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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">nr</journal-id>
      <journal-title-group>
        <journal-title>Natural Resources</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2158-7086</issn>
      <issn pub-type="ppub">2158-706X</issn>
      <publisher>
        <publisher-name>Scientific Research Publishing</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.4236/nr.2026.178013</article-id>
      <article-id pub-id-type="publisher-id">nr-153010</article-id>
      <article-categories>
        <subj-group>
          <subject>Article</subject>
        </subj-group>
        <subj-group>
          <subject>Earth</subject>
          <subject>Environmental Sciences</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Biological Assessment of Pollution in the Mfilou River Using Benthic Macroinvertebrates, Congo-Brazzaville</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Ngoulou</surname>
            <given-names>César</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Ngot</surname>
            <given-names>Honest Freedom Poaty</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Mamonékéné</surname>
            <given-names>Victor</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Zassi-Boulou</surname>
            <given-names>Ange Ghislain</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Mikémbi</surname>
            <given-names>Lérège Aulne Batiabo</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Moussounda</surname>
            <given-names>Samie Miriame Mabika</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Lenga</surname>
            <given-names>Arsène</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1"><label>1</label> Laboratory of Biodiversity and Animal Ecology, Faculty of Science and Technology, Marien Ngouabi University, Brazzaville, Republic of Congo </aff>
      <aff id="aff2"><label>2</label> National Institute for Research in Exact and Natural Sciences, Brazzaville, Republic of Congo </aff>
      <aff id="aff3"><label>3</label> National Higher School of Agronomy and Forestry (ENSAF), Marien Ngouabi University, Brazzaville, Republic of the Congo </aff>
      <author-notes>
        <fn fn-type="conflict" id="fn-conflict">
          <p>All authors confirm that they have read and approved the content of the submitted manuscript. They also declare that there are no conflicts of interest amoung the authors or with the publication ethics of the journal.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub">
        <day>04</day>
        <month>08</month>
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="collection">
        <month>08</month>
        <year>2026</year>
      </pub-date>
      <volume>17</volume>
      <issue>08</issue>
      <fpage>223</fpage>
      <lpage>236</lpage>
      <history>
        <date date-type="received">
          <day>23</day>
          <month>04</month>
          <year>2026</year>
        </date>
        <date date-type="accepted">
          <day>01</day>
          <month>08</month>
          <year>2026</year>
        </date>
        <date date-type="published">
          <day>04</day>
          <month>08</month>
          <year>2026</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© 2026 by the authors and Scientific Research Publishing Inc.</copyright-statement>
        <copyright-year>2026</copyright-year>
        <license license-type="open-access">
          <license-p> This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link> ). </license-p>
        </license>
      </permissions>
      <self-uri content-type="doi" xlink:href="https://doi.org/10.4236/nr.2026.178013">https://doi.org/10.4236/nr.2026.178013</self-uri>
      <abstract>
        <p>This study assesses pollution in the Mfilou River using only benthic macroinvertebrates collected from five sampling stations during four sampling campaigns alternating between the dry and rainy seasons, from 2018 to 2020. Specimens were collected, identified, and classified. The Chironomidae index, the Normalized Global Biological Index (IBGN) and the Family Biotic Index (FBI) were used to determine the different levels of sediment-related pollution and organic pollution. The results show moderate pollution linked to sediments at the Maraîchère Zone station and organic pollution of intensity ranging from net to severe in the Mfilou River.</p>
      </abstract>
      <kwd-group kwd-group-type="author-generated" xml:lang="en">
        <kwd>Biological Indexes</kwd>
        <kwd>Aquatic Ecosystems</kwd>
        <kwd>Integrity Status</kwd>
        <kwd>Biodiversity</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>1. Introduction</title>
