Zambian Invertebrate Scoring System (ZISS): A macroinvertebrate-based biotic index for rapid bioassessment of southern tropical African river systems

References

• Abell R, Thieme M, Revenga C, Bryer M, Kottelat M, Bogutskaya N, et al. 2008. Freshwater ecoregions of the world: A new map of biogeographic units for freshwater biodiversity conservation. BioScience 58: 403–414. doi: 10.1641/B580507
   Web of Science ®Google Scholar
• Alba-Tercedor J, Sánchez-Ortega A. 1988. Un método rápido y simple para evaluar la calidad biológica de las aguas corrientes basado en el de Hellawell (1978). Limnetica 4: 51–56.
   Google Scholar
• APHA 1998. Standard Methods for the Examination of Water and Waste Water. American Public Health Association, New York.
   Google Scholar
• Appleton CC. 2002. Mollusca. In: Guides to freshwater invertebrates of southern Africa Volume 6 Arachnida and Mollusca. (Eds. JA Day, AD Harrison and IJ De Moor). Water Research Commission Report TT182/02, Pretoria, South Africa.
   Google Scholar
• Baptista DF, Buss DF, Egler M, Giovanelli A, Silveira MP, Nessimian 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. doi: 10.1007/s10750-006-0286-x
   Web of Science ®Google Scholar
• Barbour MT, Gerritsen J, Snyder BD, Stribling JB. 1999. Rapid bioassessment protocols for use in streams and wadeable rivers: periphyton, benthic macroinvertebrates and fish, Second Edition. Report EPA 841-B-99-002, US Environmental Protection Agency, Office of Water, Washington DC.
   Google Scholar
• Bere T, Nyamupingidza BB. 2014. Use of biological monitoring tools beyond their country of origin: a case study of the South African Scoring System Version 5 (SASS5). Hydrobiologia 722: 223–232. doi: 10.1007/s10750-013-1702-7
   Web of Science ®Google Scholar
• Bonada N, Dallas HF, Rieradevall M, Prat N, Day JA. 2006. A comparison of rapid bioassessment protocols used in two regions with Mediterranean climates, the Iberian Peninsula and South Africa. Journal of the North American Benthological Society 25: 487–500. doi: 10.1899/0887-3593(2006)25[487:ACORBP]2.0.CO;2
   Web of Science ®Google Scholar
• Brown DS. 1980. Freshwater snails of Africa and their medicinal importance. London: Taylor and Francis Ltd.
   Google Scholar
• Buss DF, Vitorino AS. 2010. Rapid Bioassessment Protocols using benthic macroinvertebrates in Brazil: evaluation of taxonomic sufficiency. Journal of the North American Benthological Society 29: 562–571. doi: 10.1899/09-095.1
   Web of Science ®Google Scholar
• Buss D, Carlisle D, Chon T, Culp J, Harding J, Keizer-Velk H, et al. 2015. Stream biomonitoring using macroinvertebrates around the globe: a comparison of large-scale programs. Environmental Monitoring and Assessment 187: 4131–4152. doi: 10.1007/s10661-014-4132-8
   Web of Science ®Google Scholar
• Camargo JA 1993. Macrobenthic surveys as a valuable tool for assessing freshwater quality in the Iberian Peninsula. Environmental Monitoring and Assessment 24: 71–90. doi: 10.1007/BF00568800
   PubMed Web of Science ®Google Scholar
• Chessman BC. 1995. Rapid assessment of rivers using macroinvertebrates: a procedure based on habitat-specific sampling, family level identification and a biotic index. Australian Journal of Ecology 20: 122–129. doi: 10.1111/j.1442-9993.1995.tb00526.x
   Web of Science ®Google Scholar
• Chessman BC. 2003. New sensitivity grades for Australian river macroinvertebrates. Marine and Freshwater Research 54: 95–103. doi: 10.1071/MF02114
   Web of Science ®Google Scholar
• Chutter FM. 1972. An empirical biotic index of the quality of water in South African streams and rivers. Water Research 6: 19–30. doi: 10.1016/0043-1354(72)90170-4
   Web of Science ®Google Scholar
• Chutter FM. 1998. Research on the rapid biological assessment of water quality impacts in streams and rivers. WRC Report No. 422/1/98. Water Research Commission, Pretoria, South Africa.
   Google Scholar
• Coetzer M. 2002. Culicidae. In: Guides to freshwater invertebrates of southern Africa Volume 9 Diptera. (Eds. JA Day, AD Harrison and IJ De Moor). Water Research Commission Report TT201/02, Pretoria, South Africa.
