<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">GEP</journal-id><journal-title-group><journal-title>Journal of Geoscience and Environment Protection</journal-title></journal-title-group><issn pub-type="epub">2327-4336</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/gep.2017.511012</article-id><article-id pub-id-type="publisher-id">GEP-80489</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Earth&amp;Environmental Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Proliferation of &lt;i&gt;Salvinia molesta&lt;/i&gt; at Lake Kyoga Landing Sites as a Result of Anthropogenic Influences
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Morgan</surname><given-names>Andama</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Robert</surname><given-names>Ongom</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ben</surname><given-names>Lukubye</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Biology, Faculty of Science, Mbarara University of Science and Technology, Mbarara, Uganda</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>andamamorgan@gmail.com(MA)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>02</day><month>11</month><year>2017</year></pub-date><volume>05</volume><issue>11</issue><fpage>160</fpage><lpage>173</lpage><history><date date-type="received"><day>26,</day>	<month>September</month>	<year>2017</year></date><date date-type="rev-recd"><day>19,</day>	<month>November</month>	<year>2017</year>	</date><date date-type="accepted"><day>22,</day>	<month>November</month>	<year>2017</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Salvinia 
  molesta (native of south-eastern Brazil) is a free floating aquatic fern that has spread to several countries around the globe including Uganda. Under optimum growing conditions, the plant is capable of spreading rapidly where it can have immense environmental, economic and human health impacts. Thick mats of the weed have been recorded in some parts of Lake Kyoga, Uganda where it hinders the abstraction of water, docking and boat take-off, bathing and swimming activities. Therefore this study aimed to determine the extent of 
  S. 
  molesta at selected landing sites in Lake Kyoga and the influence of anthropogenic activities on the weed coverage as well as the effect of physico-chemical parameters of the water on the development of the weed. Quadrats were used to ascertain the coverage of 
  S. 
  molesta while the physico-chemical parameters were determined by standard methods. The results showed significant positive correlation of 
  S. 
  molesta weed coverage with phosphates (PO
  <sub>4</sub>-P) and negative correlations with pH, dissolved oxygen (DO) and water flow rate. Though statistically insignificant waste sites recorded the highest overall 
  S. 
  molesta coverage (82.61 &#177; 21.12 m
  <sup>2</sup>) per 400 m
  <sup>2</sup> quadrat followed by boat docks (82.24 &#177; 19.45 m
  <sup>2</sup>), gardens (50.93 &#177; 11.82 m
  <sup>2</sup>) and finally fishing areas (27.94 &#177; 5.93 m
  <sup>2</sup>) respectively. The overall weed coverage was highest around the shoreline locations of Acholi inn landing site (101.72 &#177; 22.89 m
  <sup>2</sup> per 400 m
  <sup>2</sup>) followed by Masindi port (60.39 &#177; 15.64 m
  <sup>2</sup>), Waitumba (41.89 &#177; 10.55 m
  <sup>2</sup>) and the least in the offshore location at Kayei landing site (39.71 &#177; 10.17 m
  <sup>2</sup>). 
  Salvinia 
  molesta distribution in Lake Kyoga is linked to nutrient (PO
  <sub>4</sub>-P) supply, proximity to the shoreline and the associated anthropogenic activities. Hence waste sites, gardens and boat docks enhance 
  S. 
  molesta invasion in Lake Kyoga. Therefore, sources of nutrients (phosphates) into Lake Kyoga that favour the proliferation of 
  S. 
  molesta should be minimized through adequate waste treatment and prohibition of cultivation close to the lake. 
  Salvinia 
  molesta coverage along the routes of moving boats should also be contained so as to reduce the spread of the weed in the lake through boat movements. Furthermore, eradication efforts of 
  S. 
  molesta weed in Lake Kyoga should be heightened at the shoreline areas of the lake in the various landing sites within the lake basin.
