Adoption rule whereby tropical African regions rely on non-tropical biomonitoring methods to assess water pollution in their rivers has been hindered by geographical incompatibility due to environmental variations between the regions that affect the capability and reliability of adopted method. Likewise, inclusion of all identified macroinvertebrate assemblages in developing the existing biomonitoring methods (i.e., South African Scoring System (SASS5) and Tanzania Riverine Scoring System (TARISS)) has made them complex taxonomically as their use requires users of greater expertise and much time during taxa identification. Such taxonomic complications and conflicting aspects regarding the adoption or modification of non-tropical biomonitoring methods in developing tropical biomonitoring methods have therefore necessitated the design of this study in order to develop simple and cost-effective tropical African biomonitoring methods, for initial application in Tanzanian rivers. Six pairwise screening criteria were employed to select orders with distinctive potential for inclusion in developing simple and cost-effective biomonitoring method. Only Ephemeroptera, Diptera, Odonata and Trichoptera (EDOT) orders met all six inclusion criteria after showing their ability to discern reference sites from monitoring sites and correlating strongly with environmental variables. Being developed using only four diverse orders with the wider range of occurrences and sensitivity to pollution, the EDOT method will minimize data variability, the need for greater expertise, cost, and time during taxa identification. The novelty of the present approach lies on the simplification of the taxonomic complication that is inherent in existing indices for four decades and modelling application to simulate sensitivity weightings for taxa with unknown sensitivity score ratings.
References
[1]
Umar, D.M., Harding, J.S. and Winterbourn, M.J. (2013) Freshwater Invertebrates of the Mambilla Plateau, Nigeria. Gombe State University and University of Canterbury, Christchurch, 88 p.
[2]
Elias, J.D., Ijumba, J.N. and Mamboya, F.A. (2014) Effectiveness and Compatibility of Non-Tropical Biomonitoring Indices for Assessing Pollution in Tropical Rivers—A Review. International Journal of Ecosystem, 4, 128-134. https://doi.org/10.1155/2014/985389
[3]
Elias, J.D., Ijumba, J.N., Mgaya, Y.D. and Mamboya, F. (2014) Study on Freshwater Macroinvertebrates of Some Tanzanian Rivers as a Basis for Developing Biomonitoring Index for Assessing Pollution in Tropical African Regions. Journal of Ecosystems, 2014, Article ID: 985389. https://doi.org/10.1155/2014/985389
[4]
Chutter, F.M. (1972) An Empirical Biotic Index of the Quality of Water in South African Streams and Rivers. Water Research, 6, 19-30. https://doi.org/10.1016/0043-1354(72)90170-4
[5]
Wright, J.F., Moss, D., Armitage, P.D. and Furse, M.T. (1984) A Preliminary Classification of Running-Water Sites in Great Britain Based on Macroinvertebrate Species and Prediction of Community Type Using Environmental Data. Freshwater Biology, 14, 221-256. https://doi.org/10.1111/j.1365-2427.1984.tb00039.x
[6]
Hawks, H.A. (1997) Origin and Development of the Biological Monitoring Working Party System. Water Research, 32, 964-968. https://doi.org/10.1016/S0043-1354(97)00275-3
[7]
Chutter, F.M. (1998) Research on the Rapid Biological Assessment of Water Quality Impacts in Streams and Rivers. Water Research Commission Report No. 422/1/98. Water Research Commission, Pretoria.
[8]
Barbour, C.D.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; 2nd Edition. EPA 841-B-99-002. U.S. Environmental Protection Agency, Office of Water, Washington DC.
[9]
Baptista, D.F., Buss, D.F., Egler, M., Giovanelli, A., Silveira, M.P. and 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. https://doi.org/10.1007/s10750-006-0286-x
[10]
Jacobsen, D. and Marın, R. (2007) Bolivian Altiplano Streams with Low Richness of Macroinvertebrates and Large Diel Fluctuations in Temperature and Dissolved Oxygen. Aquatic Ecology, 42, 643-656. https://doi.org/10.1007/s10452-007-9127-x
[11]
Day, J.A. (2000) Biomonitoring: Appropriate Technology for the 21st Century. 1st WARFSA/WaterNet Symposium: Sustainable Use of Water Resources, Maputo, 7 p.
[12]
Dickens, C.W.S. and Graham, P.M. (2002) The South African Scoring System (SASS) Version 5 Rapid Bioassessment Method for Rivers. African Journal of Aquatic Science, 27, 1-10. https://doi.org/10.2989/16085914.2002.9626569
[13]
Dallas, H.F., Kennedy, M., Taylor, J., Lowe, S. and Murphy, S. (2010) SAFRASS. South African Rivers Assessment Scheme, WP4. Review Paper. 39 p.