      <p>Freshwater environments represent complex and dynamic ecosystems. They play essential roles in biodiversity conservation, organismal functioning, and the cycling of organic matter and nutrients, as well as in energy transfer [<xref ref-type="bibr" rid="B1">1</xref>]. However, they are exposed to anthropogenic pressures related to the exploitation of mineral, agricultural, and other resources, resulting in significant changes to the structure of the plant and animal communities that inhabit them, including benthic macroinvertebrates. Threats to the extinction of species and ecosystems have been observed, more alarming than ever in recent decades [<xref ref-type="bibr" rid="B2">2</xref>], to the point where intensive human exploitation of natural resources has led to the depletion, or even near-disappearance, of some of them. Nutrient accumulation in waterways is one of the most widespread ecological problems, responsible for freshwater pollution worldwide [<xref ref-type="bibr" rid="B3">3</xref>].</p>
      <p>At the same time, the silting up of waterways by natural phenomena and/or human activity has serious consequences for their proper functioning, namely the decline of aquatic species, the considerable reduction of spawning grounds, and the significant deterioration of the biological functioning of aquatic invertebrates [<xref ref-type="bibr" rid="B4">4</xref>]. It alters the physical habitat of waterways. Formerly biogenic, habitats experience the accumulation of a layer of sand, degrading their potential. Siltation also leads to a decrease in the river’s capacity to support aquatic fauna, and the services it provides are also impaired. Similar to the decrease in the river’s self-purification capacity, which is directly linked to the quality of water for human consumption [<xref ref-type="bibr" rid="B4">4</xref>]. Moreover, excessive siltation or over-siltation, due to urbanization, runoff, agriculture, livestock farming, and reduced morphogenic flows [<xref ref-type="bibr" rid="B5">5</xref>][<xref ref-type="bibr" rid="B6">6</xref>], is often considered an indicator of poor biological quality of the substrate [<xref ref-type="bibr" rid="B7">7</xref>] and can affect all aquatic communities, cause the clogging of interstices between coarse sediments, leading to a decrease in oxygenation of the hyporheic zone and threatening benthic macroinvertebrates [<xref ref-type="bibr" rid="B8">8</xref>]. Consequently, these profound changes deteriorate the integrity of these ecosystems, which are relatively homogeneous functional units in which a collection of living organisms interact with each other and their environment. Ecological integrity refers to the state of an ecosystem whose structure and functions are not altered by stresses attributable to human activity, and which retains its capacity to adapt. The closer an ecosystem is to this condition, the more it is considered to be intact.</p>
      <p>Thus, ecological studies are of paramount importance in the management of natural systems on the one hand, and in the assessment of the ecological health of aquatic systems on the other hand [<xref ref-type="bibr" rid="B1">1</xref>]. This explains the valued use of aquatic macroinvertebrates in assessing the health of aquatic ecosystems, as they offer numerous advantages due to their great diversity and variable tolerance to pollution and habitat degradation, as well as their sedentary nature [<xref ref-type="bibr" rid="B9">9</xref>]. They are excellent bioindicators and reflect the ecological status of surface waters, reacting very quickly to changes in their environment [<xref ref-type="bibr" rid="B10">10</xref>], through the accumulation of pollutants and environmental disturbances over relatively long periods, from a few months to several years [<xref ref-type="bibr" rid="B11">11</xref>].</p>
      <p>Consequently, several indices have been established [<xref ref-type="bibr" rid="B12">12</xref>], including indices of benthic macroinvertebrate tolerance to pollution, among which are the normalized global biological index (IBGN) and the Hilsenhofff family biotic index [<xref ref-type="bibr" rid="B13">13</xref>]-[<xref ref-type="bibr" rid="B15">15</xref>].</p>
      <p>In Congo, as elsewhere, certain aquatic ecosystems are experiencing intense anthropogenic pressures, and the Mfilou River is no exception. However, the assessment of the level of degradation of these ecosystems, specifically the assessment of pollution, has so far been carried out at the national level only through a physicochemical approach. Therefore, we undertook a preliminary study focusing on the biological assessment of water pollution in the Mfilou River, using benthic macroinvertebrates. Previous studies [<xref ref-type="bibr" rid="B16">16</xref>] have shown that the waters of the Mfilou River are devoid of pollution-sensitive taxa (Mayflies, Stoneflies, and Trichoptera). The aim of this study is to highlight the different levels of pollution in the Mfilou River using a biological approach, specifically through benthic macroinvertebrates. It should be noted that the type and severity of pollution were determined from biological indices, without concomitant physico-chemical validation.</p>