 
</p></abstract><kwd-group><kwd>Freshwater</kwd><kwd> Human Activities</kwd><kwd> Invasive Weed</kwd><kwd> Management</kwd><kwd> Uganda</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Lake Kyoga is a large shallow lake in Uganda of about 1720 km<sup>2</sup> (660 sq. miles) in area with mean depth of 3.6 m and maximum depth of 6 m [<xref ref-type="bibr" rid="scirp.80489-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.80489-ref2">2</xref>] . About 9.3 million people inhabit Lake Kyoga Basin and their major economic activity is agricultural productivity (crop growing and livestock farming) practiced by 85% of the population [<xref ref-type="bibr" rid="scirp.80489-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.80489-ref3">3</xref>] . Fishing is also carried out on the lake by an estimated 200,000 people and the lake is used for inland water transport as well as source of water for drinking and other domestic uses for most of the inhabitants in the lake basin [<xref ref-type="bibr" rid="scirp.80489-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.80489-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.80489-ref6">6</xref>] . Unfortunately, Lake Kyoga has been invaded by the free-floating aquatic weed, giant Salvinia molesta D.S. Mitchell with a high potential to infest the numerous satellite lakes in Kyoga Basin [<xref ref-type="bibr" rid="scirp.80489-ref7">7</xref>] . Therefore, there is an urgent need to collect baseline data and information on the extent of S. molesta infestation in the Kyoga Basin lakes [<xref ref-type="bibr" rid="scirp.80489-ref7">7</xref>] .</p><p>Salvinia molesta belongs to Order Hydropteridales, Family Salvinanceae and genus Salvinia with about 12 species which are all native to South America [<xref ref-type="bibr" rid="scirp.80489-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.80489-ref9">9</xref>] . Salvinia molesta formally existed only in South America, but since the 1940s the weed has been dispersed by humans to different tropical and subtropical countries in Africa, Asia, and Australia [<xref ref-type="bibr" rid="scirp.80489-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.80489-ref11">11</xref>] as well as USA in the recent years [<xref ref-type="bibr" rid="scirp.80489-ref12">12</xref>] . The plant is known by a number of common names such as giant Salvinia, Kariba weed, aquarium water moss, water fern, and giant azalea etc. These names often reflect the environment the weed inhabits or its invasiveness [<xref ref-type="bibr" rid="scirp.80489-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.80489-ref14">14</xref>] . The weed is called “Nankabirwa” by locals in Uganda, due to lack of a native name [<xref ref-type="bibr" rid="scirp.80489-ref15">15</xref>] .</p><p>The free-floating S. molesta weed comprises of an underneath horizontal rhizome which lies close to the water surface [<xref ref-type="bibr" rid="scirp.80489-ref16">16</xref>] . It has two types of leaves (buoyant and submerged leaves) attached to each node of the rhizome. The submerged leaves of S. molesta are modified to perform the function of roots as the weed does not have true roots [<xref ref-type="bibr" rid="scirp.80489-ref17">17</xref>] . S. molesta exhibits several morphological variations ranging from slender floating plant with less than 15-mm wide leaves to a robust plant having leaves up to 60-mm wide brought about by crowding and nutrient availability in the habitat [<xref ref-type="bibr" rid="scirp.80489-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.80489-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.80489-ref19">19</xref>] . The weed is capable of spreading easily over water bodies using its floating structures and even survives in unfavourable environments using the most suitable growth form [<xref ref-type="bibr" rid="scirp.80489-ref20">20</xref>] . It seemingly produces only sterile spores, hence reproduces entirely by vegetative means which can be extremely rapid under suitable conditions [<xref ref-type="bibr" rid="scirp.80489-ref18">18</xref>] . For instance, S. molesta can double in biomass in 2 to 3 days under favourable conditions [<xref ref-type="bibr" rid="scirp.80489-ref21">21</xref>] . This enables S. molesta to out-compete other plant species and completely cover the water surface with mats as thick as 1 m [<xref ref-type="bibr" rid="scirp.80489-ref22">22</xref>] .