[14]
Palmer, R.W. and Taylor, E.D. (2004) The Namibian Scoring System (NASS) Version 2 Rapid Bioassessment Method for Rivers. African Journal of Aquatic Science, 29, 229-234. https://doi.org/10.2989/16085910409503814
[15]
Dallas, H.F. (2009) Wetland Monitoring Using Aquatic Macroinvertebrates. Technical Report. Report 5/2009 Prepared for the Biokavango Project, Harry Oppenheimer Okavango Research Centre, University of Botswana, The Freshwater Consulting Group, University of Cape Town, Cape Town, 27 p.
[16]
Lowe, S., Dallas, H., Kennedy, M., Taylor, J.C., Gibbins, C., Lang, P., Day, J., Sichingabula, H., Saili, K., Willems, F., Briggs, J.A. and Murphy, K. (2013) The SAFRASS Biomonitoring Scheme: General Aspects, Macrophytes (ZMTR) and Benthic Macroinvertebrates (ZISS) Protocols. Produced for the ACP Science and Technology Programme. 16 p.
[17]
Kaaya, L.T. (2015) Towards a Classification of Tanzanian Rivers: A Bioassessment and Ecological Management Tool. A Case Study of the Pangani, Rufiji and Wami-Ruvu River Basins. African Journal of Aquatic Science, 40, 37-45. https://doi.org/10.2989/16085914.2015.1008970
[18]
Aschalew, L. (2014) Development of Biological Monitoring Systems Using Benthic Invertebrates to Assess the Ecological Status of Central and South-East Highland Rivers of Ethiopia. Unpublished Thesis for Award of PhD Degree at University of Natural Resources and Life Sciences, Vienna, 163 p.
[19]
Boulton, A.J., Boyero, L., Covich, A.P., Dobson, M., Lake, S. and Pearson, R. (2008) Are Tropical Streams Ecologically Different from Temperate Streams? In: Dudgeon, D., Ed., Tropical Stream Ecology, Elsevier Inc., London, 257-284. https://doi.org/10.1016/B978-012088449-0.50011-X
[20]
Pearson, R.G. and Boyero, L. (2009) Gradients in Regional Diversity of Freshwater Taxa. Journal of the North American Benthological Society, 28, 504-514. https://doi.org/10.1899/08-118.1
[21]
Jacobsen, D., Cressa, C., Mathooko, J.M. and Dudgeon, D. (2008) Macroinvertebrates: Composition, Life Histories and Production. In: Dudgeon, D., Ed., Tropical Stream Ecology, Academic Press, Cambridge, 66-96. https://doi.org/10.1016/B978-012088449-0.50006-6
[22]
Masese, F.O., Muchiri, M. and Raburu, P.O. (2010) A Preliminary Benthic Macroinvertebrate Index of Biotic Integrity (B-IBI) for Monitoring the Moiben River, Lake Victoria, Kenya. African Journal of Aquatic Science, 34, 1-14. https://doi.org/10.2989/AJAS.2009.34.1.1.726
[23]
Blakely, T.J., Harding, J.S., Clews, E. and Winterbourn, M.J. (2010) An Illustrated Guide to the Freshwater Macroinvertebrates of Singapore. School of Biological Sciences, University of Canterbury, Christchurch, 74 p.
[24]
Ngupula, G.W. and Kayanda, R. (2010) Benthic Macrofauna Community Composition, Abundance and Distribution in the Tanzania and Uganda Inshore and Offshore Waters of Lake Victoria. African Journal of Aquatic Science, 35, 185-192. https://doi.org/10.2989/16085914.2010.490978
[25]
APHA (2000) Standard Methods for the Analysis of Water and Wastewater. 15th Edition, American Public Health Association and Water Pollution Control Federation, Washington DC, 12-56.
[26]
Wetzel, R.G. and Linkens, G. (2000) Limnological Analyses. Springer (India) Publisher Private Limited, New Delhi, 426 p. https://doi.org/10.1007/978-1-4757-3250-4
[27]
Day, J.A., de Moor, I.J., Stewart, B.A. and Louw, A.E. (2001) Guides to the Freshwater Invertebrates of Southern Africa: Volume 3 Crustacea II—Ostracoda, Copepoda and Branchiura. WRC Report No. TT 148/01. Water Research Commission, Pretoria, 177 p.
[28]
Day, J.A., de Moor, I.J., Stewart, B.A. and Louw, A.E. (2001) Guides to the Freshwater Invertebrates of Southern Africa: Volume 4 Crustacea III—Bathynellacea, Amphipoda, Isopoda, Spelaeogriphea, Tanaidacea and Decapoda. WRC Report No. TT 141/01. Water Research Commission, Pretoria, 126 p.
