Skip to content
Research Article Open access CC BY 4.0

Fish Community Structure in River Ossiomo, Niger Delta, Nigeria in Relation to Some Selected Environmental Variables

Gift O. Omovoh, Francis O. Arimoro, Adesola V. Anyanwale, Evans C. Egwim, Blessing O. Omovoh, Victoria I. Chukwuemeka, Suleiman Zakari, Augustine O. Edegbene

Asian Journal of Geographical Research · pp. 55–65 · Published 22 Dec 2021

10.9734/ajgr/2021/v4i4106

Abstract

In the past decade, it has been reported that water quality of rivers are deteriorating increasingly. In this study we examined the state of River Ossiomo to assess the current health of the river for a period of 24 months from April 2019 to March 2020, then July 2020 to May 2021 in three well marked out stations. The study was to determine the relationship between environmental variables and fish species assemblage in the river. From the results of the physico-chemical variables, the mean values of pollution indicating physico-chemical variables such as sulphate (1.26+0.32mg/l) and total suspended solids (TSS) (5.53+1.89mg/l) were higher in station 2. On the other hand, pH (5.94+0.48), DO (8.64+1.57mg/l), turbidity (7.48+7.63NTU), TDS (29.64+14.65mg/l) and phosphate (0.43+0.31mg/l) mean values were highest in station 1. Conductivity (70.87+26.42µS/cm) and nitrate (0.49+0.34mg/l) mean values were highest in station 3. Further, dissolved oxygen (DO) was higher in station 1, the reference station. The analysis of variance (ANOVA), we performed for the physico-chemical variables revealed that temperature, conductivity, DO, total dissolved solids (TDS), alkalinity, TSS, sulphate, phosphate and nitrate were significantly different among the three stations sampled (P<0.05), while pH, BOD and turbidity were not significant among the three stations sampled (P>0.05). The result of the principal component analysis showed that conductivity was positively associated with station 3, and temperature, TDS and alkalinity were negatively associated with stations 1 and 2. A total of 2,324 fish individuals belonging to 29 taxa were recorded in the entire study period. Station 1 harbours more fish species (1018), followed by station 2 (809), and we recorded the lowest number of fish individuals in station 3 (497). Auchenoglanis occidentalis was the most preponderant fish species probably occasioned by its level of adaptation to prevailing environmental conditions in the study river. The least abundant fish species was Synodontis eupterus.The canonical correspondence analysis we used in visualizing the relationship between fish species and physico-chemical variables showed that fish taxa such as Distichodus brevipinni, Cteropoma kinsleyae, Tilapia zillii, Malapterarus electricus, Mormyrus engystoma, and Synodontis  nigita that were positively associated with pollution indicating physico-chemical variables were suggested as indicators for monitoring riverine health in the Niger Delta area of Nigeria. We recommend that more detailed studies should be carried out in River Ossiomo to confirm this result. However, this study serves as a baseline study in the present study area.

Physico-chemical variables indicator fish taxa Auchenoglanis occidentalis Synodontis nigita River Ossiomo Niger Delta Nigeria.

References (25)

