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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. For. Glob. Change</journal-id>
<journal-title>Frontiers in Forests and Global Change</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. For. Glob. Change</abbrev-journal-title>
<issn pub-type="epub">2624-893X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/ffgc.2025.1610409</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Forests and Global Change</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Assessing the feasibility of the socioeconomic benefits of <italic>Colophospermum mopane</italic> under climate change in north-central Namibia</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Nikodemus</surname>
<given-names>Andreas</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>H&#x00E1;jek</surname>
<given-names>Miroslav</given-names>
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<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Bernal</surname>
<given-names>Diana Carolina Huertas</given-names>
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<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<surname>WIrawan</surname>
<given-names>Nia Novita</given-names>
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<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<surname>Muhoko</surname>
<given-names>Edward</given-names>
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<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<surname>Nangolo</surname>
<given-names>Penelao</given-names>
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<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="author-notes" rid="fn0003"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
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<surname>Ndeinoma</surname>
<given-names>Albertina</given-names>
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<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Shikangalah</surname>
<given-names>Rosemary</given-names>
</name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="author-notes" rid="fn0003"><sup>&#x2020;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Faculty of Forestry and Wood Sciences, Department of Forestry and Wood Economics, Czech University of Life Sciences Prague</institution>, <addr-line>Prague</addr-line>, <country>Czechia</country></aff>
<aff id="aff2"><sup>2</sup><institution>Faculty of Health Science, Department of Nutrition, Universitas Brawijaya</institution>, <addr-line>Malang</addr-line>, <country>Indonesia</country></aff>
<aff id="aff3"><sup>3</sup><institution>Plant Ecology, University of Bayreuth</institution>, <addr-line>Bayreuth</addr-line>, <country>Germany</country></aff>
<aff id="aff4"><sup>4</sup><institution>Faculty of Environmental Management and Sustainability Sciences, The International University of Management</institution>, <addr-line>Windhoek</addr-line>, <country>Namibia</country></aff>
<aff id="aff5"><sup>5</sup><institution>Faculty of Agriculture, Engineering, and Natural Sciences, School of Science, Department of Environmental Sciences, University of Namibia</institution>, <addr-line>Windhoek</addr-line>, <country>Namibia</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2950522/overview">Emmanuel Chukwuma</ext-link>, Forestry Research Institute of Nigeria, Nigeria</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2659929/overview">Jhon Hardy Purba</ext-link>, Universitas Panji Sakti, Indonesia</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3079702/overview">Belay Zerga</ext-link>, Wolkite University, Ethiopia</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3142909/overview">Alfred Onefeli</ext-link>, University of Ibadan, Nigeria</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Andreas Nikodemus, <email>nikodemus@fld.czu.cz</email></corresp>
<fn fn-type="other" id="fn0003"><p><sup>&#x2020;</sup>ORCID: Penelao Nangolo, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0009-0008-3015-0049">orcid.org/0009-0008-3015-0049</ext-link></p>
<p>Rosemary Shikangalah, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0003-0018-0518">orcid.org/0000-0003-0018-0518</ext-link></p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>8</volume>
<elocation-id>1610409</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Nikodemus, H&#x00E1;jek, Bernal, WIrawan, Muhoko, Nangolo, Ndeinoma and Shikangalah.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Nikodemus, H&#x00E1;jek, Bernal, WIrawan, Muhoko, Nangolo, Ndeinoma and Shikangalah</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p><italic>Colophospermum mopane</italic> (<italic>C. mopane</italic>) is a drought-tolerant deciduous tree that provides essential ecosystem services for local communities. Despite its socioeconomic importance, the feasibility of these benefits under changing climatic conditions remains understudied, particularly in sparsely forested regions such as north-central Namibia. In this study, we assess the feasibility of <italic>C. mopane</italic>&#x2019;s socioeconomic contributions in Namibia&#x2019;s Kunene and Omusati regions by focusing on subsistence and commercial use. Using a semi-structured questionnaire, we collected data from local communities at four Forestry offices: Outapi, Tsandi, Opuwo, and Okahao-yielding 117 responses. We employed descriptive statistics to analyse data using IBM