   Google Scholar
• Cota L, Goulart M, Moreno P, Callisto M. 2002. Rapid assessment of river water quality using an adapted BMWP index: a practical tool to evaluate ecosystem health. Verhandlungen der Internationalen Vereinigung für Theoretische und Angewandte Limnologie 28: 1713–1716.
   Google Scholar
• Crowns JE, Chessman BC, McEvoy PK, Wright IA. 1995. Rapid assessment of rivers using macroinvertebrates: Case studies in the Nepean River and Blue Mountains, NSW. Austral Ecology 20: 130–141. doi: 10.1111/j.1442-9993.1995.tb00527.x
   Google Scholar
• Dallas HF. 1995. An Evaluation of SASS (South African Scoring System) as a Tool for the Rapid Bioassessment of Water Quality. MSc thesis, University of Cape Town, South Africa.
   Google Scholar
• Dallas HF. 1997. A preliminary evaluation of aspects of SASS (South African Scoring System) for the rapid bioassessment of water quality in rivers, with particular reference to the incorporation of SASS in a national biomonitoring programme. South African Journal of Aquatic Science 23: 79–94. doi: 10.1080/10183469.1997.9631389
   Google Scholar
• Dallas HF. 2004a. Spatial variability in macroinvertebrate assemblages: comparing regional and multivariate approaches for classifying reference sites in South Africa. African Journal of Aquatic Science 29: 161–171. doi: 10.2989/16085910409503807
   Google Scholar
• Dallas HF. 2004b. Seasonal variability of macroinvertebrate assemblages in two regions of South Africa: implications for aquatic bioassessment. African Journal of Aquatic Science 29: 173–184. doi: 10.2989/16085910409503808
   Google Scholar
• Dallas HF. 2005. River Health Programme: Site characterisation field-manual and field-data sheets. National Biomonitoring Programme Report Series No 18. Pretoria: Institute for Water Quality Studies, Department of Water Affairs and Forestry.
   Google Scholar
• Dallas HF. 2007. The influence of biotope availability on macroinvertebrate assemblages in South African rivers: implications for aquatic bioassessment. Freshwater Biology 52: 370–380. doi: 10.1111/j.1365-2427.2006.01684.x
   Web of Science ®Google Scholar
• Dallas HF. 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, South Africa.
   Google Scholar
• Dallas HF, Day JA. 2007. Natural variation in macroinvertebrate assemblages and the development of a biological banding system for interpreting bioassessment data – a preliminary evaluation using data from upland sites in the south-western Cape, South Africa. Hydrobiologia 575: 231–244. doi: 10.1007/s10750-006-0374-y
   Web of Science ®Google Scholar
• Dallas HF, Mosepele B. 2007. A preliminary survey and analysis of the spatial distribution of aquatic invertebrates in the Okavango Delta, Botswana. African Journal of Aquatic Science 32(1): 1–11. doi: 10.2989/AJAS.2007.32.1.1.138
   Google Scholar
• Dallas H, Kennedy M, Taylor J, Lowe S, Murphy K. 2010. Review of existing biomonitoring methodologies and appropriateness for adaptation to river quality assessment protocols for use in southern tropical Africa. SAFRASS Deliverable Report to the African, Caribbean and Pacific Group of States ACP Group Science and Technology Programme, Contract No. AFS/2009/219013. University of Cape Town, South Africa.
   Google Scholar
• De Moor F. 2002a. Shortcomings and advantages of using rapid biological assessment techniques for the purpose of characterizing rivers in South Africa. Verhandlungen der Internationalen Vereinigung für Theoretische und Angewandte Limnologie 28: 651–662.
   Google Scholar
• De Moor F. 2002b. Simuliidae. In: Guides to freshwater invertebrates of southern Africa Volume 9 Diptera. (Eds. JA Day, AD Harrison and IJ De Moor). Water Research Commission Report TT201/02, Pretoria, South Africa.
