Interactions of Ipomoea aquatica and Utricularia reflexa with phytoplankton densities in a small water body in northern Nigeria

Chia, Mathias Ahii; Adelanwa, M. A.; Ladan, Zakari; Iortsuun, Dora Nguemo; Adanyi, Sewuese E.; Stephen, Bala John

doi:10.2478/s13545-012-0015-1

Cited by 10 publications

(6 citation statements)

References 34 publications

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“…The differences in zooplankton distributions and assemblage in this study may be due to sampling space, time and the dynamic nature of aquatic systems (Iloba 2019). Changes in zooplankton populations in Dangana lake could be attributed to different species having their nutritional requirement of different temperature, pH, DO, BOD5 and nutrients (Chia et al 2012). High nutrient level, high concentration of nitrate, and phosphate favor the growth of Baccillariophyta which forms the major diet of zooplankton (Chia et al 2012).…”

Section: Zooplankton Structural Assemblage and Diversitymentioning

confidence: 99%

Zooplankton community structure of a tropical lake in a Northcentral State, Nigeria

Ebesi,

Mohammed,

Iloba

et al. 2022

Ruhuna J. Sci.

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One of the biological components that play a vital role in the ecological integrity of an aquatic ecosystem is zooplankton. These organisms are good indicators of stressors, especially anthropogenic stressors in their environment. Thus, there is a need to study the diversity in a diversified freshwater lake (Dangana Lake) in order to provide baseline information and knowledge on the status of the lake for proper and adequate water preservation and conservation. In addition to the zooplankton structure determination, the study also examined the physicochemical parameters of the Lake. Three sampling sites were identified with distinct characteristics where water and zooplankton samples were collected for physicochemical analyses and biotic identification using standard protocols. Sampling was conducted for a duration of eight months. The monitored physicochemical parameters, i.e., temperature, dissolved oxygen (DO), biochemical oxygen demand (BOD5) and pH revealed no significant difference (p>0.05) among sampling sites. However, significance (p<0.05) amongst sampling sites was recorded in electrical conductivity, nitrate and phosphate. Seasonally, there was a significant difference (p<0.05) among sampling months in all the monitored parameters. A total of ten species of zooplankton were recorded with four species each of rotifera and copepoda and two species of cladocera. The order of abundance of zooplankton population was rotifera (56.39%), copepoda (29.18%) and cladocera (14.42%). Zooplankton population was significantly (p<0.05) higher during the dry season than in the rainy season. The Canonical correspondence analysis (CCA) revealed a strong correlation between the zooplankton and physicochemical parameters. Ipso-facto, the lake exhibited spatiotemporal changes in zooplankton composition and physicochemical parameters during the sampling period.

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Section: Zooplankton Structural Assemblage and Diversitymentioning

confidence: 99%

Zooplankton community structure of a tropical lake in a Northcentral State, Nigeria

Ebesi,

Mohammed,

Iloba

et al. 2022

Ruhuna J. Sci.

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“…Phytoplankton Assemblage of Dangana Lake Plankton abundance and distribution are affected by seasonal changes of both physical and chemical parameters as well as microplant life in aquatic environments [31]. Changes in plankton population in the lake could be distributed to various species having t different nourishment in temperature, pH, Do, BODs and nutrients [32]. High nutrient levels such as nitrate and phosphate enhance the growth of Baccillariophyta which forms the major diet of zooplankton [32].…”

Section: Spatial and Temporal Variation Inmentioning

confidence: 99%

“…Changes in plankton population in the lake could be distributed to various species having t different nourishment in temperature, pH, Do, BODs and nutrients [32]. High nutrient levels such as nitrate and phosphate enhance the growth of Baccillariophyta which forms the major diet of zooplankton [32]. In this study a significant abundance of some phytoplankton species were observed this could be attributed to increase in the intensity of solar radiation that can be captured by phytoplankton, hence increased photosynthesis and other metabolic activities which lead to a subsequent increase in population density of planktons [12,33].…”

Section: Spatial and Temporal Variation Inmentioning

confidence: 99%

Spatio-temporal Assessment of Phytoplankton and Physicochemical Parameters of Dangana Lake, Lapai, Niger State Nigeria