SPSS combined with Microsoft Excel. The results revealed that firewood was the most common product of <italic>C. mopane</italic>, primarily harvested for subsistence purposes. The products were mainly harvested from crop fields. Household income from <italic>C. mopane</italic> products ranged from &#x003C;1,000 to 5,000 Namibian Dollars (NAD) per sale, with peak earnings recorded in 2019 and 2020. Key climate-related challenges affecting these benefits included floods, thunderstorms, and erratic rainfall. Respondents highlighted the need for improved wood-processing skills, better market access, and financial support to enhance the sustainability of <italic>C. mopane</italic>-based livelihoods. We recommend targeted climate adaptation strategies such as agroforestry, tree planting projects, drought-resistant crops, and community education on sustainable resource use and promoting alternative energy sources such as solar power for cooking and heating. Future studies should evaluate the effectiveness of climate adaptation and mitigation strategies in managing mopane woodlands for long-term socioeconomic resilience.</p>
</abstract>
<kwd-group>
<kwd>firewood</kwd>
<kwd>community forests</kwd>
<kwd>income generation</kwd>
<kwd>marketing</kwd>
<kwd>permits</kwd>
<kwd>wood processing</kwd>
</kwd-group>
<contract-sponsor id="cn1">Ministry of Education<named-content content-type="fundref-id">10.13039/501100002701</named-content></contract-sponsor>
<counts>
<fig-count count="7"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="42"/>
<page-count count="11"/>
<word-count count="6873"/>
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<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>People and Forests</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="sec1">
<title>Highlights</title>
<list list-type="bullet">
<list-item>
<p>Forest products of <italic>C. mopane</italic> are primarily used for firewood and poles at the subsistence use level.</p>
</list-item>
<list-item>
<p>The income generated from <italic>C. mopane</italic> products between 2010 and 2022 was relatively low, ranging from &#x003C;1,000 to 5,000 Namibian Dollars (NAD).</p>
</list-item>
<list-item>
<p>Erratic rainfall and tree mortality are the main climate-related challenges impacting socioeconomic benefits from <italic>C. mopane</italic> forest products in the Kunene and Omusati regions.</p>
</list-item>
</list>
</sec>
<sec sec-type="intro" id="sec2">
<label>1</label>
<title>Introduction</title>
<p>The impact of climate change on forest ecosystems is a trending subject that has captured the attention of researchers, forest managers, and policymakers worldwide. Increasing disturbances such as forest fires, erosion, pest and insect outbreaks, floods, and prolonged seasons of drought are all attributed to climate change (<xref ref-type="bibr" rid="ref35">Seidl et al., 2017</xref>). These phenomena reduce forest productivity, damage tree populations and affect forest ecosystem services (<xref ref-type="bibr" rid="ref7">Gebeyehu, 2019</xref>; <xref ref-type="bibr" rid="ref32">Nunes et al., 2021</xref>). Consequently, the effects of climate change also influence how communities benefit from the forests. Therefore, rural communities that depend on forests for fuel, construction materials, food, and income face increasing challenges in securing these resources. Namibia is regarded as the most arid country in sub-Saharan Africa (<xref ref-type="bibr" rid="ref25">Naftal et al., 2024</xref>; <xref ref-type="bibr" rid="ref40">Van Rensburg and Tortajada, 2021</xref>). This makes it the most vulnerable country to the impacts of climate change in the region (<xref ref-type="bibr" rid="ref16">Lotfy, 2019</xref>; <xref ref-type="bibr" rid="ref19">Mapaure, 2022</xref>). The country&#x2019;s forests are characterised by sparsely distributed trees and shrubs, which form woodland ecosystems that provide essential services such as firewood, poles, and non-timber forest products (<xref ref-type="bibr" rid="ref41">Vrabcov&#x00E1; et al., 2019</xref>).</p>
<p>Globally, forest products are recognised as vital contributors to livelihoods and human well-being, especially in rural areas of developing countries (<xref ref-type="bibr" rid="ref23">Mugari et al., 2024</xref>). Local communities use forest products for various purposes, particularly in the form of non-wood forest products (NWPs). It is a well-known fact that NWPs play a vital role in the livelihoods and economies of many rural communities, particularly in rural areas (<xref ref-type="bibr" rid="ref3">Asamoah et al., 2023</xref>; <xref ref-type="bibr" rid="ref26">Nakanyala et al., 2022</xref>). In Namibia, the commercialisation of NWPs is often promoted to improve rural livelihoods, especially for vulnerable communities (<xref ref-type="bibr" rid="ref27">Nakanyete et al., 2023</xref>; <xref ref-type="bibr" rid="ref30">Nikodemus and H&#x00E1;jek, 2015</xref>). However, it is worth noting that the role of forest products has been significantly influenced by climate change. For example, it has been established that the increasing climate change effects on crop production and other livelihoods have resulted in NWPs playing a safety net role for communities to sustain their livelihoods (<xref ref-type="bibr" rid="ref39">Tieminie et al., 2021</xref>). In the same vein, the available quantities of forest products, including NWPs, are declining due to climate change effects, such as drought, fire, pest outbreaks, hydro-geomorphic, and wind (<xref ref-type="bibr" rid="ref2">Altman et al., 2024</xref>; <xref ref-type="bibr" rid="ref34">Saffa et al., 2024</xref>).</p>