   Google Scholar
• Dickens CWS, Graham PM. 2002. The South African Scoring System (SASS) Version 5: rapid bioassessment method for rivers. African Journal of Aquatic Science 27: 1–10. doi: 10.2989/16085914.2002.9626569
   Google Scholar
• Hartmann A, Moog O, Stubauer I. 2010. “HKH screening”: a field bio-assessment to evaluate the ecological status of streams in the Hindu Kush-Himalayan region. Hydrobiologia 651: 25–37. doi: 10.1007/s10750-010-0288-6
   Web of Science ®Google Scholar
• Hawkes HA. 1997. Origin and Development of the Biological Monitoring Working Party system. Water Research 32: 964–968. doi: 10.1016/S0043-1354(97)00275-3
   Web of Science ®Google Scholar
• Hilsenhoff WL. 1988. Rapid field assessment of organic pollution with a family-level biotic index. Journal of the North American Benthological Society 7: 65–68. doi: 10.2307/1467832
   Google Scholar
• Kaaya LT, Day JA, Dallas HF. 2015. Tanzania River Scoring System (TARISS): a macroinvertebrate based biotic index for rapid bioassessment of rivers. African Journal of Aquatic Science 40: 109–117. doi: 10.2989/16085914.2015.1051941
   Web of Science ®Google Scholar
• Kambole MS 2003. Managing the water quality of the Kafue River, In Physics and Chemistry of the Earth, Parts A/B/C 28: 1105–1109. doi: 10.1016/j.pce.2003.08.031
   Web of Science ®Google Scholar
• Kennedy MP, Murphy KJ, Soulsby C, Lowe S, Gibbins C. 2012. Multiple-scale controls on physical and chemical habitat conditions and their influence on biotic assemblages in Zambian rivers. Proceedings of the British Hydrological Society, 11th National Symposium, Hydrology for a changing world, Dundee 2012, pp 1–6.
   Google Scholar
• Kennedy MP, Lang P, Grimaldo JT, Martins SV, Bruce A, Hastie A, et al. 2015. Environmental drivers of aquatic macrophyte communities in southern tropical African rivers: Zambia as a case study. Aquatic Botany 124: 19–28. doi: 10.1016/j.aquabot.2015.03.002
   Web of Science ®Google Scholar
• Kennedy MP, Lang P, Grimaldo JT, Martins SV, Bruce A, Hastie A, et al. 2016. The Zambian Macrophyte Trophic Ranking scheme, ZMTR: a new biomonitoring protocol to assess the trophic status of tropical southern African rivers. Aquatic Botany 131: 15–27. doi: 10.1016/j.aquabot.2016.01.006
   Web of Science ®Google Scholar
• Kleynhans CJ. 1996. A qualitative procedure for the assessment of the habitat integrity status of the Luvuvhu River (Limpopo system, South Africa). Journal of Aquatic Ecosystem Health, 5: 41–54. doi: 10.1007/BF00691728
   Google Scholar
• Lowe S. 2012. Photographic guide to the aquatic invertebrates of Zambia. SAFRASS Deliverable Report to African, Caribbean and Pacific Group of States ACP Group Science and Technology Program, Contract No. AFS/2009/219013. University of Glasgow. Glasgow, Scotland, 16 p.
   Google Scholar
• Lowe S, Dallas H, Kennedy M, Taylor J, Gibbins C, Lang P, et al. 2012a. The SAFRASS biomonitoring scheme: general aspects, macrophytes ZMTR and benthic macroinvertebrates ZISS protocols. SAFRASS Deliverable Report to African, Caribbean and Pacific Group of States ACP Group Science and Technology Program, Contract No. AFS/2009/219013. University of Glasgow. Glasgow, Scotland, 15 p.
   Google Scholar
• Lowe S, Dallas H, Kennedy M, Taylor J, Gibbins C, Lang P, et al. 2012b. SAFRASS Methodology Manual. SAFRASS Deliverable Report to African, Caribbean and Pacific Group of States ACP Group Science and Technology Program, Contract No. AFS/2009/219013. University of Glasgow. Glasgow, Scotland, 36 p.
   Google Scholar
• Lowe S, Dallas H, Kennedy M, Taylor J, Gibbins C, Lang P, et al. 2013. Assessment of performance of the pilot river biomonitoring scheme. SAFRASS Deliverable Report to the African, Caribbean and Pacific Group of States (ACP Group) Science and Technology Programme, Contract No. AFS/2009/219013. University of Glasgow, Glasgow.
   Google Scholar
• MAFF. 1986. The analysis of agricultural materials (Manual of the analytical methods used by the Agricultural Development and Advisory Service). Ministry of Agriculture, Fisheries and Food/ Agricultural Development and Advisory Service Reference Book 427, 3rd Edn. HMSO, London.
   Google Scholar
• Metzeling L, Chessman B, Hardwick R, Wong V. 2003. Rapid assessment of rivers using macroinvertebrates: the role of experience, and comparisons with quantitative methods. Hydrobiologia 510: 39–52. doi: 10.1023/B:HYDR.0000008500.34301.a0
   Web of Science ®Google Scholar
• Moore IE, Murphy KJ. 2015. An evaluation of alternative macroinvertebrate sampling techniques for use in tropical freshwater biomonitoring schemes. Acta Limnologica Brasiliensia 27: 213–222. doi: 10.1590/S2179-975X8813
   Google Scholar
• Mthimkhulu S, Dallas H, Day J, Hoko Z. 2004. Biological assessment of the state of the water quality in the Mbuluzi River, Swaziland. Proceedings of the IWA Specialist Group Conference on Water and Wastewater Management for Developing Countries, Victoria Falls, Zimbabwe, 28–30 July 2004.