    </sec>
    <sec id="sec2">
      <title>2. Materials and Methods</title>
      <sec id="sec2dot1">
        <title>2.1. Study Area</title>
        <p>The Mfilou River, 7740 m long, is located south of Brazzaville. It flows through three districts: Moungali, where it originates; Mfilou, where it flows; and Makélékélé, where it joins the Djoué River, a tributary of the Congo River.</p>
        <p>The city of Brazzaville is located in the southeastern part of the Republic of the Congo, specifically between latitudes 4˚11'45'' and 4˚18'45'' South and longitudes 15˚11'15'' and 15˚18'45'' East [<xref ref-type="bibr" rid="B17">17</xref>] (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Its climate is of the Lower Congo type, with abundant rainfall ranging from 900 to 2200 mm. Two types of seasons characterize it: a rainy season between October and May and a dry season from June to September [<xref ref-type="bibr" rid="B18">18</xref>][<xref ref-type="bibr" rid="B19">19</xref>]. Its vegetation is dominated by herbaceous savanna. Brazzaville drains a particularly rich hydrographic network, with major rivers (Congo, Djoue, Djiri, and Djouari) each representing an inexhaustible resource. In addition to each river, there is a series of streams and rivulets (Mfilou, Mfoa, Tsiémé, etc.): suburban basins whose flow never dries up. The groundwater potential of the Brazzaville region is significant. During periods of low water, the small suburban streams are fed exclusively by groundwater. The measured flow rates correspond to the total groundwater flow for the portion of the basin intercepted by the measuring station [<xref ref-type="bibr" rid="B20">20</xref>].</p>
        <p>Its climate is of the Lower Congo type, with abundant rainfall ranging from 900 to 2200 mm [<xref ref-type="bibr" rid="B18">18</xref>]. It experiences a short dry season of four (4) months (J-J-O-S) and a rainy season of eight (8) months (O-N-D-J-F-M-A-M). The basin’s geology consists of overlying sandy formations (Batéké Plateaux Series).</p>
        <p>Five stations were selected for data collection: Egout Laiterie, Zone Maraîchère, Diata, Mâ Campagne, and Confluence (<bold>Table 1</bold>). All five stations are exposed to various human activities: discharge of household wastewater, industrial wastewater, and runoff; siltation of the upstream watercourse; sand extraction; market gardening; fishing; swimming; etc.</p>
        <p>Table 1. Geographic coordinates of the Mfilou River sampling stations.</p>
        <table-wrap id="tbl1">
          <label>Table 1</label>
          <table>
            <tbody>
              <tr>
                <td rowspan="2">
                  <bold>Coordinates</bold>
                </td>
                <td colspan="3">
                  <bold>Station</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Egout</bold>
                  <bold>laiterie</bold>
                </td>
                <td>
                  <bold>Zone</bold>
                  <bold>maraîchère</bold>
                </td>
                <td>
                  <bold>Diata</bold>
                </td>
                <td>
                  <bold>Mâ</bold>
                  <bold>campagne</bold>
                </td>
                <td>
                  <bold>Confluence</bold>
                </td>
              </tr>
              <tr>
                <td>Longitude (s)</td>
                <td>04˚15'02''2</td>
                <td>04˚15'02''2</td>
                <td>04˚16'32''1</td>
                <td>04˚16'99''4</td>
                <td>04˚18'06''6</td>
              </tr>
              <tr>
                <td>Latitude (E)</td>
                <td>015˚14'55''6</td>
                <td>015˚14'55''6</td>
                <td>015˚14'06''3</td>
                <td>015˚13'93''0</td>
                <td>015˚13'56''1</td>
              </tr>
              <tr>
                <td>Latitude (E)</td>
                <td>015˚14'55''6</td>
                <td>015˚14'55''6</td>
                <td>015˚14'06''3</td>
                <td>015˚13'93''0</td>
                <td>015˚13'56''1</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <fig id="fig1">
          <label>Figure 1</label>
          <graphic xlink:href="https://html.scirp.org/file/2001362-rId15.jpeg?20260804112952" />
        </fig>
        <p>Figure 1. Map of the Mfilou River sampling area (Congo-Brazzaville).</p>
      </sec>
      <sec id="sec2dot2">
        <title>2.2. Macroinvertebrate Sampling</title>
