Physicochemical influence on the spatial distribution of faecal bacteria and polychaetes in the Densu Estuary, Ghana

Akita, Lailah Gifty; Laudien, Jürgen; Akrong, Mark O.; Biney, Charles A.; Nyarko, Elvis; Addo, Seth Offei

doi:10.5897/ajest2020.2830

Cited by 8 publications

(2 citation statements)

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“…Similar results were obtained in most estuaries (Gambia River, Tasmanian Estuaries) where salinity influenced species distribution [33,47,48]. Others physicochemical factors, turbidity, depth, flow velocity, and their regular or irregular fluctuations at different time scales, have been identified as determinants in estuarine invertebrates ecology [3,49]. However, conductivity and salinity were the most important parameter responsible for spatial distribution of benthic macroinvertebrates in Azagny Channel.…”

Section: Discussionsupporting

confidence: 69%

Structure of Benthic Macroinvertebrate Assemblages in Azagny Channel (Côte d’Ivoire)

Konan

Coulibaly

Kamelan

et al. 2021

AJRiZ

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The Azagny Channel is an estuarine ecosystem connecting Ebrié Lagoon to Bandama River estuary and it is adjacent to Azagny National Park. The aim of this study was to provide the first data on diversity and structure of macroinvertebrates in this estuarine area. Physicochemical parameters were measured monthly in three sampling stations S1, S2 and S3, and the benthic Macroinvertebrates was collected using a Van Veen grab. A total of 28 taxa distributed among 20 families and 11 orders belonging to Annelida, Mollusca, Crustacean and Insecta were collected. The taxonomic richness and diversity were higher in S1 compared to S2 and S3, probably due to its proximity to Bandama estuary. The relative abundance revealed that mollusks represented mainly by Pachymelania aurita (16.04%), P. fusca (15.83%), Anodonta anatina (13.02%) dominated the species assemblage; followed by crustaceans with Macrobrachium vollenhovenii (31.87%) and Potamon sp. (5.01%). Canonical correspondence analysis revealed that the main factors that influenced macroinvertebrates distribution in Azagny Channel were conductivity, salinity and Total Dissolved Solids (TDS). There is a strong correlation between these three abiotic factors and their influence on species assemblage would be linked to proximity of study area to Atlantic Ocean. These findings provide valuable information that can be used to establish biotic indices to monitor the water quality of Azagny Channel.

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Section: Discussionsupporting

confidence: 69%

Structure of Benthic Macroinvertebrate Assemblages in Azagny Channel (Côte d’Ivoire)

Konan

Coulibaly

Kamelan

et al. 2021

AJRiZ

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“…As revealed by Recknagel [20], machine learning has been effectively applied to ecological modeling and ecological time-series modeling and is also applicable in Fisheries. Synonymous to the outcomes of simulation using machine learning algorithm in this study, physicochemical particularly pH has been reported to influence the spatial distribution of species in Densu Estuary [21]. Also, the number of fish species and water physico-chemical have both very strong negative and positive correlation [22].…”

Section: Discussionmentioning

confidence: 55%

Numerical Simulations and Fish Diversity in Relation to Physico-chemical Parameters of Four Aquatic Stations in Badagry Division, Lagos, Nigeria

Olarinde,

Olabode,

Senapon

et al. 2023

AJFAR

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Aim: This study investigated common fish assemblages in four aquatic stations (Gbaji, Topo, Agboju and Ajegunle) in relation to physico-chemical parameters of its water and as well simulates numerical values of the physico-chemical parameters for year 2024. Methodology: Data were collected and computed using standard methods and algorithm machine learning model respectively. Statistical tools employed include ANOVA and Pearson correlation (r) test. All the parameters (except turbidity, chemical oxygen demand and biochemical oxygen demand) were within standard permissible limits. Results: The results of Pearson’s correlation analysis showed that increase in amount of fish species in the sampling stations was significantly and strongly linked to the decrease in value of biochemical oxygen demand (r = −0.571, P=.05), total dissolved solids (r= −0.696, P=.05) and conductivity (r=−0.882, P<0.01) while increase in number of fish species was significantly and strongly linked to the increase in value of dissolved oxygen(r= 0.991, P=.05). However, salinity (r= 0.387), sulphate (r = 0.212) and turbidity (r= 0.282) had weak positive relationship with the number of fish species. The prediction by the machine learning algorithm modeling system revealed that at Agboju, total hardness would exceed permissible limit in February and September, carbondioxide (C02) in February, May and June, 2024.On the other hand, level of C02 at Ajegunle would exceed permissible limit in January, May, August and September, and total hardness in November, 2024. For both Agboju and Ajegunle, turbidity and chemical oxygen demand level would exceed limits throughout the months in year 2024. Conclusion: Hence, effects of higher parameters could results in declination of distribution of demersal fish species which often shuttle between the water bottom and surface.

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Preliminary assessment of the water quality of Rushikulya estuary based on the abundance of pathogenic bacteria

Panda,

Sundaray,

Mishra

et al. 2023

Environ Monit Assess

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Physicochemical influence on the spatial distribution of faecal bacteria and polychaetes in the Densu Estuary, Ghana

Cited by 8 publications

References 10 publications

Structure of Benthic Macroinvertebrate Assemblages in Azagny Channel (Côte d’Ivoire)

Structure of Benthic Macroinvertebrate Assemblages in Azagny Channel (Côte d’Ivoire)

Numerical Simulations and Fish Diversity in Relation to Physico-chemical Parameters of Four Aquatic Stations in Badagry Division, Lagos, Nigeria

Preliminary assessment of the water quality of Rushikulya estuary based on the abundance of pathogenic bacteria

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