00
Days
00
Hrs
00
Min
00
Sec
Submit Your Paper

The Seasonal Variations in Hydrological Factors in the Activity Zones: An Essential Examination of the Ecosystem in Badagry Creek, Lagos, Nigeria

Authors

B. O. Ayo-Dada

Fisheries Resources Department, Nigerian Institute for oceanography and Marine Research (NIOMR), P.O Box 12729, 3, Wilmot Point Road, off Ahmadu Bello Way, Victoria Island, Lagos. (NG)

G.A. Lameed

Wildlife and Ecotourism Department, University of Ibadan Oyo-State. (NG)

Article Information

DOI: 10.51583/IJLTEMAS.2024.130906

Subject Category: Physico-chemical parameters of Estuary

Volume/Issue: 13/9 | Page No: 69-76

Publication Timeline

Submitted: 2024-09-30

Published: 2024-09-30

Abstract

Abstract: The season is a pivotal representative in ascertaining the health status of a coastal ecosystem in a changing climate condition. The physico-chemical parameters of Badagry Creek were spatially and temporally investigated for twelve months (July 2017 to May 2018 for dry and wet seasons). Water samples were collected bi-monthly from nine stations, grouped into five activity zones during the water flow, covering upper, middle and lower courses. Seasonal variations in the physicochemical characteristics of Badgry Creek were found to be significantly different (<0.05) in salinity, phosphate, total suspended solids (TSS), total dissolved solids (TDS), depth, and dissolved oxygen (DO). Data were analysed using descriptive statistics, ANOVA and Spearman correlation at α₀.₀₅.


The wet season had greater values of conductivity (551.27±79.09µS/cm; 412.77±42.7µS/cm) , pH (7.43±0.39: 7.41±0.41), salinity (5.04±1.11ppt: 1.22±0.40ppt), DO (6.72±0.26: 5.39±0.58mg/l), and chloride (Cl̉ˉ, 684.51±82.50 µmol/L: 674.22±73.44 µmol/L) than the dry season respectively. An increase in salinity during the wet season indicates the seawater intrusion and the waste discharge effluents from domestic and aquaculture processes into the stream from the higher course. Significant differences were observed between the Aquaculture (AQ) and Aquaculture combined Dredging (AQ_DG) zone for Sulphate and Chloride (Clˉ).


The Biological Oxygen Demand (BOD) varied significantly between zones; they were 3.12±0.74mg/l in the Aquaculture zone (AQ) to 4.00±0.42 mg/l in the Domestic Waste (DW) zone and 2.10± 0.5 mg/l in the Aquaculture and Dredging (AQ_DG) zone to 19.2±9.44 mg/l in the Domestic Waste (DW) zone, respectively. The Highest value of TOM in DW station indicates anthropogenic effluents from domestic waste in this zone.  The seasons were used to describe variations in Badagry Creek's physicochemical parameter values because the wet season noted higher parameter values, which may be related to an influx of water from the upper to the lower course.

Keywords

Dry season, wet season, salinity, domestic waste, aquaculture, sand dredging

Downloads

References

1. Agboola, J. I. and Anetekhai, M. A. 2008. Length-Weight Relationships of some fresh and brackish water fishes in Badagry creek, Nigeria.J. Applied Ichthyol 24:623-625 [Google Scholar] [Crossref]

2. APHA, 1998. Standard Methods for the Examination of Water and Seawater. 17th ed. EPHA, Washington, USA. 1193pp. [Google Scholar] [Crossref]

3. Barthem, R.B. & Fabré, N.N. (2004) Biologia e diversidade dos recursos pesqueiros da Amazônia. In: Ruffino, M.L. (Ed.) A pesca e os recuros pesqueiros na Amazônia brasileira. Manaus: Ibama/ProVárzea, p. 268. [Google Scholar] [Crossref]

4. Castello, L., McGrath, D.G., Arantes, C.C. & Almeida, O.T. (2013) Accounting for heterogeneity in small-scale fisheries management: the Amazon case. Marine Policy, 38, 557–565. [Google Scholar] [Crossref]

5. Chibwe, M., Odume, O.N., Nnadozie, C.F. 2024. Spatiotemporal variations in the occurrence of Campylobacter species in the Bloukrans and Swartkops rivers, Eastern Cape, South Africa, Journal Heliyon 10 28774 [Google Scholar] [Crossref]

6. Etongo, D., Arrisol, L. 2021. Vulnerability of fishery based livelihoods to climate variability and change in a tropical island: insights from small scale fishers in Seychelles. Discover Sustainability, 2:48 | https://doi.org/10.1007/s43621-021-00057-4 [Google Scholar] [Crossref]

7. Fox J, Weisberg S, Adler D, et al. Package ‘car’. Vienna: R Foundation for Statistical Computing. 2012; 16(332): 333. [Google Scholar] [Crossref]

