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 <!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.0 20120330//EN" "http://jats.nlm.nih.gov/publishing/1.0/JATS-journalpublishing1.dtd"> <article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="1.0" xml:lang="en">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JZR</journal-id>
      <journal-title-group>
        <journal-title>Journal of Zoological Research</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2694-2275</issn>
      <publisher>
        <publisher-name>Open Access Pub</publisher-name>
        <publisher-loc>United States</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">JZR-23-4483</article-id>
      <article-id pub-id-type="doi">10.14302/issn.2694-2275.jzr-23-4483</article-id>
      <article-categories>
        <subj-group>
          <subject>research-article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Distribution and Conservation Challenges of Diurnal Large Mammals in Bayo Community Managed Forest, Salamago Woreda, South Omo Zone, Southern      Ethiopia </article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Haile</surname>
            <given-names>Tamirat</given-names>
          </name>
          <xref ref-type="aff" rid="idm1839859828">1</xref>
          <xref ref-type="corresp" rid="cor1">*</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Serekebirhan</surname>
            <given-names>Takele</given-names>
          </name>
          <xref ref-type="aff" rid="idm1839858316">2</xref>
        </contrib>
      </contrib-group>
      <aff id="idm1839859828">
        <label>1</label>
        <addr-line>Ethiopian Wildlife Conservation Authority, Nech Sar National Park, Arba Minch, Ethiopia</addr-line>
      </aff>
      <aff id="idm1839858316">
        <label>2</label>
        <addr-line>Department of Biology, College of Natural and Computational Sciences, Arba Minch University, Ethiopia</addr-line>
      </aff>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Andrei</surname>
            <given-names>Alimov</given-names>
          </name>
          <xref ref-type="aff" rid="idm1839975380">1</xref>
        </contrib>
      </contrib-group>
      <aff id="idm1839975380">
        <label>1</label>
        <addr-line>Leading researcher (preclinical studies), Docent (academic teaching) Research Center of Medical Genetics, Moscow, Russia </addr-line>
      </aff>
      <author-notes>
        <corresp id="cor1">Correspondence: Tamirat Haile, Ethiopian Wildlife Conservation Authority, Nech Sar National Park, Arba Minch, Ethiopia. Email: <email>chankallo33.h@gmail.com</email>.</corresp>
        <fn fn-type="conflict" id="idm1841477572">
          <p>The authors have declared that no competing interests exist.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub" iso-8601-date="2023-06-30">
        <day>30</day>
        <month>06</month>
        <year>2023</year>
      </pub-date>
      <volume>1</volume>
      <issue>2</issue>
      <fpage>14</fpage>
      <lpage>36</lpage>
      <history>
        <date date-type="received">
          <day>15</day>
          <month>02</month>
          <year>2023</year>
        </date>
        <date date-type="accepted">
          <day>22</day>
          <month>05</month>
          <year>2023</year>
        </date>
        <date date-type="online">
          <day>30</day>
          <month>06</month>
          <year>2023</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>©</copyright-statement>
        <copyright-year>2023</copyright-year>
        <copyright-holder>Tamirat Haile, et al.</copyright-holder>
        <license xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
          <license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
        </license>
      </permissions>
      <self-uri xlink:href="http://openaccesspub.org/jzr/article/1976">This article is available from http://openaccesspub.org/jzr/article/1976</self-uri>
      <abstract>
        <p>An ecological study on diurnal mammals was carried out in Bayo Community Managed Forest located in Salamago Woreda, South Omo Zone. The objective of the study was to investigate the distribution and conservation challenges of diurnal large mammals in the study area. Based on the habitat type and topography of the study area, total of 11 transect, i.e 7 in forestland, and 4 in Wooded Grassland were laid to collect the data. Besides direct methods, indirect methods such as faecal droppings, fresh tracks, carcass or shell count, den (burrow), hair, and digging were used. Questionnaire and focus group discussions were also used to assess anthropogenic threats in the study area. Data were analyzed using descriptive statistics, SPSS and QGIS software. A total of 20 species of diurnal large mammals belonging to six orders and eight families were identified. The species identified were <italic>Cercopithecus pygerythrus, Cercopithecus aethiops, Papio anubis, Erytherocebus patas, Cercopitheus neglectus, Colobus guereza, Equus quagga, Traglaphus strepsiceros, Traglaphus imberbis, Traglaphus scriptus, Medagua guentheri, Sylvicapra grimma, Kobus ellipsiprymnus defessa, Syncerrus caffer, Potamochoerus larvatus, Phacochoerus africanus, Hylochoerus meinertzhageni, Hystrix cristata, Orycteropus afer, and Phataginus temminckii smutus</italic>. Seasonal variation in the between habitat types (χ2 = 4.849, df= 1, p&lt;0.05). Totally, 685 and 600 mammals were counted during wet and dry seasons, respectively. On habitat basis, 683 and 602 animals were recorded in forestland and wooded grassland habitats, respectively. Major threats in the study area include poaching, fire, grazing, fuelwood extraction, population growth, habitat modification, overharvesting of resources and invasive species. About 98.44% of respondents had a positive attitude towards Bayo Community Managed Forest. The interference of local community has had the impact on mammal’s species. Habitat based mammals’ management involving participation of Woreda and Zonal Government is recommended for sustainable. The local government should promote the study area and provide appropriate support for its conservation.</p>
      </abstract>
      <kwd-group>
        <kwd>Attitude</kwd>
        <kwd>Bayo Community Managed Forest</kwd>
        <kwd>Conservation challenges</kwd>
        <kwd>Distribution</kwd>
        <kwd>Diurnal Mammals</kwd>
        <kwd>Threats</kwd>
      </kwd-group>
      <counts>
        <fig-count count="10"/>
        <table-count count="10"/>
        <page-count count="23"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec id="idm1839722100" sec-type="intro">
      <title>Introduction</title>
      <p>Tropical Africa has greater mammalian diversity than any other area of the world <xref ref-type="bibr" rid="ridm1841262572">1</xref>. This region supports most of the mammalian fauna <xref ref-type="bibr" rid="ridm1841265092">2</xref><xref ref-type="bibr" rid="ridm1841271652">3</xref>. Fifteen per cent of large mammalian species distribution and abundance are found in most forest and savannah regions in Africa and it is of the utmost importance to protect them for the role they play in the ecosystem <xref ref-type="bibr" rid="ridm1841339852">4</xref>.</p>
      <p>Ethiopia is one of the countries found in the eastern horn of Africa<xref ref-type="bibr" rid="ridm1841129796">5</xref>. which is endowed with spectacular landscape and topography from which diverse habitats and associated flora and fauna are found <xref ref-type="bibr" rid="ridm1841127996">6</xref><xref ref-type="bibr" rid="ridm1841123100">7</xref>. Unique resources of wildlife, scenic beauties and diverse culture immersed in a long history have been visited since long ago <xref ref-type="bibr" rid="ridm1841123100">7</xref>. Geographically, stratified into several ecological units, the associated diversity in climate and the varieties of ecosystems have rendered the country has a diverse, rare, unique and endemic species of wildlife <xref ref-type="bibr" rid="ridm1841115204">8</xref>. In the near past, these wild animals (mammals, birds, amphibians, reptiles and fish) were abundant in a bewildering variety, but currently in a declining state due to anthropogenic pressures <xref ref-type="bibr" rid="ridm1841127996">6</xref><xref ref-type="bibr" rid="ridm1841123100">7</xref><xref ref-type="bibr" rid="ridm1841112468">9</xref>. The country is also rich in its faunal diversity <xref ref-type="bibr" rid="ridm1841099012">10</xref>. The Ethiopian mammal fauna consists of 326 species, under 144 genera, 43 families and 14 orders <xref ref-type="bibr" rid="ridm1841099012">10</xref><xref ref-type="bibr" rid="ridm1841097572">11</xref>. The number of mammals in Ethiopia is much higher than in other African countries <xref ref-type="bibr" rid="ridm1841102972">12</xref>.</p>
      <p>Mammals are mainly concentrated in the southern parts and southwest border and adjacent areas of the country <xref ref-type="bibr" rid="ridm1841102972">12</xref>. The mountain massifs in the north and centre parts are also home to many endemic species of mammals, particularly the Ethiopia wolf (<italic>Canis simensis</italic>), Gelada baboon (<italic>Theropithecus gelada</italic>), Menelik’s bushbuck (<italic>Tragelaphus scripus Meneliki</italic>), Mountain Nyala (<italic>Tragelaphus buxtoni</italic>), Starch’s hare (<italic>Lepus Starcki</italic>)   ,Swayne’s,   hartebeest   (<italic>Alcelaphus   buselaphus),</italic>   Bale   monkey   (<italic>Chlorocebus   djamdjamensis</italic>) and Waliai Ibex (<italic>Capra walie</italic>) <xref ref-type="bibr" rid="ridm1841097572">11</xref><xref ref-type="bibr" rid="ridm1841102972">12</xref><xref ref-type="bibr" rid="ridm1841074500">13</xref>. Evan et al., 2020). The Ethiopian wild fauna are comprised of 326 mammals, 918 birds, 240 reptiles, 200 fish, 71 amphibians and 1,225 arthropods (324 butterflies) (EWCA, 2020). Of these; 177 (57 small to large mammals, 19 birds, 25 reptiles, 30 amphibians, 41 fresh-water fishes, and 7 arthropod species) are endemic species, which results in the countries’ status as a global biodiversity hotspot <xref ref-type="bibr" rid="ridm1841123100">7</xref><xref ref-type="bibr" rid="ridm1841099012">10</xref><xref ref-type="bibr" rid="ridm1841097572">11</xref>.</p>
      <p>The main challenges of mammals in the protected areas of the country include overgrazing and encroachment from pastoral people, shifting cultivation and permanent agriculture, human settlements, increased demand and extraction of fuelwood, wood logging, construction materials, uncontrolled fires, illegal poaching and hunting, charcoal burning, illegal fishing and extraction of other natural resources <xref ref-type="bibr" rid="ridm1841123100">7</xref><xref ref-type="bibr" rid="ridm1841069820">14</xref><xref ref-type="bibr" rid="ridm1841068596">15</xref> The invasive plant species and native plant species encroachment are also new agenda threat to extinction of mammalian specie and their habitat <xref ref-type="bibr" rid="ridm1841081412">16</xref> . The loss of forests and protected areas are underpinned by population growth, unsustainable natural resource management, poor enforcement of existing legislation, uncertain land tenure, the impact of climate change and very low public awareness of the importance of biodiversity <xref ref-type="bibr" rid="ridm1841078388">17</xref><xref ref-type="bibr" rid="ridm1841053300">18</xref>. The objectives of the study are therefore as follows; develop distribution map of diurnal large mammals and identify major threats to diurnal large mammals in the study area. Therefore, the present study would have highly valuable to provide the baseline information about the current status and effective conservation approaches.</p>
      <sec id="idm1839719508">
        <title>Description of the Study Area</title>
