The contribution and value of the trait-based approach to water resource protection

References

• Akamagwuna FC, Odume ON. 2020. Ephemeroptera, Plecoptera and Trichoptera (EPT) functional feeding group responses to fine grain sediment stress in a river in the Eastern Cape, South Africa. Environmental Monitoring and Assessment 192: 214. https://doi.org/10.1007/s10661-020-8187-4.
   PubMed Web of Science ®Google Scholar
• Akamagwuna FC, Mensah PK, Nnadozie CF, Odume ON. 2019 Trait-based responses of Ephemeroptera, Plecoptera, and Trichoptera to sediment stress in the Tsitsa River and its tributaries, Eastern Cape, South Africa. River Research and Applications 35: 999–1012. doi: 10.1002/rra.3458
   Web of Science ®Google Scholar
• Beketov MA, Foit K, Biggs JP, Sacchi A, Schäfer RB, Schriever CA, Liess M. 2008. Freshwater biological indicators of pesticide contamination – an adaptation of the SPEAR approach for the UK. Science Report (SC030189/SR4), Environmental Agency Bristol, United Kingdom.
   Google Scholar
• Beketov MA, Foit K, Schäfer RB, Schriever CA, Sacchi A, Capri E, Biggs J, Wells C, Liess M. 2009. SPEAR indicates pesticide effects in streams – comparative use of species- and family-level biomonitoring data. Environmental Pollution 157: 1841–1848. https://doi.org/10.1016/j.envpol.2009.01.021.
   PubMed Web of Science ®Google Scholar
• Bonada N, Prat N, Resh VH, Statzner B. 2006. Development in aquatic insect biomonitoring: A comparative analysis of recent approaches. Annual Review of Entomology 51: 495–523. https://doi.org/10.1146/annurev.ento.51.110104.151124.
   PubMed Web of Science ®Google Scholar
• Bray JP, O’Reilly-Nugent A, King GKK, Kaserzon S, Nichols SJ, Nally RM, Thompson RM, Kefford BJ. 2021. Can SPEcies at risk of pesticide (SPEAR) indices detect effect of target stressors among multiple interacting stressors? The Science of the Total Environment 763: 142997. https://doi.org/10.1016/j.scitotenv.2020.142997.
   PubMed Web of Science ®Google Scholar
• Cadotte MW, Tucker CM. 2017. Should environmental filtering be abandoned? Trends in Ecology & Evolution 32: 429–437. https://doi.org/10.1016/j.tree.2017.03.004.
   PubMed Web of Science ®Google Scholar
• Culp JM, Armanini DG, Dunbar MJ, Orlofske JM, Poff NL, Pollard AI, Yates AG, Hose GC. 2011. Incorporating traits in aquatic biomonitoring to enhance causal diagnosis and prediction. Integrated Environmental Assessment and Management 7: 187–197. https://doi.org/10.1002/ieam.128.
   PubMedGoogle 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. https://doi.org/10.2989/16085914.2002.9626569.
   Google Scholar
• Dolédec S, Statzner B. 2008. Invertebrate traits for the biomonitoring of large European rivers: an assessment of specific types of human impact. Freshwater Biology 53: 617–634. https://doi.org/10.1111/j.1365-2427.2007.01924.x.
   Web of Science ®Google Scholar
• DWA – Department of Water Affairs. 2013. National water resource strategy. Second edition. Department of Water Affairs, Pretoria, South Africa.
   Google Scholar
• DWS – Department of Water and Sanitation. 2016. Classes of water resources and resource quality objectives for the catchments of the Inkomati. Government Gazette No. 40531. https://cer.org.za/wp-content/uploads/1999/12/Inkomati.pdf [Accessed: 9 April 2022].
   Google Scholar
• Edegbene OA, Arimoro FO, Odume ON. 2020. Exploring the distribution patterns of macroinvertebrate signature traits and ecological preferences and their responses to urban and agricultural pollution in selected rivers in the Niger Delta ecoregion, Nigeria. Aquatic Ecology 54: 553–573. https://doi.org/10.1007/s10452-020-09759-9.