</p><p>Salvinia molesta has been recently added onto the list of the world’s 100 most invasive species and ranks second to water hyacinth (Eichhornia crassipes, (Mart.) Solms-Laub.) as the most invasive aquatic plant in the world due to its environmental, economic and human health impacts [<xref ref-type="bibr" rid="scirp.80489-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.80489-ref24">24</xref>] . S. molesta poses similar problems as those posed by Water Hyacinth and Water Lettuce including clogging canals, rivers and lakes; displacing native plants and animals; and interfering with irrigation, navigation, fishing and electric power generation activities [<xref ref-type="bibr" rid="scirp.80489-ref25">25</xref>] . The thick mat formed by the weed covers the water surface and blocks light penetration into the water. The thick mat also severely reduces dissolved oxygen content (DO) in aquatic ecosystems sometimes resulting into fish kills [<xref ref-type="bibr" rid="scirp.80489-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.80489-ref14">14</xref>] . For the case of Lake Kyoga, the thick mats of S. molesta on the lake (<xref ref-type="fig" rid="fig1">Figure 1</xref>) have hampered activities such as abstraction of water by surrounding communities, watering of domestic animals, docking and boat take-off, bathing and swimming [<xref ref-type="bibr" rid="scirp.80489-ref7">7</xref>] .</p><p>Fortunately S. molesta weed has been successfully managed in other countries e.g. lake Moondara, Australia where the weed had threatened the biodiversity and the life of the lake [<xref ref-type="bibr" rid="scirp.80489-ref26">26</xref>] . Studies in Australia showed that successful management of Salvinia molesta is achieved through integrated control strategies combining herbicide spraying, biological control agents and mechanical removal including the containment of the weed to keep some areas free of S. molesta [<xref ref-type="bibr" rid="scirp.80489-ref27">27</xref>] . The control strategy depends on the level of infestation and the conditions in the areas of infestation [<xref ref-type="bibr" rid="scirp.80489-ref27">27</xref>] . However, the best management practices for Salvinia in Africa can be found from those countries (e.g. Zimbabwe and Kenya) where the weed is non native but has apparently not led to major disruptions to use of water resources [<xref ref-type="bibr" rid="scirp.80489-ref7">7</xref>] as well as Senegal, Mauritania [<xref ref-type="bibr" rid="scirp.80489-ref17">17</xref>] and South Africa [<xref ref-type="bibr" rid="scirp.80489-ref28">28</xref>] among other countries where successful control by biological agent (Cyrtobagous</p><p>salviniae) was achieved. The use of Cyrtobagous salviniae biological agent to control S. molesta in these countries was based on the outstanding success of Cyrtobagous salviniae in Australia and Papua New Guinea [<xref ref-type="bibr" rid="scirp.80489-ref29">29</xref>] [<xref ref-type="bibr" rid="scirp.80489-ref30">30</xref>] [<xref ref-type="bibr" rid="scirp.80489-ref31">31</xref>] [<xref ref-type="bibr" rid="scirp.80489-ref32">32</xref>] .</p><p>Nevertheless, planning a management strategy for S. molesta involves identification of the source of the infestation, mapping the infestation, identification and minimising sources of nutrients entering the water body [<xref ref-type="bibr" rid="scirp.80489-ref27">27</xref>] . The nutrient sources include livestock handling areas, garden runoff, cropping and agriculture, erosion of cultivated land, urban sewage outflows and industrial wastewater among others [<xref ref-type="bibr" rid="scirp.80489-ref27">27</xref>] . For the case of Lake Kyoga, gully erosion, wastes from human activities and livestock are the potential sources of nutrients (mainly phosphorus and nitrogen) into the lake [<xref ref-type="bibr" rid="scirp.80489-ref33">33</xref>] [<xref ref-type="bibr" rid="scirp.80489-ref34">34</xref>] . The generated wastes in Lake Kyoga catchment are untreated with high levels of pollutants like phosphates and nitrates [<xref ref-type="bibr" rid="scirp.80489-ref6">6</xref>] . These nutrients create favourable conditions for Salvinia molesta infestation of Lake Kyoga.