        <p>The macroinvertebrates included in this study were collected from five stations distributed along the Mfilou River from upstream to downstream. Four seasonal sampling campaigns of benthic macroinvertebrates were conducted between October 2018 and January 2020, using a Surber net and a Troubleau net. The collected specimens were sorted in the field and in the laboratory, then identified and counted using an OPTIKA binocular microscope and a Carl Zeiss 2000 optical microscope [<xref ref-type="bibr" rid="B16">16</xref>], at the Department of Oceanography and Environment of the National Institute for Research in Exact and Natural Sciences (IRSEN). These organisms were fixed in 95% alcohol and preserved in 1.5 cm × 6 cm and 6 cm × 12.5 cm jars. Several identification keys were used at the Oceanography and Envi-ronment Department of the National Institute for Research in Exact and Natural Sciences (IRSEN) [<xref ref-type="bibr" rid="B21">21</xref>]-[<xref ref-type="bibr" rid="B24">24</xref>].</p>
      </sec>
      <sec id="sec2dot3">
        <title>2.3. Data Analysis</title>
        <p>The taxonomic composition, species richness, abundances, and biotic indices presented below were determined during this study. The data were processed using Excel 2013.</p>
        <p><bold>Chironomidae index</bold></p>
        <p>The Chironomidae index represents the ratio of Chironomidae abundance to the total abundance of organisms present at a monitoring station [<xref ref-type="bibr" rid="B25">25</xref>]. It allows for the determination of sediment pollution in a watercourse. This index is calculated using the following formula:</p>
        <disp-formula id="FD1">
          <mml:math display="inline">
            <mml:mrow>
              <mml:mtext>Chironomidae Index</mml:mtext>
              <mml:mo>=</mml:mo>
              <mml:mfrac>
                <mml:mrow>
                  <mml:mtext>Chironomidae Abundance</mml:mtext>
                  <mml:mtext>
                     
                  </mml:mtext>
                </mml:mrow>
                <mml:mrow>
                  <mml:mtext>Totale Abundance</mml:mtext>
                  <mml:mtext>
                     
                  </mml:mtext>
                </mml:mrow>
              </mml:mfrac>
              <mml:mo>×</mml:mo>
              <mml:mn>100</mml:mn>
            </mml:mrow>
          </mml:math>
        </disp-formula>
        <p>proposes the following classification based on the relative abundance of Chironomidae:</p>
        <p>A scale for interpreting the Chironomidae index based on their abundance was proposed by [<xref ref-type="bibr" rid="B26">26</xref>]. Thus:</p>
        <p>% Chironomidae &gt; 75%: Highly polluted water;20% &lt; % Chironomidae ≤ 75%: Moderately polluted water;5% &lt; % Chironomidae ≤ 20%: Slightly polluted water;% Chironomidae ≤ 5%: Very good water quality.</p>
        <p><bold>The Normalized Global Biotic Index (IBGN)</bold> is determined using a table of 14 taxonomic variety classes and 9 indicator faunal groups, with values ranging from 1 to 20 [<xref ref-type="bibr" rid="B27">27</xref>]. In the absence of a significant number of indicator taxa (n &lt; 3 or 10 individuals), the IBGN score is 0 [<xref ref-type="bibr" rid="B28">28</xref>]. This index provides a value between 0 and 20, corresponding to 5 quality classes [<xref ref-type="bibr" rid="B27">27</xref>]. The average reference value determined by [<xref ref-type="bibr" rid="B29">29</xref>] was used to distinguish between good-quality and poor-quality sites. The IBGN was determined according to the relationship proposed in [<xref ref-type="bibr" rid="B30">30</xref>], and <bold>Table 2</bold> allows for the interpretation of the results obtained.</p>
        <p>Table 2. Variation intervals and interpretation of the IBGN.</p>
        <table-wrap id="tbl2">
          <label>Table 2</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>interval</bold>
                </td>
                <td>
                  <bold>Quality</bold>
                </td>
                <td>
                  <bold>Pollution level</bold>
                </td>
                <td>
                  <bold>Pollution type</bold>
                </td>
              </tr>
              <tr>
                <td>IBGN ≤ 4</td>
                <td>Very poor</td>
                <td>Excessive pollution</td>
                <td rowspan="5">Organic pollution</td>
              </tr>
              <tr>
                <td>5&lt; IBGN &lt; 8</td>
                <td>Poor</td>
                <td>Significant pollution</td>
              </tr>
              <tr>
                <td>9&lt; IBGN &lt; 12</td>
                <td>Average</td>
                <td>Net pollution</td>
              </tr>
              <tr>
                <td>13 &lt; IBGN &lt; 16</td>
                <td>Good</td>
                <td>Moderate pollution</td>
              </tr>
              <tr>