   Google Scholar
• Neal C. 2001. Alkalinity measurements within natural waters, towards a standardised approach. Science of the Total Environment 265: 99–113. doi: 10.1016/S0048-9697(00)00652-5
   PubMed Web of Science ®Google Scholar
• Ntengwe FW. 2006. Pollutant loads and water quality in streams of heavily populated and industrialised towns. Physics and Chemistry of the Earth, Parts A/B/C 31: 832–839. doi: 10.1016/j.pce.2006.08.025
   Web of Science ®Google Scholar
• Ollis DJ, Dallas HF, Esler KJ, Boucher C. 2006. Rapid bioassessment of the ecological integrity of river ecosystems using aquatic macroinvertebrates: review with a focus on South Africa. African Journal of Aquatic Science 31: 205–227. doi: 10.2989/16085910609503892
   Google Scholar
• Palmer RW, De Moor FC. 1998. Annotated records of blackfly (Diptera: Simuliidae) distribution in southern Africa. African Entomology 6: 223–251.
   Web of Science ®Google Scholar
• Palmer RW, Taylor ED. 2004. The Namibian Scoring System (NASS) version 2 rapid bio-assessment method for rivers. African Journal of Aquatic Science 29: 229–234. doi: 10.2989/16085910409503814
   Google Scholar
• Pettersson UT, Ingri J. 2001. The geochemistry of Co and Cu in the Kafue River as it drains the Copperbelt mining area, Zambia. Chemical Geology 177: 399–414. doi: 10.1016/S0009-2541(00)00422-8
   Web of Science ®Google Scholar
• Phiri C. 2000. An assessment of the health of two rivers within Harare, Zimbabwe, on the basis of macroinvertebrate community structure and selected physico-chemical variables. African Journal of Aquatic Science 25: 134–145. doi: 10.2989/160859100780177677
   Google Scholar
• Resh VH, Jackson JK. 1993. Rapid assessment approaches to biomonitoring using benthic macroinvertebrates. In: Rosenberg DM and Resh VH (Eds) Freshwater Biomonitoring and Benthic Macroinvertebrates. Chapman and Hall, New York. pp 195–233.
   Google Scholar
• Rosenberg DM, Resh VH. 1993. Freshwater Biomonitoring and Benthic Macroinvertebrates. Chapman and Hall: London.
   Google Scholar
• Smedley PL. 2001. Groundwater Quality: Zambia. British Geological Survey.
   Google Scholar
• Smith MJ, Kay WR, Edward DHD, Papas PJ, Richardson KSJ, Simpson JC, et al. 1999. AUSRIVAS: using macroinvertebrates to assess ecological condition of rivers in Western Australia. Freshwater Biology 41: 269–282. doi: 10.1046/j.1365-2427.1999.00430.x
   Web of Science ®Google Scholar
• Stark JD. 1993. Performance of the Macroinvertebrate Community Index: effects of sampling method, sample replication, water depth, current velocity and substratum on index values. New Zealand Journal of Marine and Freshwater Research 27: 463–478. doi: 10.1080/00288330.1993.9516588
   Web of Science ®Google Scholar
• Stark JD. 1998. SQMCI: a biotic index for freshwater macroinvertebrate coded-abundance data. New Zealand Journal of Marine and Freshwater Research 32: 55–66. doi: 10.1080/00288330.1998.9516805
   Web of Science ®Google Scholar
• Wright J. 1995. Development and use of a system for predicting the macroinvertebrate fauna in flowing waters. Australian Journal of Ecology 20: 181–197. doi: 10.1111/j.1442-9993.1995.tb00531.x
   Web of Science ®Google Scholar
• Wright JF, Moss D, Armitage PD, Furse MT. 1984. A preliminary classification of running-water sites in Great Britain based on macro-invertebrate species and the prediction of community type using environmental data. Freshwater Biology 14: 221–256. doi: 10.1111/j.1365-2427.1984.tb00039.x
   Web of Science ®Google Scholar
• Wright J, Furse M, Moss D. 1998 River classification using invertebrates: RIVPACS applications. Aquatic Conservation: Marine and Freshwater Ecosystems 8: 617–631. doi: 10.1002/(SICI)1099-0755(199807/08)8:4<617::AID-AQC255>3.0.CO;2-#
   Web of Science ®Google Scholar