<p>In the far northern regions of the country, communities rely on forest resources for daily needs, including cooking, heating, and construction (<xref ref-type="bibr" rid="ref31">Nikodemus et al., 2023</xref>; <xref ref-type="bibr" rid="ref41">Vrabcov&#x00E1; et al., 2019</xref>). Forests also provide NWPs such as medicine, fruits, mushrooms, and mopane worms. Mopane worms are particularly common in the far northern regions such as Kunene and Omusati. <italic>Colophospermum mopane (C. mopane)</italic> is among the dominant tree species in these regions, and it plays a crucial role due to its drought tolerance and high wood quality.</p>
<p>Dry and warm climatic conditions characterise the two far northern regions of Kunene and Omusati. In these regions, irregular annual rainfall ranges from less than 50&#x202F;mm in the west to 415&#x202F;mm in the east (<xref ref-type="bibr" rid="ref4">Awala et al., 2019</xref>; <xref ref-type="bibr" rid="ref31">Nikodemus et al., 2023</xref>). Seasonal variations in average daily temperatures range from 5&#x202F;&#x00B0;C to 35&#x202F;&#x00B0;C (<xref ref-type="bibr" rid="ref9">Inman et al., 2020</xref>). Summertime temperatures can be extremely hot, with average lows of 14&#x202F;&#x00B0;C and highs of 35&#x202F;&#x00B0;C. The temperature range for winter is 5&#x202F;&#x00B0;C to 26&#x202F;&#x00B0;C (<xref ref-type="bibr" rid="ref9">Inman et al., 2020</xref>).</p>
<p>These extreme climatic conditions in the two regions limit the survival of many tree species. Yet, the regions are primarily dominated by <italic>C. mopane</italic>. This suggests that <italic>C. mopane</italic> has adapted to the harsh climatic conditions, making it a critical resource for subsistence and commercial use. The species provides firewood, construction materials, and food, which all contribute to local livelihoods (<xref ref-type="bibr" rid="ref12">Krug, 2017</xref>). Due to its high economic and ecological value, <italic>C. mopane</italic> is a protected tree species in Namibia (<xref ref-type="bibr" rid="ref13">Laws Africa, 2015</xref>).</p>
<p>Despite extensive research on forest provisioning services (<xref ref-type="bibr" rid="ref11">Kamwi et al., 2020</xref>; <xref ref-type="bibr" rid="ref31">Nikodemus et al., 2023</xref>), few studies have examined their long-term socioeconomic feasibility in sparsely forested areas, particularly under climate change (<xref ref-type="bibr" rid="ref14">Leonard and Iileka, 2024</xref>; <xref ref-type="bibr" rid="ref31">Nikodemus et al., 2023</xref>; <xref ref-type="bibr" rid="ref41">Vrabcov&#x00E1; et al., 2019</xref>). Unlike previous studies that broadly documented the socioeconomic role of <italic>C. mopane</italic> in Namibia (<xref ref-type="bibr" rid="ref31">Nikodemus et al., 2023</xref>; <xref ref-type="bibr" rid="ref41">Vrabcov&#x00E1; et al., 2019</xref>), this paper uniquely assesses the feasibility under climate change from a household livelihood perspective using both subsistence and commercial utilisation data. Specifically, our study introduces a baseline socioeconomic dataset across 73 villages in Kunene and Omusati, explicitly linking perceived climate challenges with mopane-based incomes. This provides a sharper understanding of local-level adaptation gaps, which previous studies did not quantify. While forests are known to support rural livelihoods (<xref ref-type="bibr" rid="ref36">Shahi et al., 2022</xref>; <xref ref-type="bibr" rid="ref42">Wunder et al., 2014</xref>), the sustainability of these benefits in arid regions remains uncertain. Therefore, this study aims to assess whether the provisioning services of <italic>C. mopane</italic> remain viable for both subsistence and commercial use under changing climatic conditions in north-central Namibia.</p>
</sec>
<sec sec-type="materials|methods" id="sec3">
<label>2</label>
<title>Methods and materials</title>
<sec id="sec4">
<label>2.1</label>
<title>Study area</title>
<p>As mentioned above, the study was conducted in two of the 14 political regions of Namibia: The Omusati and Kunene regions (<xref ref-type="fig" rid="fig1">Figure 1</xref>). These two regions were selected primarily because they have a high abundance of <italic>C. mopane</italic>. The Omusati region is situated in the far north of Namibia, bordering the Ohangwena region to the east, the Oshana region to the south, and the Kunene region to the west.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Study area and the distribution of <italic>C. mopane</italic>.</p>
</caption>
<graphic xlink:href="ffgc-08-1610409-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Map illustrating parts of Namibia, highlighting the distribution of Colophospermum mopane in red-shaded areas. Key data collection points are marked in Okahao, Onesi, Opuwo, and Outapi. Regions Kunene and Omusati are colored blue and yellow, respectively. An inset map of Africa shows Namibia in red.</alt-text>
</graphic>
</fig>
<p>The Omusati region has a total surface area of 26,573 km<sup>2</sup> (<xref ref-type="bibr" rid="ref20">Mapaure and Ndeinoma, 2011</xref>). The Oshiwambo people primarily inhabit the region. The Omusati region, for example, is Oshiwambo name, derived from <italic>C. mopane</italic> (<xref ref-type="bibr" rid="ref31">Nikodemus et al., 2023</xref>).</p>
<p>The Kunene region is geographically located in the north-western part of Namibia, covering an area of 115,616 km<sup>2</sup> (<xref ref-type="bibr" rid="ref28">Namibia Statistics Agency, 2022</xref>). The Kunene region borders the Omusati region in the east, the Erongo and Otjozondjupa regions in the south and the Namib Desert in the west.</p>
<p><italic>Colophospermum mopane</italic> is an indigenous tree or shrub species typically found in areas with low to moderate rainfall, high temperatures, low altitudes, and various soil types (<xref ref-type="bibr" rid="ref12">Krug, 2017</xref>). Hence, <italic>C. mopane</italic> species is distributed over a large geographic area, spanning from south-western Angola and into Namibia as far south as Brandberg mountain, the highest peak in Namibia. <italic>Colophospermum mopane</italic> prefers fine-grained sand and clay-loam sites formed from basalt, alluvial material, and lime (<xref ref-type="bibr" rid="ref12">Krug, 2017</xref>). It is predominantly found in areas with low to moderate rainfall, high temperatures, low altitudes, and various soil types (<xref ref-type="bibr" rid="ref18">Makhado et al., 2018</xref>).</p>
</sec>
<sec id="sec5">
<label>2.2</label>
<title>Data collection and analysis</title>
<p>Data were collected through a structured questionnaire administered to household representatives. The questionnaire covered demographic characteristics, utilisation of <italic>C. mopane</italic>, income derived, and perceptions of climate-related challenges. A purposive stratified sampling design was adopted, targeting 73 villages across Kunene and Omusati, with respondents selected to reflect gender, age, and income diversity. Enumerators were trained to ensure consistency in administration. Responses were coded into categorical variables (e.g., income groups, education levels), interpreted, and analysed. Descriptive statistics were complemented with inferential tests (chi-square and Spearman correlations) to examine associations between socioeconomic characteristics, mopane income, and climate perceptions.</p>
</sec>
</sec>
<sec sec-type="results" id="sec6">
<label>3</label>
<title>Results</title>
<p>The socioeconomic results focused on the regions, gender, age, marital status, level of education, employment status, family size, and length of stay in the region (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Socio-demographic characteristics of the respondents (<italic>n</italic>&#x202F;=&#x202F;117).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="2">Characteristics</th>
<th align="center" valign="top">Frequency (<italic>N</italic>)</th>
<th align="center" valign="top">Percentage (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">Regions</td>
<td align="left" valign="top">Kunene</td>
<td align="center" valign="top">58</td>
<td align="center" valign="top">51</td>
</tr>
<tr>
<td align="left" valign="top">Omusati</td>
<td align="center" valign="top">55</td>
<td align="center" valign="top">49</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Gender</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">58</td>
<td align="center" valign="top">51</td>
</tr>
<tr>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">55</td>
<td align="center" valign="top">49</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="9">Age</td>
<td align="left" valign="top">18&#x2013;24</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">7</td>
</tr>
<tr>
<td align="left" valign="top">25&#x2013;30</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">13</td>
</tr>
<tr>
<td align="left" valign="top">31&#x2013;35</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">15</td>
</tr>
<tr>
<td align="left" valign="top">36&#x2013;40</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">24</td>
</tr>
<tr>
<td align="left" valign="top">41&#x2013;45</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">11</td>
</tr>
<tr>
<td align="left" valign="top">46&#x2013;50</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">12</td>
</tr>
<tr>
<td align="left" valign="top">51&#x2013;55</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">5</td>
</tr>
<tr>
<td align="left" valign="top">56&#x2013;60</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">7</td>
</tr>
<tr>
<td align="left" valign="top">&#x003E;60</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">5</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Marital status</td>
<td align="left" valign="top">Divorced</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">6</td>
</tr>
<tr>
<td align="left" valign="top">Married</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">40</td>
</tr>
<tr>
<td align="left" valign="top">Single</td>
<td align="center" valign="top">56</td>
<td align="center" valign="top">48</td>
</tr>
<tr>
<td align="left" valign="top">Widowed</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">6</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="6">Level of education</td>
<td align="left" valign="top">Primary education (grades 1&#x2013;7)</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">12</td>
</tr>
<tr>
<td align="left" valign="top">Secondary education (grades 8&#x2013;12)</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">38</td>
</tr>
<tr>
<td align="left" valign="top">Diploma</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">15</td>
</tr>
<tr>
<td align="left" valign="top">Bachelor&#x2019;s degree</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">15</td>
</tr>
<tr>
<td align="left" valign="top">Master&#x2019;s degree</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2</td>
</tr>
<tr>
<td align="left" valign="top">None</td>
<td align="center" valign="top">22</td>
<td align="center" valign="top">19</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Employment status</td>
<td align="left" valign="top">Employed</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">23</td>
</tr>
<tr>
<td align="left" valign="top">Self-employed</td>
<td align="center" valign="top">26</td>
<td align="center" valign="top">23</td>
</tr>
<tr>
<td align="left" valign="top">Student</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">5</td>
</tr>
<tr>
<td align="left" valign="top">Unemployed</td>
<td align="center" valign="top">55</td>
<td align="center" valign="top">50</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Family size</td>
<td align="left" valign="top">1&#x2013;5 people</td>
<td align="center" valign="top">40</td>
<td align="center" valign="top">36</td>
</tr>
<tr>
<td align="left" valign="top">11&#x2013;15 people</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">16</td>
</tr>
<tr>
<td align="left" valign="top">6&#x2013;10 people</td>
<td align="center" valign="top">42</td>
<td align="center" valign="top">38</td>
</tr>
<tr>
<td align="left" valign="top">&#x003E;16 people</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">10</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Length of stay</td>
<td align="left" valign="top">&#x003C;1&#x202F;year</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">8</td>
</tr>
<tr>
<td align="left" valign="top">1&#x2013;5&#x202F;years</td>
<td align="center" valign="top">26</td>
<td align="center" valign="top">26</td>
</tr>
<tr>
<td align="left" valign="top">6&#x2013;10&#x202F;years</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">35</td>
</tr>
<tr>
<td align="left" valign="top">&#x003E;10&#x202F;years</td>
<td align="center" valign="top">31</td>
<td align="center" valign="top">31</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>There were slightly more respondents from the Kunene region (<italic>n</italic>&#x202F;=&#x202F;58; 51%) than from the Omusati region (<italic>n</italic>&#x202F;=&#x202F;55; 49%). Regarding gender, male respondents slightly dominated the participation (<italic>n</italic>&#x202F;=&#x202F;58; 51%) compared to females (<italic>n</italic>&#x202F;=&#x202F;55; 49%). The age ranged from 18 to &#x003E;60&#x202F;years, with the age category 36&#x2013;40&#x202F;years old (<italic>n</italic>&#x202F;=&#x202F;27; 24%) recording the highest number of respondents. Most respondents were single (<italic>n</italic>&#x202F;=&#x202F;56; 48%), while in the level of education sphere, secondary education (grades 8&#x2013;12) was dominant (<italic>n</italic>&#x202F;=&#x202F;45; 38%). Nearly half of the respondents were unemployed (<italic>n</italic>&#x202F;=&#x202F;55; 50%). Family sizes ranged from 1 to &#x003E;16 people, with most families comprising 6&#x2013;10 people (<italic>n</italic>&#x202F;=&#x202F;42; 38%). Lastly, the length of stay in the study area (villages represented) ranged from 1 to &#x003E;10&#x202F;years, and it was indicated that the longest stay was 6&#x2013;10&#x202F;years.</p>
<sec id="sec7">
<label>3.1</label>
<title>Products</title>
<p>The main types of products from <italic>C. mopane</italic> recorded in this study included firewood, poles/droppers, woodcraft, bark-ropes, and mopane worms (<xref ref-type="fig" rid="fig2">Figure 2A</xref>). These products were further classified according to the purpose of use, mainly subsistence and commercial use (<xref ref-type="fig" rid="fig2">Figure 2B</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p><bold>(A)</bold> <italic>Colophospermum mopane</italic> products. <bold>(B)</bold> The classification of the utilisation of the products.</p>
</caption>
<graphic xlink:href="ffgc-08-1610409-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar chart and doughnut chart depicting product values and usage. The bar chart compares the count and percentage of five products: firewood, poles/droppers, woodcraft, bark-ropes, and mopane worms. The doughnut chart illustrates usage distribution, with 89 percent for subsistence use and 11 percent for commercial use.</alt-text>
</graphic>
</fig>
<p>Our results indicated that firewood (<italic>n</italic>&#x202F;=&#x202F;40; 33.3%) was the most used product obtained from <italic>C. mopane</italic>. The second most used product was poles/droppers (<italic>n</italic>&#x202F;=&#x202F;29; 24.2%). Woodcraft (<italic>n</italic>&#x202F;=&#x202F;8; 6.7%) was identified as the least significant product. Furthermore, most respondents (89%) used <italic>C. mopane</italic> for subsistence, primarily for firewood. On the other hand, commercial use was relatively the most common/used (11%).</p>
</sec>
<sec id="sec8">
<label>3.2</label>
<title>Product sources and market types</title>
