Statistical analysis of macroinvertebrate assemblage structure in relation to river-health assessment of an urban river, Eastern Cape, South Africa
Keywords:
biomonitoring, Bloukrans River, pollution, multimetric, multivariate, South African Scoring System version 5, water qualityAbstract
Urban rivers in developing countries, including South Africa, are increasingly being impacted by human activities. The Bloukrans and Palmiet Rivers, where the current study was undertaken, are no exception. The Bloukrans River, the main object of this study, was impacted by wastewater effluent discharges and run-off from informal settlements and agricultural activities. The present study was aimed at evaluating the ecological health of the Bloukrans River using macroinvetebrate-based biomonitoring approaches, including the biotic index (i.e. the South African Scoring System version 5), multimetric and multivariate analyses of the assemblage structure. 18 metrics were selected and their potential for discriminating between the control and impaired sites evaluated. Macroinvertebrates were sampled bi-monthly (April – August 2013) at one control site (i.e. Site 1) in the Palmiet River and four impaired sites (i.e. Sites 2, 3, 4 and 5) in the Bloukrans River. The Scoring index indicated that the river health condition at the control site was good, whereas apart from Site 5, conditions at Sites 2, 3 and 4 were either poor or critically modified. Twelve metrics discriminated between Site 1 and the four impaired sites. Canonical correspondence analysis indicated that dissolved oxygen, electrical conductivity, nutrients and turbidity exerted the greatest influenced on the assemblage structure. Overall, the study indicated that pollution in the Bloukrans River had significant impact on the river health, influencing metrics in the diversity, composition and richness categories. The 12 metrics that proved sensitive to deteriorating water quality, enabling the discrimination of the control site from the impacted sites, could be used with the Scoring index to assess river health in the Bloukrans River. However, although using metrics in addition to the Scoring index provided greater understanding, where analytical resources are limited the summary biotic Scoring index can provide an acceptable rapid indication of river health.
References
American Public Health Association, 1992.
Standard methods for the examination of water and waste water
. 18th Ed. Washington DC, USA.
Aschalew, L., Moog, O., 2015. Benthic macroinvertebrates based new biotic score “ETHbios” for assessing ecological conditions of highland streams and rivers in Ethiopia. Limnologica 52, 11–19.
Baptista, D.F., Bus, D.F., Egler, M., Giovanelli, A., Silveira, M.P., Nessimian, J.L., 2007. A multimetric index based on benthic macroinvertebrates for evaluation of Atlantic Forest streams at Rio de Janeiro State, Brazil. Hydrobiologia 575, 83–94.
Bonada, N., Prat, N., Resh, V.H., Statzner, B., 2006. Development in aquatic insect biomonitoring: A comparative analysis of recent approaches. Annu. Rev. Entomol. 51, 495–523.
Chadzingwa, K., Lunderstedt, K.E., Mabutyana, A., Theron, N., Walker, J.R., 2011. An analysis of the sustainability of storm and wastewater management in the city of Grahamstown. State of Environment Report. Grahamstown, South Africa.
CSIR., 2010. A CSIR perspective on water in South Africa. CSIR Report No: CSIR /NRE /PW/IR/0012/A, Council for Scientific and Industrial Research, Pretoria, South Africa.
Dallas, H.F., 2007. River health programme: South African scoring system (SASS) data interpretation guidelines. Institute of Natural Resources and Department of Water Affairs and Forestry, Pretoria. Available: http://safrass.com/reports/SASS%20Interpretation%20Guidelines.pdf Accessed: 18 October, 2010.
Dallas, H.F., Day, J.A., 2004. The effect of water quality variables on aquatic ecosystems – A review. WRC Report No. TT 22/04, Water Research Commission, Pretoria, South Africa.
De Villiers, S., Thiart, C., 2007. The nutrient status of South African rivers: concentrations, trends and fluxes from the 1970s to 2005. S. Afr. J. Sci. 103, 343–349.
Dickens, C.W.S., Graham, P.M., 2002. The South Africa Scoring System (SASS) version 5 rapid bioassessment method for rivers. Afri. J. Aquat. Sci. 27, 1–10.