   Web of Science ®Google Scholar
• Feio MJ, Dolédec S. 2012. Integration of invertebrate traits into predictive models for indirect assessment of stream functional integrity: a case study in Portugal. Ecological Indicators 15: 236–247. https://doi.org/10.1016/j.ecolind.2011.09.039.
   Web of Science ®Google Scholar
• Gayraud S, Statzner B, Bady P, Haybachp A, Schöll F, Usseglio-Polatera P, Bacchi M. 2003. Invertebrate traits for the biomonitoring of large European rivers: an initial assessment of alternative metrics. Freshwater Biology 48: 2045–2064. https://doi.org/10.1046/j.1365-2427.2003.01139.x.
   Web of Science ®Google Scholar
• Hamilton AT, Schafer RB, Pyne ML, Chessman B, Kakouei K, Boersma K, Verdonschot PFM, Verdonschot RCM, Mims M, Khamis K, et al. 2020. Limitations of trait-based approaches for stressor assessment: the case of freshwater invertebrates and climate drivers. Global Change Biology 26: 364–379. https://doi.org/10.1111/gcb.14846.
   PubMed Web of Science ®Google Scholar
• Hooper DU, Chapin FS, Ewel JJ, Hector A, Inchausti P, Lavorel S, Lawton JH, Lodge DM, Loreau M, Naeem S, et al. 2005. Effects of biodiversity on ecosystem functioning: a consensus of current knowledge. Ecological Monographs 75: 3–35. https://doi.org/10.1890/04-0922.
   Web of Science ®Google Scholar
• Hui C, McGeoch MA. 2006. Evolution of body size, range size, and food composition in a predator-prey meta-population. Ecological Complexity 3: 148–159. https://doi.org/10.1016/j.ecocom.2005.12.003.
   Web of Science ®Google Scholar
• Kearney M, Jusup M, McGeoch MA, Kooijman SALM, Chown SL. 2021. Where do functional traits come from? The role of theory and models. Functional Ecology 35: 1385–1396. https://doi.org/10.1111/1365-2435.13829.
   Web of Science ®Google Scholar
• Kefford BJ, Botwe PK, Brooks AJ, Kunz S, Marchant R, Maxwell S, Metzeling L, Schafer RB, Thompson RM. 2020. An integrated database of stream macroinvertebrate traits for Australia: concept and application. Ecological Indicators 114: 106280. https://doi.org/10.1016/j.ecolind.2020.106280.
   Web of Science ®Google Scholar
• Kefford BJ, Schfer RB, Metzeling L. 2012. Risk assessment of salinity and turbidity in Victoria (Australia) to stream insect community structure does not always protect functional traits. The Science of the Total Environment 415: 61 68. https://doi.org/10.1016/j.scitotenv.2011.05.056.
   Google Scholar
• Kneitel JM, Chase JM. 2004. Trade-offs in community ecology: linking spatial scales and species coexistence. Ecology Letters 7: 69–80. https://doi.org/10.1046/j.1461-0248.2003.00551.x.
   Web of Science ®Google Scholar
• Libala N, Palmer CG, Odume ON. 2019. Using a trait-based approach for assessing the vulnerability and resilience of hillslope seep wetland vegetation cover to disturbances in the Tsitsa River catchment, Eastern Cape, South Africa. Ecology and Evolution 10: 277–291. https://doi.org/10.1002/ece3.5893.
   PubMed Web of Science ®Google Scholar
• Liess M, Von der Ohe PC. 2005. Analysing effects of pesticides on invertebrate communities in streams. Environmental Toxicology and Chemistry 24: 954–965. https://doi.org/10.1897/03-652.1.
   PubMed Web of Science ®Google Scholar
• Liess M, von der Ohe PC, Schriever CA, Schäfer RB, Beketov MA. 2008. SPEAR database. Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany. http://www.ufz.de/index.php?en=2138. [Accessed: 18 September 2011].
   Google Scholar
• Masese FO. Omokoto JO, 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. Ecohydrology & Hydrobiology 13: 173–191. https://doi.org/10.1016/j.ecohyd.2013.06.004.