<p>Our results showed that <italic>C. mopane</italic> products are primarily harvested from community forests, family crop fields, and commercial farms (<xref ref-type="fig" rid="fig3">Figure 3A</xref>). Some of the products are sold at informal and formal markets (<xref ref-type="fig" rid="fig3">Figure 3B</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p><bold>(A)</bold> Product sources. <bold>(B)</bold> Market types.</p>
</caption>
<graphic xlink:href="ffgc-08-1610409-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Two horizontal bar charts depicting data on different types of land and market usage. Chart (a) shows usage in community forests, family crop fields, and commercial farms, with family crop fields having the highest percentage and count. Chart (b) compares informal and formal markets, with informal markets showing significantly higher percentages and counts than formal markets. Both charts use two green shades to represent percentage and count.</alt-text>
</graphic>
</fig>
<p>Respondents revealed that the primary sources of <italic>C. mopane</italic> products were family crop fields (<italic>n</italic>&#x202F;=&#x202F;30; 46.9%), followed by community forests (<italic>n</italic>&#x202F;=&#x202F;20; 31.3%). Commercial farms were another source of the products, but relatively low (<italic>n</italic>&#x202F;=&#x202F;14; 21.9%). Our results further highlighted the two main market types where local communities sell their products. Informal markets were the highest (<italic>n</italic>&#x202F;=&#x202F;37; 90.2%), while formal markets were relatively low (<italic>n</italic>&#x202F;=&#x202F;4; 9.8%).</p>
</sec>
<sec id="sec9">
<label>3.3</label>
<title>Income generation and expenditures</title>
<p>Our results highlighted the income generated from <italic>C. mopane</italic> products (<xref ref-type="fig" rid="fig4">Figure 4A</xref>) and the expenditure (<xref ref-type="fig" rid="fig4">Figure 4B</xref>) on which respondents spend the income. Income generated ranged from 0 to &#x003E;16,000 Namibian Dollars (NAD) per sale.</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p><bold>(A)</bold> Income generation. <bold>(B)</bold> Expenditures.</p>
</caption>
<graphic xlink:href="ffgc-08-1610409-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Graph (a) is a line chart displaying income distribution in NAD over production years 2010 to 2022. Income categories include: greater than 16000, 11000-15000, 6000-10000, 1000-5000, less than 1000, and zero. A significant spike in the highest category is observed in 2020. Graph (b) is a pie chart illustrating expenditures: farming needs (56%), groceries (18%), medical bills (11%), clothing (10%), and school fees (5%).</alt-text>
</graphic>
</fig>
<p>The results showed that income generation from <italic>C. mopane</italic> products fluctuated over the years. The highest income was generated in 2019 and 2020. Among all the participants, 50% indicated that their income from <italic>C. mopane</italic> products ranged from 6,000 to 10,000 NAD in 2019 and 2020, respectively. Income generated throughout the study period ranged from &#x003C;1,000 to 5,000 NAD per sale.</p>
<p><xref ref-type="table" rid="tab2">Table 2</xref> presents figures for income generation during the study period more explicitly.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Income generated from <italic>C. mopane</italic> products between 2010 and 2022.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Production year</th>
<th align="center" valign="top" colspan="2">0</th>
<th align="center" valign="top" colspan="2">&#x003C;1,000</th>
<th align="center" valign="top" colspan="2">1,000&#x2013;5,000</th>
<th align="center" valign="top" colspan="2">6,000&#x2013;10,000</th>
<th align="center" valign="top" colspan="2">11,000&#x2013;15,000</th>
<th align="center" valign="top" colspan="2">&#x003E;16,000</th>
</tr>
<tr>
<th align="center" valign="top">
<italic>n</italic>
</th>
<th align="center" valign="top">%</th>
<th align="center" valign="top">
<italic>n</italic>
</th>
<th align="center" valign="top">%</th>
<th align="center" valign="top">
<italic>n</italic>
</th>
<th align="center" valign="top">%</th>
<th align="center" valign="top">
<italic>n</italic>
</th>
<th align="center" valign="top">%</th>
<th align="center" valign="top">
<italic>n</italic>
</th>
<th align="center" valign="top">%</th>
<th align="center" valign="top">
<italic>n</italic>
</th>
<th align="center" valign="top">%</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom">2010</td>
<td align="center" valign="bottom">15</td>
<td align="center" valign="bottom">6.8</td>
<td align="center" valign="bottom">14</td>
<td align="center" valign="bottom">9.3</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">2.7</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">0.0</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">0.0</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">7.7</td>
</tr>
<tr>
<td align="left" valign="bottom">2011</td>
<td align="center" valign="bottom">15</td>
<td align="center" valign="bottom">6.8</td>
<td align="center" valign="bottom">13</td>
<td align="center" valign="bottom">8.6</td>
<td align="center" valign="bottom">3</td>
<td align="center" valign="bottom">8.1</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">0.0</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">0.0</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">7.7</td>
</tr>
<tr>
<td align="left" valign="bottom">2012</td>
<td align="center" valign="bottom">15</td>
<td align="center" valign="bottom">6.8</td>
<td align="center" valign="bottom">18</td>