        <p>Salamago Woreda is found in South Omo Zone, southern Ethiopia. It is located between 5<sup>0</sup>21' -6<sup>0</sup>27'N and 36<sup>0</sup>21'-37<sup>0</sup>57'E. The elevation is ranging between 383m and 2543m asl. It is about 800 and 530 km southwest of Addis Ababa and Hawassa, respectively, and 374kms far from Arba Minch and 123 km from Jinka (capital city of South Omo) (<xref ref-type="fig" rid="idm1841427396">Figure 1</xref>). The word "Salamago" named after the name of two streams-" Sala " and " Mago".Bayo community-managed natural forest is located in Salamago Woreda. Bayo or ''Kub Gasho'' named closed and no human interface forest in Dime ethnic group language (Biyo is the Amharic name of forest). It is located between 6<sup>0</sup>14'30''- 6<sup>0</sup>15'0''N and 36<sup>0</sup>13'30-36<sup>0</sup>19'30''E. The elevation is ranging between 900m and 2543masl. It is about 24 km from Salamago Woreda (Hana city). The forest area coverage is 109.81km<sup>2</sup> (10,981ha). Boundary designated and the forest was established in 2009. However, the boundary was redemarcated and being legalized by SNNPRS in 2019. It is the community managed forest which is bordered by three kebeles namely: Dime Woyde, Dime Erqa, and Dime Garfa kebele. The forest is currently supported by the REDD+ project.</p>
        <fig id="idm1841427396">
          <label>Figure 1.</label>
          <caption>
            <title> Map of the study area</title>
          </caption>
          <graphic xlink:href="images/image1.jpg" mime-subtype="jpg"/>
        </fig>
      </sec>
      <sec id="idm1839702276">
        <title>Climate</title>
        <p>The rainfall in the region is bi-modal. Main rainy season is from March to July and short rainy season is from August to September. The mean monthly maximum and minimum temperatures are 41.14<sup>0</sup>C and 20<sup>0</sup>C, respectively. <xref ref-type="fig" rid="idm1841400780">Figure 2</xref></p>
        <fig id="idm1841400780">
          <label>Figure 2.</label>
          <caption>
            <title> Average monthly rainfall and temperature of salamgo</title>
          </caption>
          <graphic xlink:href="images/image2.jpg" mime-subtype="jpg"/>
        </fig>
      </sec>
      <sec id="idm1839700836">
        <title>Landscape</title>
        <p>Bayo community forest surroundings have unique natural, features such as, mountain chains at Jemesho, Jemesho water, Jemsho river fall, Bezi water, and Hot spring water. Both Jemesho water and Hot spring water is endowed with scenic beauty to attract many international and local tourists. The local community belived the water has therapeutic use as well as spiritual Power. Jemesho Mountain is the biggest mountain in Salamago Woreda, which is found inside Bayo community forest. Jemesho Mountain is the water tower to Salamago Woreda, particularily to Muri, Bodi, Banchi, Konso and Dime community.</p>
      </sec>
      <sec id="idm1839699900">
        <title>Vegetation types and habitat classification</title>
        <p>The major vegetation types of the Bayo community-managed forest area are characterized by Moist Evergreen Montane Forest Ecosystem to <italic>Combretum-Terminalia</italic> woodland Ecosystem. The area coverage of each vegetation type is calculated using Landsat images are obtained from NASA and United States Geological Survey (USGS) Global Land Survey (GLS) program. <xref ref-type="table" rid="idm1841408484">Table 1</xref>, <xref ref-type="fig" rid="idm1841393684">Figure 3</xref></p>
        <table-wrap id="idm1841408484">
          <label>Table 1.</label>
          <caption>
            <title> Land covers type in the study area</title>
          </caption>
          <table rules="all" frame="box">
            <tbody>
              <tr>
                <td>Land cover type</td>
                <td>Area (km<sup>2</sup>)</td>
                <td>Perecentage</td>
              </tr>
              <tr>
                <td>Bayo Wooded Grassland</td>
                <td>34.58</td>
                <td>31.49</td>
              </tr>
              <tr>
                <td>Bayo forestland</td>
                <td>75.23</td>
                <td>68.51</td>
              </tr>
              <tr>
                <td>Total</td>
                <td>109.81</td>
                <td>100</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <fig id="idm1841393684">
          <label>Figure 3.</label>
          <caption>
            <title> Land cover of Bayo community managed forest in February, 2021.</title>
          </caption>
          <graphic xlink:href="images/image3.jpg" mime-subtype="jpg"/>
        </fig>
        <p>The most dominant ground cover herbs in the forestland are Ethiopian cardamom, Ginger, some Acanthaceae family Justicia herbs and climber species. Some trees, shrub and herbs species in the forestland are : <italic>Flacourtia indica, Podocarpus falcatus, Asparagus africanus, </italic>Vernonia species<italic>, Olea africana, Croton macrostachyus, Syzygium guineense, Euphorbia ampliphyla, Maesa lanceolata, Ficus thonningii, Ficus elastica, Ficus vasta, Carissa edulis, Hagenia abyssinica, Embelia schimperi, Dombeya torrida, </italic>Terminalia schimperi<italic>, Coffee arabica, Erythrina burana, Celtis </italic>Africana.</p>
        <fig id="idm1841392532">
          <label>Figure 4.</label>
          <caption>
            <title> The Forestland at Bayo community managed forest, Southern Ethiopia (Photo: Tamirat Haile, 2021). </title>
          </caption>
          <graphic xlink:href="images/image4.jpg" mime-subtype="jpg"/>
        </fig>
        <p>The plant species in the wooded grassland are <italic>Cordia africana, Croton macrostachyus, Terminalia schimperi, Ximenia americana, Ficus spp, Ficus thonningii, Acacia spp., Cordia spp, Dobera glabra, Ximenia Americana, Combretum aculeatum, Salvarora persica, Combretum molle, Combretum aculeatum, Dichrostachys cinerea, Commiphora abyssinica, Terminalia browni, Terminalia mantaly, Sclerocarya birrea, Ziziphus mucronata, Vernonia spp., Syzigum guineese, Acacia abyssinica.</italic><xref ref-type="fig" rid="idm1841392532">Figure 4</xref>, <xref ref-type="fig" rid="idm1841390012">Figure 5</xref></p>
        <fig id="idm1841390012">
          <label>Figure 5.</label>
          <caption>
            <title> The Wooded grassland at Bayo community managed forest, Southern Ethiopia (photo: Tamirat Haile, 2021).</title>
          </caption>
          <graphic xlink:href="images/image5.jpg" mime-subtype="jpg"/>
        </fig>
      </sec>
    </sec>
    <sec id="idm1839691324" sec-type="materials">
      <title>Materials and Methods</title>
      <sec id="idm1839692404">
        <title>Materials</title>
        <p>Material used for this study include: Binocular, Telescope, Digital camera, Field data sheet, Global positioning system, satelite map, compass, Kingdon Field guide of mammals, Data Sheet, Notebook, and Questionnaire.</p>
      </sec>
      <sec id="idm1839691612">
        <title>Research approach</title>
        <p>Based on habitat type and topography, the study area stratified into two-forestland and wooded grassland. Then transect were laid in each habitat type. On these transects direct survey methods were used to collect data on distribution of diurnal mammals in the study area. Besides, indirect survey methods such as fecal droppings, fresh tracks, Carcass or shell count, Den (burrow), hair, and digging were used. Questionnaire and focus group discussions were used to investigate anthropogenic threats in the study area.</p>
      </sec>
      <sec id="idm1839690676">
        <title>Research Sampling Techniques</title>
        <sec id="idm1839692620">
          <title>Sampling Techniques for mammal’s survey</title>
          <p>Line transect sampling method was used to study distribution of diurnal large mammals in the forest following</p>
          <p><xref ref-type="bibr" rid="ridm1841053804">19</xref><xref ref-type="bibr" rid="ridm1841052076">20</xref><xref ref-type="bibr" rid="ridm1841047252">21</xref>. Starting and end points of each transect line was delineated by GPS and permanent natural signs. The total area coverage of the Bayo community managed forest is 109.81km<sup>2</sup>, of which 42.34% (46.5km<sup>2</sup>) of the study area was sampled. With respective to habitat types 31.86km<sup>2</sup> and 14.64km<sup>2</sup> forestland and wooded grassland, respectively. The number potential transects were 64 in both habitat types considering the steep flates and clip area. Depending on the sampled area, a total of 11 actual transect lines were randomly established, 7 in forestland, and 4 in the wooded grassland. The length of transect line was varied from 3.5 to 5km depending on the habitat and topography. For selected and surveyed transect lines, the total length was 46.5km; of which 29.5km was in forestland and 17km was in wooded grassland. The gap between consecutive transects was maintained at 0.5km to avoid any double counting of animals in the study area. To avoid edge eﬀects, steep flates and clip area, transects were spaced 0.2km from the edge of the each habitat types, steep flates and clip. <xref ref-type="table" rid="idm1841383748">Table 2</xref>, <xref ref-type="fig" rid="idm1841309108">Figure 6</xref></p>
          <table-wrap id="idm1841383748">
            <label>Table 2.</label>
            <caption>
              <title> Sampled line transects in the study area</title>
            </caption>
            <table rules="all" frame="box">
              <tbody>
                <tr>
                  <th>
                    <bold>Number</bold>
                  </th>
                  <td>
                    <bold>Length (km)</bold>
                  </td>
                  <td>
                    <bold>Habitat</bold>
                  </td>
                  <td>
                    <bold>Area (Length and width)</bold>
                  </td>
                </tr>
                <tr>
                  <td>
                    <bold>Transect1</bold>
                  </td>
                  <td>5km</td>
                  <td>Forestland</td>
                  <td>5km*1km = 5 km<sup>2</sup></td>
                </tr>
                <tr>
                  <td>
                    <bold>Transect2</bold>
                  </td>
                  <td>4.5km</td>
                  <td>Forestland</td>
                  <td>4.5km*1km = 4.5km<sup>2</sup></td>
                </tr>
                <tr>
                  <td>
                    <bold>Transect3</bold>
                  </td>
                  <td>4km</td>
                  <td>Forestland</td>
                  <td>4km*1km = 4km<sup>2</sup></td>
                </tr>
                <tr>
                  <td>
                    <bold>Transect4</bold>
                  </td>
                  <td>4km</td>
                  <td>Forestland</td>
                  <td>4km*1km = 4km<sup>2</sup></td>
                </tr>
                <tr>
                  <td>
                    <bold>Transect5</bold>
                  </td>
                  <td>4km</td>
                  <td>Forestland</td>
                  <td>4km*1 km = 4km<sup>2</sup></td>
                </tr>
                <tr>
                  <td>
                    <bold>Transect6</bold>
                  </td>
                  <td>3.5km</td>
                  <td>Forestland</td>
                  <td>3.5km*1 km = 3.5 km<sup>2</sup></td>
                </tr>
                <tr>
                  <td>
                    <bold>Transect7</bold>
                  </td>
                  <td>4.5km</td>
                  <td>Forestland</td>
                  <td>4.5km*1 km = 4.5 km<sup>2</sup></td>
                </tr>
                <tr>
                  <td>
                    <bold>Transect8</bold>
                  </td>
                  <td>5km</td>
                  <td>wooded grassland</td>
                  <td>5km*1km = 5km<sup>2</sup></td>
                </tr>
                <tr>
                  <td>
                    <bold>Transect9</bold>
                  </td>
                  <td>5km</td>
                  <td>wooded grassland</td>
                  <td>5km*1km = 5 km<sup>2</sup></td>
                </tr>
                <tr>
                  <td>
                    <bold>Transect10</bold>
                  </td>
                  <td>3.5km</td>
                  <td>wooded grassland</td>
                  <td>3.5km*1km = 3.5 km<sup>2</sup></td>
                </tr>
                <tr>
                  <td>
                    <bold>Transect11</bold>
                  </td>
                  <td>3.5km</td>
                  <td>wooded grassland</td>