</p><p>However, there has been inadequate study and management of S. molesta weed on Lake Kyoga as evidenced by the outcry of the people in Lake Kyoga basin from Salvinia infestation with its devastating environmental and socio-eco- nomic impacts [<xref ref-type="bibr" rid="scirp.80489-ref7">7</xref>] . Hence an urgent intervention to control the noxious S. molesta weed in Lake Kyoga is required so as to fully use and exploit the resources of the lake. This study therefore determined the proliferation of Salvinia molesta weed at selected landing sites in Lake Kyoga as a result of anthropogenic influences and some physico-chemical parameters that favour the multiplication of S. molesta in Lake Kyoga in a bid to control the weed.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Location of Study Area</title><p>Lake Kyoga (<xref ref-type="fig" rid="fig2">Figure 2</xref>) lies on the central African plateau (altitude of 1100 m), north of Lake Victoria at coordinates 1˚15' - 1˚45'N; 31˚31' - 33˚31'E. It is the largest lake among the Kyoga aquatic system [<xref ref-type="bibr" rid="scirp.80489-ref35">35</xref>] . Dense swamps (2000 km<sup>2</sup> in area) comprising mainly of extensive mats of Cyperus papyrus L. surround the shores of Lake Kyoga and the numerous tributaries of the lake [<xref ref-type="bibr" rid="scirp.80489-ref36">36</xref>] [<xref ref-type="bibr" rid="scirp.80489-ref37">37</xref>] . These wetlands create small bays close to the shorelines of the lake which support the establishment of S. molesta [<xref ref-type="bibr" rid="scirp.80489-ref23">23</xref>] . The lake is surrounded by fishing villages with the people using boats for fishing and inland water transport hence there are several boat landing sites along the shores of the lake. Furthermore, garbage from peoples’ homes and surrounding hotels are damped near the lake and cultivation is also done close to the lake. These anthropogenic activities are practiced at all the landing sites in the Lake Kyoga basin. Therefore, in order to determine the extent of S. molesta coverage as influenced by the anthropogenic activities (boat dock, waste site, garden, fishing), four landing sites on Lake Kyoga namely; Waitumba at geographical coordinates (1.6993˚N, 32.0988˚E), Masindi port (1.6986˚N, 32.0982˚E), Acholi inn (1.6726˚N, 32.2601˚E) and Kayei (1.6767˚N, 32.3934˚E) were purposively selected for the study. The sampling</p><p>points at Waitumba, Masindi port and Acholi inn landing sites were close to the shoreline of the lake while the sampling points at Kayei landing site were slightly offshore (<xref ref-type="fig" rid="fig2">Figure 2</xref>). The weed coverage was determined at or near waste sites (damping areas for mainly organic wastes from hotels and homes), garden, boat dock and fishing areas in the landing sites.</p></sec><sec id="s2_2"><title>2.2. Sampling and Determination of S. molesta Coverage in Lake Kyoga</title><p>The coverage of S. molesta was determined using the quadrat method [<xref ref-type="bibr" rid="scirp.80489-ref39">39</xref>] [<xref ref-type="bibr" rid="scirp.80489-ref40">40</xref>] [<xref ref-type="bibr" rid="scirp.80489-ref41">41</xref>] . Six plots (quadrats) each measuring 20 m by 20 m (400 m<sup>2</sup>) were randomly set at or near the identified anthropogenic activities (boat dock, waste site, garden and fishing areas) in the landing sites (Kayei, Acholi inn, Waitumba and Masindi port). Four boats were arranged in the water at a distance of 20 m from one another to form the square plot (400 m<sup>2</sup>) at each of the sampling sites. Various shapes/figures (e.g. rectangular, triangular, square etc) formed by the S. molesta mat on the surface of the water in the 400 m<sup>2</sup> area were established and their dimensions measured using a tape measure. The area of each shape/figure (square, rectangle, triangle) of S. molesta mat in the 400 m<sup>2</sup> area was then calculated and the total area of the weed coverage in the 400 m<sup>2</sup> area obtained by summing up the respective areas of the mats. Water samples were also collected and on-site measurements taken around the S. molesta mats in the study sites to determine the physico-chemical parameters that favour the multiplication of S. molesta or are compromised by its spread [<xref ref-type="bibr" rid="scirp.80489-ref38">38</xref>] . Field work was done in one sampling period starting from December, 2015 to January, 2016.