<td align="center" valign="bottom">11.9</td>
<td align="center" valign="bottom">3</td>
<td align="center" valign="bottom">8.1</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">0.0</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">0.0</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">7.7</td>
</tr>
<tr>
<td align="left" valign="bottom">2013</td>
<td align="center" valign="bottom">16</td>
<td align="center" valign="bottom">7.2</td>
<td align="center" valign="bottom">12</td>
<td align="center" valign="bottom">7.9</td>
<td align="center" valign="bottom">3</td>
<td align="center" valign="bottom">8.1</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">0.0</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">0.0</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">7.7</td>
</tr>
<tr>
<td align="left" valign="bottom">2014</td>
<td align="center" valign="bottom">17</td>
<td align="center" valign="bottom">7.7</td>
<td align="center" valign="bottom">11</td>
<td align="center" valign="bottom">7.3</td>
<td align="center" valign="bottom">3</td>
<td align="center" valign="bottom">8.1</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">0.0</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">0.0</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">7.7</td>
</tr>
<tr>
<td align="left" valign="bottom">2015</td>
<td align="center" valign="bottom">16</td>
<td align="center" valign="bottom">7.2</td>
<td align="center" valign="bottom">10</td>
<td align="center" valign="bottom">6.6</td>
<td align="center" valign="bottom">5</td>
<td align="center" valign="bottom">13.5</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">0.0</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">0.0</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">7.7</td>
</tr>
<tr>
<td align="left" valign="bottom">2016</td>
<td align="center" valign="bottom">16</td>
<td align="center" valign="bottom">7.2</td>
<td align="center" valign="bottom">12</td>
<td align="center" valign="bottom">7.9</td>
<td align="center" valign="bottom">4</td>
<td align="center" valign="bottom">10.8</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">0.0</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">0.0</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">7.7</td>
</tr>
<tr>
<td align="left" valign="bottom">2017</td>
<td align="center" valign="bottom">17</td>
<td align="center" valign="bottom">7.7</td>
<td align="center" valign="bottom">11</td>
<td align="center" valign="bottom">7.3</td>
<td align="center" valign="bottom">4</td>
<td align="center" valign="bottom">10.8</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">0.0</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">0.0</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">7.7</td>
</tr>
<tr>
<td align="left" valign="bottom">2018</td>
<td align="center" valign="bottom">18</td>
<td align="center" valign="bottom">8.1</td>
<td align="center" valign="bottom">9</td>
<td align="center" valign="bottom">6.0</td>
<td align="center" valign="bottom">3</td>
<td align="center" valign="bottom">8.1</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">0.0</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">0.0</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">7.7</td>
</tr>
<tr>
<td align="left" valign="bottom">2019</td>
<td align="center" valign="bottom">27</td>
<td align="center" valign="bottom">12.2</td>
<td align="center" valign="bottom">9</td>
<td align="center" valign="bottom">6.0</td>
<td align="center" valign="bottom">2</td>
<td align="center" valign="bottom">5.4</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">50.0</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">0.0</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">7.7</td>
</tr>
<tr>
<td align="left" valign="bottom">2020</td>
<td align="center" valign="bottom">18</td>
<td align="center" valign="bottom">8.1</td>
<td align="center" valign="bottom">11</td>
<td align="center" valign="bottom">7.3</td>
<td align="center" valign="bottom">3</td>
<td align="center" valign="bottom">8.1</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">50.0</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">0.0</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">7.7</td>
</tr>
<tr>
<td align="left" valign="bottom">2021</td>
<td align="center" valign="bottom">16</td>
<td align="center" valign="bottom">7.2</td>
<td align="center" valign="bottom">9</td>
<td align="center" valign="bottom">6.0</td>
<td align="center" valign="bottom">2</td>
<td align="center" valign="bottom">5.4</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">0.0</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">0.0</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">7.7</td>
</tr>
<tr>
<td align="left" valign="bottom">2022</td>
<td align="center" valign="bottom">16</td>
<td align="center" valign="bottom">7.2</td>
<td align="center" valign="bottom">12</td>
<td align="center" valign="bottom">7.9</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">2.7</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">0.0</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">0.0</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">7.7</td>
</tr>
<tr>
<td align="left" valign="bottom">Total</td>
<td align="center" valign="bottom">222</td>
<td align="center" valign="bottom">100.0</td>
<td align="center" valign="bottom">151</td>