                <td>IBGN ≥ 17</td>
                <td>Very good</td>
                <td>Excellent water quality</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p><bold>The</bold><bold>Hilsenhoff</bold><bold>Family Biotic Index (FBI)</bold>(pollution tolerance and intolerance) is widely used to assess the biotic integrity of benthic invertebrate communities [<xref ref-type="bibr" rid="B31">31</xref>]. According to [<xref ref-type="bibr" rid="B32">32</xref>], the variant used is based on family identification (FBI). Each family is associated with a pollution tolerance value by which the number of sampled individuals is multiplied. The results for each family are summed and then divided by the total number of organisms collected. The final index score (one per station) is then converted to the Hilsenhoff scale to correlate it with a corresponding water quality (<bold>Table 3</bold>). The Hilsenhoff index takes into account the tolerance ranges assigned to each organism composing the community [<xref ref-type="bibr" rid="B33">33</xref>]-[<xref ref-type="bibr" rid="B35">35</xref>].</p>
        <p><inline-formula><mml:math display="inline"><mml:mrow><mml:mi> F </mml:mi><mml:mi> B </mml:mi><mml:mi> I </mml:mi><mml:mo> = </mml:mo><mml:mfrac><mml:mrow><mml:msub><mml:mi> x </mml:mi><mml:mi> i </mml:mi></mml:msub><mml:mo> ∗ </mml:mo><mml:msub><mml:mi> t </mml:mi><mml:mn> 1 </mml:mn></mml:msub></mml:mrow><mml:mi> N </mml:mi></mml:mfrac></mml:mrow></mml:math></inline-formula> : où</p>
        <p><italic>x</italic><italic><sub>i</sub></italic> = Number of individuals of an identified taxon;</p>
        <p><italic>t</italic><italic><sub>i</sub></italic> = tolerance of this same taxon;</p>
        <p><italic>N</italic> = total number of individuals in the sample.</p>
        <p>Table 3. FBI Interpretation scale.</p>
        <table-wrap id="tbl3">
          <label>Table 3</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>FBI Values</bold>
                </td>
                <td>
                  <bold>Water Quality</bold>
                </td>
                <td>
                  <bold>Interpretation</bold>
                </td>
              </tr>
              <tr>
                <td>0.00 - 3.75</td>
                <td>Excellent e</td>
                <td>No organic pollution</td>
              </tr>
              <tr>
                <td>3.76 - 4.25</td>
                <td>Very good</td>
                <td>Slight organic pollution possible</td>
              </tr>
              <tr>
                <td>4.26 - 5.00</td>
                <td>Good</td>
                <td>Organic pollution likely</td>
              </tr>
              <tr>
                <td>5.01 - 5.75</td>
                <td>Average</td>
                <td>Fairly substantial organic pollution</td>
              </tr>
              <tr>
                <td>5.76 - 6.50</td>
                <td>Ratger poor</td>
                <td>substantial organic pollution</td>
              </tr>
              <tr>
                <td>6.51 - 7.25</td>
                <td>Poor</td>
                <td>Very substantial organic pollution</td>
              </tr>
              <tr>
                <td>7.26 - 10.00</td>
                <td>Very poor</td>
                <td>Severe organic pollution</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
    </sec>
    <sec id="sec3">
      <title>3. Results</title>
      <sec id="sec3dot1">
        <title>3.1. Taxonomic Composition of Benthic Macroinvertebrates</title>
        <p>The benthic macroinvertebrates communities collected in the Mfilou River comprise 17,325 specimens belonging to 169 taxa unevenly distributed among 62 families, 16 orders, 6 classes and 4 phyla, including Arthropoda (39 families and 76 taxa), Mollusca (13 families and 32 taxa), Annelida (9 families and 20 taxa) and Nematomorpha (1 family and taxon) (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p>
        <fig id="fig2">
          <label>Figure 2</label>
          <graphic xlink:href="https://html.scirp.org/file/2001362-rId20.jpeg?20260804112953" />
        </fig>
        <p>Figure 2. Taxonomic composition of benthic macroinvertebrates in the Mfilou River.</p>
        <p>The class Insecta dominates this benthic community, followed by Gastropods and Clitellates. Insects comprise 6 orders, 37 families, and 74 taxa, representing 57.36% of the taxonomic richness of the studied benthic community; Gastropods have 3 orders, 12 families, and 30 taxa, representing 23.26%; Clitellates, 3 orders, 9 families, and 20 taxa, representing 15.50%; Aranea, with 2 families and 2 taxa, representing 1.55%; and Gordioida, with a single order, family, and species, representing 0.78% of the overall taxonomic richness. </p>