   Google Scholar
• Matomela NH, Chakona A, Kadye WT. 2021. Comparative assessment of macroinvertebrate communities within three Afromontane headwater streams influenced by different land use patterns. Ecological Indicators 129: 107972. https://doi.org/10.1016/j.ecolind.2021.107972.
   Web of Science ®Google Scholar
• McGill B J, Enquist B J, Weiher E, Westoby M. 2006. Rebuilding community ecology from functional traits. Trends in Ecology & Evolution 21: 178–185. https://doi.org/10.1016/j.tree.2006.02.002.
   PubMed Web of Science ®Google Scholar
• Menezes S, Baird DJ, Soares AMVM. 2010. Beyond taxonomy: a review of macroinvertebrate traits-based community descriptors as tools for freshwater biomonitoring. Journal of Applied Ecology 47: 711–719. https://doi.org/10.1111/j.1365-2664.2010.01819.x.
   Web of Science ®Google Scholar
• Mlambo MC. 2014. Not all traits are ‘functional’: insights from taxonomy and biodiversity-ecosystem functioning research. Biodiversity and Conservation 23: 781–790. https://doi.org/10.1007/s10531-014-0618-5.
   Web of Science ®Google Scholar
• Mondy CP, Schuwirth N. 2017. Integrating ecological theories and traits in process-based modelling of macroinvertebrate community dynamics in streams. Ecological Applications 27: 1365–1377. https://doi.org/10.1002/eap.1530.
   PubMed Web of Science ®Google Scholar
• Moya N, Hughes RM, 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. Ecological Indicators 11: 840–847. https://doi.org/10.1016/j.ecolind.2010.10.012.
   Web of Science ®Google Scholar
• Ntloko P, Palmer CG, Akamagwuna FC, Odume ON. 2021. Exploring macroinvertebrate ecological preferences and trait-based indicators of suspended fine sediment effects in the Tsitsa River and its tributaries, Eastern Cape, South Africa. Water 13: 798. https://doi.org/10.3390/w13060798.
   Web of Science ®Google Scholar
• Odume ON. 2020 Searching for urban pollution signature and sensitive macroinvertebrate traits and ecological preferences in a river in the Eastern Cape of South Africa. Journal: Ecological Indicators 108: 105759. https://doi.org/10.1016/j.ecolind.2019.105759.
   Web of Science ®Google Scholar
• Odume ON, Ntloko P, Akamagwuna FC, Dallas HM, Barber-James H. 2018. Development of macroinvertebrate trait-based approach for assessing and managing ecosystem health in South African rivers – incorporating a case study in the Tsitsa River and its tributaries, Eastern Cape. WRC Report. Pretoria: Water Research Commission.
   Google Scholar
• Philips N. 2004. Stream biomonitoring using species traits. Water and Atmosphere 12: 8–9.
   Google Scholar
• Poff, NL 1997. Landscape filters and species traits: towards mechanistic understanding and prediction in stream ecology. Journal of the North American Benthological Society 16: 391–409. https://doi.org/10.2307/1468026.
   Web of Science ®Google Scholar
• Poff NL, Olden JD, Vieira NKM, Finn DS, Simmons MP, Kondratieff BC. 2006. Functional trait niches of North American lotic insects: traits-based ecological applications in light of phylogenetic relationships. Journal of the North American Benthological Society 25: 730–755. https://doi.org/10.1899/0887-3593(2006)025[0730:FTNONA]2.0.CO;2.
   Web of Science ®Google Scholar
• Poff NL, Pyne MI, Bloe BP, Cuhaciyan CC, Carlisle DM. 2010. Developing linkages between species traits and multiscaled environmental variation to explore vulnerability of stream benthic communities to climate change. Journal of the North American Benthological Society 29: 1441–1458. https://doi.org/10.1899/10-030.1.
   Google Scholar
• Schäfer RB, Kefford BJ, Metzeling L, Liess M, Burgert S, Marchant R, Pettigrove V, Goonan P, Nugegoda D. 2011. A trait database of stream invertebrates for the ecological risk assessment of single and combined effects of salinity and pesticides in South-East Australia. The Science of the Total Environment 409: 2055–2063. https://doi.org/10.1016/j.scitotenv.2011.01.053.