  1. 1 Parienté W. Urbanisation in Sub-Saharan Africa and challenges of access to basic services. J. Demo. Econ. 2017;83(1):31 – 39. [DOI]
  2. 2 Keke UN, Omoigberale MO, Ezenwa I, Yusuf A, Biose E, Nweke N, Edegbene AO, Arimoro, FO. Macroinvertebrate communities and physicochemical characteristics along an anthropogenic stress gradient in a southern Nigeria stream: Implications for ecological restoration. Environ. Sustain. Indic.; 2021. [DOI]
  3. 3 DOI:10.1016/j.indic.2021.100157. [DOI]
  4. 4 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. 2020;11: 1267. [DOI]
  5. 5 DOI:https://doi.org/10.3390/w11061267. [DOI]
  6. 6 Edegbene AO, Odume ON, Arimoro FO, Keke UN. Identifying and classifying macroinvertebrate indicator signature traits and ecological preferences along urban pollution gradient in the Niger Delta. Environ. Poll. 2021;281: 117076. [DOI]
  7. 7 DOI: https://doi.org/10.1016/j.envpol.2021.117076 [DOI]
  8. 8 Ogidiaka E, Asagbra MC, Arimoro FO, Edegbene AO. Non-cichlid fish communities of Warri River at Agbarho, Niger Delta Area, Nigeria. J. Aqua. Sci. 2013;28(1):17 -23.
  9. 9 Edegbene AO, Elakhame LA, Arimoro FO, Osimen EC, Odume ON. Development of macroinvertebrate multimetric index for ecological evaluation of a river in North Central Nigeria. Environ. Monitor. Assess. 2019;191(5):274 [DOI]
  10. 10 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? Environ. Monitor. Assess. 2021;193(5):309. [DOI]
  11. 11 DOI:https://doi.org/10.1007/s10661-021-09093-z [DOI]
  12. 12 Victor R, Tetteh JO. Fish communities of a perturbed stream in southern Nigeria. J. Trop. Ecol. 1988;4:49 – 59. [DOI]
  13. 13 Edegbene AO. Biological assessment of ecological integrity of River Chanchaga, in Niger State Nigeria. A Ph.D thesis submitted to Postgraduate School, Ambrose Alli University, Ekpoma, Nigeria. 2021; 338.
  14. 14 Ikhuoriah SO, Oronsaye CG, Adebanjo IA. Zooplankton communities of the River Ossiomo, Ologbo, Niger Delta, Nigeria. Ani. Res. Internat. 2015;12(3):2249 – 2259.
  15. 15 Umedum NL, Kaka EB, Okoye NH, Anarado CE, Udeozo IP. Physicochemical Analysis of Selected Surface Water in Warri, Nigeria. Internat. J. Sci. Eng. Res. 2013; 4(7):1558- 1562.
  16. 16 Olaosebikan BD, Raji A. Field guide to Nigerian Freshwater Fishes.Federal College of Freshwater Fisheries Technology, New Bussa, Nigeria. 1998; 106Pp.
  17. 17 APHA (American Public Health Association). Standard methods for the examination of water and wastewater, WEF and AWWA, 20th Edition, USA. 1998;1213.
  18. 18 Idodo-Umeh G. Freshwater fishes of Nigeria. (Taxonomy, Ecological notes, diet and utilization).Idodo-Umeh Pub. Ltd, Benin-City, Nigeria. 2003; 232.
  19. 19 Hammer Ø, Harper DAT, Ryan PD. PAST: paleontological statistics software package for education and data analysis. Palae Elect. 2001;4:9.
  20. 20 Osimen EC, Elakhame LA, Edegbene AO, Izegaegbe JI Identifying and categorizing potential indicator macroinvertebrate taxa in a southern Nigerian reservoir using multivariate approach. Egypt. J. Aqua. Bio. Fish. 2021;25(1):293 -312. [DOI]
  21. 21 DOI: 10.21608/ejabf.2021.142940. [DOI]
  22. 22 WHO. Guidelines for Drinking Water Quality. V-I Recommendations World Health Organization, Geneva, Switzerland, 2004; pp. 145–220.
  23. 23 Standard Organisation of Nigeria (SON). Standard Organization of Nigeria, Nigerian Standard for drinking water quality. 2007;15-16.
  24. 24 Mohammad MA, Saminu MY. Biodiversity and abundance of fish and plankton of Nguru Lake, Northeastern, Nigeria. J. Biol. Agric. Heal. Car. 2013;3(5):18– 23.
  25. 25 Arimoro. FO, Ikomi, RB, Nwadukwe FO, Eruotor OD, Edegbene AO. Fluctuating salinity levels and an increasing pollution gradient on fish community structure and trophic levels in a small creek in the Niger Delta, Nigeria. Internat. Aqua. Res. 2014; 6(4):187 – 202. [DOI]

Cited by 1

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

1

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.