Macroinvertebrates, alongside physico-chemical variables, were sampled and analyzed for nine months between April and December 2019 in three Stations (Stations 1, 2 and 3) in the Wupa River, Abuja, Nigeria. The stations were selected to represent an increasing pollution gradient from Station 1 < Station 2 < Station 3. Our result showed that Station 1 had the lowest mean values of physico-chemical variables, except conductivity and DO. Except for temperature (26.83±0.33oC), BOD (13.05±0.77 mg/l) and pH (6.91- 7.80) that were highest in Station 2, all other physico-chemical variables had their highest mean values in Station 3. The principal component analysis revealed that axis 1, with a variance of 64.41%, explained more variation in terms of physico-chemical variables than axis 2. Temperature and pH were positively correlated with Station 2, while turbidity and phosphate were strongly positively correlated with Station 3. A total of 49 macroinvertebrate taxa and 5,814 individuals were recorded during the study period. Station 1 (3.038) had the highest macroinvertebrate individuals, followed by Station 2 (1.794). Bulinus globusus with 759 individuals was the most predominant taxon in the area. The canonical correspondence analysis (CCA) showed that axis 1 explained 86.98% of the ordination variance while axis 2 explained 13.02%. The two axes showed no significant correlation between macroinvertebrate taxa and physico-chemical variables. The CCA triplot showed that Melanoides moerchi, Culex sp., and Oligoneux sp. are surrogates for biomonitoring the Wupa River. We recommend further studies to be conducted along the entire stretch of the river to confirm our present results.
Parienté W. Urbanization in Sub-Saharan Africa and challenges of access to basic services. J Demog Eco. 2017; 83 (1): 31 – 39. http://dx.doi.org/10.1017/dem.2017.3
Keke UN, Omoigberale MO, Ezenwa I, Yusuf A, Biose E, Nweke N, et al. Macroinvertebrate communities and physicochemical characteristics along an anthropogenic stress gradient in a southern Nigeria stream: Implications for ecological restoration. Environm Sustainabil Indicat. 2021; 12: 100157. https://doi.org/10.1016/j.indic.2021.100157
Liu X, Zhang J, Shi W, Wang M, Chen K, Wang L. Priority pollutants in water and sediments of a river for control basing on benthic macroinvertebrate community structure. Water. 2019; 11(6):1267. https://doi.org/10.3390/w11061267
Edegbene AO, Adam MB, Gambo J, Osimen EC, Ikomi RB, Ogidiaka E, et al. Searching for indicator macroinvertebrate traits in an Afrotropical riverine system: implication for ecosystem biomonitoring and sustainability. Environ Monit Assess. 2021 Oct 9; 193(11):711. https://doi.org/10.1007/s10661-021-09450-y
Edegbene AO, Arimoro FO, Odume ON. 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 Ecol. 2020; 54: 553–573. https://doi.org/10.1007/s10452-020-09759-9
Ogidiaka E. Asagbra MC, Arimoro FO, Edegbene AO. Non-cichlid fish communities of Warri River at Agbarho, Niger Delta Area, Nigeria. J Aquatic Sci. 2013; 28(1): 17 -23.
[Accessed 2020 Feb 16]. Available from: https://www.ajol.info/index.php/jas/article/view/90006
Edegbene AO, Arimoro FO, Odume ON. Developing and applying a macroinvertebrate-based multimetric index for urban rivers in the Niger Delta, Nigeria. Ecol Evol. 2019; 9: 12869-12885. https://doi.org/10.1002/ece3.5769
Mereta ST, Boets P, De Meester L, Goethals PLMC. Development of multimetric index based on benthic macroinvertebrates for the assessment of natural wetlands in southwest Ethiopia. Ecolog Indicat. 2013; 29: 510-521. https://doi.org/10.1016/j.ecolind.2013.01.026
Arimoro FO, Odume ON, Uhunoma SI, Edegbene AO. Anthropogenic impact on water chemistry and benthic macroinvertebrate associated changes in a southern Nigeria stream. Env Mon Assess. 2015; 187(2): 1-14. https://doi.org/10.1007/s10661-014-4251-2
Akamagwuna FC, Ntloko P, Edegbene AO, Odume ON. Are Ephemeroptera, Plecoptera and Trichoptera traits reliable indicators of semi-urban pollution in the Tsitsa River, Eastern Cape Province of South Africa? Env Mon Ass. 2021; 193(5): 309. https://doi.org/10.1007/s10661-021-09093-z
Namba H, Iwasaki Y, Heino J, Matsuda H. What to Survey? A Systematic review of the choice of biological groups in assessing ecological impacts of metals in running waters. Environ Toxicol Chem. 2020; 39(10): 1964-1972. https://doi.org/10.1002/etc.4810
Zhou O, Yang N, Li Y, Ren B, Ding X, Bian H. Total concentrations and sources of heavy metal pollution in global river and lake water bodies from 1972 to 2017. Global Ecol Conservat. 2020;22: e00925. https://doi.org/10.1016/j.gecco.2020.e00925
APHA (American Public Health Association). Standard Methods for the Examination of Water and Wastewater. WEF and AWWA. 20th Edition; 1998: USA.