                  <td>3.5km*1km = 3.5 km<sup>2</sup></td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          <fig id="idm1841309108">
            <label>Figure 6.</label>
            <caption>
              <title>The number of potential and sampled transects in the study area</title>
            </caption>
            <graphic xlink:href="images/image6.jpg" mime-subtype="jpg"/>
          </fig>
        </sec>
      </sec>
      <sec id="idm1839628348">
        <title>Questionnaire survey and focus group discussion for conservation challenges</title>
        <p>Salamago Woreda consists of 22 kebeles.Thus, based on proximity to the forest, three kebeles namely: Dime Woyde, Dime Erqa and Dime Garfa kebeles were selected purposively. The number of households in each kebele was, 283, 194, and 168 for Dime Woyde, Dime Erqa and Dime Garfa, respectively. Following <xref ref-type="bibr" rid="ridm1841045236">22</xref>, 10% of the total population (n=64) was used as sample population. Accordingly, the sample size distribution in each kebele was 28, 19 and 17 for Dime Woyde, Dime Erqa, and Dime Garfa, respectively. Sampling frame in order to identify householdes in each kebele was calculated using systematic random sampling technique.</p>
        <fig id="idm1841309252">
          <graphic xlink:href="images/image7.png" mime-subtype="png"/>
        </fig>
        <p>where, K is the sampling frame (size of selection interval), N is the total number of households (HH) in the kebele and n is the sample size allocated in the kebele. Moreover, focus group discussions were conducted with kebele leaders (n= 12), local elders (3), agriculture development Agent experts (3), and 1 expert from REDD+ Project. Hence, the sample sizes for the study become 83.</p>
      </sec>
      <sec id="idm1839626476">
        <title>Data Collection</title>
        <sec id="idm1839626404">
          <title>Field Mammals Survey</title>
          <p>Data were collected from Feburary to December 2021. Both wet and dry season months were included in the study. Thus, seasonal data were collected during May – July 2021 and October – December 2021 for wet and dry seasons, respectively. Transects were visited twice a month during the study period. Transects were traversed on foot with average speed of 2 - 2.5km/hr and the starting and ending points of each transect was marked using Garmin 64 GPS <xref ref-type="bibr" rid="ridm1841059204">23</xref>.To enhance sampling effort, in a single visit, each transect was walked twice morning hours 06:00–10:00 AM and afternoon from at 02:00–06:00 PM while many mammals are become active for feeding and maximum animal observation was possible <xref ref-type="bibr" rid="ridm1841059204">23</xref><xref ref-type="bibr" rid="ridm1841032444">24</xref>. During direct observation both naked eye, telescope and binocular (10*42mm Resolution) were used to observe animals following the transect route. During transect visit, the researcher and three trained local field assistants were traversed the track lines. Each two were assigned to the left and right side of the transect line and scanned the route following <xref ref-type="bibr" rid="ridm1841030212">25</xref>. <xref ref-type="bibr" rid="ridm1841262572">1</xref>field guide of mammals were used for species identification. In order to determine the spatio-temporal distribution of mammals the ground truth points collected via GPS were transferred to computer database. All mammals encountered along line transects were recorded on data sheet prepared for this purpose <xref ref-type="bibr" rid="ridm1841027764">26</xref>. At each observation event, species name, number of individuals and sighting distance were recorded on the data sheet.</p>
          <p>Furthermore, indirect evidences of animals presence such as tracks/imprints, fecal/scat and den/burrow found along the transect line were also recorded <xref ref-type="bibr" rid="ridm1841023732">27</xref><xref ref-type="bibr" rid="ridm1841037052">28</xref>. The local community of the study area were consulted for vernacular or local name of animals, call and sign identifications of the mammalian species.</p>
        </sec>
        <sec id="idm1839627628">
          <title>Conservation challenges survey</title>
          <p>In order to collect information about the anthropogenic threats to the forest in the study area, questionnaires and focus group discussions were used.</p>
        </sec>
        <sec id="idm1839627556">
          <title>Household Survey</title>
          <p>First, the questionnaires were prepared in English but later    translated into local language that widely spoken in the area (Dime Ethnic group language) so as to obtain the required information without language barrier. The structured questionnaires contain both open and close ended questions to get information about anthropogenic activities in the study area. Questionnaire covered demographic information, such as age, sex, education level, village name, about forest, illegal Fire, livestock grazing invasive or climate changes, and attitudes of the community towards wildlife modified from <xref ref-type="bibr" rid="ridm1841000540">29</xref>.</p>
        </sec>
        <sec id="idm1839627484">
          <title>Focus Group Discussion</title>
          <p>Focus group discussions were conducted from three kebele so as to complement the information gathered through questionnaires. Focus group discussions (n=19) were conducted from three kebele, Dime Woyde, Dime Erqa, and Dime Gerfa community. To collect information about the forest in relation to its faunal composition. The nearby to forest community leaders focus group discussion with each kebele administrators was conducted. From different age group i.e. Kebele Leaders, Local Elders, community ,members and community rangers based focus group discussion with each kebele people were carried outed. Information obtained from group discussion were summarized used text analysis methods, and report as narrative form of note.</p>
        </sec>
        <sec id="idm1839626692">
          <title>Data Analysis</title>
          <p>The identified species were taxonomically grouped into their respective order, family, scientific species, common name was analyised by Microsoft EXCEL program. species richness computation, the minimum number of species identified were considered. Species richness was analyised by Microsoft EXCEL programs. The spatio-temporal distribution map was analyzed by QGIS software 3.4 version. Moreover, figures, tables, and charts were used to present the results of the study. The questionnaire survey data was analyzed and compared by computer program SPSS version 20.0, whereas FGD data were analyzed summarized used text analysis methods and report as narrative form of note.</p>
        </sec>
      </sec>
    </sec>
    <sec id="idm1839625828" sec-type="results">
      <title>Results</title>
      <p>During the present investigation, a total of 20 diurnal large mammalian species were identified and recorded in the Bayo community managed forest in both the dry and wet seasons. In the survey, all of these species were recorded within the randomly selected sampling habitats of the two major habitat types.</p>
      <p> Species composition was assessed based on season and habitat types. Accordingly, 19 and 20 species were recorded during wet and dry seasons, respectively. Hence, seasonal variation in the number of species of mammals was not statistically signiﬁcant (χ2 = 0.024, df= 1, p&gt;0.05) (<xref ref-type="table" rid="idm1841046900">Table 4</xref>). On a habitat basis, more number species (n= 17, wet season; n=18, dry season) was recorded in wooded grassland habitat than forestland (n= 10, wet season; n=14, dry season). DE Brazza’s monkey and Giant forest Hog were recorded only from forestland whereas Patas monkey (<italic>Erytherocebus patas</italic>), Lesser kudu (<italic>Traglaphus imberbis</italic>), Guenther's Dik-dik <italic>(Medagua guentheri</italic>), Defassa waterbuck (<italic>Kobus ellipsiprymnus defessa</italic>), Aardvark (<italic>Orycteropus afer</italic>) and Ground pangolin (<italic>Phataginus temminckii smutus</italic>) were recorded only in wooded grassland habitat <xref ref-type="table" rid="idm1841301260">Table 3</xref> (<xref ref-type="table" rid="idm1841046900">Table 4</xref> and <xref ref-type="fig" rid="idm1841301044">Figure 7</xref>, <xref ref-type="fig" rid="idm1840730292">Figure 8</xref> ).</p>
      <fig id="idm1841301044">
        <label>Figure 7.</label>
        <caption>
          <title> Mean number of species richness and frequency of records computed by rarefaction curve two seasons.</title>
        </caption>
        <graphic xlink:href="images/image8.jpg" mime-subtype="jpg"/>
      </fig>
      <table-wrap id="idm1841301260">
        <label>Table 3.</label>
        <caption>
          <title> List of mammals recorded in Bayo community managed forest</title>
        </caption>
        <table rules="all" frame="box">
          <tbody>
            <tr>
              <td>Scientific Name</td>
              <td>Common Name</td>
              <td>Local name</td>
              <td>IUCNCategory</td>
              <td>CITES</td>
              <td>BCMFstatus</td>
              <td>Identification Methods</td>
            </tr>
            <tr>
              <td>order Primates</td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
            </tr>
            <tr>
              <td>Family Cercopithecidae</td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
            </tr>
            <tr>
              <td>
                <italic>Cercopithecus</italic>
                <italic>pygerythrus</italic>
              </td>
              <td>Vervet Monkey</td>
              <td>Angum Kar</td>
              <td>Least Concern</td>
              <td>Appendix II</td>
              <td>Common</td>
              <td>Direct</td>
            </tr>
            <tr>
              <td>
                <italic>Cercopithecus</italic>
                <italic>aethiops</italic>
              </td>
              <td>Grivet monkey</td>
              <td>Ftu Kar</td>
              <td>Least Concern</td>
              <td>Appendix II</td>
              <td>Common</td>
              <td>Direct</td>
            </tr>
            <tr>
              <td>
                <italic>Papio Anubis</italic>
              </td>
              <td>Anubis Baboon</td>
              <td>Gydu</td>
              <td>Least Concern</td>
              <td>Appendix II</td>
              <td>Common</td>
              <td>Direct</td>
            </tr>
            <tr>
              <td>
                <italic>Erytherocebus</italic>
                <italic>patas</italic>
              </td>
              <td>Patas monkey</td>
              <td>Alqum</td>
              <td>Least Concern</td>
              <td>Appendix II</td>
              <td>Uncommon</td>
              <td>Direct</td>
            </tr>
            <tr>
              <td>
                <italic>Cercopitheus</italic>
                <italic>neglectus</italic>
              </td>
              <td>DE-Brazza’s monkey</td>
              <td>Sudn</td>
              <td>Least Concern</td>
              <td>Appendix II</td>
              <td>Common</td>
              <td>Direct</td>
            </tr>
            <tr>
              <td>Family colobidae</td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
            </tr>
            <tr>
              <td>
                <italic>Colobus</italic>
                <italic>guereza</italic>
              </td>
              <td>Colobus monkey</td>
              <td>Guru</td>
              <td>Near- Threatened</td>
              <td>Appendix II</td>
              <td>Common</td>
              <td>Direct</td>
            </tr>
            <tr>
              <td>Order Perissodactyla</td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
            </tr>
            <tr>
              <td>Family Equidae</td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
            </tr>
            <tr>
              <td>
                <italic>Equus quagga</italic>
              </td>
              <td>Burchell’s zebra</td>
              <td>Kubo yre</td>
              <td>Near- Threatened</td>
              <td>Appendix II</td>
