Abstract :
This study was carried out from December 2021 to November 2022 to examine the interaction of environmental factors with bloom-forming Coscinodiscus species. Plankton samples were collected with a 20 µm mesh plankton net. The nutrients were analysed in the laboratory using the APHA 2012 Method, while physico-chemical characteristics were determined in situ. Three species were recovered C. concinnus, granni, and radiatus C. Concinnus recorded the highest mean density values in stations 1 and 2. C. granni recorded the lowest density values in stations 2 and 3, while C radiatus recorded the highest density value in station 2 and the lowest in station 1. The three species decreased across seasons (from dry to wet). Interaction between principal component analysis, environmental parameters, and Coscinodiscus spp. across stations indicates that temperature. and nitrate showed a strong positive correlation with C. granni species, while C. concinus showed a strong positive correlation with salinity. Conductivity, pH, and nitrate. Phosphate and nitrite showed a strong positive correlation with C. radiatus. These environmental parameters (temp.NO3, salinity, pH, TDS, and DO) greatly influence the distribution and abundance of the Coscinodiscus spp. and were the most used predictors in the forecast of Coscinodiscus spp., which were positively correlated. The regression coefficient, R2 = 0.878, in the model for Coscinodiscus concinus species accounted for 87% of the significant predictors and therefore confirmed the predictive power of this ARIMA model for predicting bloom forming C. concinus species, while the remaining species could not be accounted for. Human activities are having an increasing influence on the marine environment, especially the eutrophication of water. With an increase in the environmental gradients, there is a possibility of the species forming a bloom. There is the need for best management practices to address nutrient discharge in the Bonny Estuary.
Keywords :
Abundance, Bonny Estuary, Coscinodiscus, Diversity, Harmful algal species.References :
- American Public Health Association – (APHA). (2012). Standard Methods for the Examination of Water and Wastewater, 22nd Edition. New York: American Public Health, Association (APHA), American Water Works Association (AWWA), and Water Pollution Control Federation (WPCF).
- American Public Health Association (APHA). (1998). Standard Methods for the Evaluation of Water and Waste Water. 20th Edn., American Public Health Association Inc., New York, Washington, D.C
- Anderson, C.R., Sapiano, M., Prasad, M.B., Long, W., Tango, P., Brown, C., and Murtugudde, R., (2010). Predicting potentially toxigenic Pseudo-nitzschia blooms in the Chesapeake Bay. J Marine System.
- Androniki, T., George, T., Michael, K, Kleanthis, P. G., and Kokkoris, D., (2021). Drivers of harmful algal blooms in coastal areas of Eastern Mediterranean: a machine learning methodological approach Mathematical Biosciences and Engineering 18, (5) 6484–6505. DOI:10.3934/mbe.2021322
- Boalch, G.T (1971).The typification of diatoms species Coscinodiscus concinnusSmith and Coscinodiscus granni Gough-J.Mar.,Biol.Assoc.United Kingdom 51:685-695.
- Box, G.and Jenkins, G., (1976). Time Series Analysis: Forecasting and Control. revised edn., Prentice-Hall, Englewood Cliffs, N.J.
- Chindah, A.C, and Nduaguibe, U. (2003). Effect of tank farm wastewater on water quality and periphyton of Lower Bonny River Niger Delta, Nigeria. Journal of Nig. Env. Soc., 1(2): 206 – 222.
- Dangana,L.B.,(1985).Hydrogeomorphological controls of the mangrove environment In: Proceedings of a Workshop on the mangrove ecosystem of the Niger Delta. University of Port Harcourt. pp: 357
- Ebere, N., (2002). The impact of oil refinery effluents on the distribution, abundance and community structure of macrobenthos in Okrika Creek. Ph.D. Thesis. Dept. Biological Sciences. Rivers state University of Science and Technology.xxx+ 383.
- Falomo, R.O., (1998). The impact of industrial effluents on the distribution of plankton of the Central Bonny Estuary. M.Sc. Thesis. Dept. of Biological Sciences. Rivers State University of Science and Technology. xiv+ 107.
- Glidewell, C., (1990). The nitrate/nitrite controversy. Chemical Britanica, 26(2), 137-140.
- Hallegraeff, G.M., Anderson, D.M., and Cembella, A.D. (1995). Manual on Harmful Marine Microalgae. UNESCO, 1–22. ISBN:92-3-103871-0.
- Hasle G.R and Syverteen,E.E (1997).Marine diatoms-In:Tomas,C.R (ed):Identifying marine phytoplankton:5-385.Academic Press,San Diego
- Hill, P. R., Kumar, A., Temimi, M., and Bull, D. R., (2020). HAB Net: Machine learning, remote sensing-based detection of harmful algal blooms IEEE J Sel T Op A ppl Earth Obs Remote Sens 13,,3229-3239.
- Huang, H.;Wang, Y.; Song, H.;Wang, J.; Chen, Y.; Zhao, Y.; Liu, F.; and Chen, N.(2021) The complete mitochondrial genome and phylogenetic analysis of Coscinodiscus wailesii (Coscinodiscophyceae, Bacillariophyta). Mitochondrial DNA B Res., 6, 1849–1851. [CrossRef] [PubMed]
- Jin, Y. J., (2012). Evaluation of environmental change of abalone aquiculture area in Putian Nanri Island. – Chemical Engineering Equipment (8): 213-215.