        <p>Diptera represent 21% of the order richness, with 21% of families present in the benthic community, followed by Hemiptera (15%) and Coleoptera (11%). Rhynchobdellida, Ephemeroptera, Litthorinimorpha, and Arhynchobdellida represent the least diverse orders, each accounting for 3% of the taxonomic richness (<xref ref-type="fig" rid="fig3">Figure 3</xref>).</p>
        <fig id="fig3">
          <label>Figure 3</label>
          <graphic xlink:href="https://html.scirp.org/file/2001362-rId21.jpeg?20260804112953" />
        </fig>
        <p>Figure 3. Richness of benthic macroinvertebrates orders recorded in the Mfilou River.</p>
        <p><bold>Spatial variation in overall taxonomic richness and abundance of benthic macroinvertebrates</bold></p>
        <p>The number of taxa in the Mfilou River varies from one station to another, ranging from 25 taxa at the Egout Laiterie station to 61 taxa at the Confluence station. The number of families, meanwhile, ranges from 17 at the Egout laiterie station to 34 at the Diata station (<xref ref-type="fig" rid="fig4">Figure 4</xref>).</p>
        <fig id="fig4">
          <label>Figure 4</label>
          <graphic xlink:href="https://html.scirp.org/file/2001362-rId22.jpeg?20260804112953" />
        </fig>
        <p>Figure 4. Spatial variation of taxa and families recorded in the Mfilou River.</p>
      </sec>
      <sec id="sec3dot2">
        <title>3.2. Biological Quality</title>
        <p><bold>Chironomidae Index</bold></p>
        <p>Chironomidae represent 24.45% of the sample size of the Mfilou benthic community. However, variability in their relative abundance was observed at the sampling stations, with values ranging from 0.02% at the Mâ Campagne station to 22.15% at the Zone Maraîchère station (<bold>Table 4</bold>). </p>
        <p><bold>Normalized Global Biological Index</bold></p>
        <p>Organic pollution was assessed using the normalized global biotic index (NGBI), measured at all stations along the Mfilou River. The NGBI values obtained ranged from 7 at the Egout Laiterie station to 11 at the Diata station (<xref ref-type="fig" rid="fig5">Figure 5</xref>).</p>
        <p><bold>Family Biotic Index (FBI) of the</bold><bold>Mfilou</bold><bold>River</bold></p>
        <p>In this study, the FBI values for the five stations in Mfilou show overall fluctuations, with a maximum of 8.00 recorded at the Zone maraîchère station and a minimum of 6.11 at the Diata station (<xref ref-type="fig" rid="fig5">Figure 5</xref>).</p>
        <p>Table 4. Spatial variations of the Chironomidae index in the Mfilou River during the study period.</p>
        <table-wrap id="tbl4">
          <label>Table 4</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>Stations</bold>
                </td>
                <td>
                  <bold>Chironomidae Index Value (%)</bold>
                </td>
                <td>
                  <bold>Interpreting</bold>
                </td>
                <td>
                  <bold>Pollution type</bold>
                </td>
              </tr>
              <tr>
                <td>Egout laiterie</td>
                <td>1.41</td>
                <td>Very good water quality</td>
                <td rowspan="5">Sediment-related pollution</td>
              </tr>
              <tr>
                <td>Zone maraîchère</td>
                <td>22.15</td>
                <td>Moderalety polluted water</td>
              </tr>
              <tr>
                <td>Diata</td>
                <td>0.19</td>
                <td>Very good water quality</td>
              </tr>
              <tr>
                <td>Mâ campagne</td>
                <td>0.02</td>
                <td>Very good water quality</td>
              </tr>
              <tr>
                <td>Confluence</td>
                <td>0.67</td>
                <td>Very good water quality</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <fig id="fig5">
          <label>Figure 5</label>
          <graphic xlink:href="https://html.scirp.org/file/2001362-rId23.jpeg?20260804112953" />
        </fig>
        <p>Figure 5. Spatial variation of the IBGN and Hilsenhoff Family Biotic Index (FBI) at the Mfilou station.</p>
      </sec>
    </sec>
    <sec id="sec4">
      <title>4. Discussion</title>
      <p><bold>Taxonomic diversity</bold></p>