[29]
Thorn, J.H. and Covich, A.P. (1991) Ecology and Classification of North American Freshwater Invertebrates. Academic Press, San Diego, 1056 p.
[30]
Day, J.A. and De Moor, I.J. (2002) Guides to the Freshwater Invertebrates of Southern Africa: Volume 6 Arachnida and Mollusca—Araneae, Water Mites and Mollusca. WRC Report No. TT 182/02. Water Research Commission, Pretoria, 141 p.
[31]
Day, J.A. and De Moor, I.J. (2002) Guides to the Freshwater Invertebrates of Southern Africa: Volume 5 Non-Arthropods—The Protozoans, Porifera, Cnidaria, Platyhelminthes, Nemertea, Rotifera, Nematoda, Nematomorpha, Gastrotrichia, Bryozoa, Tardigrada, Polychaeta, Oligochaeta and Hirudinea. WRC Report No. TT 167/02. Water Research Commission, Pretoria, 293 p.
[32]
Day, J.A., Harrison, A.D. and de Moor, I.J. (2003) Guides to the Freshwater Invertebrates of Southern Africa: Volume 9 Diptera. WRC Report No. TT 201/02. Water Research Commission, Pretoria, 288 p.
[33]
De Moor, I.J., Day, J.A. and De Moor, F.C. (2003) Guides to the Freshwater Invertebrates of Southern Africa: Volume 7 Insecta I—Ephemeroptera, Odonata and Plecoptera. WRC Report No. TT 207/03. Water Research Commission, Pretoria, 288 p.
[34]
De Moor, I.J., Day, J.A. and De Moor, F.C. (2003) Guides to the Freshwater Invertebrates of Southern Africa: Volume 8 Insecta II—Hemiptera, Megaloptera, Neuroptera, Trichoptera and Lepidoptera. WRC Report No. TT 214/03. Water Research Commission, Pretoria, 209 p.
[35]
Stals, R. and De Moor, I.J. (2007) Guides to the Freshwater Invertebrates of Southern Africa: Volume 7 Insecta I—Ephemeroptera, Odonata and Plecoptera. WRC Report No. TT 320/07, Water Research Commission, Pretoria, 263 p.
[36]
Barbour, M.T. and Gerritsen, J. (1996) Sub Sampling of Benthic Samples: A Defense of the Fixed-Count Method. Journal of the North American Benthological Society, 15, 386-391. https://doi.org/10.2307/1467285
[37]
Gauch, H.G. (1982) Multivariate Analysis in Community Ecology. Cambridge University Press, Cambridge, 307 p. https://doi.org/10.1017/CBO9780511623332
[38]
Ferreira, W.R., Paiva, L.T. and Callisto, M. (2011) Development of a Benthic Multimetric Index for Biomonitoring of a Neotropical Watershed. Brazil Journal of Biology, 71, 15-25. https://doi.org/10.1590/S1519-69842011000100005
[39]
Anderson, M.J., Gorley, R.N. and Clarke, K.R. (2008) PERMANOVA + for PRIMER: Guide to Software and Statistical Methods. The University of Auckland, Plymouth, 214 p.
[40]
Whittier, T.R., Stoddard, J.L., Larsen, D.P. and Herlihy, A.T. (2007) Selecting Reference Sites for Stream Biological Assessments: Best Professional Judgment or Objective Criteria. Journal of the North American Benthological Society, 26, 349-360. https://doi.org/10.1899/0887-3593(2007)26[349:SRSFSB]2.0.CO;2
[41]
Gerber, A. and Gabriel, M.J.M. (2002) Aquatic Invertebrates of South African Rivers. Field Guide. Institute for Water Quality Studies, Vol. I and II, 150 p.
[42]
Aschalew, L. and Moog, O. (2015) A Multimetric Index Based on Benthic Macroinvertebrates for Assessing the Ecological Status of Streams and Rivers in Central and Southeast Highlands of Ethiopia. Hydrobiologia, 751, 229-242. https://doi.org/10.1007/s10750-015-2189-1
[43]
Hornung, J.P. and Rice, C.L. (2003) Odonata and Wetland Quality in Southern Alberta, Canada: A Preliminary Study. Odonata, 32, 119-129.