Edegbene AO, Arimoro FO. Ecological Status of Owan River, Southern Nigeria Using Aquatic Insects as Bioindicators. J Aqua Sci. 2012; 27(2): 99 -111.
Arimoro FO, James HM. Preliminary pictorial guide to the macroinvertebrates of Delta State Rivers, Southern Nigeria. Grahamstown: Albany Museum. 2008.
Arimoro FO, Obi-Iyeke GE, Obukeni PJO. Spatiotemporal variation of macroinvertebrates in relation to canopy cover and other environmental factors in Eriora River, Niger Delta, Nigeria. Env Mon Assess. 2012; 184(10): 6449–6461. https://doi.org/10.1007/s10661-011-2432-9
de Moore IJ, Day JA, de Moore FC. Guides to the Freshwater Invertebrates of Southern Africa. Volume 8: Insecta II. Hemiptera, Megaloptera, Neuroptera, Trichoptera and Lepidoptera. Water Research Commission. 2003; 203-204. https://doi.org/10.2989/AJAS.2009.34.2.13.900
CJF ter Braak. “Ordinatio,” in Data Analysis in Community and Landscape Ecology, eds Jongman RHG, ter Braak CJF, van Tongeren OFR (Cambridge: Cambridge University Press). 1995; 346–399.
Oksanen J, Blanchet D, Minchin PR, O’Hara RB, Simpson GL, Solymos P, et al. Vegan: Community Ecology Package. 2015.
Team RC. A language and environment for statistical computing. R Found Stat Comput Vienna, Austria. 2020. [Accessed 2022 Feb 16]. Available from: http://r.meteo.uni.wroc.pl/web/packages/dplR/vignettes/intro-dplR.pdf
Hammer Ø, Harper DAT, Ryan PD. PAST: paleontological statistics software package for education and data analysis. Palae Elect. 2001; 4:9. [Accessed 2022 Feb 16]. Available from: https://paleo.carleton.ca/2001_1/past/past.pdf
Odume ON, Palmer CG, Arimoro FO, Mensah PK. Chironomid assemblage structure and morphological response to pollution in an effluent-impacted river, Eastern Cape, South Africa. Eco Ind. 2016; 67: 391-402. https://doi.org/10.1016/j.ecolind.2016.03.001
Osimen EC, Elakhame LA, Edegbene AO, Izegaegbe JI. Identifying and categorizing potential indicator macroinvertebrate taxa in a southern Nigerian reservoir using multivariate approach. Egyp J Aqu Bio Fish. 2021; 25(1): 293 -312.
Keke UN, Arimoro FO, Anyuawale AV, Odume ON, Edegbene AO. Weak Relationships among macroinvertebrates beta diversity (β), river status, and environmental correlates in a tropical biodiversity hotspot. Ecological Indicators. 2021; 129: 107868. https://doi.org/10.1016/j.ecolind.2021.107868
Ogidiaka E, Ikomi RB, Akamagwuna FC, Edegbene AO. Exploratory accounts of the increasing pollution gradients and macroinvertebrates structural assemblage in an Afrotropical estuary. Biologia (in press). 2021.
Gradilla-Hernández MS, de Anda J, Garcia-Gonzalez A, Meza-Rodríguez D, Yebra Montes C, Perfecto-Avalos Y. Multivariate water quality analysis of Lake Cajititl´an, Mexico. Environ Monit Assess. 2019 Dec 3; 192(1):5. https://doi.org/10.1007/s10661-019-7972-4
Edegbene AO, Arimoro FO, Odoh O, Ogidiaka E. Effect of anthropogenicity on the composition and diversity of aquatic insects of a municipal river in North Central Nigeria. Biosci Res Today’s World. 2015; 1: 69-80.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright (c) 2022 Omovoh BO et al