      <p>The benthic macroinvertebrates of Mfilou comprise 129 taxa belonging to 62 families, 16 orders, 6 classes, and 4 phyla. They are unevenly distributed across the different stations, with the Diata station being the richest in taxa. Despite the observed anthropogenic pressure (market gardening, household and industrial wastewater discharges, siltation, and even over-siltation, etc.), this taxonomic richness remains high. This situation is similar to the observations made by [<xref ref-type="bibr" rid="B36">36</xref>], who showed that taxonomic richness is high in the most heterogeneous areas of the foothills and lower mountains (200 to 500 m altitude). Conversely, our results contrast with those obtained by [<xref ref-type="bibr" rid="B37">37</xref>], who identified 22 taxa belonging to 18 families, 8 orders, 3 classes, and 2 phyla among 365 specimens collected in a reserve where increased human pressure was observed. However, the high taxonomic richness of benthic macroinvertebrates observed in the Mfilou River is not synonymous with good hydrological quality of its waters. Indeed, the benthic macroinvertebrates community of the Mfilou River is composed of only 57.21% insects. The absence of Trichoptera and Plecoptera, and the near-total absence of Ephemeroptera (only 2 taxa, representing 3.23% of the taxonomic richness, were identified), clearly demonstrate the severe degradation of this river [<xref ref-type="bibr" rid="B16">16</xref>]. In fact, the individuals in this group are pollution-sensitive. It should be noted that insects are an indicator group of the ecological integrity of any ecosystem, due to their plasticity, and that they represent the most important animal group in terms of taxonomic richness, far exceeding that of all other groups present, even combined, in the same ecosystem. because they represent nearly 95% of the organisms present in the environment [<xref ref-type="bibr" rid="B38">38</xref>][<xref ref-type="bibr" rid="B39">39</xref>]. Among the 129 taxa listed, the Diptera <italic>Chironomus</italic> sp. (Chironomidae), the Neotaenioglossa <italic>Melonia tuberculata</italic> (Thiaridae), and the Haplotaxida Naidiidae are the most numerous groups. Some authors, including [<xref ref-type="bibr" rid="B40">40</xref>], attest that these taxa, which colonize all environments, are ubiquitous and are often present in very large numbers.</p>
      <p><bold>Chironomidae Index</bold></p>
      <p>Often considered indicators of organic and/or metallic pollution, in this study, Chironomidae were also used to investigate other types of pollution, such as sediment-related pollution. The approach involved calculating the Chironomidae index, the values of which allow for the identification of the degree of sediment pollution at different sampling stations along a watercourse [<xref ref-type="bibr" rid="B26">26</xref>]. Thus, the Chironomidae index values obtained at the five study stations show that the waters present a dual diagnosis: clean water at the Egout Laiterie, Diata, Mâ Campagne, and Confluence stations, and moderate pollution at the Zone Maraîchère station. This station is characterized by a strong dominance of sediments, specifically sand-silt, which represented 87% of the substrate at this station during the study period. This could explain the overwhelming dominance of <italic>Chironomus</italic> larvae (Chironomidae, Chironominae, Chironomini) at this site, where they represent nearly 98.00% of the sample size and 22.15% of the specimens collected in the Mfilou River. Indeed, it is likely that they prefer soft, homogeneous sediments for building their tubes. [<xref ref-type="bibr" rid="B41">41</xref>] support this hypothesis, as the sedentarization of the larvae ensures good representation in their environment, since they are in contact with the sediments throughout their larval (2 to 4) and pupal stages. This preference would explain their proliferation at the Zone maraîchère statiton [<xref ref-type="bibr" rid="B42">42</xref>].</p>
      <p><bold>Normalized Global Biological Index (IBGN)</bold></p>
      <p>The values of the Normalized Global Biological Index allow the waters of the Mfilou River to be grouped into two quality classes. Class 2, characteristic of waters of average hydrological quality, reflects significant organic pollution at the Zone maraîchère, Diata, Mâ Campagne, and Confluence stations, where IBGN scores range from 9/20 to 11/20. The other class is designated as Class 3, characteristic of waters of poor hydrological quality, indicating high organic pollution at the Egout Laiterie station, where the IBGN score is 7/20. These results show a low number of taxa at the Egout Laiterie station due to more challenging environmental conditions, including high levels of sand-silt and suspended solids (SS). The indicator faunal groups are <italic>Chironomus</italic> sp. and <italic>Melanoides</italic><italic>tuberculata</italic>. This high taxonomic richness, present across all stations and ranging from 17 to 34 taxa, is strongly dominated by <italic>Melanoides</italic><italic>tubercluta</italic> (67.73%) and <italic>Chironomus</italic> sp. (22.15%).</p>
      <p><bold>Hilsenhoff</bold><bold>Family Biotic Index (FBI)</bold></p>