[44]
Hofmann, T.A. and Mason, C.F. (2005) Habitat Characteristics and the Distribution of Odonata in a Lowland River Catchment in Eastern England. Hydrobiologia, 539, 137-147. https://doi.org/10.1007/s10750-004-3916-1
[45]
Hughes, S.J. (2006) Temporal and Spatial Distribution Patterns of Larval Trichoptera in Madeiran Streams. Hydrobiologia, 553, 27-41. https://doi.org/10.1007/s10750-005-0627-1
[46]
Mereta, S., Boetsa, P., De Meesterc, L. and Goethalsa, P.L.M. (2013) Development of a Multimetric Index Based on Benthic Macroinvertebrates for the Assessment of Natural Wetlands in Southwest Ethiopia. Ecological Indicators, 29, 510-521. https://doi.org/10.1016/j.ecolind.2013.01.026
[47]
Verdonschot, R.C.M., Keizer-Vlek, H.E. and Verdonschot, P.F.M. (2012) Development of a Multimetric Index Based on Macroinvertebrates for Drainage Ditch Networks in Agricultural Areas. Ecological Indicators, 13, 232-242. https://doi.org/10.1016/j.ecolind.2011.06.007
[48]
Kashian, D.R. and Burton, T.M. (2000) A Comparison of Macroinvertebrates of Two Great Lakes Coastal Wetlands: Testing Potential Metrics for an Index of Ecological Integrity. Journal of Great Lakes Research, 26, 460-548. https://doi.org/10.1016/S0380-1330(00)70708-8
[49]
Zamora-Muñoz, C. and Alba-Tercedor, J. (1996) Bioassessment of Organically Polluted Spanish Rivers, Using a Biotic Index and Multivariate Methods. Journal of the North American Benthological Society, 15, 332-352. https://doi.org/10.2307/1467281
[50]
Smolders, A.J.P., Lock, R.A.C, Van der Velde, G., Medina Hoyos, R.I. and Roelofs, J.G.M. (2003) Effects of Mining Activities on Heavy Metal Concentrations in Water, Sediment and Macroinvertebrates in Different Reaches of the Pilcomayo River, South America. Archives of Environmental Contamination and Toxicology, 44, 314-323. https://doi.org/10.1007/s00244-002-2042-1
[51]
Lorenz, A., Hering, D., Feld, C.K. and Rolauffs, P. (2004) A New Method for Assessing the Impact of Hydromorphological Degradation on the Macroinvertebrate Fauna of Five German Stream Types. Hydrobiologia, 516, 107-127. https://doi.org/10.1007/978-94-007-0993-5_7
[52]
Johnson, R.K., Hering, D., Furse, M.T. and Verdonschot, P.F.M. (2006) Indicators of Ecological Change: Comparison of the Early Response of Four Organism Groups to Stress Gradients. Hydrobiologia, 566, 139-152. https://doi.org/10.1007/s10750-006-0100-9
[53]
Sandin, L. and Johnson, R.K. (2000) The Statistical Power of Selected Indicator Metrics Using Macroinvertebrates for Assessing Acidification and Eutrophication of Running Waters. Hydrobiologia, 422-423, 233-243. https://doi.org/10.1007/978-94-011-4164-2_19
[54]
Schmidt-Kloiber, A. and Nijboer, R.C. (2004) The Effect of Taxonomic Resolution on the Assessment of Ecological Water Quality Classes. Hydrobiologia, 516, 269-283. https://doi.org/10.1007/978-94-007-0993-5_16
[55]
Foote, A.L. and Hornung, C.L.R. (2005) Odonates as Biological Indicators of Grazing Effects on Canadian Prairie Wetlands. Ecological Entomology, 30, 273-283. https://doi.org/10.1111/j.0307-6946.2005.00701.x
[56]
Arimoro, F.O. and Muller, W.J. (2010) Mayfly (Insecta: Ephemeroptera) Community Structure as an Indicator of the Ecological Status of a Stream in the Niger Delta Area of Nigeria. Environmental Monitoring and Assessment, 166, 581-594. https://doi.org/10.1007/s10661-009-1025-3
[57]
Houghton, D.C. (2004) Biodiversity of Minnesota Caddisflies (Insecta: Trichoptera): Delineation and Characterization of Regions. Environmental Monitoring and Assessment, 95, 153-181. https://doi.org/10.1023/B:EMAS.0000029890.07995.90
[58]
Shelly, S.Y., Mirza, Z.B. and Bashir, S. (2011) Comparative Ecological Study of Aquatic Macroinvertebrates of Mangla Dam and Chashma Barrage Wetland Areas. Journal of Animal and Plant Science, 21, 340-350.
[59]
Pinto, P., Rosado, J., Morais, M. and Antunes, I. (2004) Assessment Methodology for Southern Siliceous Basins in Portugal. Hydrobiologia, 516, 191-214. https://doi.org/10.1007/978-94-007-0993-5_12