Skip to main content Accessibility help
×
Home

Ecological informatics approach to screening of integrity metrics based on benthic macroinvertebrates in streams

  • Woon-Seok Cho (a1), Young-Seuk Park (a2), Hae-Kyung Park (a3), Hak-Yang Kong (a3) and Tae-Soo Chon (a1)...

Abstract

Benthic macroinvertebrates are considered as a representative taxon that indicates the ecological status of freshwater ecosystems. Numerous indices derived from community data have been proposed to estimate either biological water quality or ecosystem health. In this study, metrics based on benthic macroinvertebrates at the family level were screened using ecological informatics to provide a multi-metric measurement that would be suitable for presenting ecological integrity across different levels of environmental impact. Benthic macroinvertebrates were collected at a total of 720 sample sites from river basins and streams in Korea in 2009. Based on four categories of community status (i.e., diversity, richness, tolerance, and composition), 37 metrics were selected as initial candidates according to the literature. The candidate metrics were evaluated according to parameters including discriminatory power, redundancy, and responsiveness to stressors. Self-organizing map was utilized to assist the screening procedure by providing ordination, clustering, and visualization of metric and environmental data. Six metrics were finally selected as a multi-metric and were compared with conventional indicators for presenting the ecological integrity of streams.

    • Send article to Kindle

      To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

      Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

      Find out more about the Kindle Personal Document Service.

      Ecological informatics approach to screening of integrity metrics based on benthic macroinvertebrates in streams
      Available formats
      ×

      Send article to Dropbox

      To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

      Ecological informatics approach to screening of integrity metrics based on benthic macroinvertebrates in streams
      Available formats
      ×

      Send article to Google Drive

      To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

      Ecological informatics approach to screening of integrity metrics based on benthic macroinvertebrates in streams
      Available formats
      ×