      <p>The Hilsenhoff Family Biotic Index (FBI) used in this study incorporates all taxa present in the benthic macroinvertebrates community to demonstrate the level of degradation experienced by the ecosystem under study [<xref ref-type="bibr" rid="B13">13</xref>]. Thus, the FBI values obtained for the waters of the Mfilou River during this study highlighted the existence of three distinct hydrological qualities, including (i) very poor water quality, indicating severe organic pollution in the Egout laiterie and Zone Maraîchère stations; (ii) The water quality at the Diata station is rather poor, indicating substantial organic pollution, and (iii) the water quality at the Ma Campagne and Confluence stations is poor, illustrating very substantial organic pollution. The waters of the Mfilou River are therefore polluted from upstream to downstream, albeit to varying degrees. </p>
      <p>The level of pollution in the Zone maraîchère station clearly illustrates the pressure exerted by human activities and the silting or over-silting due to runoff water on the Mfilou River, which would explain the proliferation of Chironomidae in this station. This situation reveals the nature of the pollution present: sediment-related pollution and organic pollution. The latter was evidenced by the presence of taxa that are highly tolerant to pollution, such as Diptera, Annelida, and Gastropod Molluscs. Thus, [<xref ref-type="bibr" rid="B43">43</xref>] state that the biodiversity of aquatic insect communities in a given ecosystem often reflects its ecological state; sensitive species colonizing these habitats due to unfavorable environmental conditions are gradually eliminated, while tolerant species establish colonies and thrive. Our results are consistent with observations made by [<xref ref-type="bibr" rid="B32">32</xref>] in the Oued El Abiod (Eastern Algeria) and [<xref ref-type="bibr" rid="B44">44</xref>] in the Kahuwa River (in Democratique Republic of Congo), which are of poor quality, evidence of severe pollution in downstream stations where human activity is significant. The same is true for the studies by [<xref ref-type="bibr" rid="B45">45</xref>], who observed significant pollution at the station crossed by the pipelines, and for those by [<xref ref-type="bibr" rid="B37">37</xref>], who found substantial, very substantial, and severe organic pollution at water stations in the Upper Bandama Fauna and Flora Reserve (RFFHB), located in the central part of northern Côte d’Ivoire, where hunting, non-timber forest product harvesting, fishing, mining, livestock farming, and agriculture were recorded.</p>
      <p>The biological assessment of water pollution in the Mfilou River using the IBGN and FBI revealed varied trends. The observed discrepancies could be explained by the difference in quality class levels and categorization systems: 5 levels for the IBGN classes versus 7 for the FBI classes [<xref ref-type="bibr" rid="B32">32</xref>]. However, both indices highlight a worrying situation for the waters of the Mfilou River and establish that they are unfit for human consumption. </p>
    </sec>
    <sec id="sec5">
      <title>5. Conclusions</title>
      <p>This publication aims to highlight the different levels of alteration in the integrity of the Mfilou River using a biological approach, specifically benthic macroinvertebrates.</p>
      <p>Despite threats of all kinds (siltation of the main channel, market gardening, wastewater discharge, etc.), the waters of the Mfilou River maintain a high level of benthic macroinvertebrate diversity: 129 taxa were identified, unevenly distributed among 62 families belonging to 16 orders, 6 classes, and 4 phyla, out of a total of 17,325 collected individuals. <italic>Melanoides</italic><italic>tubercula</italic>and <italic>Chironomus</italic> sp. were the two dominant taxa in the studied benthic communities. </p>
      <p>The biological assessment of pollution in the Mfilou River, based on the collected benthic macroinvertebrates, revealed pollution related to sediments (sand-silt) at the Zone maraîchère station and organic pollution from upstream to downstream of the studied river. The scores obtained from the Normalized Global Biological Index (IBGN) highlighted two levels of organic pollution: i) significant organic pollution at the Zone maraîchère, Diata, Mâ Campagne, and Confluence stations, and ii) severe organic pollution at the Egout laiterie station. Molluscs and Baetidae (Mayflies, Insects) are the indicator faunal groups for this river. The Hilsenhoff index (Biological Family Index or FBI) revealed three degrees of organic pollution: i) severe organic pollution at the Egout laiterie and Zone maraîchère stations; ii) substantial organic pollution at the Diata station; and (iii) very substantial organic pollution at the Ma Campagne and Confluence stations. The waters of the Mfilou River are all polluted and therefore unfit for direct or indirect human consumption. </p>
    </sec>
  </body>
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