Bio-survey of Plankton as indicators of water quality for recreational activities in Calabar River, Nigeria

Uttah, Emmanuel Chukwunenye; Uttah, Chinasa; Akpa, P. A.; Ikpeme, EM; Ogbeche, Jude; Usip, L P; Asor, JE

doi:10.4314/jasem.v12i2.55525

Cited by 26 publications

(22 citation statements)

References 5 publications

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“…Chlorococcum sp., Closterium sp., Pediastrum sp., etc. (Tables II and III) Analysis of the phytoplankton community in different habitats of Chatla wetland revealed some similarities with phytoplankton studies in Calabar River, Imo River Estuary, Nigeria (Uttah et al, 2008;Akoma, 2008), where the predominance of Chlorophyceae in lotic systems with flowing water and Cyanophyceae bloom in eutrophic and polluted water was described. Laskar and Gupta (2009and 2011 reported similar trends of phytoplankton community composition in terms of density and abundance.…”

Section: Figuresupporting

confidence: 60%

Phytoplankton community and limnology of Chatla floodplain wetland of Barak valley, Assam, North-East India

Laskar

Gupta

2013

Knowl. Managt. Aquatic Ecosyst.

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Key-words:limnology, habitats, phyotplankton, community, Chatla floodplain wetland Phytoplankton diversity was investigated over a period of two years (2006 to 2008) in Chatla floodplain wetland in Barak valley, Assam, North-East India. Site 1 and site 2 are two inlets and site 3 is a lentic system associated with vegetation cover of Calamus tenuis and Baringtonia acutangula. The floodplain has a unique hydrology because of the presence of different types of habitats (inlets, fisheries, beels and outlets) which maintains a network among the floodplains, rivers and streams. Phytoplankton community composition, density and diversity were studied in relation to environmental variables. All the variables were estimated by following standard methods. Phytoplankton was collected by plankton net and quantitative estimation was made by using Sedgwick Rafter counting cell. Phytoplankton community comprised 53 taxa represented by Chlorophyceae (31), Cyanophyceae (11), Bacillariophyceae (7), Euglenophyceae (1) and Dinophyceae (3). Phytoplankton taxa was dominated by Volvox sp., Nostoc sp., Eunotia sp., Navicula sp., Euglena spp. and density was found highest in site 3 and lowest in site 1. Shannon diversity index (H ) for phytoplankton community varied between 2.4 to 2.65 indicating fairly high species diversity. The varying magnitude of correlationship among environmental variables and phytoplankton species density as shown by Canonical correspondence analysis (CCA) indicated that some of the environmental variables (water temperature, transparency, rainfall, nitrate and ammonia) are the driving factors for governing the phytoplankton species assemblages in Chatla floodplain wetland. Fluctuation of phytoplankton density and community composition in different habitats indicated various niche apportionment as well as anthropogenic influences. (11), Bacillariophyceae (7), Euglenophyceae (1) et Dinophyceae (3). Les taxons phytoplanctoniques sont dominés par Volvox sp., Nostoc sp., Eunotia sp., Navicula sp., Euglena sp. et la densité est la plus forte dans le site 3 et la plus faible dans le site 1. L'indice de diversité de Shannon (H ) pour la communauté phytoplanctonique varie entre 2,4 à 2,65 indiquant une diversité spécifique assez grande. L'ampleur variable de la corrélation entre les variables environnementales et la densité des espèces de phytoplancton, comme indiqué par l'analyse canonique de correspondance (CCA), indique que certaines des variables environnementales (température de l'eau, la transparence, la pluie, le nitrate et l'ammoniac) sont les facteurs déterminant les assemblages d'espèces de phytoplancton dans la plaine d'inondation Chatla. La variation de la densité du phytoplancton et de la composition de la communauté dans les différents habitats indique diverses répartitions de niche ainsi que les influences anthropiques.

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Section: Figuresupporting

confidence: 60%

Phytoplankton community and limnology of Chatla floodplain wetland of Barak valley, Assam, North-East India

Laskar

Gupta

2013

Knowl. Managt. Aquatic Ecosyst.

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“…Increased temperature, sunlight and tropholytic activities as a result of low water level coupled with frequent movement of water from the deep, nutrient-rich sediments into the tropholytic zone, increased the abundance of phytoplankton during dry season. Dominance of Chlorophyceae in the ponds in the dry season had been attributed to the presence of sunshine and extensive catchment area draining phosphate rich agriculture land (Uttah, 2008;Kurasawa & Shiraishi, 1954). Also flexibility in the Physiology and behaviour of Chlorophyceae can tolerate environmental changes better than other species (Silva, 2004).…”

Section: Discussionmentioning

confidence: 99%

Plankton Distribution and Diversity in Tropical Earthen Fish Ponds

Ikpi¹,

Offem²,

Okey³

2013

ENRR

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Our knowledge of the consumption of plankton by fish is still fragmentary. Trophic links between fish and plankton are often loose because plankton is a changing assemblage of pelagic organisms of valuable nutritional value. The objectives of the study were to determine the distribution and diversity of planktons in the fish ponds. Water samples for plankton analysis were collected monthly (January-December), along with water samples used for the determination of physico-chemical parameters in 250 ml bottles in Ponds 1, 2 and 5. The freshwater sample was mixed gently and pipetted into 5 ml plankton chamber containing 2 drops of Lugol's solution. The Lugol's solution which served as fixative also enhanced sedimentation of the organisms and was left overnight before analyzing plankton using Zeiss inverted plankton microscope and plankton determination keys. Data was analyzed using Shannon-Weaner diversity index, species richness, means and analysis of varians (ANOVA). The results showed that the highest species richness for dry season phytoplankton value of 27 was recorded in Pond 2, with the highest Shannon-Weaner diversity index value of 0.5401 in pond 5. Merismopaedia elegans with 3,434 in pond 2 was the most abundant phytoplankton species and chlorophyceae the most dominant taxa. The rainy season zooplankton species richness values (5 in pond 2) were higher than that of the dry season (3 in pond 3) with the highest Shannon-Weaner index value of 0.3501 recorded in pond 1. The most abundant zooplankton species Asplanchna species 57 was recorded in pond 2. Significant differences (p < 0.05) was observed for phytoplankton and zooplankton species between the ponds. Physico-chemical parameters had influence on the distribution and diversity of planktons in the fish ponds.

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“…Microbial indicators can be used in a variety of ways to detect environmental pollutants in water including the use of bioluminescent bacteria. The presence of toxins in waters can be easily monitored either by changes in the digestion system of microbes which is hindered or disturbed by the presence of toxins which may result in changes in the amount of light emitted by the bacteria (Arora 1966;Grizzle 1984;Butterworth et al 2001;Uttah et al 2008). In comparison to other available traditional tests, these tests are very quick to monitor; however, their limitation is they can only indicate the changes in the organisms due to presence of toxins (Malik & Bharti 2012;Khatri & Tyagi 2015).…”

Section: Microbial Indicatorsmentioning

confidence: 99%

“…Presence of lead Uttah et al (2008) B. dolabrotus High turbidity due to suspended sediments Grizzle (1984) Copepods (Cyclops & phyllodiaptomus)…”

Section: Phytoplanktonmentioning

confidence: 99%

Bioindicators: the natural indicator of environmental pollution

Parmar

Rawtani

Agrawal

2016

Frontiers in Life Science

527

183

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Bioindicators are living organisms such as plants, planktons, animals, and microbes, which are utilized to screen the health of the natural ecosystem in the environment. They are used for assessing environmental health and biogeographic changes taking place in the environment. Each organic entity inside a biological system provides an indication regarding the health of its surroundings such as plankton responding rapidly to changes taking place in the surrounding environment and serving as an important biomarker for assessing the quality of water as well as an indicator of water pollution. Even the health of aquatic flora is best reflected by plankton, which acts as an early warning signal. In this review we have tried to explain the concept behind Bioindicators and plankton, with particular emphasis on their potential to be used as Bioindicators for water quality assessment and outcomes relating to this. ARTICLE HISTORY

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Bio-survey of Plankton as indicators of water quality for recreational activities in Calabar River, Nigeria

Cited by 26 publications

References 5 publications

Phytoplankton community and limnology of Chatla floodplain wetland of Barak valley, Assam, North-East India

Phytoplankton community and limnology of Chatla floodplain wetland of Barak valley, Assam, North-East India

Plankton Distribution and Diversity in Tropical Earthen Fish Ponds

Bioindicators: the natural indicator of environmental pollution

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