Copyright

Corresponding author

*Corresponding author: tschon@pusan.ac.kr

References

Hide All
[1]Armitage, P.D., Moss, D., Wright, J.F. and Furse, M.T., 1983. The performance of a new biological water quality score system based on macroinvertebrates over a wide range of unpolluted running-water sites. Water Res., 17, 333347.
[2]Barbour, M.T., Stribling, J.B. and Karr, J.R. 1995. The multimetric approach for establishing biocriteria and measuring biological conditions. In: Davis, W.S. and Simon, T.P. (eds.), Biological Assessment and Criteria, Tools for Water Resource Planning and Decision Making, Lewis Publishers, FL.
[3]Barbour, M.T., Gerritsen, J., Griffith, G.E., Frydenborg, R., McCarron, E., White, J.S. and Bastian, M.L., 1996. A framework for biological criteria for Florida streams using benthic macroinvertebrates. J. N. Am. Benthol. Soc., 15, 185211.
[4]Barbour, M.T., Gerritsen, J., Snyder, B.D. and Stribling, J.B., 1999. Rapid bioassessment protocols for use in streams and wadeable rivers: periphyton, benthic macroinvertebrates and fish, Environmental Protection Agency, Washington, DC.
[5]Blocksom, K.A., 2003. A performance comparison of metric scoring methods for a multimetric index for Mid-Atlantic Highlands streams. Environ. Manage., 31, 670682.
[6]Blocksom, K.A., Kurtenbach, J.P., Klemm, D.J., Fulk, F.A. and Cormier, S.M., 2002. Development and evaluation of the Lake Macroinvertebrate Integrity Index (LMII) for New Jersey lakes and reservoirs. Environ. Monit. Assess., 77, 311333.
[7]Böhmer, J., Rawer-Jost, C., Zenker, A., Meier, C., Feld, C.K., Biss, R. and Hering, D., 2004. Assessing streams in Germany with benthic invertebrates: Development of a multimetric invertebrate based assessment system. Limnologica, 34, 416432.
[8]Butcher, J.T., Stewart, P.M. and Simon, T.P., 2003. A benthic community index for streams in the northern lakes and forests ecoregion. Ecol. Indic., 3, 181193.
[9]Carlisle, D.M. and Clements, W.H., 1999. Sensitivity and variability of metrics used in biological assessments of running waters. Environ. Toxicol. Chem., 18, 285291.
[10]Chon, T.-S., Park, Y.-S., Moon, K.H. and Cha, E.Y., 1996. Patternizing communities by using an artificial neural network. Ecol. Model., 90, 6978.
[11]Green, J., Passmore, M. and Childers, H., 2000. A survey of the condition of streams in the primary region of mountaintop mining/valley fill coal mining. Appendix. In: Mountaintop Mining/valley Fills in Appalachia. Final programmatic environmental impact statement, US Environmental Protection Agency, Philadelphia, PA.
[12]Hargett, E.G. and ZumBerge, J.R., 2006. Redevelopment of the Wyoming Stream Integrity Index (WSII) for assessing the biological condition of wadeable streams in Wyoming, Wyoming Department of Environmental Quality, Water Quality Division, Cheyenne, WY.
[13]Hawkes, H., 1979. Invertebrates as indicators of river water quality. In: James, A. and Evision, L. (eds.), Biological Indicators of Water Quality, John Wiley and Sons, Chichester.
[14]Hilsenhoff, W.L., 1987. An improved biotic index of organic stream pollution. Great Lake Entomol., 20, 3140.
[15]Karr, J.R. and Chu, E.W., 1999. Restoring life in running waters: better biological monitoring, Island Press, Washington, DC, 206 p.
[16]Kerans, B.L. and Karr, J.R., 1994. A Benthic Index of Biotic Integrity (B-IBI) for Rivers of the Tennessee Valley. Ecol. Appl., 4, 768785.
[17]Klemm, D.J., Blocksom, K.A., Thoeny, W.T., Fulk, F.A., Herlihy, A.T., Kaufmann, P.R. and Cormier, S.M., 2002. Methods development and use of macroinvertebrates as indicators of ecological conditions for streams in the Mid-Atlantic Highlands Region. Environ. Monit. Assess., 78, 169212.
[18]Klemm, D.J., Blocksom, K.A., Fulk, F.A., Herlihy, A.T., Hughes, R.M., Kaufmann, P.R., Peck, D.V., Stoddard, J.L., Thoeny, W.T. and Griffith, M.B., 2003. Development and evaluation of a macroinvertebrate biotic integrity index (MBII) for regionally assessing Mid-Atlantic Highlands streams. Environ. Manage., 31, 656669.
[19]Lenat, D.R., 1988. Water quality assessment of streams using a qualitative collection method for benthic macroinvertebrates. J. N. Am. Benthol. Soc., 7, 222233.
[20]Lenat, D.R., 1993. A biotic index for the southeastern United States: derivation and list of tolerance values, with criteria for assigning water-quality ratings. J. N. Am. Benthol. Soc., 12, 279290.
[21]McNaughton, S.J., 1967. Relationship among functional properties of California grassland. Nature, 216, 168169.
[22]MOE/NIER, 2008. The survey and evaluation of aquatic ecosystem health in Korea, The Ministry of Environment/National Institute of Environmental Research, Incheon, Korea (in Korean with English summary).
[23]Ode, P.R., Rehn, A.C. and May, J.T., 2005. A quantitative tool for assessing the integrity of southern coastal California streams. Environ. Manage., 35, 493504.
[24]Park, Y.-S., Cereghino, R., Compin, A. and Lek, S., 2003. Applications of artificial neural networks for patterning and predicting aquatic insect species richness in running waters. Ecol. Model., 160, 265280.
