home icon user icon
Welcome to International Network for Natural Sciences | INNS Pub.
Home My Account
Submit Manuscript
double_slash
breadcumb_bg

Periphytic algal community structure and their relation with abiotic parameters in rivers of three mining areas of Cote D’ivoire

Paper Details

Research Paper 07/02/2024
Views (525) Download (51)
current_issue_feature_image
publication_file

Periphytic algal community structure and their relation with abiotic parameters in rivers of three mining areas of Cote D’ivoire

Mousso Henri Gauthier, Niamien-Ébrottié Julie Estelle, Konan Koffi Mexmin, Edia Oi Edia, Ouattara Allassane
J. Bio. Env. Sci.24( 2), 45-61, February 2024.
Certificate: JBES 2024 [Generate Certificate]
Key: Côte d’IvoireMiningPalmer’s algal indexPeriphytic algae

Abstract

The periphytic algae on natural substrate and the environmental variables were investigated during dry and rainy season in seven rivers of three mining areas at Tortiya in north, Hiré and Lauzoua in the south of Côte d’Ivoire from November 2017 to January 2019. The environmental and periphytic algae data collected were subjected to a multivariate analysis. A non-metric multidimensional scaling of periphytic algae taxa and a principal component analysis of abiotic parameters were used. The relationship between biodiversity with physical and chemical parameters was determined. The Algal Generic Pollution Index was employed to study the water quality of these rivers. Two hundred and twenty five (225) taxa belonging to seven phyla were recorded. Regarding algal groups, green algae (Chlorophyta) were most diverse (69 taxa) followed by Euglenophyta, Bacillariophyta (Diatoms), Cyanobacteria with respectively 60, 54 and 44 taxa. Other groups consisted of at least 2 taxa from Dinophyta, 4 and 3 taxa respectivily of Ocrophyta and Rhodophyta. Manganese mining area (Lauzoua) recorded highest diversity with 216 taxa. It is followed by Tortiya with 202 taxa. Gold mining area (Hiré) recorded lowest diversity with 195 taxa. The stations from gold mining had lowers values of biotic index and biovolume but highest values of Palmer’s index than stations from diamond and manganese mining areas. This would therefore be the environment most disturbed by gold mining activity. Manganese and diamond mining at Lauzoua and Tortiya respectively have a lesser effect on the organisation of the periphytic algal community.

VIEWS 147
Cover PDF

Adeniyi AO, Akinwole AO. 2017. Phytoplankton composition and physico-chemical parameters of lower river Niger, Agenebode, Edo state Nigeria, International Journal of Fisheries and Aquatic Studies 5 (3), 256-260.

Algarte VM, Siqueira NS, Murakami EA, Rodrigues L. 2009. Effects of hydrological regime and connectivity on the interannual variation in taxonomic similarity of periphytic algae. Brazilian Journal of Biology = Revista Brasileira de Biologia 69 (2), 609-616.

Amossé A. 1970. Diatomées marines et saumâtres du Sénégal et de la Côte d’Ivoire. Bulletin de l’Institut Fondamental d’Afrique Noire Série A 32 (2), 289-311.

APHA. 2005. Standard methods for the examination of water and wastewater. Editions 21, Washington DC. American Public Health Association.

Biggs BJF, Stevenson RJ, Lowe RL. 1998. A habitat matrix conceptual model for stream periphyton. Archiv für Hydrobiologie 143 (1), 21-56.

Chankaew S, Chunta S, Baimai V, Kiriratnikom S. 2023. Effect of physico-chemical conditions on the phytoplankton community in the Sago Palm Wetlands, Nakhon Si Thammarat province, the Peninsular East Coast of Thailand. International Journal of Agricultural Technology 19 (2), 421 – 434.

Chomérat N. 2005. Patron de réponse du phytoplancton à la variabilité des  facteurs abiotiques dans un étang méditerranéen hypereutrophe: succès écologique de Planktotrixagardhii (Gomont) Anagnostidis & Komárek (Cyanoprocaryote) dans un écosystème saumâtre. Thèse de Doctorat, Université Paul Cézanne (Aix-Marseille III), France 307p.

Clarke KR, Warwick RM. 2001. Changes in marine communities: an approach to statistical analysis and interpretation, 176 p.

Collins S, Rost B, Rynearson TA. 2014. Evolutionary potential of marine phytoplankton under ocean acidification. Evolutionary Applications 7, 140-155.

Couté A, Iltis A. 1985. Étude au microscope électronique à balayage de quelques Algues (Dinophycées et Diatomophycées) de la lagune Ébrié (Côte d’Ivoire). Nova Hedwigia 41, 69-79.