              <td>Common</td>
              <td>Direct</td>
            </tr>
            <tr>
              <td>Odrder Artiodactyla</td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
            </tr>
            <tr>
              <td>Family Bovidae</td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
            </tr>
            <tr>
              <td>
                <italic>Traglaphus</italic>
                <italic>strepsiceros</italic>
              </td>
              <td>Greater kudu</td>
              <td>Wugre</td>
              <td>Near- Threatened</td>
              <td>Appendix II</td>
              <td>Common</td>
              <td>Direct</td>
            </tr>
            <tr>
              <td>
                <italic>Traglaphus</italic>
                <italic>imberbis</italic>
              </td>
              <td>Lesser kudu</td>
              <td>Marchne</td>
              <td>Near Threatened</td>
              <td>Appendix II</td>
              <td>Uncommon</td>
              <td>Direct</td>
            </tr>
            <tr>
              <td>
                <italic>Traglaphus</italic>
                <italic>Scriptus</italic>
              </td>
              <td>Bushbuck</td>
              <td>Unibo</td>
              <td>Least Concern</td>
              <td>Appendix II</td>
              <td>Uncommon</td>
              <td>Direct</td>
            </tr>
            <tr>
              <td>
                <italic>Medagua</italic>
                <italic>guentheri</italic>
              </td>
              <td>Guenther's Dik- dik</td>
              <td>Shuno</td>
              <td>Least Concern</td>
              <td>Appendix II</td>
              <td>Uncommon</td>
              <td>Direct</td>
            </tr>
            <tr>
              <td>
                <italic>Sylvicapra</italic>
                <italic>grimma</italic>
              </td>
              <td>Bush Duiker</td>
              <td>Kolfi</td>
              <td>Least Concern</td>
              <td>Appendix II</td>
              <td>Uncommon</td>
              <td>Direct</td>
            </tr>
            <tr>
              <td>
                <italic>Kobus</italic>
                <italic>ellipsiprymnus</italic>
                <italic>defessa</italic>
              </td>
              <td>Defassa waterbuck</td>
              <td>Kuku</td>
              <td>Near-Threatened</td>
              <td>Appendix II</td>
              <td>Uncommon</td>
              <td>Direct</td>
            </tr>
            <tr>
              <td>
                <italic>Syncerrus</italic>
                <italic>caffer</italic>
              </td>
              <td>Black Buffalo</td>
              <td>Miku</td>
              <td>Least Concern</td>
              <td>Appendix II</td>
              <td>Uncommon</td>
              <td>Direct</td>
            </tr>
            <tr>
              <td>
                <italic>Family Suidae</italic>
              </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
            </tr>
            <tr>
              <td>
                <italic>Potamochoerus</italic>
                <italic>larvatus</italic>
              </td>
              <td>Bushpig</td>
              <td>Gudm</td>
              <td>Least Concern</td>
              <td>Appendix II</td>
              <td>Common</td>
              <td>Indirect (tracks,dropping and feedingtracks, carcass</td>
            </tr>
            <tr>
              <td>
                <italic>Phacochoerus</italic>
                <italic>africanus</italic>
              </td>
              <td>Common Warthog</td>
              <td>Gashu</td>
              <td>Least Concern</td>
              <td>Appendix II</td>
              <td>Common</td>
              <td>Direct</td>
            </tr>
            <tr>
              <td>
                <italic>Hylochoerus</italic>
                <italic>meinertzhageni</italic>
              </td>
              <td>Giant Forest Hog</td>
              <td>Kalakandi</td>
              <td>Least Concern</td>
              <td>Appendix II</td>
              <td>Rare</td>
              <td>Direct and Indirect (tracks)</td>
            </tr>
            <tr>
              <td>
                <italic>Family Hystricidae</italic>
              </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
            </tr>
            <tr>
              <td>
                <italic>Hystrix</italic>
                <italic>Cristata</italic>
              </td>
              <td>Crested porcupine</td>
              <td>Grish</td>
              <td>Threatened</td>
              <td>Appendix II</td>
              <td>Rare</td>
              <td>Indirect (tracks, carcass</td>
            </tr>
            <tr>
              <td>
                <italic>Order Tubulidentata</italic>
              </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
            </tr>
            <tr>
              <td>
                <italic>Family Orycteropodidae</italic>
              </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
            </tr>
            <tr>
              <td/>
              <td/>
              <td/>
              <td/>
              <td/>
              <td/>
              <td/>
            </tr>
            <tr>
              <td>
                <italic>Orycteropus</italic>
                <italic>afer</italic>
              </td>
              <td>Aardvark</td>
              <td>Blikune</td>
              <td>Threatened</td>
              <td>Appendix II</td>
              <td>Rare</td>
              <td>Indirect (den or burrow),Holes</td>
            </tr>
            <tr>
              <td>
                <italic>Order Pholidota</italic>
              </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
            </tr>
            <tr>
              <td>
                <italic>Family Manidae</italic>
              </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
            </tr>
            <tr>
              <td>
                <italic>Phataginus</italic>
                <italic>temminckii</italic>
                <italic>smutus</italic>
              </td>
              <td>Ground pangolin</td>
              <td>Kukuneche</td>
              <td>Endangered</td>
              <td>Appendix II</td>
              <td>Rare</td>
              <td>Indirect (shell,tracks)</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <table-wrap id="idm1841046900">
        <label>Table 4.</label>
        <caption>
          <title> Seasonal species composition and abundance of mammals among different habitats in BCMF </title>
        </caption>
        <table rules="all" frame="box">
          <tbody>
            <tr>
              <th>
                <bold>Species</bold>
              </th>
              <td colspan="2">
                <bold>Forestland</bold>
              </td>
              <td colspan="2">
                <bold>Wooded grassland</bold>
              </td>
              <td colspan="2">
                <bold>Total</bold>
              </td>
            </tr>
            <tr>
              <th>
                <bold> </bold>
              </th>
              <td>
                <bold>Wet</bold>
              </td>
              <td>
                <bold>dry</bold>
              </td>
              <td>
                <bold>wet</bold>
              </td>
              <td>
                <bold>dry</bold>
              </td>
              <td>
                <bold>Wet</bold>
              </td>
              <td>
                <bold>Dry</bold>
              </td>
            </tr>
            <tr>
              <td>Vervet Monkey (<italic>Cercopithecus pygerythrus)</italic></td>
              <td>99</td>
              <td>82</td>
              <td>9</td>
              <td>11</td>
              <td>108</td>
              <td>93</td>
            </tr>
            <tr>
              <td>Grivet monkey (<italic>Cercopithecus aethiops)</italic></td>
              <td>-</td>
              <td>8</td>
              <td>13</td>
              <td>33</td>
              <td>13</td>
              <td>41</td>
            </tr>
            <tr>
              <td>Anubis Baboon (<italic>Papio anubis)</italic></td>
              <td>65</td>
              <td>68</td>
              <td>39</td>
              <td>53</td>
              <td>104</td>
              <td>121</td>
            </tr>
            <tr>
              <td>Patas monkey (<italic>Erytherocebus patas)</italic></td>
              <td>-</td>
              <td>-</td>
              <td>42</td>
              <td>47</td>
              <td>42</td>
              <td>47</td>
            </tr>
            <tr>
              <td>DE Brazza’s monkey (Cercopitheus neglectus)</td>
              <td>40</td>
              <td>26</td>
              <td>-</td>
              <td>-</td>
              <td>40</td>
              <td>26</td>
            </tr>
            <tr>
              <td>Colobus monkey (<italic>Colobus guereza)</italic></td>
              <td>131</td>
              <td>63</td>
              <td>18</td>
              <td>14</td>
              <td>149</td>
              <td>77</td>
            </tr>
            <tr>
              <td>Burchell’s zebra (<italic>Equus quagga)</italic></td>
              <td>-</td>
              <td>6</td>
              <td>42</td>
              <td>39</td>
              <td>42</td>
              <td>47</td>
            </tr>
            <tr>
              <td>Greater kudu (<italic>Traglaphus strepsiceros)</italic></td>
              <td>-</td>
              <td>5</td>
              <td>37</td>
              <td>11</td>
              <td>37</td>
              <td>16</td>
            </tr>
            <tr>
              <td>Lesser kudu (<italic>Traglaphus imberbis)</italic></td>
              <td>-</td>
              <td>-</td>
              <td>8</td>
              <td>13</td>
              <td>8</td>
              <td>13</td>
            </tr>
            <tr>
              <td>Bushbuck (<italic>Traglaphus scriptus)</italic></td>
              <td>16</td>
              <td>13</td>
              <td>4</td>
              <td>2</td>
              <td>20</td>
              <td>15</td>
            </tr>
            <tr>
              <td>Guenther's Dik- dik (<italic>Medagua guentheri)</italic></td>
              <td>-</td>
              <td>-</td>
              <td>4</td>
              <td>6</td>
              <td>4</td>
              <td>6</td>
            </tr>
            <tr>
              <td>Bush Duiker (<italic>Sylvicapra grimma)</italic></td>
              <td>14</td>
              <td>9</td>
              <td>4</td>
              <td>5</td>
              <td>18</td>
              <td>14</td>
            </tr>
            <tr>
              <td>Defassa waterbuck (Kobus ellipsiprymnusdefessa)</td>
              <td>-</td>
              <td>-</td>
              <td>-</td>
              <td>24</td>
              <td>-</td>
              <td>24</td>
            </tr>
            <tr>
              <td>Black Buffalo (<italic>Syncerrus caffer)</italic></td>
              <td>1</td>
              <td>1</td>
              <td>28</td>
              <td>14</td>
              <td>29</td>
              <td>15</td>
            </tr>
            <tr>
              <td>Bushpig (<italic>Potamochoerus larvatus)</italic></td>
              <td>8</td>
              <td>7</td>
              <td>9</td>
              <td>4</td>
              <td>17</td>
              <td>11</td>
            </tr>
            <tr>
              <td>Common Warthog (<italic>Phacochoerus africanus)</italic></td>
              <td>-</td>
              <td>10</td>
              <td>18</td>
              <td>10</td>
              <td>18</td>
              <td>20</td>
            </tr>
            <tr>
              <td>Giant forest Hog (<italic>Hylochoerus meinertzhageni)</italic></td>
              <td>4</td>
              <td>1</td>
              <td>-</td>
              <td>-</td>
              <td>4</td>
              <td>1</td>
            </tr>
            <tr>
              <td>Crested porcupine (<italic>Hystrix cristata)</italic></td>
              <td>3</td>
              <td>2</td>
              <td>16</td>
              <td>5</td>