   PubMed Web of Science ®Google Scholar
• Schmera D, Heino J, Podani J, Erős T, Dolédec S. 2017. Functional diversity: a review of methodology and current knowledge in freshwater macroinvertebrate research Hydrobiologia 787: 27–44. https://doi.org/10.1007/s10750-016-2974-5.
   Web of Science ®Google Scholar
• Schmera D, Podani J, Heino J, Erős T, Poff NL. 2015. A proposed unified terminology of species traits in stream ecology. Freshwater Science 34: 823–830. https://doi.org/10.1086/681623.
   Web of Science ®Google Scholar
• Song Y, Wang P, Li G, Zhou D. 2014. Relationship between functional diversity and ecosystem functioning: a review. Acta Ecologica Sinica 34: 85–91. https://doi.org/10.1016/j.chnaes.2014.01.001.
   Google Scholar
• Southwood TRE. 1977. Habitat, the templet for ecological strategies? Journal of Animal Ecology 46: 336–365. https://doi.org/10.2307/3817.
   Web of Science ®Google Scholar
• Statzner, B, Bêche L 2010. Can biological invertebrate traits resolve effects of multiple stressors on running water ecosystems? Freshwater Biology 55: 80–119. https://doi.org/10.1111/j.1365-2427.2009.02369.x.
   Web of Science ®Google Scholar
• Tomanova S, Moya N, Oberdorff T. 2008. Using macroinvertebrate biological traits for assessing biotic integrity of neotropical streams. River Research and Applications 24: 1230–1239. https://doi.org/10.1002/rra.1148.
   Web of Science ®Google Scholar
• Townsend CR, Hildrew AG. 1994. Species traits in relation to a habitat templet for river systems. Freshwater Biology 31: 265–275. https://doi.org/10.1111/j.1365-2427.1994.tb01740.x.
   Web of Science ®Google Scholar
• Usseglio-Polatera P, Bournaud M, Richoux P, Tachet H. 2000. Biomonitoring through biological traits of benthic macroinvertebrates: how to use species trait databases? Hydrobiologia 422/423: 153–162. https://doi.org/10.1023/A:1017042921298.
   Web of Science ®Google Scholar
• Verberk WCEP, Siepel H, Esselink H. 2008. Life-history strategies in freshwater macroinvertebrates. Freshwater Biology 53: 1722–1738. https://doi.org/10.1111/j.1365-2427.2008.02035.x.
   Web of Science ®Google Scholar
• Verberk WCEP, van Noordwijk CGE, Hildrew AG. 2013. Delivering on a promise: Integrating species traits to transform descriptive community ecology into a predictive science. Freshwater Science 32: 531–547. https://doi.org/10.1899/12-092.1.
   Web of Science ®Google Scholar
• Vieira NKM, Poff NL, Carlisle DM, Moulton SR, Koski ML, Kondratieff BC. 2006. A database of lotic invertebrate traits for North America: U.S. Geological Survey data series 187, http://pubs.water.usgs.gov/ds187. [Accessed 18 September 2011].
   Google Scholar
• Violle C, Navas. M, Vile D, Kazakou E, Fortunel C, Hummel I, Garnier E. 2007. Let the concept of trait be functional! Oikos 116: 882–892. https://doi.org/10.1111/j.0030-1299.2007.15559.x.
   Web of Science ®Google Scholar
• Wilkes M A, Mckenzie M, Murphy J F, Chadd RP. 2017. Assessing the mechanistic basis for fine sediment biomonitoring: inconsistencies among the literature, traits and indices. River Research and Applications 33: 1618–1629. https://doi.org/10.1002/rra.3139.
   Web of Science ®Google Scholar
• Wooster DE, Miller SW, Debano SJ. 2012. An examination of the impact of multiple disturbances on a river system: taxonomic metrics versus biological traits. River Research and Applications 28: 1630–1643. https://doi.org/10.1002/rra.1555.
   Web of Science ®Google Scholar