Dufrêne M. 1992. Biogéographie et écologie des communautés de Carabidae en Wallonie. Thèse de Doctorat, Université Catholique de Louvain, Belgique, 194p.

Dunck B, Nogueira IS, Felisberto SA. 2013. Distribution of periphytic algae in wetlands (Palm swamps, Cerrado), Brazil. Brazilian Journal of Biology = Revista Brasileira de Biologia 73 (2), 331-346.

Edokpayi JN, Odiyo JO, Shikwambana PP.  2016. Seasonnal variation of the impact of mining activities on Ga-Selati River in Limpopo Province, South Africa. International Journal of Environnemental, Chemical, Ecological, Geological and Geophysical Engineering 10, 156 – 161.

Ferragut C, Bicudo DC. 2010. Periphytic algal community adaptive strategies in N and P enriched experiments in a tropical oligotrophic reservoir. Hydrobiologia 646 (1), 295 – 309.

Hillebrand H, Durseken D, Kirschiel D, Pollingher U, Zohary T. 1999. Biovolume calculation for pelagic and benthic microalgae. Journal of Phycology 35, 403-424.

Huber-Perstalozzi G. 1995. Dasphytoplankton des Süsswassers. Teil 4 : Euglenophyceen Stuttgart, 606 p.

Ihaka R, Gentleman R. 1996. “R: a language for data analysis and graphics”, Journal of Computational and Graphical Statistics 5, 299 – 314.

Komárek J, Anagnostidis K. 1999. Cyanoprokaryota-1. Teil : Chroococcales.In : Ettl H., Gärtner G, Heynig H, Mollenhauer D. (Éds.). Süßwasserflora von Mitteleuropa 19/1. Gustav Fischer, Jena, 548p.

Komárek J, Anagnostidis K. 2005. Cyanoprokaryota-2. Teil/ 2nd Part : Oscillatoriales. In: Büdel B., Gärtner G., Krienitz L. & Schagerl M. (Éds.). : Süßwasserflora von Mitteleuropa 19/2 Elsevier, Heidelberg, 759p.

Komárek J, Fott B. 1983. Chlorophyceae (Grünalgen) Ordnug : Chlorococcales. In: Huber-Pestalozzi G. (Eds.) : Das Phytoplancton des Süßwasser 7 (1) : X + 1044 p., 253 pl.

Krammer K, Lange-Bertalot H. 1986. Bacillariophycées.1. Teil: Naviculaceae. In: H. Ettl, J. Gerloff, H. Heynig and D. Mollenhauer (Eds), Süßwasserflora von Mitteleuropa, Gustav fischer, Stuttgart, vol. 2/1, 876p.

Krammer K, Lange-Bertalot H. 1988. Bacillariophycées. 2. Teil: Bacillariaceae Epithemiaceae, Surirellaceae. In:Ettl H., Gerloff J., Heynig & Mollenhauer D. (Eds). Süßwasserflora von Mitteleuropa 2/2. Gustav fischer, Stuttgart, 576p.

Krammer K, Lange-Bertalot H. 1991. Bacillariophyceae. : Centrales, Fragilariaceae, Eunotiaceae. In: Ettl H, Gerloff J, Heynig H. & Mollenhauer D. (Eds.) Süßwasserflora von Mitteleuropa 2/3. Gustav fischer, Stuttgart, 576p.

Manly BFJ. 1994. Multivariate Statistical Methods. A primer. Second edition. Chapman & Hall, London, 215 p.

Martinez G, Todorovva S, Wu S, Ara JF. 2018. Mercury contamination in riverine sediments and fish associated with artisanal and small-scale gold mining in Madre de Dios, Peru. International journal of environnemental research and public health 15, 15 – 84.

N’guessan KA, Kouame KM, Tanoh KM, N’douba V. 2020. Physical and Chemical Characterization of the Bagoue Watershed (North-Western Cote D’Ivoire) Impacted by Artisanal and Clandestine Gold Mining. Journal of Environment Pollution and Human Health 8 (1), 20-28.

Niamien-Ébrottié JE, Konan KF, GnagneT, Ouattara A, Ouattara M, Gourène G. 2008. Étude diagnostique de l’état de pollution du système fluvio-lagunaire Aby-Bia Tanoé (Sud-Est, Côte d’Ivoire). Sud Sciences et Technologies 16, 5-13.

Ouattara A. 2000. Premières données systématiques et écologiques du phytoplancton du lac d’Ayamé (Côte d’Ivoire). Thèse de Doctorat, Université Catholique de Leuven, Leuven, 200p.

Palm R. 1990. La corrélation canonique: Principes et application. Notes de statistiques et d’informatique (Gembloux), 28p.

Palmer CM. 1969. A composite rating of algae tolerating organic pollution. Journal of  Phycology 5, 78-82.

Pietroń J, Chalov SR, Chalova AS, Alekeseenko AV, Jarsjö J. 2017. Extreme spatial variability in riverine sediment load inputs due to soil loss in surface mining areas of the lake Baikal basin. Catena 152, 82 – 93.

Prescott GW, Croasdale HT, Vinyard WC. 1975. A Synopsis of North American Desmids. Part II. Desmidiaceae: Placodermae. Section 1, University of Nebraska Press, Lincoln, 275 p.

Quinn G, Keough M. 2002. Experimental Design and Data Analysis for Biologists. Cambridge University Press, Cambridge.

Reynolds CS. 1998. What factors influence the species composition of phytoplankton in lakes of different trophic status? Hydrobiologia 11 (26), 369 – 370.

Reynolds CS, Melo S. 2000. Hydroecology of river plankton: the role of variability in channel flow Hydrology Process 14, 3119 – 3132.

Reynolds CS. 2006. The Ecology of Phytoplankton, Cambridge university press, 535p.

Salla M. 2015. Taxinomie, composition et distribution spatio-saisonnière du phytoplancton des rivières tropicales côtières Boubo et Mé. Thèse de Doctorat, Université Félix Houphouët-Boigny, Abidjan, Côte d’Ivoire, 263 p.

Soininen J. 2012. Macroecology of unicellular organisms-patterns and processes. Journal Environmental Microbioly Reports 4, 10 – 22.

Sami UB, Aaliya IB, Aadil HS, Ashok KP. 2011. Periphytic Algae of River Sindh in the Sonamarg Area of Kashmir Valley. Journal of Phytology 3 (6), 01-12.

Ter Braak CJF, Smilauer P. 2002. CANOCO reference manual and Canodraw for Windows user’s guide : software for canonical community ordination (version 4.5). Microcomputer Power, Ithaca, New York, 500 p.

Thioulouse J, Chessel D, Dolédec S, Olivier JM. 1997. A multivariate analysis and graphical display software”, Statistic and Computing 7, 75 – 83.

Tripathi AK, Pandey SN, Tiwari RK. 1987. Eutrophication study of Kalyanpur Pond, India. Proceedings of the National Academy of Sciences India Section B, Biological Sciences 57 (B) 111, 279-283.

Tsarenko PM, Hegewald E, Braband A. 2005: Scenedesmus-like algae of Ukraine. – Algological. Studies 118, 1- 45.

Tsarenko PM, Wasser SP, Nevo E. 2009: Bacillariophyta, V.2. – In: Algae of Ukraine: diversity, nomenclature, taxonomy, ecology and geography. – Gantner Verlag, Ruggell.

Tsarenko PM, Wasser SP, Nevo E. 2011. Chlorophyta, V.3. – In: Algae of Ukraine: diversity, nomenclature, taxonomy, ecology and geography. – Gantner Verlag, Ruggell.

Tuji A. 2000. Observation of developmental processes in loosely attached diatom (Bacillariophyceae) communities. Phycological Research 48 (2), 75 – 84.

Utermöhl H. 1958. Zur wervollkommnung der quantitativen phytoplanktonmethodic. Mitteilung Internationale Vereinigung Fuer Theoretische unde Amgewandte Limnologie 9 (1), 1 – 38.

Vázquez G, Aké-Castillo JA, Favila ME. 2011. Algal assemblages and their relationship with water quality in tropical Mexican streams with different land uses. Hydrobiologia 667 (1), 173-189.

Veenashree, Kumar M, Nandini N. 2022. Algal species diversity and palmer pollution index of puttenahalli lake in bengaluru, india. Journal of Advanced Scientific Research 13 (10), 41-46.

Spellerberg IF, Fedor PJ. 2003. A tribute to Claude Shannon (1916–2001) and a plea for more rigorous use of species richness, species diversity and the ‘Shannon–Wiener’ Index. Global Ecologycal Biogeography 12, 177-179.

Wright IA, Ryan MM. 2016. Impact of mining and industrial pollution on stream macroinvertebrates: importance of taxonomic resolution, water geochemistry and EPT indices for impact detection. Hydrobiologia 772,103-115.

Yoboué KKM. 2017. La question de la remédiation environnementale résultant de l’exploitation artisanale, à petite échelle du diamant : cas de l’Union du Fleuve Mano. Thèse unique d’hydrologie option surfaces et interfaces continentales, Université de Toulouse, France, 278 p.

Zapata A, Murgueitio E, Mejía C, Zuluaga AF, Ibrahim M. 2007. Efecto del pago por servicios ambientales en la adopción de sistemas silvopastoriles en paisajes ganaderos de la cuenca media del río La Vieja, Colombia. Agroforestería en las Américas 45, 86-92.

Submit Manuscript