              <td>19</td>
              <td>7</td>
            </tr>
            <tr>
              <td>Aardvark (<italic>Orycteropus afer)</italic></td>
              <td>-</td>
              <td>-</td>
              <td>12</td>
              <td>6</td>
              <td>12</td>
              <td>6</td>
            </tr>
            <tr>
              <td>Ground pangolin (<italic>Phataginus temminckismutus)</italic></td>
              <td>-</td>
              <td>-</td>
              <td>1</td>
              <td>1</td>
              <td>1</td>
              <td>1</td>
            </tr>
            <tr>
              <td>Total No. of individuals per habitat</td>
              <td>381±7</td>
              <td>302±5</td>
              <td>304±3</td>
              <td>298±3</td>
              <td>685±7</td>
              <td>600±6</td>
            </tr>
            <tr>
              <td>Total No. of species per habitat</td>
              <td>10</td>
              <td>14</td>
              <td>17</td>
              <td>18</td>
              <td>19</td>
              <td>20</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <sec id="idm1839362636">
        <title>Distribution</title>
        <p>Of the 1,285±20 individuals, 683 and 602 animals were recorded in forestland and wooded grassland habitats, respectively. Highest number of individuals recorded were during wet season in forestland (n=381); whereas the lowest record was during dry season in wooded grassland habitat (n=298). (<xref ref-type="table" rid="idm1840878492">Table 5</xref>). Seasonal variation in species richness was observed among the two diﬀerent habitats. Accordingly, the highest species richness (n=18) was recorded in the wooded grassland habitat during the dry season and the lowest (n=10) was in forestland during wet season (<xref ref-type="table" rid="idm1840224628">Table 8</xref>). Hence, there was signiﬁcant diﬀerence in species composition between habitat types (χ2 = 4.849, df= 1, p&lt;0.05). Some species were recorded only in one season. For instance, Defassa waterbuck (<italic>Kobus ellipsiprymnus defessa</italic>) was recorded only during dry season in wooded grassland habitat. Grivet monkey (<italic>Cercopithecus aethiops</italic>), Burchell’s zebra (<italic>Equus quagga</italic>), Greater kudu (<italic>Traglaphus strepsiceros</italic>) and Common Warthog (<italic>Phacochoerus africanus</italic>) were also recorded only during dry season in forestland habitat.</p>
        <table-wrap id="idm1840878492">
          <label>Table 5.</label>
          <caption>
            <title> Distribution and abundance of mammals in the two habitat types of the study area based on season</title>
          </caption>
          <table rules="all" frame="box">
            <tbody>
              <tr>
                <td>English name</td>
                <td colspan="2">Forestland</td>
                <td colspan="2">Wooded grassland</td>
                <td colspan="2">Total</td>
              </tr>
              <tr>
                <td> </td>
                <td>wet</td>
                <td>dry</td>
                <td>wet</td>
                <td>dry</td>
                <td>wet</td>
                <td>dry</td>
              </tr>
              <tr>
                <td>Vervet Monkey</td>
                <td>99(25.98%)</td>
                <td>82(27.15%)</td>
                <td>9(2.96%)</td>
                <td>11(3.69%)</td>
                <td>108(15.77%)</td>
                <td>93(15.50%)</td>
              </tr>
              <tr>
                <td>Grivet monkey</td>
                <td>-</td>
                <td>8(2.65%)</td>
                <td>13(4.28%)</td>
                <td>33(11.07%)</td>
                <td>13(1.90%)</td>
                <td>41(6.83%)</td>
              </tr>
              <tr>
                <td>Anubis Baboon</td>
                <td>65(17.06)</td>
                <td>68(22.52%)</td>
                <td>39(12.83%)</td>
                <td>53(17.79%)</td>
                <td>104(15.18%)</td>
                <td>121(20.17%)</td>
              </tr>
              <tr>
                <td>Patas monkey</td>
                <td>-</td>
                <td>-</td>
                <td>42(13.82%)</td>
                <td>47(15.77%)</td>
                <td>42(6.13%)</td>
                <td>47(7.83%)</td>
              </tr>
              <tr>
                <td>DE Brazza’smonkey</td>
                <td>40(10.53)</td>
                <td>26(8.61%)</td>
                <td>-</td>
                <td>-</td>
                <td>40(5.84%)</td>
                <td>26(4.33%)</td>
              </tr>
              <tr>
                <td>Colobus monkey</td>
                <td>131(34.38)</td>
                <td>63(20.86%)</td>
                <td>18(5.92%)</td>
                <td>14(4.70%)</td>
                <td>149(21.75%)</td>
                <td>77(12.83%)</td>
              </tr>
              <tr>
                <td>Burchell’s zebra</td>
                <td>-</td>
                <td>6(1.99%)</td>
                <td>42(13.82%)</td>
                <td>39(13.09%)</td>
                <td>42(6.13%)</td>
                <td>45 (7.5%)</td>
              </tr>
              <tr>
                <td>Greater kudu</td>
                <td>-</td>
                <td>5(1.66%)</td>
                <td>37(12.17%)</td>
                <td>11(3.69%)</td>
                <td>37(5.40%)</td>
                <td>16(2.67%)</td>
              </tr>
              <tr>
                <td>Lesser kudu</td>
                <td>-</td>
                <td>-</td>
                <td>8(2.63%)</td>
                <td>13(4.36%)</td>
                <td>8(1.17%)</td>
                <td>13(2.17%)</td>
              </tr>
              <tr>
                <td>Bushbuck</td>
                <td>16(4.20)</td>
                <td>13(4.30%)</td>
                <td>4(1.32%)</td>
                <td>2(0.67%)</td>
                <td>20(2.92%)</td>
                <td>15((2.50%)</td>
              </tr>
              <tr>
                <td>Guenther's Dikdik</td>
                <td>-</td>
                <td>-</td>
                <td>4(1.32%)</td>
                <td>6(2.01%)</td>
                <td>4(0.58%)</td>
                <td>6(1%)</td>
              </tr>
              <tr>
                <td>Bush Duiker</td>
                <td>14(3.67)</td>
                <td>9(2.98%)</td>
                <td>4(1.32%)</td>
                <td>5(1.68%)</td>
                <td>18(2.63%)</td>
                <td>14(2.33%)</td>
              </tr>
              <tr>
                <td>Defassa waterbuck</td>
                <td>-</td>
                <td>-</td>
                <td>-</td>
                <td>24(8.05%)</td>
                <td>-</td>
                <td>24(4%)</td>
              </tr>
              <tr>
                <td>Black Buffalo</td>
                <td>1(0.26)</td>
                <td>1(0.33%)</td>
                <td>28(9.21%)</td>
                <td>14(4.70%)</td>
                <td>29(4.23%)</td>
                <td>15(2.50%)</td>
              </tr>
              <tr>
                <td>Bushpig</td>
                <td>8(2.10)</td>
                <td>7(2.32%)</td>
                <td>9(2.96%)</td>
                <td>4(1.34%)</td>
                <td>17(2.48%)</td>
                <td>11(1.83%)</td>
              </tr>
              <tr>
                <td>common Warthog</td>
                <td>-</td>
                <td>10(3.31%)</td>
                <td>18(5.92%)</td>
                <td>10(3.36%)</td>
                <td>18(2.63%)</td>
                <td>20(3.33%)</td>
              </tr>
              <tr>
                <td>Giant Forest Hog</td>
                <td>4(1.05)</td>
                <td>1(0.33%)</td>
                <td>-</td>
                <td>-</td>
                <td>4(0.58%)</td>
                <td>1(0.17%)</td>
              </tr>
              <tr>
                <td>Crested porcupine</td>
                <td>3(0.79%)</td>
                <td>2(0.66%)</td>
                <td>16(5.26%)</td>
                <td>5(1.68%)</td>
                <td>19(2.77%)</td>
                <td>7(1.17%)</td>
              </tr>
              <tr>
                <td>Aardvark</td>
                <td>-</td>
                <td>-</td>
                <td>12(3.95%)</td>
                <td>6(2.01%)</td>
                <td>12(1.75%)</td>
                <td>6(1%)</td>
              </tr>
              <tr>
                <td>Ground pangolin</td>
                <td>-</td>
                <td>-</td>
                <td>1(0.33%)</td>
                <td>1(0.34%)</td>
                <td>1(0.15%)</td>
                <td>1(0.17%)</td>
              </tr>
              <tr>
                <td>Total(21)</td>
                <td>381(100%)</td>
                <td>302(100%)</td>
                <td>304(100%)</td>
                <td>298(100%)</td>
                <td>685(100%)</td>
                <td>600(100%)</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>The Colobus monkey (<italic>Colobus guereza</italic>) was the most observed species (28.45%) in forestland followed by Vervet Monkey (<italic>Cercopithecus pygerythrus</italic>) (26.54%), Anubis Baboon (<italic>Papio anubis</italic>) (19.50%), DE Brazza’s monkey (<italic>Cercopitheus neglectus</italic>) (9.68%), Bushbuck (Traglaphus Scriptus) (4.25%), Bush Duiker (<italic>Sylvicapra grimma</italic>) (3.37%), Bushpig (<italic>Potamochoerus larvatus</italic>) (2.20%), Common Warthog (<italic>Phacochoerus africanus</italic>) (1.47%) and Grivet monkey (<italic>Cercopithecus aethiops</italic>) (1.17%). On the other hand, Anubis Baboon (<italic>Papio anubis</italic>) was the most observed (15.28%) in wooded grassland followed by Patas monkey (<italic>Erytherocebus patas</italic>) (14.78%), Burchell’s zebra (<italic>Equus quagga</italic>) (13.46%), Grivet monkey (Cercopithecus aethiops) (7.64%), Greater kudu (<italic>Traglaphus strepsiceros</italic>) (7.97%), Black Buffalo (<italic>Syncerrus caffer</italic>) (6.98%), Colobus monkey (<italic>Colobus guereza</italic>) (5.32%), Common Warthog (<italic>Phacochoerus africanus</italic>) (2.29%), Defersa waterbuck (<italic>Kobus ellipsiprymnus defessa</italic>) (3.97%) and Crested porcupine  (<italic>Hystrix cristata</italic>) (3.49%) (<xref ref-type="table" rid="idm1840224628">Table 8</xref>). Overall distribution of species in the study area was mapped based on the GPS coordinates of each observation event (<xref ref-type="fig" rid="idm1840730292">Figure 8</xref> and <xref ref-type="fig" rid="idm1840728420">Figure 9</xref>).</p>
        <fig id="idm1840730292">
          <label>Figure 8.</label>
          <caption>
            <title>Wet season distribution mammals in BCMF </title>
          </caption>
          <graphic xlink:href="images/image9.jpg" mime-subtype="jpg"/>
        </fig>
        <fig id="idm1840728420">
          <label>Figure 9.</label>
          <caption>
            <title>Dry season distribution of mammals in BCMF</title>
          </caption>
          <graphic xlink:href="images/image10.jpg" mime-subtype="jpg"/>
        </fig>
      </sec>
      <sec id="idm1839260212">
        <title>Conservation Challenges</title>
        <sec id="idm1839260932">
          <title>Socio-demographic profile of the respondents</title>
          <p>Majority (81.25%) of the respondents were male household heads. Respondents with different age group were involved during the study. Hence, most respondents (90.62%) were found at age category between 26-55. Over half (57.81%) of the respondents had no formal education. However, 42.19% of respondents had formal education beginning from primary education up to college level. Almost all (98.44%) of the respondents were married. Farming (92.19%) was the major source of livelihood in the study area. With regard to occupation in the study area, 31.25% and 67.19% of the respondents lived 6-10 years and more than 10 years, respectively.</p>
          <table-wrap id="idm1840726620">
            <label>Table 6.</label>
            <caption>
              <title>Socio-demographic characteristics of respondents</title>
            </caption>
            <table rules="all" frame="box">
              <tbody>
