<p>
</p><p>1.0 <br>Introduction … … … … … … … … 1</p><p>1.1 Background of the Study … … … … … … 1</p><p>1.2 Statement<br>of Research Problem … … … … … 8</p><p>1.3 Aim of<br>the Study … … … … … … … 8</p><p>1.4 Objectives of the Study … … … … … … 8</p><p><b>
Chapter TWO
</b></p><p>2.0 Literature Review … … … … … … … 9</p><p>2.1 Aquatic macrophyetes … … … … … … 11</p><p>2.2 Emergent Macrophytes … … … … … … 11</p><p>2.3 Free-floating macraphytes … … … … … … 12</p><p>2.4 Submerged macrophytes … … … … … … 12</p><p>2.5 Impact of Aquatic Macrophytes on their<br>Environment … 13</p><p><b>
Chapter THREE
: MATERIALS AND METHODS</b></p><p>3.1 Study<br>Area … … … … … … … … 16</p><p>3.2 Vegetation<br>Sampling and Collection of Water Samples … … 16</p><p>3.3 Quantitative<br>Determination of Vegetation Parameters … … 17</p><p>3.3.1 Density … … … … … … … … 17</p><p>3.3.2 Frequency … … … … … … … … 17</p><p>3.4 Analysis of the Water Samples … … … … … 17</p><p>3.4.1<br> Conductivity Determination … … … … … 18</p><p>3.4.2 Total Dissolved Solids (TDS) Determination … … … 18</p><p>3.4.3 Temperature Determination … … … … … 18</p><p>3.4.4 Phosphate Determination … … … … … … 19</p><p>3.4.5 Nitrate Determination … … … … … … 19</p><p>3.4.6 Total Suspended Solids Determination … … … … 20</p><p>3.4.7 pH Determination … … … … … … … 20</p><p>3.4.8 Determination of Dissolved Oxygen (DO) … … … 20</p><p>3.4.9 Determination of Biological Oxygen Demand<br>(BOD) … … 20</p><p>3.4.10 Salinity … … … … … … … … 21</p><p>3.4.11 Turbidity … … … … … … … … 21</p><p>3.4.12 Chemical Oxygen Demand (COD)<br> … … … … 22</p><p>3.4.13 Alkalinity Determination … … … … … … 23</p><p>3.4.14 Chloride Determination … … … … … … 23</p><p>3.5 Statistical Analysis … … … … … … … 24</p><p><b>
Chapter FOUR
: RESULTS<br></b></p><p>4.1 Results … … … … … … … … 25</p><p>4.1.1 Vegetation<br>Characteristics of the Pond … … … … 25</p><p>4.1.2 Physicochemical<br>Characteristics of Water … … … 27</p><p><b>
Chapter FIVE
: DISCUSSION,</b><b> CONCLUSION AND RECOMMENDATION</b></p><p>5.1 Discussion … … … … … … … … 36</p><p>5.2 Conclusion … … … … … … … … 39</p><p>5.3 Recommendation … … … … … … … 40</p><p><b>REFERENCES<br></b></p><p><b>LIST OF TABLES</b></p><p>Table 4.1: Vegetation Characteristics of the ponds … … … 26</p><p>Table 4.2: Physicochemical Characteristics within<br>the ponds … … 29</p><p><b>LIST OF FIGURES</b></p><p>Figure 1 Regression of density of <i>Nymphaea lotus</i> with pH … 20</p><p>Figure 2 Regression of density of <i>Nymphaea lotus</i> with BOD … 31</p><p>Figure 3 Regression of density <i>of Nymphaea lotus</i> with DO … 31</p><p>Figure 4 Regression of density of <i>Nymphaea lotus</i> with phosphates – 32</p><p>Figure 5 Regression of density of <i>Nymphaea lotus</i> with nitrates … 32</p><p>Figure<br>6 Regression of density of <i>Cryptosperma senegalense</i> with pH … … … … … &nb</p>
<br><p></p>
Project Abstract
Macrophyte distribution in relation to
water quality parameters in roadside ponds was studied in a seasonal wetland at
Mkpat EninLocal Government Area of
Akwa Ibom State. Systematic sampling method was used in sampling the vegetation
using a quadrant of 5mx5m space at regular intervals. The vegetation parameters such as density and frequency were
determined. Water sample was also collected at different point in the pond and
their physiochemical characteristic were analysed. Ten (10) flora species belonging
to 10 families were recorded. Cryptosperma
senegalense was the species with the highest richness with density value of
(9500±150.63st/ha) and this followed by Nymphea
lotus (6000±138.36st/ha). The least density value was associated with Alchornea cordifolia (300±43.54st/ha). Crypstosperma senegalense also had the highest
frequency (100%) while the least frequency value of 25% was associated with
species such as Alchornea cordifolia,
Heteranthera cordifolia, Lygodium sp. and physalis angulata respectively. This study shows that water
properties have substantial effect on the distribution of macrophyte species
and that the density of each species correlated positively or negatively with
water parameters. The study provides a baseline information towards the
monitoring and management of ponds and other wetland ecosystems within the
State.