Gerber, A., Gabriel, M.J.M., 2002.
Aquatic invertebrates of South African Rivers
. Institute for Water Quality Studies IWQS, Department of Water Affairs and Forestry, Pretoria, South Africa.
Mafuta, C., Formo, R.K., Nellemann, C., Li, F., 2011. Green Hills, Blue Cities: An Ecosystems Approach to Water Resources Management for African Cities. A Rapid Response Assessment. United Nations Environment Programme, GRID-Arendal.
Masese, F.O., Omokoto, J.O., Nyakeya, K., 2013. Biomonitoring as a prerequisite for sustainable water resources: a review of current status, opportunities and challenges to scaling up in East Africa. Ecohydrol. Hydrobiol. 13, 173–191.
Mereta, S.T., Boets, P., De Meester, L., Goethals, P.L.M., 2013. Development of a multimetric index based on benthic macroinvertebrates for the assessment of natural wetlands in Soutwest Ethiopia. Ecol. Indic. 29, 510–521.
Moya, N., Hughes, R.M., Domínguez, E., Gibon, F., Goitia, E., Oberdorff, T., 2011. Macroinvertebrate-based multimetric predictive models for evaluating the human impact on biotic condition of Bolivian streams. Ecol. Indic. 11, 840–847.
Oberholster, P.J., Botha, A.M., Cloete, T.E., 2008. Biological and chemical evaluation of sewage water pollution in the Rietvlei nature reserve Wetland area, South Africa. Environ. Pollut. 156, 184–192.
Odume, O.N., 2011. Application of macroinvertebrate based biomonitoring approaches to assess anthropogenic impacts in the Swartkops River, South Africa. MSc thesis, Rhodes University, Grahamstown, South Africa.
Odume, O.N., Muller, W.J., Arimoro, F.O., Palmer, C.G., 2012. The impact of water quality deterioration on macroinvretebrate communities in Swartkops River, South Africa: a multimetric approach. Afri. J. Aquat. Sci. 37, 191–200.
Ondrus, M.G., 1996.
Laboratory experiments in environmental chemistry
. 2nd Edition. Wuerz Publishing Ltd. Winniperg, Canada.
Pisces conservation LTD., 2000. ECOM: Environment Community Analysis, CAP: Community Analysis Package, SDR: Species Diversity and Richness, user manual.
Poikane, S., Johnson, R.K., Sandin, L., Schartau, A.K., Solimini, A.G., Urbanic, G., Arbaciauskas, K., Aroviita, J., Gabriels, W., Miler, O., Pusch, M.T., Timm, H., Bohmer, J., 2016. Benthic macroinvertebrate in lake ecological assessment: a review of methods, intercalibration and practical recommendations. Sci. Total Environ. 543, 123–134.
Statzner, B., Bêche, L., 2010. Can biological invertebrate traits resolve effects of multiple stressors on running water ecosystems? Freshwater Biol. 55, 80–199.
Ter Braak, C.J.F., 1995. Ordination. In: R.H.J. Jongman, C.J.F. Ter Braak, O.F.R. Van Tongeren, (Eds.).
Data analysis in community and landscape ecology
. Cambridge University Press, Cambridge, UK.
Ter Braak, C.J.F., Verdonschot, F.M., 1995. Canonical correspondence analysis and related multivariate methods in aquatic ecology. Aquat. Sci. 57, 256–289.
Vörösmarty, C.J., Mcintyre, P.B., Gessner, M.O., Dudgeon, D., Prusevich, A., Green, P., Glidden, S., Bunn, S.E., Sullivan, C.A., Reidy Liermann, C., Davies, P.M., 2010. Global threats to human water security and river biodiversity. Nature 467, 555–561.
Published
Issue
Section
License
Manuscripts must be original. They must not be published or be under consideration for publication elsewhere, in whole or in part. It is required that the lead author of accepted papers complete and sign the MSU Press AEHM Author Publishing Agreement and provide it to the publisher upon acceptance.