</p></sec><sec id="s2_3"><title>2.3. Data Analysis</title><p>The data were summarized in form of descriptive statistics (minimum, maximum, standard deviation, mean, standard error of the mean) and presented in tables and bar graphs. Comparisons of S. molesta coverage across the various landing sites and anthropogenic activities were done using Kruskal Wallis (H) test while relationships between coverage and physico-chemical parameters explored using spearman’s correlation coefficient (r<sub>s</sub>) at 5% level of significance. Normality of data and homogeneity of variance confirmed using Kolmogorov Smirnov (KS) and Levene (L) tests respectively informed the choice of the test statistics. The analyses were done using Microsoft Excel 2007 and SPSS 20 Computer packages.</p></sec></sec><sec id="s3"><title>3. Results and Discussion</title>Salvinia molesta Coverage at Landing Sites and Anthropogenic Activities in Lake Kyoga<p>Salvinia molesta coverage exhibited high variability within samples in the different landing sites and anthropogenic activities i.e. coefficient of variation, CV (landing sites = 110.24% - 126.89%; human activities = 103.97% - 125.26%). Acholi inn landing site had the overall highest mean coverage followed by Masindi port, Waitumba and finally Kayei (<xref ref-type="table" rid="table1">Table 1</xref>) though the variations were insignificant (p &gt; 0.05). S. molesta coverage was the highest at the boat docks</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Descriptive statistics of Salvinia molesta coverage on Lake Kyoga across different landing sites and anthropogenic activities and comparison using Kruskal Wallis (H) test</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parameters</th><th align="center" valign="middle" >Location</th><th align="center" valign="middle" >Site/Activity</th><th align="center" valign="middle" >Min.</th><th align="center" valign="middle" >Max.</th><th align="center" valign="middle" >SD</th><th align="center" valign="middle" >CV (%)</th><th align="center" valign="middle" >Mean &#177; SE</th><th align="center" valign="middle" >H</th><th align="center" valign="middle" >p</th></tr></thead><tr><td align="center" valign="middle"  rowspan="8"  >S. molesta coverage (m<sup>2</sup>/400 m<sup>2</sup>) (n = 24)</td><td align="center" valign="middle"  rowspan="4"  >Landing Site</td><td align="center" valign="middle" >Kayei</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >194.56</td><td align="center" valign="middle" >49.81</td><td align="center" valign="middle" >125.46</td><td align="center" valign="middle" >39.71 &#177; 10.17</td><td align="center" valign="middle"  rowspan="4"  >5.57</td><td align="center" valign="middle"  rowspan="4"  >0.14</td></tr><tr><td align="center" valign="middle" >Acholi inn</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >382.83</td><td align="center" valign="middle" >112.13</td><td align="center" valign="middle" >110.24</td><td align="center" valign="middle" >101.72 &#177; 22.89</td></tr><tr><td align="center" valign="middle" >Waitumba</td><td align="center" valign="middle" >0.20</td><td align="center" valign="middle" >160.98</td><td align="center" valign="middle" >51.69</td><td align="center" valign="middle" >123.39</td><td align="center" valign="middle" >41.89 &#177; 10.55</td></tr><tr><td align="center" valign="middle" >Masindi port</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >347.48</td><td align="center" valign="middle" >76.63</td><td align="center" valign="middle" >126.89</td><td align="center" valign="middle" >60.39 &#177; 15.64</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Human Activity</td><td align="center" valign="middle" >Boat dock</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >306.71</td><td align="center" valign="middle" >95.29</td><td align="center" valign="middle" >115.87</td><td align="center" valign="middle" >82.24 &#177; 19.45</td><td align="center" valign="middle"  rowspan="4"  >4.10</td><td align="center" valign="middle"  rowspan="4"  >0.25</td></tr><tr><td align="center" valign="middle" >Waste site</td><td align="center" valign="middle" >5.59</td><td align="center" valign="middle" >382.83</td><td align="center" valign="middle" >103.47</td><td align="center" valign="middle" >125.26</td><td align="center" valign="middle" >82.61 &#177; 21.12</td></tr><tr><td align="center" valign="middle" >Garden</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >207.17</td><td align="center" valign="middle" >57.90</td><td align="center" valign="middle" >113.67</td><td align="center" valign="middle" >50.93 &#177; 11.82</td></tr><tr><td align="center" valign="middle" >Fishing</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >142.60</td><td align="center" valign="middle" >29.05</td><td align="center" valign="middle" >103.97</td><td align="center" valign="middle" >27.94 &#177; 5.93</td></tr></tbody></table></table-wrap><p>Not significant (p &gt; 0.05); Min.: minimum; Max.: maximum; SD: standard deviation; SE: Standard error of the mean; CV.: coefficient of variation; H used when data are not normally distributed (Kolmogorov- Smirnov p &lt; 0.05) and variances are different (Levene p &lt; 0.05).