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Water quality and algal diversity of fish ponds and dam reservoir in gesedaddo farms, yola, adamawa state, nigeria

 

Table Of Contents


Chapter ONE

1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Research
1.9 Definition of Terms

Chapter TWO

2.1 Overview of Water Quality
2.2 Importance of Algal Diversity in Aquatic Ecosystems
2.3 Factors Influencing Water Quality in Fish Ponds
2.4 Algal Diversity in Dam Reservoirs
2.5 Impact of Algal Blooms on Aquatic Life
2.6 Management Practices for Water Quality in Fish Ponds
2.7 Ecological Role of Algae in Aquatic Environments
2.8 Algal Diversity Assessment Methods
2.9 Studies on Water Quality in Nigerian Fish Farms
2.10 Comparative Analysis of Algal Diversity in Fish Ponds and Dam Reservoirs

Chapter THREE

3.1 Research Methodology Overview
3.2 Study Area Description
3.3 Sampling Techniques
3.4 Data Collection Methods
3.5 Water Quality Parameters Analysis
3.6 Algal Diversity Assessment Procedures
3.7 Statistical Analysis Methods
3.8 Ethical Considerations

Chapter FOUR

4.1 Water Quality Analysis Results
4.2 Algal Diversity Findings in Fish Ponds
4.3 Algal Diversity Findings in Dam Reservoirs
4.4 Comparison of Water Quality Parameters
4.5 Correlation Analysis of Water Quality and Algal Diversity
4.6 Discussion on Management Strategies
4.7 Implications for Aquatic Ecosystem Health
4.8 Recommendations for Future Research

Chapter FIVE

5.1 Conclusion and Summary
5.2 Summary of Findings
5.3 Contributions to Existing Knowledge
5.4 Practical Implications
5.5 Suggestions for Policy and Practice

Project Abstract

The water quality and algal diversity of the stocked and unstocked ponds and the dam reservoir at Gesedaddo farms, Yola, Adamawa State, Nigeria, were assessed for ten months. Meteorological data were accessed from Modibbo Adama University of Technology, Yola. Physico-chemical parameters such as temperature, pH, transparency, conductivity dissolved oxygen, total dissolved solids (TDS),biochemical oxygen demand (BOD), magnesium, potassium, sodium, nitrates, sulphates, phosphates,and some trace elements (iron, copper, and zinc) were determined using standard methods. The drop count method was employed in algal microscopy. Algal diversityand species richness were determined using Margarlef and Shannon-Wiener indices. A total of forty algal taxa belonging to four divisions were found. They are Cyanophyta (26.47%), Chlorophyta (44.53%), Bacillariophyta (24.80%) and Euglenophyta (4.20%). All data were subjected to statistical analysis using Analysis of variance ANOVA, Duncan Multiple Range Test DMRT and Correlation coefficient. Tests of significance were done at P < 0.05 and P < 0.01 confidence levels. Water temperatures correlated positively with air temperatures, PO4, NO3, Fe, Na and Cu. Total hardness correlated negatively with pH, K, Mn and Zn. Air and water temperatures correlated positively with Navicula and Niptzschia spp. and negatively with Eudorina elegans and Trachelomonas spp.Seasonal variation of algal population revealed that Microcystis species a toxin producing blue-green alga was not recorded in wet season but were recorded in dry season. However, Micrasterias anindicator of clean water was recorded in the un-stocked fish pond. Phacus, Euglena, and Trachelomonas, indicators of organically polluted environment were recorded in dry season in the fish ponds but absent in dry season in the dam reservoir. The seasonal presence and absence of algal species in particular locations with the ambient physico-chemical parameters make them potential bioindicators for biomonitoring of the fish ponds. Anthropogenic activities in the catchment area affected the concentrations of chemicals in the dam reservoir and stocked fish pond. Chlorophycean indices were 0.96, 0.873 and 1.57 for the stocked fish pond, unstocked fish pond and the dam reservoir respectively, while the Myxophycean indices were 1.0, 0.839 and 1.80for the three locations respectively. These values suggest that fish ponds were oligotrophic and the dam reservoir eutrophic. The study recommends qualitative and quantitative studies of water quality for early signals of pollution for timely intervention.

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