                <tr>
                  <td>Variable</td>
                  <td>Response</td>
                  <td colspan="2">Dime Woyde</td>
                  <td>Dime Erqa</td>
                  <td> </td>
                  <td>Dime Garfa</td>
                  <td> </td>
                  <td>Overall</td>
                  <td> </td>
                </tr>
                <tr>
                  <td> </td>
                  <td> </td>
                  <td>Frequency</td>
                  <td>Percent</td>
                  <td>Frequency</td>
                  <td>Percent</td>
                  <td>Frequency</td>
                  <td>Percent</td>
                  <td>Frequency</td>
                  <td>Percent</td>
                </tr>
                <tr>
                  <td>Sex</td>
                  <td>Male</td>
                  <td>23</td>
                  <td>82.14</td>
                  <td>14</td>
                  <td>73.68</td>
                  <td>15</td>
                  <td>88.24</td>
                  <td>52</td>
                  <td>81.25</td>
                </tr>
                <tr>
                  <td> </td>
                  <td>Female</td>
                  <td>5</td>
                  <td>17.86</td>
                  <td>5</td>
                  <td>26.32</td>
                  <td>2</td>
                  <td>11.76</td>
                  <td>12</td>
                  <td>18.75</td>
                </tr>
                <tr>
                  <td>Age</td>
                  <td>18-25</td>
                  <td>-</td>
                  <td>-</td>
                  <td>-</td>
                  <td>-</td>
                  <td>1</td>
                  <td>5.88</td>
                  <td>1</td>
                  <td>1.56</td>
                </tr>
                <tr>
                  <td> </td>
                  <td>26-35</td>
                  <td>9</td>
                  <td>32.15</td>
                  <td>6</td>
                  <td>31.58</td>
                  <td>2</td>
                  <td>11.76</td>
                  <td>17</td>
                  <td>26.56</td>
                </tr>
                <tr>
                  <td> </td>
                  <td>36-45</td>
                  <td>14</td>
                  <td>50</td>
                  <td>9</td>
                  <td>47.37</td>
                  <td>10</td>
                  <td>58.83</td>
                  <td>33</td>
                  <td>51.56</td>
                </tr>
                <tr>
                  <td> </td>
                  <td>46-55</td>
                  <td>2</td>
                  <td>7.14</td>
                  <td>3</td>
                  <td>15.79</td>
                  <td>3</td>
                  <td>17.65</td>
                  <td>8</td>
                  <td>12.5</td>
                </tr>
                <tr>
                  <td> </td>
                  <td>56-65</td>
                  <td>2</td>
                  <td>7.14</td>
                  <td>-</td>
                  <td>-</td>
                  <td>-</td>
                  <td>-</td>
                  <td>2</td>
                  <td>3.13</td>
                </tr>
                <tr>
                  <td> </td>
                  <td>&gt;65</td>
                  <td>1</td>
                  <td>3.57</td>
                  <td>1</td>
                  <td>5.26</td>
                  <td>1</td>
                  <td>5.88</td>
                  <td>3</td>
                  <td>4.69</td>
                </tr>
                <tr>
                  <td>Educational status</td>
                  <td>No formaleducation</td>
                  <td>15</td>
                  <td>53.58</td>
                  <td>12</td>
                  <td>63.16</td>
                  <td>10</td>
                  <td>58.82</td>
                  <td>37</td>
                  <td>57.81</td>
                </tr>
                <tr>
                  <td> </td>
                  <td>Primaryschool</td>
                  <td>10</td>
                  <td>35.71</td>
                  <td>5</td>
                  <td>26.32</td>
                  <td>4</td>
                  <td>23.53</td>
                  <td>19</td>
                  <td>29.69</td>
                </tr>
                <tr>
                  <td> </td>
                  <td>Secondaryschool</td>
                  <td>2</td>
                  <td>7.14</td>
                  <td>1</td>
                  <td>5.26</td>
                  <td>3</td>
                  <td>17.65</td>
                  <td>6</td>
                  <td>9.38</td>
                </tr>
                <tr>
                  <td> </td>
                  <td>College</td>
                  <td>1</td>
                  <td>3.57</td>
                  <td>1</td>
                  <td>5.26</td>
                  <td> </td>
                  <td> </td>
                  <td>2</td>
                  <td>3.13</td>
                </tr>
                <tr>
                  <td> Marital status</td>
                  <td>Married Single</td>
                  <td>28 -</td>
                  <td>100 -</td>
                  <td>18 -</td>
                  <td>94.74 -</td>
                  <td>17 -</td>
                  <td>100 -</td>
                  <td>63 -</td>
                  <td>98.44 -</td>
                </tr>
                <tr>
                  <td> </td>
                  <td>Divorced</td>
                  <td>-</td>
                  <td>-</td>
                  <td>1</td>
                  <td>5.26</td>
                  <td>-</td>
                  <td>-</td>
                  <td>1</td>
                  <td>1.56</td>
                </tr>
                <tr>
                  <td>Livelihood</td>
                  <td>Farming</td>
                  <td>26</td>
                  <td>92.86</td>
                  <td>17</td>
                  <td>89.47</td>
                  <td>16</td>
                  <td>94.12</td>
                  <td>59</td>
                  <td>92.19</td>
                </tr>
                <tr>
                  <td> </td>
                  <td>GovernmentEmployee</td>
                  <td>2</td>
                  <td>7.14</td>
                  <td>2</td>
                  <td>10.53</td>
                  <td>1</td>
                  <td>5.88</td>
                  <td>5</td>
                  <td>7.81</td>
                </tr>
                <tr>
                  <td>Duration</td>
                  <td>1-5 years</td>
                  <td>-</td>
                  <td>-</td>
                  <td>1</td>
                  <td>5.26</td>
                  <td>-</td>
                  <td>-</td>
                  <td>1</td>
                  <td>1.56</td>
                </tr>
                <tr>
                  <td> </td>
                  <td>6-10 years</td>
                  <td>8</td>
                  <td>28.57</td>
                  <td>5</td>
                  <td>26.32</td>
                  <td>7</td>
                  <td>41.18</td>
                  <td>20</td>
                  <td>31.25</td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
        </sec>
      </sec>
      <sec id="idm1839152380">
        <title>Threats to BCMF</title>
        <p>In the present study many threats to BCMF were identified such as poaching, fire, grazing, fuelwood extraction, population growth, habitat modification, overharvesting of resources, invasives species .</p>
        <sec id="idm1839152164">
          <title>Poaching</title>
          <p>Although majority age category (26-4) (53.13%) of the respondents denied the practice of poaching in the study area, (26-&gt;65) 31.25% of the respondents mentioned the occurrence of illegal hunting in the locality. As most respondents reflected, due to the control of the forest by the local government, there was less incidence of poaching. Animals that mostly being hunted in the study area include: Lesser kudu (<italic>Traglaphus imberbis</italic>), Buffalo (<italic>syncerrus caffer</italic>), Defassa waterbuck (<italic>Kobus ellipsiprymnus defessa</italic>), Greater kudu (Traglaphus strepsiceros), Bushback (<italic>Traglaphus Scriptus</italic>), Duicker (<italic>Sylvicapra grimma</italic>), Lion (<italic>Panthera leo</italic>) and Leopards (<italic>Panthera pardus</italic>).</p>
        </sec>
        <sec id="idm1839151156">
          <title>Habitat Modification</title>
        </sec>
        <sec id="idm1839150940">
          <title>Fire</title>
          <p>All respondents category (18-&gt;65) (100%) confessed the occurrence of hunan-induced fire in the forest especially during dry season. The respondents mentioned many reasons why intentional fire set in the forest such as to avoid bush encrochment and obtain new grass growth, clearing the area for farmland (usually at the edge of the forest), and during honey collection. Muri, Bodi and Banchi ethnic groups annually burn large area in the forest.</p>
        </sec>
        <sec id="idm1839147124">
          <title>Grazing</title>
          <p> Respondents also mentioned practices of free grazing livestock in the forest, though it occurred less often. However, all repondents age category (18- &gt;65) (100%) explained the existence of harvesting grass for livestock during a certain season while permitted by local community leader.</p>
        </sec>
        <sec id="idm1839147484">
          <title>Fuelwood extraction</title>
          <p>Majority age category (26-55) (92.21%) of the respondents mentioned that fuelwood collection inside the forest not allowed. Hence, fuelwoods usually being collected at the edge/outside of the core area of the forest. However, age category (18-25 and 56-&gt;65) 7.79% of the respondents informed the practice of fuelwood collection in the forest.</p>
          <p>Other human impacts on Bayo community forest (population growth, habitat modification, overharvesting of resources, and invasives species) were also indicated by the respondent, despite not significant. The respondents mentioned these impacts were more pronounced before the forest was re-demarcated by SNNPRS and REDD+ in 2018. Particularily, according to age category (18-&gt;65) 99.44% of the respondents, the impact of population growth nearby the forest resulted serious problem on the forest before 2018. On the other hand, habitat modification, overharvesting, and invasive species were, low (26-45) (71.88%), moderate (18-&gt;65) (85.25), and (26-45) low (73.44), respectively. Invasive plant species occurred in the study area include: Parthenium weed (<italic>Parthenium hysterophorous</italic>), Mesquite trees (<italic>Prosopis juliflora</italic>), and Lantana weed (<italic>Lantana camara</italic>). Concerning the trends of the above mentioned factors, as per the respondents reflection, decreased for population growth (100%), habitat modification (18-65) (98.44%) and overharvesting (18-65) (98.44%) whereas increasing for invasive species category (26-35) (9.38%) (<xref ref-type="table" rid="idm1840279204">Table 7</xref>). </p>
          <table-wrap id="idm1840279204">
            <label>Table 7.</label>
            <caption>
              <title>Human impacts on Bayo community managed forest </title>
            </caption>
            <table rules="all" frame="box">
              <tbody>
                <tr>
                  <td>Impacts</td>
                  <td colspan="6">Degree of impacts</td>
                  <td colspan="6">Trends of impacts</td>
                </tr>
                <tr>
                  <td/>
                  <td colspan="2">Low</td>
                  <td colspan="2">Moderate</td>
                  <td colspan="2">High</td>
                  <td colspan="2">Increasing</td>
                  <td colspan="2">Decreasing</td>
                  <td colspan="2">unchanged</td>
                </tr>
                <tr>
                  <td/>
                  <td>Frequenc</td>
                  <td>Percen</td>
                  <td>Freque</td>
                  <td>Perc</td>
                  <td>Freque</td>
                  <td>Perc</td>
                  <td>Frequency</td>
                  <td>Perc</td>
                  <td>Freque</td>
                  <td>Perce</td>