- Laing, I.; and Gollasch, S. (2002) Coscinodiscus wailesii—A Nuisance Diatom in European Waters. In Invasive Aquatic Species of Europe. Distribution, Impacts and Management; Springer: Amsterdam, The Netherlands.
- Leps, J., and Smilauer, P., (2003). Multivariate Analysis of Ecological Data Using CANOCO. Cambridge University Press, Cambridge. http://dx.doi.org/10.1017/CBO978051161514.
- Lomas, M.W., and Glibert, P.M., (2000). Comparison of nitrate uptake, storage, and reduction in marine diatoms and flagellates. Journal of Phycology 36, 903–913.
- Mooser, K.A, Macdonald, G.M, and Smol, J.P., (1996). Applications of freshwater diatoms to geographical research. Progress Physical Geography; 20:21-52.
- Nagai,S and Manabe,T.(1993).Coscinodicus wailesii. Auxospore formation of a giant diatom Coscinodicuss wailesii (Bacillariophyceae)in culture-Bull.Plankton Soc.Japan 40(2):151-167.
- Nishikawa, T.; Tarutani, K.; and Yamamoto, T. (2010) Nitrate and phosphate uptake kinetics of the harmful diatom Coscinodiscus wailesii, a causative organism in the bleaching of aquacultured Porphyra thalli. Harmful Algae, 9, 563–567. [CrossRef]
- Ogamba, E.N., Chinda, A.C., Ekweozor, I.K.E., and Onwuteaka, J.N., (2004). Water quality and phytoplankton distribution in Elechi Creek Complex of the Niger Delta. J. Niger. Environ Soc. (JNES), 1 (2): 121-130.
- Park, S., and Sin, Y., (2021).Artificial Neural Network (ANN) Modeling Analysis of Algal Blooms in an Estuary with Episodic and Anthropogenic Freshwater Inputs. Appl. Sci., 11, 6921. https:// doi.org/10.3390/app11156921.
- Peperzak, L (2003) Climate change and harmful algal bloom in the North SeaActa Oecol.24,S139-S144
- Pierce, R. H., Henry, M. S., and Higham, C. J., (2004). Removal of harmful algal cells (Karenia brevis) and toxins from seawater culture by clay flocculation. Harmful Algae, 3, 141-148.
- Pilkaityte, R., and Razinkovas, A. (2007). Seasonal changes in phytoplankton composition and nutrient limitation in a shallow Baltic lagoon. Boreal Environ Res.; 12: 551–559. (Google Scholar).
- Salas, E., Rozell, D., Mullen, B., and Driskell, J., (1999). The effect of team building on performance: An integration. Small Group Research, 30(3), 309-329.
- ,E (1996).Flora diatomologica de Bahia San Antonio(Prov,de Rio Negro,Argentina)O.centrales 1-Rev.Mus.La Plata(n.s)XIV(106):365-400.
- Sridhar,R.T.,Thangaradjou,S.S.,and Kumar, K.(2006).water quality and phytoplankton characteristics in the Palk Bay,Southeast coast of India.J Environ.Biol.,27:561-566.
- Statistical Package for Social Science. (2007). SPSS for Windows, Version 16.0. Chicago, SPSS Inc.
- Tanako, H.(1980).Coscinodicus jonesianus (Grevile) Ostenfield,gogas and C.wailesii Gran.-In: Synopsis of red tide organisms. Fisheries Agency, Japanese Govt, Sheet 36,37,38.
- Tetsuya, N.; Kazutaka, M.; and Satoshi, N.(2000) Effects of temperature and salinity on the growth of the giant diatom Coscinodiscus wailesii isolated from Harima-Nada, Seto Inland Sea, Japan. Nippon Suisan Gakkaishi, 66, 993–998. [CrossRef]
- Thomas C. R.,(1997) Identifying marine phytoplankton. Academic press, California, USA. 858 pp
- United States Environmental Protection Agency (USEPA).(2000). Sediment pollution. Retrieved Feb.10,2006 from. http://www.epa.gov/owow/nps/toolbox/other/KSMO_Sediment.pdf.
- United States Geological Survey (USGS). (2007). Relation between selected water quality variables and climatic factors. Retrieved Sept.12,2006, from, http://www.pubs.water.usgs.gov/sir20075117.
- Usup, G., Pin, L.C, Ahmad, A., Teen, and L.P., (2002).Alexandrium (Dinophyceae) species in Malaysia Waters. Harmful Algae, 1, 265-275. http://dx.doi.org/10.1016/S1568-9883(02)00044-6.
- Van landingham,S (1968).Catalogue of the fossil and recent genera and species of diatoms and their synonyms Part 2:494-1086.J Cramer,Vaduz
- Vincent-Akpu, I.F., and Nwachukwu, L.C., (2016). Comparative Water Quality Assessment of Nembe, Bonny and Iwofe Ferry terminals in Port Harcourt, Nigeria IOSR Journal of Environmental Science, Toxicology and Food Technology 10(7) 15-19. e-ISSN: 2319-2402.
- World Health Organization. (2011). Guidelines for Drinking-water Quality.3rd ed. 1 Recommendations. 210-220.
- Yan,L., Quan,W., Zhao,X., (2004).Prediction and setup of phytoplankton statistical model of Qiandaohu Lake J Zhejiang Univ Sci 5(10):1206 1210 doi: 10.1631/jzus.