[25]Pielou, E.C., 1975. Ecological Diversity, Wiley, New York.
[26]Pond, G.J., Passmore, M.E., Borsuk, F.A., Reynolds, L. and Rose, C.J., 2008. Downstream effects of mountaintop coal mining: comparing biological conditions using family- and genus-level macroinvertebrate bioassessment tools. J. N. Am. Benthol. Soc., 27, 717737.
[27]Purcell, A.H., Bressler, D.W., Paul, M.J., Barbour, M.T., Rankin, E.T., Carter, J.L. and Resh, V.H., 2009. Assessment tools for urban catchments: developing biological indicators based on benthic macroinvertebrates. J. Am. Water Resour. Assoc., 45, 306319.
[28]Resh, V.H., Norris, R.H. and Barbour, M.T., 1995. Design and implementation of rapid assessment approaches for water resource monitoring using benthic macroinvertebrates. Aust. J. Ecol., 20, 108121.
[29]Reynoldson, T.B., Norris, R.H., Resh, V.H., Day, K.E. and Rosenberg, D.M., 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, 833852.
[30]Rosenberg, D.M. and Resh, V., 1993. Freshwater Biomonitoring and Benthic Macroinvertebrates, Chapman and Hall, London, 488 p.
[31]Shannon, C.E. and Weaver, W., 1949. The Mathematical Theory of Communication, University of Illinois Press, Urbana, IL.
[32]Simon, T.P. and Lyons, J., 1995. Application of the index of biotic integrity to evaluate water resource integrity in freshwater ecosystems. In: Davis, W.S. and Simon, T.P. (eds.), Biological Assessment and Criteria: Tools for Water Resource Planning and Decision Making, Lewis Publishers, Chelsea, MI.
[33]Solimini, A.G., Bazzanti, M., Ruggiero, A. and Carchini, G., 2008. Developing a multimetric index of ecological integrity based on macroinvertebrates of mountain ponds in central Italy. Hydrobiologia, 597, 109123.
[34]Song, M.-Y., Hwang, H.-J., Kwak, I.-S., Ji, C.W., Oh, Y.-N., Youn, B.J. and Chon, T.-S., 2007. Self-organizing mapping of benthic macroinvertebrate communities implemented to community assessment and water quality evaluation. Ecol. Model., 203, 1825.
[35]Stoddard, J.L., Herlihy, A.T., Peck, D.V., Hughes, R.M., Whittier, T.R. and Tarquinio, E., 2009. A process for creating multimetric indices for large-scale aquatic surveys. J. N. Am. Benthol. Soc., 27, 878891.
[36]Taowu, M., Qinghui, H., Hai, W., Zijian, W., Chunxia, W. and Shengbiao, H., 2008. Selection of benthic macroinvertebrate-based multimetrics and preliminary establishment of biocriteria for the bioassessment of the water quality of Taihu Lake, China. Acta Ecol. Sin., 28, 11921200.
[37]The Mathworks Inc., 2001. Matlab. Version 6.1, The Mathworks Inc., Massachusetts.
[38]Trigal-Domínguez, C., Fernández-Aláez, C. and García-Criado, F., 2010. Ecological assessment of highly heterogeneous systems: The importance of taxonomic sufficiency. Limnologica, 40, 208214.
[39]Trigal, C., Garcia-Criado, F. and Fernandez-Alaez, C., 2009. Towards a multimetric index for ecological assessment of Mediterranean flatland ponds: the use of macroinvertebrates as bioindicators. Hydrobiologia, 618, 109123.
[40]Vesanto, J., Himberg, J., Alhoniemi, E., Parhankangas, J., Team, S. and Oy, L., 2000. SOM Toolbox for Matlab, Techn. Ber. Helsinki University of Technology.
[41]Waite, I.R., Herlihy, A.T., Larsen, D.P., Urquhart, N.S. and Klemm, D.J., 2004. The effects of macroinvertebrate taxonomic resolution in large landscape bioassessments: an example from the Mid-Atlantic Highlands, USA. Freshwater Biol., 49, 474489.
[42]Walley, W.J. and Hawkes, H.A., 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, 20862094.
[43]Walley, W.J. and Hawkes, H.A., 1997. A computer-based development of the Biological Monitoring Working Party score system incorporating abundance rating, site type and indicator value. Water Res., 31, 201210.
[44]Ward, J.H., 1963. Hierarchical grouping to optimize an objective function. J. Am. Stat. Assoc., 58, 236244.
[45]Whittier, T.R., Hughes, R.M., Stoddard, J.L., Lomnicky, G.A., Peck, D.V. and Herlihy, A.T., 2007. A structured approach to developing indices of biotic integrity: three examples from western USA streams and rivers. Am. Fish. Soc., 136, 718735.
[46]Won, D.H., Jun, T.C., Kwon, S.J., Hwang, S.J., Ahn, K.G. and Lee, J.K., 2006. Development of Korean Saprobic Index using benthic macroinvertebrate and its application to biological stream environment assessment. J. Korean Soc. Water Qual., 22, 768783.
[47]Wright, J.F., Sutcliffe, D.W. and Furse, M.T., 2000. Assessing the biological quality of fresh waters: RIVPACS and other techniques, Freshwater Biological Association, Ambleside, 400 p.
[48]Zurada, J., 1992. Introduction to artificial neural systems, West Publishing Co., NY, 683 p.

Keywords

Ecological informatics approach to screening of integrity metrics based on benthic macroinvertebrates in streams

  • Woon-Seok Cho (a1), Young-Seuk Park (a2), Hae-Kyung Park (a3), Hak-Yang Kong (a3) and Tae-Soo Chon (a1)...

Metrics

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed