<?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">JEP</journal-id><journal-title-group><journal-title>Journal of Environmental Protection</journal-title></journal-title-group><issn pub-type="epub">2152-2197</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jep.2020.1111060</article-id><article-id pub-id-type="publisher-id">JEP-104150</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>
 
 
  Diet and Food Consumption of the African Catfish, &lt;i&gt;Chrysichthys nigrodigitatus&lt;/i&gt; Lac&#233;p&#232;de (1803) (Siluriformes: Claroteidae), from the Hydrosystem Lake Togo-Lagoon of An&#233;ho (South of Togo)
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kamilou</surname><given-names>Ouro-Sama</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>Komlan</surname><given-names>Mawuli Afiademanyo</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hodabalo</surname><given-names>Dheoulaba Solitoke</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>Gnon</surname><given-names>Tanouayi</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>Tchaa</surname><given-names>Esso-Essinam Badassan</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>Housséni</surname><given-names>Ahoudi</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>Kissao</surname><given-names>Gnandi</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Laboratoire d’Ecologie Animale et d’Ecotoxicologie, Département de Zoologie et Biologie Animale, Faculté des Sciences, Université de Lomé, Lomé, Togo</addr-line></aff><aff id="aff1"><addr-line>Laboratoire de Gestion, Traitement et Valorisation des Déchets (GTVD), Faculté des Sciences, Université de Lomé, Lomé, Togo</addr-line></aff><pub-date pub-type="epub"><day>05</day><month>11</month><year>2020</year></pub-date><volume>11</volume><issue>11</issue><fpage>954</fpage><lpage>976</lpage><history><date date-type="received"><day>10,</day>	<month>October</month>	<year>2020</year></date><date date-type="rev-recd"><day>14,</day>	<month>November</month>	<year>2020</year>	</date><date date-type="accepted"><day>17,</day>	<month>November</month>	<year>2020</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>
 
 
  Catfishes belonging to the genus 
  <em>Chrysichthys</em> are generally important fish species in inland water bodies of Africa because of their high commercial value. Among them, 
  <em>C.</em> 
  <em>nigrodigitatus</em> could represent, at certain periods of the year the highest biomass of the littoral ichthyofauna, accounting for 17 to 43.8% of total catches. In this paper, its diet in the hydrosystem Lake Togo-Lagoon of An&#233;ho was investigated focusing on how differences in diet and food consumption are related to size, season and sexual maturity. A total of 195 males and 137 females were sampled from January to December 2017. The digestive tract of each individual was dissected and its content was analyzed, using indexes of stomach contents analysis method. Diet variability in relation to season and biometric 
  <em></em>parameters was also studied. About 99 stomachs were empty with an overall vacuity index of 29.82%. However, vacuity index was found to vary in relation to fish size and months. The fish has been found to be omnivorous with a carnivorous tendency consuming a wide range of prey items (H = 3.34). Juvenile and adult freshwater clams (
  <em>Galatea paradoxa</em>) were the numerical dominant preys (%N = 44%) while the penaeid shrimps (
  <em>Farfantepenaeus notialis</em>) with an annual frequency of occurrence (Fo) of 49.36% and all species confused of fish (33.91%) were the most preferred preys. The index of relative importance (IRI) reveals that freshwater clam (40.49%), penaeid shrimps (35.85%) and all species confused of fish (14.58%) were the most important preys of 
  <em>C. nigrodigitatus</em>. The dominance of Malacostraca and Mollusca in the diet of 
  <em>C. nigrodigitatus</em> in the hydrosystem Lake Togo-Lagoon of An&#233;ho is likely one of the more important considerations for future management plans.
 
</p></abstract><kwd-group><kwd>&lt;i&gt;Chrysichthys nigrodigitatus&lt;/i&gt;</kwd><kwd> Food Item</kwd><kwd> Feeding Ecology</kwd><kwd> Lake Togo</kwd><kwd> Lagoon of An&#233;ho</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Fish and seafood are highly valued and play an important role in human diet because of their content of high quality protein and essential amino acids, polyunsaturated fatty acids and micronutrients [<xref ref-type="bibr" rid="scirp.104150-ref1">1</xref>]. In 2017, according to FAO estimates, fish provided at least 50% of the total animal protein intake of humans in several West African countries including Togo [<xref ref-type="bibr" rid="scirp.104150-ref2">2</xref>]. In these countries, artisanal catches could represent the bulk (60%) of the domestic fisheries catches [<xref ref-type="bibr" rid="scirp.104150-ref3">3</xref>]. Unfortunately, catches are not expected to maintain their current growth rate in the next decade. The region is expected to become more dependent on imports to satisfy demand, reaching 41% of consumption in 2026 [<xref ref-type="bibr" rid="scirp.104150-ref4">4</xref>]. In Togo, in the last decade, the production of most species by artisanal fisheries was stable, or fluctuating around the average without a real tendency to increase [<xref ref-type="bibr" rid="scirp.104150-ref5">5</xref>]. More worrying, total catches of many valued food fishes (silver catfish, blackchin tilapia…) have decreased because of overfishing, drought and watershed degradation [<xref ref-type="bibr" rid="scirp.104150-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref6">6</xref>]. It was therefore, strongly recommended that the necessary efforts be made to achieve a rational management of the stock and to find ways of improving the level of productivity of coastal lagoons and estuaries [<xref ref-type="bibr" rid="scirp.104150-ref5">5</xref>].</p><p>The study of the food and feeding habits of fish is a subject of continuous research, because it plays an integral part in the development of a successful fisheries management program on fish capture and culture [<xref ref-type="bibr" rid="scirp.104150-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref8">8</xref>]. Indeed, feeding behavior based on the analysis of stomach contents is widely used in fish ecology as an important tool for understanding the role of fishes in aquatic ecosystems since they indicate relationships based on feeding resources and indirectly indicate community energy flux [<xref ref-type="bibr" rid="scirp.104150-ref9">9</xref>]. From a practical standpoint, information on quantity and quality of food consumed and the feeding behavior pattern is needed to understand the predicted changes that might result from any natural or anthropogenic intervention. In addition, knowledge of the feeding ecology of commercial as well as non-commercial fish species is essential for implementing a multispecies approach to lagoon and estuary fisheries management [<xref ref-type="bibr" rid="scirp.104150-ref10">10</xref>].</p><p>The bagrid catfish species, notably Chrysichthys nigrodigitatus Lac&#233;p&#232;de, 1803 and C. auratus Geoffroy Saint-Hilaire, 1809 are important members of fresh and brackish water fish highly sought after for their flavor and chemical composition [<xref ref-type="bibr" rid="scirp.104150-ref11">11</xref>]. They have been reported from practically all the river and lagoon systems of Africa within latitudes 25˚N and 25˚S and from Tanzania in the east to Senegal in the west [<xref ref-type="bibr" rid="scirp.104150-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref13">13</xref>]. Bagrid catfish species have great commercial and economic value in West African countries [<xref ref-type="bibr" rid="scirp.104150-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref15">15</xref>] and ensure food security and the livelihoods of local populations. Studies on the fauna in inshore habitats revealed that Chrysichthys spp could represent, at certain periods of the year, the highest biomass of the littoral ichthyofauna, accounting for 17% to 43.8% of total catches [<xref ref-type="bibr" rid="scirp.104150-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref17">17</xref>]. The most recent works on feeding ecology come mostly from the lagoons and rivers of Ghana [<xref ref-type="bibr" rid="scirp.104150-ref18">18</xref>] and Nigeria [<xref ref-type="bibr" rid="scirp.104150-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref21">21</xref>]. In Togo, studies on the bioecology of fish, which have mostly been limited to the description of fisheries, are very rare and old [<xref ref-type="bibr" rid="scirp.104150-ref14">14</xref>]. Accordingly, very little information is available on diet of brackish and freshwater fishes in the country. The present study aims to characterize the diet of C. nigrodigitatus from the hydrosystem Lake Togo-Lagoon of An&#233;ho through a qualitative and quantitative description of the stomach contents and its temporal and ontogenetic variation.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Study Area</title><p>The Lake Togo-Lagoon of An&#233;ho complex is part of a lagoon system set in south-eastern Togo located between latitudes 6˚14'38'' and 6˚17'37'' North and longitudes 1˚23'33'' and 1˚37'38'' East. It stretches from the villages of D&#233;kpo and S&#233;vatonou in the north-west to of An&#233;ho in the south-east. It covers 64 km<sup>2</sup> and includes the Lake Togo (46 km<sup>2</sup>), the Lagoon of Togoville which is a channel of 13 km length parallel to the coast with a width varying between 150 and 900 m, the Lake Zowla (6.55 km<sup>2</sup>) and the Lagoon of An&#233;ho in the South-East. It communicates with the ocean at An&#233;ho. In addition, the Lagoon of An&#233;ho communicates with the Mono river in the East via the Gbaga channel. The Zio and Hahorivers are the main tributaries of the hydrosystem [<xref ref-type="bibr" rid="scirp.104150-ref22">22</xref>]. The Lake Togo watershed enjoys a subequatorial or Guinean climate with two rainy seasons composed of a large one (mid-March to mid-July) and a small one (mid-September to mid-November) alternated by two dry seasons composed of a large one (mid-November to mid-March) and a small one (mid-September to mid-November). The most popular economic activities around the lagoon system are fishing, agriculture and livestock. Phosphorite mining takes place in this watershed with discharge of all kinds of mining waste. <xref ref-type="fig" rid="fig1">Figure 1</xref> shows the location of the study area and sampling points.</p></sec><sec id="s2_2"><title>2.2. Sample Collection and Determination of Stomach Contents</title><p>A total of 332 fishes were collected monthly at two landing stations over an annual cycle, from January to December 2017, in collaboration with professional fishermen of the lagoon complex [<xref ref-type="bibr" rid="scirp.104150-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref24">24</xref>]. The gear types often used by fishermen include drag net, hook and line, bottom-set gillnet and bottom-set traps. They were set the day before between 07:00 and 08:00 am; then raised and the fish collected the next day between 05:00 and 06:00 am. Samples were immediately</p><p>packaged in a cooler containing ice and transported to the Laboratory of Animal Ecology and Ecotoxicology of the University of Lom&#233;. After identification according to L&#233;v&#234;que et al. [<xref ref-type="bibr" rid="scirp.104150-ref25">25</xref>] and Stiassny et al. [<xref ref-type="bibr" rid="scirp.104150-ref26">26</xref>], each specimen was measured to the nearest millimeter (total length), then weighed (total weight) using a KERN type balance with an accuracy of 0.01 g. The fishes were then dissected using stainless dissection materials. The entire gastrointestinal tract was removed and stored in 5% formalin to stop decomposition and consolidate the preys until their contents analysis [<xref ref-type="bibr" rid="scirp.104150-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref27">27</xref>].</p><p>The digestive tracts were opened longitudinally and their contents were emptied into petri dishes. The decomposed preys were counted based on the number of heads, eyes, legs etc. Recognizable preys were identified to the lowest possible taxon under a stereomicroscope OPTIKA LAB-20 with a magnification range of 7 to 45 times. For identification of food items, the standard literature on the systematics of aquatic invertebrates such as Grass&#233; et al. [<xref ref-type="bibr" rid="scirp.104150-ref28">28</xref>], Durand and L&#233;v&#234;que [<xref ref-type="bibr" rid="scirp.104150-ref29">29</xref>] and Bouchard [<xref ref-type="bibr" rid="scirp.104150-ref30">30</xref>] was referred to.</p></sec><sec id="s2_3"><title>2.3. Sex Ratio</title><p>Fish sexes were determined by macroscopic observation of the gonads after dissection. The sex ratio (SR) was calculated using the Equation (1) [<xref ref-type="bibr" rid="scirp.104150-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref31">31</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref32">32</xref>]:</p><p>SR = Male Female (1)</p></sec><sec id="s2_4"><title>2.4. Data Analysis of C. nigrodigitatus Stomach Contents</title><p>Numerous food indexes have been described and used to analyze and quantify the importance of different prey items in the diets of aquatic species [<xref ref-type="bibr" rid="scirp.104150-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref33">33</xref>]. Some of them were used in the present study:</p><p>1) The vacuity index (VI) was calculated using the Equation (2):</p><p>VI = ( N e s / N t s ) &#215; 100 (2)</p><p>where N<sub>es</sub> is the number of empty stomachs and N<sub>ts</sub> is the total number of stomachs examined.</p><p>2) Frequency of occurrence (%Fo). It was expressed according to the Equation (3):</p><p>%Fo = ( N s / N t ) &#215; 100 (3)</p><p>where, N<sub>s</sub> is the number of stomach containing a given prey and N<sub>t</sub> is the number of non-empty stomach. This index was interpreted according to the scale of Pillay [<xref ref-type="bibr" rid="scirp.104150-ref34">34</xref>] as modified by Gning [<xref ref-type="bibr" rid="scirp.104150-ref35">35</xref>] as follows: Fo &gt; 30%, the prey consumed is considered preferential prey, 10% &lt; Fo &lt; 30%: the prey is qualified to be secondary and Fo &lt; 10%: the prey can be considered to be accidental.</p><p>3) The numerical abundance index (%N). It was calculated using the Equation (4)</p><p>%N = ( N i / N t ) &#215; 100 (4)</p><p>where N<sub>i</sub> is the number of a given prey in the stomach and N<sub>t</sub> is the total number of preys ingested.</p><p>4) The gravimetric abundance index (%W). The following equation allowed its calculation</p><p>% W = ( W i / W t ) &#215; 100 (5)</p><p>with W<sub>i</sub> is the weight of a given prey in the stomach and W<sub>t</sub> is the total weight of preys ingested.</p><p>5) The index of relative importance (IRI) was used to assess the relative importance of a prey category in the diet by minimizing bias caused by each food index [<xref ref-type="bibr" rid="scirp.104150-ref36">36</xref>]. It was calculated as follow:</p><p>IRI = ( %N + %W ) &#215; %Fo (6)</p><p>where, %N is the numerical abundance index, %W is the gravimetric abundance index and %Fo is the frequency of occurrence [<xref ref-type="bibr" rid="scirp.104150-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref37">37</xref>].</p></sec><sec id="s2_5"><title>2.5. Statistical Analysis</title><p>The Chi-square test (χ<sup>2</sup>) was used to compare the observed sex-ratios to the theoretical sex-ratio of 1:1 [<xref ref-type="bibr" rid="scirp.104150-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref38">38</xref>]. The importance of the food spectrum was determined using the Shannon-Wiener diversity index (H). A value of H = 0.5 indicates a very low diversity:</p><p>H = − ∑ i = 1 n P i log 2 P i (7)</p><p>where, P<sub>i</sub> is the numerical abundance of the prey “I” [<xref ref-type="bibr" rid="scirp.104150-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref39">39</xref>]. The specific richness of ingested prey was determined using the Margalef index (d). This value ranges between 1 et 4.5:</p><p>d = S − 1 log N (8)</p><p>where S is the number of species and N is the number of individual preys [<xref ref-type="bibr" rid="scirp.104150-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref40">40</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref41">41</xref>]. The degrees of similarity of diets or dietary overlap between sexes, size classes and states of sexual maturity were determined using the Schoener index (SI):</p><p>SI = 1 − 0.5 ( ∑ i = 1 n | P x i − P y i | ) (9)</p><p>where, P<sub>xi</sub> = the numerical abundance of the prey “i” in the diet of fish group x and y [<xref ref-type="bibr" rid="scirp.104150-ref42">42</xref>]. This index varies from 0 to 1. The diets are considered to be significantly similar when SI value is superior or equal to 0.6 (SI ≥ 0.6) [<xref ref-type="bibr" rid="scirp.104150-ref43">43</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref44">44</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref45">45</xref>].</p><p>The ontogenetic variation in diet was highlighted by the Cluster Analysis (CA) of size classes on the basis of numerical abundance of the prey items. The temporal variation of the diet was assessed by principal component analysis (PCA) on the basis of the numerical abundance of the prey items [<xref ref-type="bibr" rid="scirp.104150-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref35">35</xref>]. The CA and PCA were performed using STATISTICA 6.1 software.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Biometric Parameters of C. nigrodigitatus</title><sec id="s3_1_1"><title>3.1.1. Sexratio and Proportions of Sexes</title><p>The overall result of the monthly sex ratio shows that of the 332 fishes examined 195 (58.73%) were males and 137 (41.27%) were females giving a sex ratio (M/F) of 1.42 or 1:0.70. A chi-square analysis of the result shows that this sex ratio is significantly different from the theoretical one (1:1). Thus, the number of males was significantly higher than females in the population of C. nigrodigitatus examined (χ<sup>2</sup> = 10.13; p = 0.0014).</p></sec><sec id="s3_1_2"><title>3.1.2. Variation of Morphometric Parameters</title><p>The largest C. nigrodigitatus caught during the study was a ripe male. It measured 53.50 cm and weighed 1.660 kg. The total lengths, all sexes combined varied between 7.95 and 53.50 cm (average size 25.10 &#177; 7.66 cm) while the total weights ranged from 13.29 to 1660.50 g (average size 171.73 &#177; 178.41 g). A perusal of the result indicates similar morphometric parameters in both sexes with total length and weight averages respectively 24.25 &#177; 8.01 cm and 167.69 &#177; 207.17 g for males and 26.32 &#177; 7 cm and 177.48 &#177; 127.23 g for females (<xref ref-type="table" rid="table1">Table 1</xref>).</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Morphometric parameters of C. nigrodigitatus from Lake Togo-Lagoon of An&#233;ho</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Morphometric parameters</th><th align="center" valign="middle" >Statistics</th><th align="center" valign="middle" >Males (N = 195)</th><th align="center" valign="middle" >Females (N = 137)</th><th align="center" valign="middle" >Combined sexes (N = 332)</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >Total length (cm)</td><td align="center" valign="middle" >Min-Max</td><td align="center" valign="middle" >7.95 - 53.50</td><td align="center" valign="middle" >8.20 - 46.50</td><td align="center" valign="middle" >7.95 - 53.50</td></tr><tr><td align="center" valign="middle" >Avg &#177; SD</td><td align="center" valign="middle" >24.25 &#177; 8.01</td><td align="center" valign="middle" >26.32 &#177; 7.00</td><td align="center" valign="middle" >25.10 &#177; 7.66</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Total weight (g)</td><td align="center" valign="middle" >Min-Max</td><td align="center" valign="middle" >13.29 - 1660.50</td><td align="center" valign="middle" >14.68 - 1015.10</td><td align="center" valign="middle" >13.29 - 1660.50</td></tr><tr><td align="center" valign="middle" >Avg &#177; SD</td><td align="center" valign="middle" >167.69 &#177; 207.17</td><td align="center" valign="middle" >177.48 &#177; 127.23</td><td align="center" valign="middle" >171.73 &#177; 178.41</td></tr></tbody></table></table-wrap><p>However, large and small individuals are poorly represented in the samples. The population exhibited a unimodal distribution skewed towards middle sizes, with fishes measuring 15 to 35 cm and weighing between 10 to 130 g dominating the catch the two sexes (<xref ref-type="fig" rid="fig2">Figure 2</xref>). These fish are composed of juveniles, pre-adults (young individuals) and adults.</p></sec></sec><sec id="s3_2"><title>3.2. Diet Composition</title><sec id="s3_2_1"><title>3.2.1. Vacuity Index</title><p>Of the 332 stomachs examined, 99 were empty corresponding to an overall vacuity index (VI) of 29.82%. The vacuity index varied according to sex with 34.36% for males and 23.36% for females.</p><p>The lowest vacuity indexes were observed in January (20.59%), February (16.33%), March (22.22%) and August (21.74%) (<xref ref-type="fig" rid="fig3">Figure 3</xref>). These periods correspond to the dry season in accordance with the climatic calendar of the coastal zone of Togo.</p><p>In general, for both sexes, the vacuity index values increase with the size of the fish (<xref ref-type="fig" rid="fig4">Figure 4</xref>). The lowest values were recorded in young individuals belonging to 7 - 14 cm size class (24%) while the highest was observed in adults measuring between 49 and 56 cm (75%).</p></sec><sec id="s3_2_2"><title>3.2.2. Overall Composition of the Food Items</title><p>Analysis of the contents of 233 full stomachs yielded a food spectrum comprised of 23 types of preys that can be divided into 7 major groups: fish, molluscs,</p><p>crustaceans, insects, annelids, vegetables and sediments. Qualitatively, <xref ref-type="table" rid="table2">Table 2</xref> indicates that C. nigrodigitatus of the lagoon complex has a wide range of prey. Indeed, the frequency of occurrence (%Fo) indicated that, shrimps (Farfantepenaeus notialis) with a frequency of occurrence of 49.36% and unidentified fish (33.91%) were the most preferred food items consumed by the silver catfish. While the secondary prey consists of clams (Galactea paradoxa) (29.61%), mud (22.32%), fish (Ethmalosa fimbriata) (20.6 %), the decapod crustacean (Callinectes amnicola) (12.88%), the gastropod mollusc (Pachymelania fusca) (12.45%) and vegetable debris (16.74%). The other preys were accidental in the diet with frequencies of occurrence less than 10%.</p><p>Based on the numerical abundance (%N), the food spectrum was numerically dominated by juvenile and adult clams (44%) and shrimps (13.62%). They are followed by the unidentified fish (6.94%), E. fimbriata (6.24%), vegetable debris (5.28%) and gastropod mollusk P. fusca (4.06%). In term of gravimetric abundance (% W), the clam G. Paradoxa (40.17%), the shrimp F. notialis (26%) and the fish E. fimbriata (10.27%) were the most abundant prey. The decapod crustacean</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Prey found in C. nigrodigitatus stomachs from Lake Togo-Lagoon of An&#233;ho</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Preys</th><th align="center" valign="middle"  rowspan="2"  >Codes</th><th align="center" valign="middle"  colspan="4"  >Qualitative and quantitative indexes</th></tr></thead><tr><td align="center" valign="middle" >%N</td><td align="center" valign="middle" >%W</td><td align="center" valign="middle" >%Fo</td><td align="center" valign="middle" >%IRI</td></tr><tr><td align="center" valign="middle" >Fish</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >15.88</td><td align="center" valign="middle" >19.34</td><td align="center" valign="middle" >33.91</td><td align="center" valign="middle" >14.58</td></tr><tr><td align="center" valign="middle" >Ethmalosa fimbriata</td><td align="center" valign="middle" >Et.f</td><td align="center" valign="middle" >6.24</td><td align="center" valign="middle" >10.27</td><td align="center" valign="middle" >20.60</td><td align="center" valign="middle" >6.24</td></tr><tr><td align="center" valign="middle" >Eucinostomus melanopterus</td><td align="center" valign="middle" >Eu.m</td><td align="center" valign="middle" >0.44</td><td align="center" valign="middle" >0.71</td><td align="center" valign="middle" >2.15</td><td align="center" valign="middle" >0.05</td></tr><tr><td align="center" valign="middle" >Caranx hippos</td><td align="center" valign="middle" >Ca.h</td><td align="center" valign="middle" >0.52</td><td align="center" valign="middle" >1.01</td><td align="center" valign="middle" >3.00</td><td align="center" valign="middle" >0.08</td></tr><tr><td align="center" valign="middle" >Tilapia zillii</td><td align="center" valign="middle" >Til.z</td><td align="center" valign="middle" >0.52</td><td align="center" valign="middle" >1.19</td><td align="center" valign="middle" >3.00</td><td align="center" valign="middle" >0.09</td></tr><tr><td align="center" valign="middle" >Fish fry</td><td align="center" valign="middle" >FiFry</td><td align="center" valign="middle" >1.22</td><td align="center" valign="middle" >0.21</td><td align="center" valign="middle" >4.29</td><td align="center" valign="middle" >0.11</td></tr><tr><td align="center" valign="middle" >Unidentified fish</td><td align="center" valign="middle" >UidFi</td><td align="center" valign="middle" >6.94</td><td align="center" valign="middle" >5.95</td><td align="center" valign="middle" >33.91</td><td align="center" valign="middle" >8.01</td></tr><tr><td align="center" valign="middle" >Molluscs</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >51.77</td><td align="center" valign="middle" >47.44</td><td align="center" valign="middle" >29.61</td><td align="center" valign="middle" >44.30</td></tr><tr><td align="center" valign="middle" >Pachymelania fusca</td><td align="center" valign="middle" >Pa.f</td><td align="center" valign="middle" >4.06</td><td align="center" valign="middle" >3.99</td><td align="center" valign="middle" >12.45</td><td align="center" valign="middle" >1.84</td></tr><tr><td align="center" valign="middle" >Juvenile gastropods</td><td align="center" valign="middle" >JvGas</td><td align="center" valign="middle" >0.26</td><td align="center" valign="middle" >0.03</td><td align="center" valign="middle" >0.43</td><td align="center" valign="middle" >0.00</td></tr><tr><td align="center" valign="middle" >Galatea paradoxa</td><td align="center" valign="middle" >Ga.p</td><td align="center" valign="middle" >34.40</td><td align="center" valign="middle" >40.17</td><td align="center" valign="middle" >29.61</td><td align="center" valign="middle" >40.49</td></tr><tr><td align="center" valign="middle" >Juvenile G. paradoxa</td><td align="center" valign="middle" >JvGa.p</td><td align="center" valign="middle" >9.60</td><td align="center" valign="middle" >1.14</td><td align="center" valign="middle" >5.58</td><td align="center" valign="middle" >1.10</td></tr><tr><td align="center" valign="middle" >Mytilus perna</td><td align="center" valign="middle" >My.p</td><td align="center" valign="middle" >3.45</td><td align="center" valign="middle" >2.11</td><td align="center" valign="middle" >8.58</td><td align="center" valign="middle" >0.87</td></tr><tr><td align="center" valign="middle" >Crustaceans</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >19.86</td><td align="center" valign="middle" >32.75</td><td align="center" valign="middle" >49.36</td><td align="center" valign="middle" >38.38</td></tr><tr><td align="center" valign="middle" >Ostracods</td><td align="center" valign="middle" >Ostr</td><td align="center" valign="middle" >2.01</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >6.87</td><td align="center" valign="middle" >0.25</td></tr><tr><td align="center" valign="middle" >Amphipods</td><td align="center" valign="middle" >Amp</td><td align="center" valign="middle" >1.22</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >4.72</td><td align="center" valign="middle" >0.11</td></tr><tr><td align="center" valign="middle" >Farfantepenaeus notialis.</td><td align="center" valign="middle" >Fa.no</td><td align="center" valign="middle" >13.62</td><td align="center" valign="middle" >26.00</td><td align="center" valign="middle" >49.36</td><td align="center" valign="middle" >35.85</td></tr><tr><td align="center" valign="middle" >Calinectes amnicola</td><td align="center" valign="middle" >Ca.am</td><td align="center" valign="middle" >2.53</td><td align="center" valign="middle" >6.57</td><td align="center" valign="middle" >12.88</td><td align="center" valign="middle" >2.15</td></tr><tr><td align="center" valign="middle" >Pagurus sp.</td><td align="center" valign="middle" >Pag.sp.</td><td align="center" valign="middle" >0.48</td><td align="center" valign="middle" >0.17</td><td align="center" valign="middle" >1.29</td><td align="center" valign="middle" >0.02</td></tr><tr><td align="center" valign="middle" >Insects</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >3.28</td><td align="center" valign="middle" >0.03</td><td align="center" valign="middle" >8.58</td><td align="center" valign="middle" >0.46</td></tr><tr><td align="center" valign="middle" >Chironomid larvae</td><td align="center" valign="middle" >ChiroLv</td><td align="center" valign="middle" >2.36</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >8.58</td><td align="center" valign="middle" >0.37</td></tr><tr><td align="center" valign="middle" >Chaoboid larvae</td><td align="center" valign="middle" >ChaoLv</td><td align="center" valign="middle" >0.92</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >5.15</td><td align="center" valign="middle" >0.09</td></tr><tr><td align="center" valign="middle" >Annelids</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >3.67</td><td align="center" valign="middle" >0.08</td><td align="center" valign="middle" >8.58</td><td align="center" valign="middle" >0.53</td></tr><tr><td align="center" valign="middle" >Polychaetes</td><td align="center" valign="middle" >PolyAn</td><td align="center" valign="middle" >2.71</td><td align="center" valign="middle" >0.06</td><td align="center" valign="middle" >8.58</td><td align="center" valign="middle" >0.44</td></tr><tr><td align="center" valign="middle" >Oligochaetes</td><td align="center" valign="middle" >OligAn</td><td align="center" valign="middle" >0.96</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >4.72</td><td align="center" valign="middle" >0.09</td></tr><tr><td align="center" valign="middle" >Vegetables</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >5.54</td><td align="center" valign="middle" >0.21</td><td align="center" valign="middle" >16.74</td><td align="center" valign="middle" >1.68</td></tr><tr><td align="center" valign="middle" >Vegetable Debris</td><td align="center" valign="middle" >VegDe</td><td align="center" valign="middle" >5.28</td><td align="center" valign="middle" >0.21</td><td align="center" valign="middle" >16.74</td><td align="center" valign="middle" >1.68</td></tr><tr><td align="center" valign="middle" >Filamentous Algae</td><td align="center" valign="middle" >FilAlg</td><td align="center" valign="middle" >0.26</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >0.86</td><td align="center" valign="middle" >0.00</td></tr><tr><td align="center" valign="middle" >Sediments</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.15</td><td align="center" valign="middle" >22.32</td><td align="center" valign="middle" >0.06</td></tr><tr><td align="center" valign="middle" >Mud/Sand</td><td align="center" valign="middle" >Ma/Sa</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.15</td><td align="center" valign="middle" >22.32</td><td align="center" valign="middle" >0.06</td></tr></tbody></table></table-wrap><p>Note: %N: = numerical abundance, %W = gravimetric abundance, %Fo = frequency of occurrence, %IRI: index of relative importance.</p><p>C. amnicola, the unidentified fish, the gastropod mollusk P. fuscatus and the bivalve mollusk M. perna followed by respective gravimetric abundances (%W) of 6.57%, 5.95%, 3.99% and 2.11%.</p><p>The relative importance (IRI) of the different food items in the stomachs of the silver catfish based on numerical abundance (%N), gravimetric abundance (%W) and frequency of occurrence (%Fo) indexes is given in <xref ref-type="table" rid="table2">Table 2</xref>. The results indicated that clams G. paradoxa (40.49%) and shrimps F. notialis (35.85%) which together make up 76.34% of the IRI are the most important and preferred preys of C. nigrodigitatus. Unidentified fish (8.08%), E. fimbriata (6.24%), the decapod crustacean C. amnicola (2.15%), the gastropod mollusk P. fusca (1.83%), vegetable debris (1.68%) and juvenile clams (1.10%) represented the secondary prey of the species in the lagoon complex with a total of 21.02% of the IRI. The others prey with a total IRI of 2.64% are in the accidental prey category. The Shannon-Wiener diversity index (H) calculated on prey showed that the overall food spectrum of C. nigrodigitatus is very diverse (H = 3.34). In addition, the Margalef index (d) indicated that this spectrum has a high specific richness (d = 5.36).</p></sec></sec><sec id="s3_3"><title>3.3. Variation of Diet According to Sex</title><p>The collected fish are sorted by sex, based on the numerical abundance (%N) of their prey. <xref ref-type="fig" rid="fig5">Figure 5</xref> indicates that the most abundant preys are clams (G. paradoxa) and penaeid shrimps (F. notialis) with respectively %N = 33.58% and 16.10% in females and %N = 34.75% and 11.99% in males. Data shows that males consumed many more clams (% N = 12.57%) than females (% N = 5.07%). Furthermore, juvenile gastropods are very poorly represented in males and absent in females. However, the Schoener dietary overlap index (C) calculated for male and female preys yielded a significant result (C = 0.85 &gt; 0.6) indicating similarity between the diets of both sexes.</p></sec><sec id="s3_4"><title>3.4. Ontogenetic Variation of Diet</title><sec id="s3_4_1"><title>3.4.1. Variation According to Fish Size</title><p>According to the dendrogram obtained from the cluster analysis (<xref ref-type="fig" rid="fig6">Figure 6</xref>) two main clusters are identified: one composed of four isolated size classes (a, b, c and d) which are respectively 7 - 14 cm, 35.1 - 42 cm, 42.1 - 49 cm and 49.1 - 56 cm and the other (Group A) grouping three size classes (14.1 - 21 cm, 21.1 - 28 cm and 28.1 - 35 cm). This suggests that there is a significant ontogenetic change in the diet of the silver catfish in the hydrosystem Lake Togo-Lagoon of An&#233;ho. The Schoener indexes calculated between the different size classes (<xref ref-type="table" rid="table3">Table 3</xref>) shows that this change in the diet composition of the species according to size classes occurs gradually. Indeed, there is no significant similarity (C &lt; 0.6) between the isolated classes a, b, c and d which represent the smallest sizes (a, b) and the largest sizes (c, d) of C. nigrodigitatus in the lagoon complex. However, the intermediate size classes belonging to group A are significantly similar to each other (C = 0.64 to 0.79). Furthermore, the difference between the largest class of the smallest sizes (14.1 - 21 cm) and the smallest class of intermediate sizes of group A (21.1 - 28 cm) is small (C = 0.59), suggesting that the first two</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Schoener similarity indexes between size classes of C. nigrodigitatus</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >7 - 14.0</th><th align="center" valign="middle" >14.1 - 21</th><th align="center" valign="middle" >21.1 - 28</th><th align="center" valign="middle" >28.1 - 35</th><th align="center" valign="middle" >35.1 - 42</th><th align="center" valign="middle" >42.1 - 49</th><th align="center" valign="middle" >49.1 - 56</th></tr></thead><tr><td align="center" valign="middle" >7 - 14.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >14.1 - 21</td><td align="center" valign="middle" >0.45</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >21.1 - 28</td><td align="center" valign="middle" >0.15</td><td align="center" valign="middle" >0.59</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >28.1 - 35</td><td align="center" valign="middle" >0.11</td><td align="center" valign="middle" >0.52</td><td align="center" valign="middle" >0.79</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >35.1 - 42</td><td align="center" valign="middle" >0.05</td><td align="center" valign="middle" >0.45</td><td align="center" valign="middle" >0.64</td><td align="center" valign="middle" >0.75</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >42.1 - 49</td><td align="center" valign="middle" >0.08</td><td align="center" valign="middle" >0.22</td><td align="center" valign="middle" >0.32</td><td align="center" valign="middle" >0.37</td><td align="center" valign="middle" >0.19</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >49.1 - 56</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >0.07</td><td align="center" valign="middle" >0.22</td><td align="center" valign="middle" >0.21</td><td align="center" valign="middle" >0.12</td><td align="center" valign="middle" >0.42</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>classes of group A are closer to the smaller class sizes.</p><p><xref ref-type="fig" rid="fig7">Figure 7</xref> shows that the diet of fishes of size 7 - 17 cm is largely dominated by juveniles of G. paradoxa (58.97%) followed by fry, chironomid larvae and unidentified fish with 11.28%, 9.23% and 7.69% respectively. This diet was different from that of the next class (14.1 - 21 cm) where the food items are largely dominated by juvenile (23.61%) and adult (17.53%) clam G. paradoxa. They were followed by vegetable debris (9.66%), unidentified fish (8.77%) E. fimbriata (5.90%), M. perna (5.72%) and F. notialis (5.37%). Then, the data shows a gradual decrease of juvenile clams G. paradoxa from 58.97% for sizes 7 - 14 cm to 23.61% for sizes 14.1 - 21 cm. The diet changed from juvenile clam-dominated to adult clam-dominated. The latter appears in the diet along with E. fimbriata, C. hippos, T. zillii, P. fusca., juvenile gastropods, F. notialis, C. amnicola and vegetable debris. In addition, the numerical proportions of fry have significantly decreased from sizes 7 - 14 cm (11.28%) to sizes 14.1 - 21 cm (0.54%).</p><p>The food spectra of the size classes of group A are similar in that they contain almost the same preys. Indeed, G. paradoxa and F. notialis are the most abundant preys of the three size classes with respective proportions of 37.66% and 19.48% for sizes 21.1 - 28 cm, 42.65 % and 18.11% for the sizes 28.1 - 35 cm and 63.20% and 11.52% for the size class 35.1 - 42 cm. However, a gradual disappearance of some preys such as fry, amphipods, ostracods, chaoborid larvae, oligochaete annelids and filamentous algae were noted. Therefore, this group can constitute a transition between individuals of medium sizes and those of large sizes. On the other hand, the diet of individuals of sizes 42.1 - 49 cm is</p><p>dominated by fish in particular E. fimbriata (35.48%), crabs C. amnicola (29.03%) and shrimps F. notialis while those of 49.1 - 56 cm consisted only of crustaceans, with a notorious dominance of shrimp F. notialis (77.78%). In addition, the data shows a decreasing trend in predation intensity as C. nigrodigitatus grew. It can therefore be concluded that up to 14 cm, C. nigrodigitatus, has a diet based mainly on juvenile clams (G. paradoxa). Then, the diet changes with the integration of a wide variety of preys when the catfish measure between 14.1 and 42 cm and before stabilizing around fish (E. fimbriata), shrimps (F. notialis) and crabs (C. amnicola).</p></sec><sec id="s3_4_2"><title>3.4.2. Variation According to Sexual Maturity</title><p>Individuals of C. nigrodigitatus have been grouped into two categories namely immature and mature on the basis of their average size at first sexual maturity which is approximately 21 cm. <xref ref-type="fig" rid="fig8">Figure 8</xref> shows that immature individuals have a diet dominated by juvenile clams (32.76%), diverse fish species (16.86%) and adult clams (13%). While, adult clams (43.38%), shrimps (17.82%) and various species of fish (15.44%) were the most abundant prey in the dietary spectrum of mature individuals. A comparative analysis of the two food spectra indicates that the observed difference is due to the disappearance of juvenile clams and the appearance of shrimps. This difference was confirmed by the Schoener dietary overlap index which revealed a significant difference between the diets of immature and mature individuals (C = 0.47 &lt; 0.6).</p><p>The Shannon-Wiener diversity index (H) showed that immature individuals have a more diverse food spectrum (H = 3.41) than mature individuals (H = 2.86). However, the Margalef index (d) showed a slight increase in the specific richness of prey ingested by mature individuals (d = 5.64) compared to those consumed by immature individuals (d = 5.21).</p></sec><sec id="s3_4_3"><title>3.4.3. Temporal Variation in Diet</title><p>Temporal variation in diet was carried out by principal component analysis applied to the numerical abundances of prey. Results in <xref ref-type="table" rid="table4">Table 4</xref> indicated that the</p><p>first two factor axes (Fact 1 and Fact 2) explain 74.35% of the total variance, suggesting that the factorial plan Fact 1 &#215; Fact 2 can restore most of the information contained in the data.</p><p>The projection of months in the factorial plane (Fact 1 &#215; Fact 2) shown in Figure9(a) indicates a slight temporal variation in the food items of C. nigrodigitatus. It is evident from this Figurethat the twelve months of the year form four groups: 1) March to August 2) November, December and February, 3) September and October, and 4) January. The projection of the preys in the same plane is presented in Figure9(b). This figure, compared to that of the months indicates that the months of the first group are characterized by a high abundance of shrimps in the food spectrum. The second group is mostly dominated by clams. The unidentified fish were abundant during September and October while juvenile clams dominated the food spectrum in January.</p><p>The detailed presentation of the monthly food spectrum of the species (<xref ref-type="fig" rid="fig1">Figure 1</xref>0) shows that this variation in diet is mainly due to temporal variation in the abundance of shrimps in the ecosystem. Indeed, the first appearance of shrimps (F. notialis) in the diet of C. nigrodigitatus was noted in December at the beginning of the dry season. The predation on shrimps (F. notialis) increased gradually to a maximum reached in May before decreasing until it is canceled from</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Eigenvalues, total variances explained and cumulative variances</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Fact 1</th><th align="center" valign="middle" >Fact 2</th><th align="center" valign="middle" >Fact 3</th></tr></thead><tr><td align="center" valign="middle" >Eugenvalues</td><td align="center" valign="middle" >6.35</td><td align="center" valign="middle" >2.57</td><td align="center" valign="middle" >1.56</td></tr><tr><td align="center" valign="middle" >% Total variance</td><td align="center" valign="middle" >52.91</td><td align="center" valign="middle" >21.44</td><td align="center" valign="middle" >12.99</td></tr><tr><td align="center" valign="middle" >% Cumulated Variance</td><td align="center" valign="middle" >52.91</td><td align="center" valign="middle" >74.35</td><td align="center" valign="middle" >87.35</td></tr></tbody></table></table-wrap><p>Note: The prey codes in the legend are defined in <xref ref-type="table" rid="table2">Table 2</xref>.</p><p>September to November. This variation seems to be inversely proportional to those of clams and fishes.</p></sec></sec></sec><sec id="s4"><title>4. Discussion</title><p>Sex ratio and size structure constitute the basic information for assessing reproductive potential and estimating the stock size of populations [<xref ref-type="bibr" rid="scirp.104150-ref46">46</xref>]. Analysis of the sex ratio of C. nigrodigitatus in Lake Togo-Lagoon of An&#233;ho showed that the number of males was significantly higher than that of females. It can be explained by the fact that the fishing gear was not installed near the breeding grounds [<xref ref-type="bibr" rid="scirp.104150-ref19">19</xref>]. These results are similar to those obtained for the same species in some aquatic ecosystems in Nigeria [<xref ref-type="bibr" rid="scirp.104150-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref31">31</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref47">47</xref>]. However, they differ from those reported by Vanderpuye [<xref ref-type="bibr" rid="scirp.104150-ref17">17</xref>] in Volta Lake. These apparently contradictory results could be attributed to partial segregation of mature forms through habitat preferences and migration or behavioral differences between sexes rendering one sex more easily caught than the other [<xref ref-type="bibr" rid="scirp.104150-ref46">46</xref>]. According to Offem et al. [<xref ref-type="bibr" rid="scirp.104150-ref19">19</xref>], males migrate more frequently from breeding grounds to feeding areas located in shallow parts of the water body where they become vulnerable to be captured. Also, they suggest that females could take more shelter for incubation and protection of their offspring. Likewise, some samples obtained by Vanderpuye [<xref ref-type="bibr" rid="scirp.104150-ref17">17</xref>] suggest that females of Chrysichthys spp aggregate during certain periods of the year. Nevertheless, sex ratio divergence might also be explained by food availability and changes in environmental conditions. Nikolsky [<xref ref-type="bibr" rid="scirp.104150-ref48">48</xref>] observed that when food is limited, males predominate, with the situation reversing in regions where food is abundant.</p><p>The length frequency distribution of silver catfish collected in Epe Lagoon in Nigeria showed a triple mode suggesting that the species were made of three age groups during the study period [<xref ref-type="bibr" rid="scirp.104150-ref31">31</xref>]. On the contrary, in the present study, there was no evidence of more than one mode in the size structure which might suggest spawning periods. Similar results were obtained by Vanderpuye [<xref ref-type="bibr" rid="scirp.104150-ref17">17</xref>] in Volta Lake (Ghana). These findings conform to the assertion of year-round recruitment and breeding which is common in tropical species because of the relatively stable and elevated water temperatures in the tropics [<xref ref-type="bibr" rid="scirp.104150-ref49">49</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref50">50</xref>]. The maximum total lengths and total weights recorded during this study (Lt = 53.50 cm and Wt = 1660.50 g) are similar to those observed by Idodo-Umeh [<xref ref-type="bibr" rid="scirp.104150-ref51">51</xref>] in the Ase River in Nigeria (Lt = 57.5 cm, Wt = 1500 g). However, these values are much higher than those recorded in C. nigrodigitatus from Epe Lagoon in Nigeria (24.30 cm and 178.87 g) by Lawal et al. [<xref ref-type="bibr" rid="scirp.104150-ref31">31</xref>] and from the Aiba Reservoir in Nigeria (25.6 cm and 288.7 g) by Atobatele and Ugwumba [<xref ref-type="bibr" rid="scirp.104150-ref15">15</xref>]. The variations of size (length and weight) in fishes may be due to a number of factors including season, habitat, genetic and environmental factors [<xref ref-type="bibr" rid="scirp.104150-ref37">37</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref52">52</xref>]. In addition, these variations can be affected by gonad maturity, sex, diet and stomach fullness, health and preservation techniques [<xref ref-type="bibr" rid="scirp.104150-ref53">53</xref>].</p><p>The vacuity indexes obtained during this study appear to be relatively high (16.33% to 45.45%) and variable. The obtained vacuity indexes could be attributed to regurgitation during capture in fixed gillnets [<xref ref-type="bibr" rid="scirp.104150-ref54">54</xref>] and/or to excessively long fishing periods during which digestion continues [<xref ref-type="bibr" rid="scirp.104150-ref55">55</xref>]. The monthly variations in the vacuity indexes recorded in the present study (<xref ref-type="fig" rid="fig3">Figure 3</xref>) indicate the existence of a seasonal rhythm in the feeding activity of C. nigrodigitatus in Lake Togo-Lagoon of An&#233;ho [<xref ref-type="bibr" rid="scirp.104150-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref24">24</xref>]. The periods of intense feeding activity probably correspond to those of the availability of preferred prey in the environment [<xref ref-type="bibr" rid="scirp.104150-ref56">56</xref>]. Thus, the rhythm of feeding activity in fishes is conditioned by temporal variations in the availability of food in the environment [<xref ref-type="bibr" rid="scirp.104150-ref57">57</xref>] and environmental factors such as the transparency of the water [<xref ref-type="bibr" rid="scirp.104150-ref58">58</xref>]. The increase of the vacuity index with size of the species (<xref ref-type="fig" rid="fig4">Figure 4</xref>) could be explained by the fact that young individuals appear to be more agile than adults in finding and capturing active prey [<xref ref-type="bibr" rid="scirp.104150-ref56">56</xref>].</p><p>Analysis of the stomach contents revealed that C. nigrodigitatus in Lake Togo-Lagoon of An&#233;ho complex fed on a wide range of food items notably bivalves and gastropods (mainly G. paradoxa and P. fusca), decapod crustaceans (F. notialis and C. amnicola) and various fish species. In addition, vegetables, amphipods, ostracods, insect larvae, annelids and mud were present but in very small quantities. These results in agreement with the findings of Lal&#232;y&#232; et al. [<xref ref-type="bibr" rid="scirp.104150-ref59">59</xref>] in the Lake Nokou&#233;-Porto Novo Lagoon complex in Benin and those of Lawal et al. [<xref ref-type="bibr" rid="scirp.104150-ref31">31</xref>] in the EpeLagoon in Nigeria. However, C. nigrodigitatus has been reported to feed mainly ongastropod mollusc and ostracod crustaceans in Lekki Lagoon in Nigeria [<xref ref-type="bibr" rid="scirp.104150-ref60">60</xref>]. On the other hand, Oronsaye and Nakpodia [<xref ref-type="bibr" rid="scirp.104150-ref61">61</xref>] and Esenowo et al. [<xref ref-type="bibr" rid="scirp.104150-ref21">21</xref>] found that the diets of the silver catfish respectively from the Ethiope and Nwaniba Rivers (Nigeria) were dominated by detritus, plant matters, insects and fish remains. Atobatele and Ugwumba [<xref ref-type="bibr" rid="scirp.104150-ref15">15</xref>] reported that in the Aiba reservoir, the diet of C. nigrodigitatus is dominated by crustaceans (copepods, ostracods) and various species of insects. Overall, it emerges from these studies that C. nigrodigitatus has a very eclectic diet based mainly on benthic food resources, molluscs, aquatic larvae of insects, shrimps and crabs but also copepods, ostracods, filamentous algae and small fishes. These food categories can be found in the diet either in greater or lesser numerical importance depending on the biotopes and the hydrological season. Based on these results, C. nigrodigitatus is an omnivorous species with a carnivorous tendency. This omnivorous character of the species was reported by other studies in tropical aquatic ecosystems [<xref ref-type="bibr" rid="scirp.104150-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref31">31</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref59">59</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref61">61</xref>]. Furthermore, according to the classification established by Lauzanne [<xref ref-type="bibr" rid="scirp.104150-ref62">62</xref>], the species can be considered a secondary consumer consuming mainly benthic invertebrates, zooplankton and zooperiphyton. Thus, although C. nigrodigitatus has a morphology suitable for feeding on the bottom of water bodies, a wide variety of prey has been found in its stomach. This suggests the ability of this species to move to different aquatic habitats to capture different kinds of prey. The plasticity of their diets gives the silver catfish the power to adapt to various biotopes, to very different geographic and climatic conditions. In the different ecological conditions in which they may live, they will find food that suits them [<xref ref-type="bibr" rid="scirp.104150-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref62">62</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref63">63</xref>]. The presence of mud and sand in the stomachs of these fish could be due to accidental ingestion along with other foods [<xref ref-type="bibr" rid="scirp.104150-ref64">64</xref>].</p><p>The dietary spectra of the male and female are found to be similar in the present study according to the Schoener Overlap Index. This lack of variation in utilization of resources between sexes indicates that resource sharing or potential competition might exist between males and females. This finding defers from the results of Lauzanne [<xref ref-type="bibr" rid="scirp.104150-ref62">62</xref>] in which the males of C. nigrodigitatus fed more on planktonic crustaceans while the females fed more on benthic insect larvae in Aiba reservoir (Nigeria). According to these authors, this suggests a strategy for reducing intraspecific competition. The sex based differences in food consumption by mature individuals could be related to gender asymmetry in the energy invested in the development of primary and secondary sexual characters [<xref ref-type="bibr" rid="scirp.104150-ref65">65</xref>].</p><p>The variation in diet composition according to fish sizes was observed in the present study. This ontogenetic variation has also been reported by many studies in diet of C. nigrodigitatus and other fish species [<xref ref-type="bibr" rid="scirp.104150-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref45">45</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref56">56</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref59">59</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref66">66</xref>] [<xref ref-type="bibr" rid="scirp.104150-ref67">67</xref>]. These changes in diet spectra may be an adaptation to reduce intraspecific competition between individuals belonging to different size classes [<xref ref-type="bibr" rid="scirp.104150-ref68">68</xref>]. However, this can be due to the opportunistic nature of the species in the environment or its ability to search for the preferred foods [<xref ref-type="bibr" rid="scirp.104150-ref45">45</xref>]. It is generally known that fishes preferentially consume the most abundant preys in the environment [<xref ref-type="bibr" rid="scirp.104150-ref62">62</xref>]. Nikolsky [<xref ref-type="bibr" rid="scirp.104150-ref48">48</xref>] had suggested that variation in the composition of food with age and size is a substantial adaptation towards increasing the range of food supply of their population by enabling the species to assimilate a variety of foods. Diet changes are often linked to anatomical changes in fish, allowing them to have a preference for large preys [<xref ref-type="bibr" rid="scirp.104150-ref24">24</xref>]. These large preys provide them with maximum energy for growth and reproductive functions [<xref ref-type="bibr" rid="scirp.104150-ref69">69</xref>].</p><p>The temporal variations observed in the diet are mostly dependent on the presence or absence of penaeidshrimps (F. notialis) in the hydrosystem. In fact, shrimps are completely absent from the diet of the catfish during September, October and November. This is due to the fact that these months correspond to a high water period in the hydrosystem via freshwater discharge leading to a considerable decrease of water salinity. Indeed, average salinity values in the hydrosystem dropped quickly from its maximum value of 14.8 g/l in March to 2.19 g/l in October [<xref ref-type="bibr" rid="scirp.104150-ref70">70</xref>]. This decrease in salinity triggers the return of shrimps to the ocean leading to their absence in the food spectrum of C. nigrodigitatus. Shrimpsre-appear in small quantities in December, corresponding to the start of the decrease in water level and the intrusion of marine waters into the lagoon. It is noted that in the absence of shrimps, the species feeds mainly on fish and bivalve molluscs (<xref ref-type="fig" rid="fig1">Figure 1</xref>0). Some previous studies on silver catfish food habits also demonstrated a shift in diet depending on prey availability. Dada and Araoye [<xref ref-type="bibr" rid="scirp.104150-ref71">71</xref>] reported that plant materials were high in the months that coincide with rainy season. Choaborus and chironomid insects commonly found in the stomachs of the species also coincide with reproduction period of insect, especially dipterans. Similar observations were made by Atobatele and Ugwumba [<xref ref-type="bibr" rid="scirp.104150-ref15">15</xref>]. Thus, the present study may conclude that the occurrence of different types of food items in stomach and gut contents of C. nigrodigitatus in different months depend on their availability rather than selection by the catfish. The species is a non-migratory fish and remains in a specific habitat throughout its life and has to adapt the food available in the habitat during all seasons of the year.</p></sec><sec id="s5"><title>5. Conclusion</title><p>The present study gives the first information on the food and feeding habits of C. nigrodigitatus in the Lake Togo-Lagoon of An&#233;ho complex. The findings confirmed that C. nigrodigitatus is an eclectic omnivore consuming mainly benthic invertebrates. Its diet varies depending on the size of individuals, their sexual maturity and time (months). However, no significant differences were observed between the sexes in terms of food preference. The dominance of Malacostraca and Mollusca in the diet is likely to be one of the more important considerations for future management plans. In this study, freshwater clams (juveniles and adults) constitute a considerable portion of the diet (44%), suggesting that the recent declining trend in G. paradoxa populations in the Mono River, in the Lake Togo and Lagoon of An&#233;hoas a result of habitat alteration and overfishing could have a negative effect on the catfish fisheries. Future studies should therefore focus on the macro-invertebrate fauna and its spatial and temporal distributions in the hydrosystem.</p></sec><sec id="s6"><title>Acknowledgements</title><p>This study was co-funded by the International Foundation for Science (IFS) in Sweden and the organization for the prohibition of chemical weapons (OPCW) in Netherland (IFS Scholarship: I-2-A-6056-1). We also wish to express our gratitude to the Laboratory of Management, Treatment and Valorization of Waste (Laboratoire Gestion, Traitement et Valorisation des D&#233;chets) of the University of Lom&#233; (Togo).</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s8"><title>Cite this paper</title><p>Ouro-Sama, K., Afiademanyo, K.M., Solitoke, H.D., Tanouayi, G., Badassan, T.E.-E., Ahoudi, H. and Gnandi, K. (2020) Diet and Food Consumption of the African Catfish, Chrysichthys nigrodigitatus Lac&#233;p&#232;de (1803) (Siluriformes: Claroteidae), from the Hydrosystem Lake Togo-Lagoon of An&#233;ho (South of Togo). Journal of Environmental Protection, 11, 954-976. https://doi.org/10.4236/jep.2020.1111060</p></sec></body><back><ref-list><title>References</title><ref id="scirp.104150-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Alune, E. and Andrew, G. (1996) Fishes. Cambridge University Press, London.</mixed-citation></ref><ref id="scirp.104150-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">FAO (2020) La situation mondiale des pêches et de l’aquaculture 2020. La durabilité en action. Rome. https://doi.org/10.4060/ca9229fr</mixed-citation></ref><ref id="scirp.104150-ref3"><label>3</label><mixed-citation publication-type="book" xlink:type="simple">Belhabib, D., Kutoub, V. and Pauly, D. (2015) The Marine Fisheries of Togo, the “Heart of West Africa”, 1950 to 2010. 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