</p><p>followed by waste sites, gardens and fishing areas in Acholi inn and Waitumba landing sites (<xref ref-type="fig" rid="fig3">Figure 3</xref>) however the results were not significantly different. Boat docks in Acholi inn had significantly more weed coverage than those in Masindi port, Waitumba and Kayei landing sites respectively. Whereas the weed coverage was the highest at waste sites (damping areas for mainly organic wastes from hotels and homes) followed by boat docks, gardens and the least in the fishing areas in Masindi port (p &gt; 0.05). Waste sites also had the highest weed coverage followed by the gardens, fishing areas and finally the boat docks in Kayei landing site (p &gt; 0.05). Waste sites generally recorded the highest coverage of S. molesta followed by boat docks, gardens and lastly fishing areas and the difference however were insignificant. As there is poor waste management around African Great Lakes including Lake Kyoga [<xref ref-type="bibr" rid="scirp.80489-ref42">42</xref>] [<xref ref-type="bibr" rid="scirp.80489-ref43">43</xref>] , the high coverage of S. molesta around the waste sites is expected. According to Arti [<xref ref-type="bibr" rid="scirp.80489-ref14">14</xref>] , improper waste management transform ecosystems and lead to proliferation of invasive species. It is also worth noting that boat docks in Acholi inn had the highest weed coverage among all the studied sites.</p><p>Spearman’s correlation of S. molesta coverage with selected physico-chemical parameters [<xref ref-type="bibr" rid="scirp.80489-ref38">38</xref>] showed significant positive correlation with PO<sub>4</sub>-P (r<sub>s</sub> = 0.27, p = 0.01, n = 96). This is supported by previous studies which established that growth rates of S. molesta increase with increase in nutrients (e.g. phosphorus) supply [<xref ref-type="bibr" rid="scirp.80489-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.80489-ref44">44</xref>] . On the other hand, there were significant negative correlations with pH (r<sub>s</sub> = −0.23, p = 0.02, n = 96), dissolved oxygen (r<sub>s</sub> = −0.22, p = 0.03, n = 96) and water flow rate (r<sub>s</sub> = −0.46, p = 0.02, n = 24). According to Madsen and</p><p>Wersal [<xref ref-type="bibr" rid="scirp.80489-ref24">24</xref>] , S. molesta grows well at relatively lower pH than higher pH. When the authors investigated the growth rates of the weed in pH values between 5 and 8, increased biomass was obtained at pH of 6 and 6.5 compared to biomass at higher pH ranges. Furthermore, solid mats of S. molesta hinder gas exchange and often times build up carbon dioxide levels in the water column causing acidification of the waterway hence reduction of pH [<xref ref-type="bibr" rid="scirp.80489-ref45">45</xref>] . The above findings justify the negative correlation of S. molesta coverage with pH in the present study. The thick S. molesta mats also lower the concentration of dissolved oxygen in water column [<xref ref-type="bibr" rid="scirp.80489-ref46">46</xref>] hence explaining the negative correlation of dissolved oxygen with S. molesta coverage. The negative correlation of S. molesta coverage with water flow rate obtained in this study is expected since S. molesta grows best in stagnant or slowly moving waters [<xref ref-type="bibr" rid="scirp.80489-ref25">25</xref>] . Furthermore, flushing usually moves infestations of S. molesta according to van Oosterhout [<xref ref-type="bibr" rid="scirp.80489-ref27">27</xref>] .</p><p>The lower coverage of S. molesta in Kayei and higher coverage in the other landing sites (Acholi inn, Waitumba, Masindi port) can be respectively attributed to the offshore and shoreline locations of the sampling areas at the landing sites (<xref ref-type="fig" rid="fig2">Figure 2</xref>). According to Aloo et al. [<xref ref-type="bibr" rid="scirp.80489-ref47">47</xref>] , aquatic weeds thrive most along the shores of water bodies. In addition, CABI [<xref ref-type="bibr" rid="scirp.80489-ref23">23</xref>] reported that S. molesta prefers small bays and inlets of dissected shorelines with less wave action. Furthermore, Wanda et al. [<xref ref-type="bibr" rid="scirp.80489-ref7">7</xref>] found out that S. molesta was well established along most of the shoreline in the central and western zones of Lake Kyoga. In addition to protection of S. molesta from wave action, the shoreline areas are also richer in nutrients than the offshore locations due to their lower depths. Hecky and Bugenyi [<xref ref-type="bibr" rid="scirp.80489-ref48">48</xref>] obtained higher concentrations of phosphorus (P-PO<sub>4</sub>) near the mud surface (closer to the shoreline) than the upper photosynthetic zone. Hence the high coverage of S. molesta near the shoreline areas may be linked to the rich organic material usually found at the lake bottoms along the shorelines. This is reflected by the high phosphate (PO<sub>4</sub>-P) levels in Acholi inn landing site (<xref ref-type="fig" rid="fig4">Figure 4</xref>) though Masindi port, Waitumba and Kayei landing sites had phosphate values contrary to the average S. molesta coverage at those sites (<xref ref-type="fig" rid="fig3">Figure 3</xref>).</p><p>There was accumulation of phosphates (PO<sub>4</sub>-P) at Kayei landing site (<xref ref-type="fig" rid="fig4">Figure 4</xref>) resulting from less uptake by S. molesta at low coverage. On the other hand, the high coverage of the weed at Waitumba and Masindi port landing sites might have led to the depletion of phosphates (PO<sub>4</sub>-P) in the water at those sites due to increased uptake by the weed. According to Divakaran et al. [<xref ref-type="bibr" rid="scirp.80489-ref49">49</xref>] , the rapid proliferation of S. molesta causes depletion of nutrients. However, S. molesta carriage through attachment on boats increased the weed coverage at Acholi inn landing site (<xref ref-type="fig" rid="fig3">Figure 3</xref>) which also recorded high phosphates (<xref ref-type="fig" rid="fig4">Figure 4</xref>) at the same time. The enriched phosphates in Acholi inn could have resulted from the decay of organic matter in the habitat of the weed [<xref ref-type="bibr" rid="scirp.80489-ref14">14</xref>] . According to Lavelle and Spain [<xref ref-type="bibr" rid="scirp.80489-ref50">50</xref>] , organic matter decomposition is a good source of phosphorus.</p><p>The high coverage of S. molesta at waste sites and gardens (<xref ref-type="fig" rid="fig3">Figure 3</xref>) is associated with increased nutrient (PO<sub>4</sub>-P) availability (<xref ref-type="fig" rid="fig4">Figure 4</xref>) as the pH (6.73 - 7.15)</p><p>and temperature (25.06˚C - 25.76˚C) ranges at all the study sites were relatively constant and suitable for growth of the weed. According to Cary and Weerts [<xref ref-type="bibr" rid="scirp.80489-ref44">44</xref>] , S. molesta grows optimally in nutrient-rich (e.g. P) conditions at pH 6 - 7.5 and water temperatures ranging from 20˚C to 30˚C. However, nutrient availability is more influential to the growth of the weed than pH [<xref ref-type="bibr" rid="scirp.80489-ref14">14</xref>] . The high coverage of S. molesta weed close to the waste sites and gardens is expected as growth of aquatic weeds (e.g. S. molesta) increases with increase in agricultural productivity [<xref ref-type="bibr" rid="scirp.80489-ref51">51</xref>] . This is due to the fact that agricultural and wastewater runoffs into freshwater ecosystems enrich the nutrient levels in the water bodies [<xref ref-type="bibr" rid="scirp.80489-ref14">14</xref>] . For the case of Lake Kyoga, about 85% of the population in the lake basin is currently engaged in agriculture [<xref ref-type="bibr" rid="scirp.80489-ref3">3</xref>] hence increased cultivation and livestock rearing around the lake. On the other hand, more wastes have also been discharged into the lake from increased human activities and livestock in the lake basin thus elevating phosphate levels in the lake [<xref ref-type="bibr" rid="scirp.80489-ref34">34</xref>] [<xref ref-type="bibr" rid="scirp.80489-ref52">52</xref>] .</p><p>The high coverage of S. molesta at boat docks despite the relatively lower nutrient (PO<sub>4</sub>-P) levels is attributable to the weed getting stuck on boats and then washed off in the boat docks. Global Invasive Species Database [<xref ref-type="bibr" rid="scirp.80489-ref53">53</xref>] showed that S. molesta can be spread within and between water-bodies by contaminated boats. The weed often gets caught in boats and the plant fragments are carried to new areas [<xref ref-type="bibr" rid="scirp.80489-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.80489-ref21">21</xref>] . According to Parsons and Cuthbertson [<xref ref-type="bibr" rid="scirp.80489-ref54">54</xref>] and Gewertz [<xref ref-type="bibr" rid="scirp.80489-ref55">55</xref>] , S. molesta spread between aquatic systems as a hitchhiker on boats, or in shipments of fish is common. For example, the spread of S. molesta into inland waterways of Zimbabwe was associated with the boat movements to and from Lake Kariba [<xref ref-type="bibr" rid="scirp.80489-ref56">56</xref>] . As Lake Kyoga is very much used for fishing [<xref ref-type="bibr" rid="scirp.80489-ref4">4</xref>] and inland water transport [<xref ref-type="bibr" rid="scirp.80489-ref57">57</xref>] , the number of boats on the lake is high hence increased coverage of S. molesta at the boat docks.</p><p>The coverage of the S. molesta at the different landing sites and anthropogenic activities decreased the concentrations of dissolved oxygen at those sites in line with previous studies which indicated that solid mats of S. molesta reduce the dissolved oxygen concentrations in the water column [<xref ref-type="bibr" rid="scirp.80489-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.80489-ref58">58</xref>] . For instance, dissolved oxygen concentration underneath S. molesta mats in Lake Naivasha only attained 10% saturation as opposed to 64% - 85% in the open water [<xref ref-type="bibr" rid="scirp.80489-ref59">59</xref>] . The relatively high dissolved oxygen (DO) concentrations recorded at the boat docks (<xref ref-type="fig" rid="fig4">Figure 4</xref>) despite the high weed coverage (<xref ref-type="fig" rid="fig3">Figure 3</xref>) is probably due to the constant breaking of the thick S. molesta mats and mixing of the water at the boat docks as a result of boat movements. According to Wanda et al. [<xref ref-type="bibr" rid="scirp.80489-ref7">7</xref>] , the brittle stolons of S. molesta are easily broken by the movement of boats. Ongom et al. [<xref ref-type="bibr" rid="scirp.80489-ref38">38</xref>] also reported that mixing of Lake Kyoga water increases the oxygen circulation in the lake. S. molesta weed coverage was the least in the fishing areas (<xref ref-type="fig" rid="fig3">Figure 3</xref>) associated with low nutrient (PO<sub>4</sub>-P) concentrations (<xref ref-type="fig" rid="fig4">Figure 4</xref>) and the low weed coverage also resulted into increased dissolved oxygen concentrations at the fishing areas.</p></sec><sec id="s4"><title>4. Conclusion</title><p>Salvinia molesta distribution in Lake Kyoga is linked to nutrient (PO<sub>4</sub>-P) supply, proximity to the shoreline and the associated anthropogenic activities. Hence waste sites, gardens and boat docks enhance S. molesta invasion in Lake Kyoga. Therefore, sources of nutrients (phosphates) into Lake Kyoga that favour the proliferation of S. molesta should be minimized through adequate waste treatment and prohibition of cultivation close to the lake. Salvinia molesta coverage along the routes of moving boats should also be contained so as to reduce the spread of the weed in the lake through boat movements. Furthermore, eradication efforts of S. molesta weed in Lake Kyoga should be heightened at the shoreline areas of the lake in the various landing sites within the lake basin.</p></sec><sec id="s5"><title>Acknowledgements</title><p>The authors greatly acknowledge the technical support of National Water and Sewerage Corporation, Masindi most especially during field sampling. The authors are also grateful to the Department of Biology, Mbarara University of Science and Technology for their guidance and support throughout the research period and preparation of this paper.</p></sec><sec id="s6"><title>Cite this paper</title><p>Andama, M., Ongom, R. and Lukubye, B. (2017) Proliferation of Salvinia molesta at Lake Kyoga Landing Sites as a Result of Anthropogenic Influences. 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