Adamu

Mohammed

et al. 2021

JALSI

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Dangana Lake was constructed primarily to provide water for drinking, domestic activities and control flood. Phytoplankton assemblage and physicochemical parameters of Dangana Lake, Lapai, Niger State Nigeria were investigated monthly between March and October 2019 using standard methods and procedures. Water samples were collected from 3 different stations in the Lake. The result of the lake shows water temperature (23.2-29.5ºC), Biochemical oxygen Demand (2.30-3.91mg/l), Dissolved oxygen (3.40-4.70mg/l), water pH (6.10-7.5), Electrical conductivity (60.00-121µS/cm), Nitrates (0.30-1.05mg/l) and Phosphate (0.53-1.75mg/l). Temperature, DO, BOD5, and pH shows no significant difference (p>0.05) among sampling sites, however, Electrical conductivity, Nitrate and Phosphate differs significantly among sampling sites (p<0.05). Seasonally there was a significant difference (p<0.05) among sampling months in all the physicochemical parameter measures. A total of Seventeen (17) species of phytoplankton in six (6) families were encountered. The percentage abundant of phytoplankton revealed Bacillariophyta (36.84%), Dinophyta (33.38%), Chlorophyta (17.05%), Heterokontophyta (6.93%) Cyanophyta, (4.76%), and Euglenophyta (1.02%). Phytoplankton population was significantly higher during the dry season than in the raining season. The Canonical Correspondence analysis (CCA) correlated positively between the measured physicochemical parameters and the observed organisms. The nutrient status of the lake shows a medium range as indicated by the measured environmental parameters.

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“…Successional studies show that the occurrence of Cylindrospermopsis blooms is usually accompanied by the presence of chlorophytes of the genera Monoraphidium and Scenedesmus (Bouvy et al 1999(Bouvy et al , 2006Kokociński et al 2010). Furthermore, there is evidence of the alternation between the dominance of green microalgae and cyanobacteria in different aquatic ecosystems (Zalocar de Domitrovic et al 2007;Chia et al 2012). However, the chemical interactions involved in this successional process are still not comprehensively understood.…”

Section: Introductionmentioning

confidence: 99%

The effect of saxitoxin and non-saxitoxin extracts of Cylindrospermopsis raciborskii (Cyanobacteria) on cyanobacteria and green microalgae

et al. 2015

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The effect of saxitoxins (STX) on phytoplankton species is poorly understood. To date, no correlation between STX concentrations and phytoplankton physiology has been reported. We investigated the effect of STX (STX+, 0.5-10 μg L −1 total STX) and non-STX (STX−, 0.5-10 μg L −1 total STX biomass equivalent) extracts of Cylindrospermopsis raciborskii on Microcystis wesenbergii BCCUSP11, Microcystis aeruginosa BCCUSP232 (microcystin producing), Scenedesmus acuminatus UFSCar036, and Monoraphidium convolutum CMEA/UFF0201 under controlled laboratory conditions. Both STX+ and STX− extracts inhibited the cell density and specific growth rate of M. wesenbergii, M. aeruginosa, and S. acuminatus. However, the effect of STX+ extract on the phytoplankton strains was significantly higher than that of STX− extract. M. convolutum, on the other hand, was tolerant as both STX+ and STX− extracts did not significantly reduce its cell density and specific growth rate (day −1). The exposure of M. aeruginosa to STX+ and STX− resulted in higher total (intracellular and extracellular) microcystin concentration than the control. STX concentrations had a significant negative correlation with cell density and growth response of the phytoplankton strains investigated in this study. Conclusions can be made that although both STX+ and STX− extracts of C. raciborskii inhibited the growth of some phytoplankton species, the STX+ extracts were more toxic. Keywords Growth inhibition. Cyanotoxins. Phytoplankton. dc-Saxitoxin. Neo-saxitoxin. Microcystins on sodium channels in both prokaryotes and eukaryotes (Neilan et al. 2013). STX are of high ecotoxicological risk due to the toxicity they induce in fish, mussels, copepods, mammals, and birds (Landsberg 2002). A number of cyanobacteria such as Aphanizomenon flos-aquae, Cylindrospermopsis raciborskii, Lyngbya spp., and Anabaena spp. synthesize STX in freshwater ecosystems. However, the production of this group of toxins tends to be strain specific (Molica et al. 2002; Bernard et al. 2003; Wiegand and Pflugmacher 2005; Al-Tebrineh et al. 2010). The discovery that C. raciborskii produces STX and cylindrospermopsin has made it an important cyanobacterium to be monitored in aquatic ecosystems. This is due to the increased frequency of its occurrence, scientific interest, improved water quality monitoring, availability of suitable habitat, and in some cases, its invasion of new habitats (Figueredo et al. 2007; Kling 2009; Sukenik et al. 2012). The cosmopolitan and increasing distribution of C. raciborskii is easily traced to its ecophysiological adaptation and tolerance to changing physicochemical

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Interactions of Ipomoea aquatica and Utricularia reflexa with phytoplankton densities in a small water body in northern Nigeria

Cited by 10 publications

References 34 publications

Zooplankton community structure of a tropical lake in a Northcentral State, Nigeria

Zooplankton community structure of a tropical lake in a Northcentral State, Nigeria

Spatio-temporal Assessment of Phytoplankton and Physicochemical Parameters of Dangana Lake, Lapai, Niger State Nigeria

The effect of saxitoxin and non-saxitoxin extracts of Cylindrospermopsis raciborskii (Cyanobacteria) on cyanobacteria and green microalgae

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