (2004) The conservation of freshwater macroinvertebrate populations: A community-based classification scheme. Aquat Conserv Marine Freshwater Ecosyst 14:597–624
Chesters RK (1980) Biological monitoring working party. The 1978 national testing exercise. Department of the Environment, Water Data Unit, Technical Memorandum 19
Davy-Bowker J, Clarke R, Corbin T, Vincent H, Pretty J, Hawczak A, Blackburn J, Murphy J, Jones I (2008) River Invertebrate classification Tool. Final Report Project WFD72c. Edinburgh, SNIFFER
Environment Agency & Ponds Conservation Trust (2002) A guide to monitoring the ecological quality of ponds and canals using PSYM. Ponds Conservation Trust Policy and Research, Oxford
Extence CA, Bates AJ, Forbes WJ, Barham PJ (1987) Biologically based water quality management. Environ Pollut 45:221–236
Extence CA, Balbi DM, Chadd RP (1999) River flow indexing using British benthic macroinvertebrates: A framework for setting hydroecological objectives. Regulated Rivers Res Manage 15:543–574
Foster GN, Eyre MD (1992) Classification and ranking of water beetle communities. Joint Nature Conservation Committee, Peterborough
Hart CW Jr, Fuller SLH (eds) (1974) Pollution ecology of freshwater invertebrates. Academic, New York and London
Hellawell JM (1986) Biological indicators of freshwater pollution and environmental management. Elsevier, London and New York
Hynes HBN (1960) The biology of polluted waters. Liverpool University Press, Liverpool
Killeen IJ, Moorkens EA (2003) Monitoring Desmoulin’s Whorl Snail Vertigo moulinsiana. Conserving Natura 2000 Rivers Monitoring Series No. 6. English Nature, Peterborough
Lancaster J, Briers RA (eds) (2008) Aquatic insects: Challenges to populations. CAB International, Wallingford
Mellanby K (1967) Pesticides and pollution. The New Naturalist, vol 50. Collins, London
O’Connor MA, Walley WJ (2002) River pollution diagnostic system (RPDS) – Computer-based analysis and visualisation for bio-monitoring data. 2nd world water congress: Environmental monitoring, contaminants and pathogens. Water Sci Technol 46:17–23
Paisley MF, Trigg DJ, Walley WJ (2007) Revision and testing of BMWP scores. Final report SNIFFER project WFD72a. Scotland and Northern Ireland Forum for Environmental Research (SNIFFER), Edinburgh
Rosenberg DM, Resh VH (eds) (1993) Freshwater biomonitoring and benthic macroinvertebrates. Chapman and Hall, New York and London
Shannon C, Weaver W (1963) The mathematical theory of communications. University of Illinois Press, Urbana
Southwood TRE, Leston D (1959) Land and water bugs of the British Isles. Frederick Warne and Co., London and New York
Walley WJ, Hawkes HA, Boyd M (1992) Application of Bayesian inference to river water quality surveillance. In: Grierson DE, Rzevski G, Adey RA (eds) Proceedings of the 7th international conference on applications of artificial intelligence in engineering. Elsevier, Amsterdam, pp 1030–1047
Walley WJ, Hawkes HA (1996) A computer-based reappraisal of the Biological Monitoring Working Party scores using data from the 1990 river quality survey of England and Wales. Water Res 30:2086–2094
Walley WJ, Hawkes HA (1997) A computer-based development of the Biological Monitoring Working Party score system incorporating abundance rating, site type and indicator value. Water Res 31:201–210
Wood PJ, Hannah DM, Sadler JP (eds) (2007) Hydroecology and ecohydrology: Past, present and future. Wiley, Chichester
Wright JF, Sutcliffe DW, Furse MT (eds) (2000) Assessing the biological quality of fresh waters: RIVPACS and other techniques. Freshwater Biological Association, Ambleside
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Chadd, R. (2010). Assessment of Aquatic Invertebrates. In: Hurford, C., Schneider, M., Cowx, I. (eds) Conservation Monitoring in Freshwater Habitats. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-9278-7_7
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DOI: https://doi.org/10.1007/978-1-4020-9278-7_7
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