                  <td>Frequen</td>
                  <td>Perce</td>
                </tr>
                <tr>
                  <td>Populationgrowth</td>
                  <td>-</td>
                  <td>-</td>
                  <td>1</td>
                  <td>1.56</td>
                  <td>63</td>
                  <td>98..44</td>
                  <td>-</td>
                  <td>-</td>
                  <td>64</td>
                  <td>100</td>
                  <td>-</td>
                  <td>-</td>
                </tr>
                <tr>
                  <td>Habitatchanges</td>
                  <td>57</td>
                  <td>89.06</td>
                  <td>4</td>
                  <td>6.25</td>
                  <td>3</td>
                  <td>4.69</td>
                  <td>1</td>
                  <td>1.56</td>
                  <td>63</td>
                  <td>98.44</td>
                  <td>-</td>
                  <td>-</td>
                </tr>
                <tr>
                  <td>Over-harvesting</td>
                  <td>11</td>
                  <td>17.19</td>
                  <td>52</td>
                  <td>81.25</td>
                  <td>1</td>
                  <td>1.56</td>
                  <td>1</td>
                  <td>1.5</td>
                  <td>63</td>
                  <td>98.44</td>
                  <td>-</td>
                  <td>-</td>
                </tr>
                <tr>
                  <td>invasivespecies</td>
                  <td>59</td>
                  <td>92.19</td>
                  <td>5</td>
                  <td>7.81</td>
                  <td>-</td>
                  <td>-</td>
                  <td>9</td>
                  <td>14.09</td>
                  <td>-</td>
                  <td>-</td>
                  <td>55</td>
                  <td>85.94</td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          <p>On the contrary, in the present study, respondents vehemently expressed the impact of wild animals in relation to crop damage, livestock depredation and being threats to human life. Accordingly, 70.32%, 20.32%, 9.38% of respondents confirmed the negative impacts of wildlife as crop damage, livestock depredation and threatning human life, respectively (<xref ref-type="table" rid="idm1840224628">Table 8</xref>). Hence, there was significant difference among the respondents in respect of types of impacts of wildlife in the study area (χ2 =6.77,df = 2,P&lt;0.05). As per respondents, wild animals involved in the conflict include: Common warthog (<italic>Phacochoerus africanus</italic>), Anubis Baboon (<italic>Papio anubis</italic>), Patas monkey (<italic>Erytherocebus patas</italic>), Crested porcupine (<italic>Hystrix Cristata</italic>) as Crop raiders; Lion (<italic>Panthera leo</italic>) attacked both livestock and humans; Leopard (<italic>Panthera pardus</italic>) and Caracal (<italic>Felis caracal</italic>) attacked livestock especially goat and sheep; Honey badger (<italic>Mellivora capensis</italic>) destoryed beehives.</p>
          <table-wrap id="idm1840224628">
            <label>Table 8.</label>
            <caption>
              <title>Wild animals impacts on the local community</title>
            </caption>
            <table rules="all" frame="box">
              <tbody>
                <tr>
                  <td>Types of problems</td>
                  <td colspan="2">Dime Woyde</td>
                  <td colspan="2">Dime Erqa</td>
                  <td colspan="2">Dime Garfa</td>
                  <td colspan="2">Overall</td>
                </tr>
                <tr>
                  <td/>
                  <td>Frequency</td>
                  <td>%</td>
                  <td>Frequeny</td>
                  <td>%</td>
                  <td>Frequency</td>
                  <td>%</td>
                  <td>Frequency</td>
                  <td>%</td>
                </tr>
                <tr>
                  <td>Cropdamaging</td>
                  <td>22</td>
                  <td>78.57</td>
                  <td>12</td>
                  <td>63.16</td>
                  <td>11</td>
                  <td>64.71</td>
                  <td>45</td>
                  <td>70.32</td>
                </tr>
                <tr>
                  <td>Predation</td>
                  <td>-</td>
                  <td>-</td>
                  <td>7</td>
                  <td>36.84</td>
                  <td>6</td>
                  <td>35.29</td>
                  <td>13</td>
                  <td>20.32</td>
                </tr>
                <tr>
                  <td>Threat onhumans</td>
                  <td>6</td>
                  <td>21.43</td>
                  <td>-</td>
                  <td>-</td>
                  <td>-</td>
                  <td>-</td>
                  <td>6</td>
                  <td>9.38</td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          <p>Respondents attitude towards the forest was also assessed during the study. The forest existence as important source of livelihood realized by many (98.44%) respondents. However, 1.56% of the respondents had no information about the very existence of the forest at all. Respondents also ranked the degree of importance of the forest to their livelihood. Thus, 54.69% and 43.75% of the respondents mentioned BCMF as very important and important, respectively (<xref ref-type="table" rid="idm1840089268">Table 9</xref>). In general, there was significant difference among the respondents concerning their attitude towards BCMF (χ2 =30.219, df = 2, P&lt;0.05).</p>
          <table-wrap id="idm1840089268">
            <label>Table 9.</label>
            <caption>
              <title>Perception of local community towards BCMF</title>
            </caption>
            <table rules="all" frame="box">
              <tbody>
                <tr>
                  <td>Attitude towards BCMF</td>
                  <td> </td>
                  <td> </td>
                  <td> </td>
                  <td> </td>
                  <td colspan="2">Name of Village</td>
                  <td> </td>
                  <td> </td>
                  <td> </td>
                  <td> </td>
                  <td> </td>
                </tr>
                <tr>
                  <td/>
                  <td>Dime Woyde</td>
                  <td> </td>
                  <td>Dime Erqa</td>
                  <td> </td>
                  <td>Dime Garfa</td>
                  <td> </td>
                  <td>Overall</td>
                  <td> </td>
                  <td>χ2</td>
                  <td>df</td>
                  <td>pvalues</td>
                </tr>
                <tr>
                  <td> </td>
                  <td>Frequency</td>
                  <td>%</td>
                  <td>Frequency</td>
                  <td>%</td>
                  <td>Frequency</td>
                  <td>%</td>
                  <td>Frequency</td>
                  <td>%</td>
                  <td> </td>
                  <td> </td>
                  <td> </td>
                </tr>
                <tr>
                  <td>Veryimportant</td>
                  <td>19</td>
                  <td>67.86</td>
                  <td>8</td>
                  <td>42.11</td>
                  <td>8</td>
                  <td>47.06</td>
                  <td>35</td>
                  <td>54.69</td>
                  <td>6.392</td>
                  <td>2</td>
                  <td>0.011*</td>
                </tr>
                <tr>
                  <td>important</td>
                  <td>9</td>
                  <td>32.14</td>
                  <td>10</td>
                  <td>52.63</td>
                  <td>9</td>
                  <td>52.94</td>
                  <td>28</td>
                  <td>43.75</td>
                  <td>6.623</td>
                  <td>2</td>
                  <td>0.036*</td>
                </tr>
                <tr>
                  <td>I don’tknow</td>
                  <td>-</td>
                  <td>-</td>
                  <td>1</td>
                  <td>5.26</td>
                  <td>-</td>
                  <td>-</td>
                  <td>1</td>
                  <td>1.56</td>
                  <td>2.015</td>
                  <td>1</td>
                  <td>-</td>
                </tr>
                <tr>
                  <td>Total</td>
                  <td>28</td>
                  <td>100</td>
                  <td>19</td>
                  <td>100</td>
                  <td>17</td>
                  <td>100</td>
                  <td>64</td>
                  <td>100</td>
                  <td>15.426</td>
                  <td>2</td>
                  <td>0.00</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="idm1838934740">
                <label/>
                <p>*significant at 0.05</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
        </sec>
      </sec>
      <sec id="idm1838934596">
        <title>Summary of Focus Group Discussion</title>
        <p>A total of three focus group discussions were carried out at Dime-Woyde, Dime-Garfa, and Dime -Erqa kebeles (<xref ref-type="fig" rid="idm1840037140">Figure 10</xref>). The discussants had better knowledge and understanding of the benefits of the forest. Thus, they had a strong positive attitude towards the forest. The discussion revealed that the local community has strong spiritual, cultural and economic nexus with the forest. The benefits obtained from the forest included honey collection, house construction materials, the seasonal harvesting of editable fruits and grass. Jemesho-water in the forest was also used as holy water and had cultural and medicinal values. The local community elders and community rangers look after any illegal activities in and around the forest. However, though the impacts are reduced due to the re-demarcation of the area by the government and REDD+, some threats such as poaching, fuelwood and fooder collection, human-induced fire are still viable. During the study period, the researcher had an opportunity to observe community members clothed wild animals products such as the skin of lion (<italic>Panthera leo</italic>), Leopards (<italic>Panthera pardus</italic>) and Cheetah (<italic>Acinonyx jubatus</italic>). Furthermore, during a household survey, the observed wild animals products collection in the house such as trophy or horns of Buffalos (<italic>syncerrus caffer</italic>) and Greater kudu (<italic>Traglaphus strepsiceros</italic>). The discussion also confirmed the occurrence of human-wildlife conflict in the area that is expressed by crop-raiding, livestock predation and threats on human life. The discussants also mentioned the effort of the REDD+ project in the study area in creating awareness about forest biodiversity. Thus, the project developed different alternatives of livelihood sources (such as nursery sites and honey beekeeping cooperative developments) that reduced anthropogenic influences on the forest. <xref ref-type="table" rid="idm1840033900">Table 10</xref></p>
        <fig id="idm1840037140">
          <label>Figure 10.</label>
          <caption>
            <title> Events of focus group discussions</title>
          </caption>
          <graphic xlink:href="images/image11.jpg" mime-subtype="jpg"/>
        </fig>
      </sec>
      <sec id="idm1838930924">
        <title>Other Observed Animals</title>
        <table-wrap id="idm1840033900">
          <label>Table 10.</label>
          <caption>
            <title> Other animals observed during the study</title>
          </caption>
          <table rules="all" frame="box">
            <tbody>
              <tr>
                <td>Species Name</td>
                <td>Local name</td>
                <td>Observation method</td>
              </tr>
              <tr>
                <td>African civet (<italic>Civetticitis</italic><italic>civetta</italic>)</td>
                <td>Dugite</td>
                <td>Indirect observation and interview</td>
              </tr>
              <tr>
                <td>Cheetah (<italic>Acinonyx</italic><italic>jubatus)</italic></td>
                <td>Kergine</td>
                <td>interview</td>