8. Furtado, M.S.C., Queiroz, J.C.B., Bentes, B., Yasojyma, E.K.K., Thomaz, D.O., Pinheiro, L.C. et al. (2023) The hydrological cycle of the lower Amazon in Brazil determines the variation in local fishing patterns. Fishes, 8(7), 371. Available from: https://doi.org/10.3390/fishe s8070371. [Google Scholar] [Crossref]

9. Furtado, M.S.C., Queiroz. J.C.B., Bentes, B., Gouveia, N.A., Lima, M.J.A., Ruffino, M.L. 2023. How does climate change affect small-scale fisheries? A case study of the Lower Amazon in Brazil. Fish Manag Ecol. 2024;31:e12654. https://doi.org/10.1111/fme.12654 [Google Scholar] [Crossref]

10. IPCC. Summary for policymakers. In: Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. In: Field CB, Barros VR, Dokken DJ, Mach KJ, et al, editors Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA. 2014;1-32. [Google Scholar] [Crossref]

11. Johannessen O, Miles M. Critical vulnerabilities of marine and sea ice–based ecosystems in the high Arctic. Reg Environ Change. 2011;11:239–48. [Google Scholar] [Crossref]

12. Justic, D., Rabalais, N.N., Turner, R.E. 1995a. Stoichiometric nutrient balance and origin of coastal Eutrophication. Marine pollution Bulletin 30,41-46. [Google Scholar] [Crossref]

13. Justic, D., Rabalais, N.N., Turner, R.E., Dortch, Q., 1995b. Changes in nutrient balance and its consequences, Estuarine, Coastal and Shelf Science 40, 339-356. [Google Scholar] [Crossref]

14. Lowe-McConnell, R.H. (1999) Estudos ecológicos de comunidades de peixes tropicais. São Paulo: EDUSP, p. 534. [Google Scholar] [Crossref]

15. Lv, Y., Fu, X., Feng, Y., Zeng, Y., Liu, Y., Chang, R., Sun, G., Wu, B., 2012. A policy- driven large scale ecological restoration: quantifying ecosystem services changes in the Loesss Plateau of China, PLoS One 7, e31782. [Google Scholar] [Crossref]

16. LV, Z., Li, S., Xu, X., Lei. J., Peng, Z. 2024. Ecological risk assessment of landscape in arid area watersheds under ecological water conveyance: A case study of Taitema Lake, Heliyon, 10 29575 [Google Scholar] [Crossref]

17. Nixon, S.W. 1995. Coastal marine eutrophication: definition, social causes, and future concerns, Ophelia 41, 199-2119. [Google Scholar] [Crossref]

18. Olaide-Maseaku, P. 2010. Transatlantic Slave Trade Museum Guide, Awise production, Lagos pp 9-12. [Google Scholar] [Crossref]

19. Pinaya, W.H.D., Pita, P., Souza, R.B., Lobon-Cérvia, F.J., Pita, P., Buss de Souza, R. et al. 2016. Multispecies fisheries in the lower Amazon River and its relationship with the regional and global climate variability. PLoS One, 11, e0157050 [Google Scholar] [Crossref]

20. Smith, V.H., Tilman, G.D., Nekola, J.C., 1999. Eutrophication: Impacts of excess nutrient inputs on freshwater, marine and terrestrial ecosystems, Environmenal Pollution 100, 179-196 [Google Scholar] [Crossref]

21. Spatharis, S., Tsirtsis, G., Danielids, D.B., Chic, T.D., Mouillot, D. 2007. Effects of Pulsed nutrient inputs on phytoplankton assemblage structure and blooms in an enclosed coastal area, Estuarine, Coastal and Shelf Science, 73, 807-815. [Google Scholar] [Crossref]

22. Sumaila U.R, Cheung, W.W.L, Lam V.W.Y, Pauly D, Herrick S. Climate change impacts on the biophysics and economics of world fisheries. Nat Clim Change. 2011;1(9):449–56. [Google Scholar] [Crossref]

23. Yang, L., Tang, Y., Sun, H., He, L., Li, R., 2024. Hyochemical charateristics of abandoned coal mines derived acid mine drainage in a typical Karst basin Wuma river basin, Gizhou China, Heliyon, 10 31963 [Google Scholar] [Crossref]

24. Zhang, M., Ma, S., Gorg, J., Chu, L., Wang, 2023. A. A coupling effect of Landscape patterns on the spatial and temporal distribution of water ecosystem service: a case study in the Jianghuai ecological economic zone, China, Ecol. Indicat. 151 [Google Scholar] [Crossref]

25. Zhang, M., Wang, H., Liu, C., Zhang, J., Wang, Y., Qi, X. 2015. How ecological restoration alters ecosystem services: an analysis of vegetation carbon sequestratic in the Karst area of northwest Guangxi, China, Environ. Earth Sci 74 5307-5317. [Google Scholar] [Crossref]

Metrics

Views & Downloads

Similar Articles

© 2026 IJLTEMAS · RSIS International. All rights reserved. ISSN 2278-2540.