              </tr>
              <tr>
                <td>Spotted hyena (<italic>Crocuta</italic><italic>crocuta)</italic></td>
                <td>Nayo</td>
                <td>Indirect observation and interview</td>
              </tr>
              <tr>
                <td>Caracal (<italic>Felis</italic><italic>caracal</italic>)</td>
                <td>Halute</td>
                <td>Direct observation</td>
              </tr>
              <tr>
                <td>Leopard (<italic>Panthera</italic><italic>pardus</italic>)</td>
                <td>Tolku</td>
                <td>Direct observation and smell</td>
              </tr>
              <tr>
                <td>Serval cat (<italic>Felis</italic><italic>serval</italic>)</td>
                <td>Alute</td>
                <td>Indirect observation and interview</td>
              </tr>
              <tr>
                <td>Lion (<italic>Panthera</italic><italic>leo</italic>)</td>
                <td>Beyo</td>
                <td>Indirect observation and interview</td>
              </tr>
              <tr>
                <td>Honey badger (<italic>Mellivora</italic><italic>capensis</italic>)</td>
                <td>-</td>
                <td>Indirect observation and interview</td>
              </tr>
              <tr>
                <td>Common jackal (<italic>Canis</italic><italic>aures</italic>)</td>
                <td>-</td>
                <td>Observation, Indirect, and interview</td>
              </tr>
              <tr>
                <td>Tortoise <italic>(Testudo</italic><italic>pardalis)</italic></td>
                <td>Zahahami</td>
                <td>Direct observation</td>
              </tr>
              <tr>
                <td>Wild dog (<italic>Lycaon pictus</italic>)</td>
                <td>Yayu</td>
                <td>Indirect observation and interview</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
    </sec>
    <sec id="idm1838909252" sec-type="discussion">
      <title>Discussion</title>
      <p>In terms of number of mammalian species identified, the study area comprises relatively lower and higher number of species as compared to other similar studies in the country. For instance, lower records include 10 species in Geremba Mountain Fragments community-managed area, Southern Ethiopia <xref ref-type="bibr" rid="ridm1840998524">30</xref>; 12 species in Mengaza communal forest, East Gojjam<xref ref-type="bibr" rid="ridm1840994708">31</xref>; 19 species in Michole Community Protected Forest, Southern Ethiopia <xref ref-type="bibr" rid="ridm1841339852">4</xref>, and 19 species in Wondo Genet Forest Patches <xref ref-type="bibr" rid="ridm1841059204">23</xref>. On the other hand, higher record include 27 species in Adaba Community Forest, West Arsi Zone, Southeast Ethiopia <xref ref-type="bibr" rid="ridm1841008028">32</xref>, and 22 species in Fragmented Remnant Forests around Asella Town, Ethiopia <xref ref-type="bibr" rid="ridm1841004428">33</xref> In general, high reproductive success, adaptability to different habitats, diversified foraging behaviour, food source availability and high tolerance level to anthropogenic disturbances might attribute to high species richness in the study area<xref ref-type="bibr" rid="ridm1841008028">32</xref><xref ref-type="bibr" rid="ridm1840983284">34</xref>.</p>
      <p>The present study show the highest number of mammals was recorded in forest than wooded grassland habitat in the study area. The species richness was highest in wooded grassland (17) compared to forestland (10) in the wet season, while as wooded grassland (18) compared to forestland (14) in dry season respectively. This study similar to Mammalian distribution was higher number in forestland than wooded grassland in Tululujia Wildlife Reserve, Southwestern Ethiopia <xref ref-type="bibr" rid="ridm1840981196">35</xref>, The distributed in the wooded grassland highest than forest land in the Nech Sar National Park, Ethiopia <xref ref-type="bibr" rid="ridm1840978964">36</xref>.   others hands different species distribution is higher in the natural moist Afro montane forest than Modified Afro montane forest and wooded grassland in Nensebo Forest, Southern Ethiopia <xref ref-type="bibr" rid="ridm1840974932">37</xref>. The highest species number recorded in the natural forest habitat during the dry season than Wooded grassland and agro forestry land in Wondo Genet Forest Patches <xref ref-type="bibr" rid="ridm1841059204">23</xref>. Different study Higher numbers of mammals distributed in the bushland area, followed by open grassland, riverine forest in Humbo Community-Based Forest Area, Southern Ethiopia <xref ref-type="bibr" rid="ridm1840983284">34</xref>.High numbers species in the wooded grassland might be due to relatively better vegetation diversity in the study area. <xref ref-type="bibr" rid="ridm1840971764">38</xref>suggest that high numbers of species in vegetation supports a high numers of mammalian species</p>
      <p>Poaching, grazing, human-induced fire, fuelwood extraction, population growth, habitat change, overharvesting, and invasive species were the major threats to BCMF. Although only 31.25% of respondents agreed on the occurrence of illegal hunting in the study area, the presence of animal products such as horns and skin in many houses of households might indicate a higher level of poaching in the area. According to some respondents the area used to host Elephants (<italic>Loxodonta African</italic>) six decades ago but now it locally disappeared. The FGD revealed that large antelopes are the most preferred targets of poaching. Similar results were reported from earlier studies such as n Echefa Forest and Wetland (Proposed In-situ Conservation Site) <xref ref-type="bibr" rid="ridm1840969388">39</xref><xref ref-type="bibr" rid="ridm1840965716">40</xref>, Wabe forest fragments, Gurage zone <xref ref-type="bibr" rid="ridm1840963916">41</xref>; and in Harenna Forest, South East Ethiopia <xref ref-type="bibr" rid="ridm1840960964">42</xref>. Human- induced fire is also commonly practised in the forest by Muri, Bodi, Banchi, Dime and Konso ethnic groups to get new fresh grass and reduce bush encroachment. The practice of human-induced fire in protected areas was also reported by <xref ref-type="bibr" rid="ridm1840988684">43</xref> in and Around Jer Silase Monastry in Amhara Region. Although grazing in the forest is less frequent, local communities in the study area harvest grasses based on the consent of the local community leader. This similar in Mengaza communal forest, East Gojjam <xref ref-type="bibr" rid="ridm1840994708">31</xref> and in Geremba Mountain Fragments, Southern Ethiopia <xref ref-type="bibr" rid="ridm1840998524">30</xref>.   This contradicts the finding of <xref ref-type="bibr" rid="ridm1840988684">43</xref> around Jer Silase Monastry in Amhara Region, and Harenna Forest, South East Ethiopia <xref ref-type="bibr" rid="ridm1840987172">44</xref> is highly practiced.</p>
      <p>Invasive plant species encroachment is a major threat to the extinction of mammalian species, and very common agenda in worldwide <xref ref-type="bibr" rid="ridm1840893916">45</xref><xref ref-type="bibr" rid="ridm1840888156">46</xref>. In most of the Ethiopian protected areas invasiveness and encroachment of unpalatable plant species is increasing from time to time <xref ref-type="bibr" rid="ridm1841081412">16</xref><xref ref-type="bibr" rid="ridm1840887364">47</xref>. Invasive plant species that occurred in the study area include parthenium weed (<italic>Parthenium hysterophorous</italic>), mesquite trees (<italic>Prosopis juliflora</italic>), lantana weed (<italic>Lantana Camara</italic>). These species are reported in different protected areas of the country <xref ref-type="bibr" rid="ridm1840884988">48</xref><xref ref-type="bibr" rid="ridm1840883260">49</xref></p>
      <p>In the study area, there is the human-wildlife conflict that causes crop damage, livestock depredation and threatening to human life. However, crop damage was the most pronounced problem in the study area. Crop damage was reported as the most serious problem of human-wildlife conflict in many earlier studies <xref ref-type="bibr" rid="ridm1840877356">50</xref><xref ref-type="bibr" rid="ridm1840873036">51</xref><xref ref-type="bibr" rid="ridm1840901548">53</xref><xref ref-type="bibr" rid="ridm1840860956">54</xref></p>
      <p>Respondents' positive attitude towards BCMF indicates the occurrence of better awareness about forest conservation as well as the proper realization of the benefits obtained from the forest. In general, due to the recent awareness creation made by REDD+, threats in BCMF is decreasing. Studies at Choke mountain forest <xref ref-type="bibr" rid="ridm1840859660">55</xref>, Harenna Forest <xref ref-type="bibr" rid="ridm1840987172">44</xref>, and in Menz-Gera Midir District, North Shewa Zone, Ethiopia <xref ref-type="bibr" rid="ridm1840854692">56</xref> and <xref ref-type="bibr" rid="ridm1840873036">51</xref> reported a similar result to the present finding.</p>
    </sec>
    <sec id="idm1838907596" sec-type="conclusions">
      <title>Conclusion</title>
      <p>The occurrence of 20 mammalian species that belong to six orders and eight families indicates that BCMF is an important area that harbours diverse mammalian species. Thus, it is very important to sustain the existence of these species by strengthening the conservation approach practised in the area. Signiﬁcant diﬀerence in species composition was observed between habitat types. Hence, the highest species richness was recorded in the wooded grassland whereas the lowest was in forestland. Therefore, this indicates habitat type determined the distribution of some species. On the other hand, seasonal variation in the number of mammals was not statistically signiﬁcant. Thus, the season was not a factor to determine species richness in the study area.</p>
      <p> In the study area, there are anthropogenic threats on wild animals such as poaching, human-induced fire, grazing, habitat modification, population growth and so on. On the other side, crop damage, livestock depredation and threatening to human life are the negative values of wildlife in the study area. However, due to the recent awareness creation made by REDD+, the local community has developed a positive attitude towards wild animals in the study area.</p>
    </sec>
    <sec id="idm1838906948">
      <title>Recommendations</title>
      <p>
        <italic>Based on the findings of the present study, the following recommendations are forwarded</italic>
      </p>
      <p>Illegal activities such as poaching, fuel wood collection and grass cutting in the Bayo community managed forest should be controlled, developing awareness of the community and respective role of them &amp; other stakeholders ;</p>
      <p>Other ecological aspects such as feeding ecology, diurnal activity pattern and behavioral ecology should be studied in  order to obtain better understanding about mammals in the study area;</p>
      <p>As BCMF is endowed with high biodiversity, survey on small mammals, avians, and carnivores species should also be encouraged;</p>
      <p>The local government should promote the study area and provide appropriate support towards it conservation.</p>
    </sec>
  </body>
  <back>
    <ack>
      <p>The authors would like to acknowledge the Ethiopian Wildlife Conservation Authority and Nech Sar National Park for financing this research, thank the Department of Biology, College of Natural and Computational Sciences, Arba Minch University, for their valuable support in different ways. profound pleasure to acknowledge South Omo Zone and Salamago Woreda Environment, Forest and Biodiversity department, for their support during the study. would like to thank all the community members of the Bayo community-managed forest for their full-hearted cooperation. Special thanks to Bayo community Rangers Mr Ermiju Niguse, Kalado Bodi, Lechune Nebegase, Demeke Tadese, Tsega Mamo, Melkamu Toyeka, Niguse Getahune, Amaro Derase, for their special hospitality and tireless service of Ranging and experience sharing during data collection inside and surrounding the forest.</p>
    </ack>
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