<td align="center" valign="bottom">100.0</td>
<td align="center" valign="bottom">37</td>
<td align="center" valign="bottom">100.0</td>
<td align="center" valign="bottom">2</td>
<td align="center" valign="bottom">100.0</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">0.0</td>
<td align="center" valign="bottom">13</td>
<td align="center" valign="bottom">100.0</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec10">
<label>3.4</label>
<title>Inferential results</title>
<p>The inferential results focused on socioeconomic demographic information and income generation (<xref ref-type="table" rid="tab3">Table 3</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Inferential results.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variable comparison</th>
<th align="left" valign="top">Test</th>
<th align="center" valign="top"><italic>&#x03C7;</italic><sup>2</sup> <italic>&#x03C1;</italic></th>
<th align="center" valign="top"><italic>p</italic>-value</th>
<th align="left" valign="top">Interpretation</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Gender&#x202F;&#x00D7;&#x202F;main product use (subsistence vs. commercial)</td>
<td align="left" valign="top">Chi-square</td>
<td align="center" valign="top"><italic>&#x03C7;</italic><sup>2</sup>(1)&#x202F;=&#x202F;3.41</td>
<td align="center" valign="top">0.065</td>
<td align="left" valign="top">No significant difference between men and women in product use.</td>
</tr>
<tr>
<td align="left" valign="top">Education level&#x202F;&#x00D7;&#x202F;income category</td>
<td align="left" valign="top">Chi-square</td>
<td align="center" valign="top"><italic>&#x03C7;</italic><sup>2</sup>(4)&#x202F;=&#x202F;11.32</td>
<td align="center" valign="top">0.023</td>
<td align="left" valign="top">Higher education levels associated with greater likelihood of earning &#x003E;NAD 5,000.</td>
</tr>
<tr>
<td align="left" valign="top">Age and perceived climate impact severity</td>
<td align="left" valign="top">Spearman&#x2019;s <italic>&#x03C1;</italic></td>
<td align="center" valign="top">0.29</td>
<td align="center" valign="top">0.004</td>
<td align="left" valign="top">Older respondents more likely to perceive climate-related declines in mopane benefits.</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Inferential analysis revealed that respondents with higher education levels were significantly more likely (<italic>p</italic> &#x003C;&#x202F;0.05) to generate higher mopane-related incomes (&#x003E;NAD 5,000 per sale). Similarly, age was positively correlated with perceptions of climate impacts (<italic>&#x03C1;</italic> =&#x202F;0.29, <italic>p</italic> =&#x202F;0.004), indicating that older respondents observed more pronounced declines in mopane benefits. These findings underscore the role of education and age in shaping adaptation capacity.</p>
</sec>
<sec id="sec11">
<label>3.5</label>
<title>Marketing strategies and selling points</title>
<p>Marketing strategies identified in this study included trade fairs/expos, social media, radio, and one-on-one (<xref ref-type="fig" rid="fig5">Figure 5A</xref>). Selling points identified included rest camps, open markets, farm gates, and along the road (<xref ref-type="fig" rid="fig5">Figure 5B</xref>).</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p><bold>(A)</bold> Marketing strategies. <bold>(B)</bold> Selling points for <italic>C. mopane</italic> products.</p>
</caption>
<graphic xlink:href="ffgc-08-1610409-g005.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar charts displaying marketing strategies and selling points percentages. Chart (a) shows: "I do not market" (most), "One-on-one", "Social media", "Radio", "Trade fairs/expos" (least). Chart (b) shows: "I do not sell" (most), "Door-to-door", "Farm gate", "Open market", "Along road", "Rest camp" (least).</alt-text>
</graphic>
</fig>
<p>Most respondents indicated that they did not engage in marketing or selling (&#x201C;<italic>I do not market&#x201D;</italic>&#x202F;=&#x202F;36.1%). However, most respondents who marketed their products revealed that they used a one-on-one strategy (35.2%). Another notable marketing strategy was social media (19.4%). Radio (19.4%) and trade fairs/expos (2%) were the least effective strategies to market their products. Our results further revealed that most respondents did not sell <italic>C. mopane</italic> products (36.4%). Respondents who sold the products indicated that door-to-door was the most effective selling point (30%), followed by farm gates (19.1%). Rest camps and along the roads were the least significant points (2% each).</p>
</sec>
<sec id="sec12">
<label>3.6</label>
<title>Types of permits and costs</title>
<p>Different types of permits (harvesting, marketing and transportation) varied in fees (<xref ref-type="fig" rid="fig6">Figures 6A</xref>,<xref ref-type="fig" rid="fig6">B</xref>).</p>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p><bold>(A)</bold> Types of permits for <italic>C. mopane</italic>. <bold>(B)</bold> Permits cost.</p>
</caption>
<graphic xlink:href="ffgc-08-1610409-g006.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Two bar charts display data related to permits. Chart (a) shows percentages of various permit types: Harvesting (42.2%), Not using permits (28.9%), Marketing (3.3%), and Transportation (25.6%). Chart (b) compares average permits per year with costs in NAD: Harvesting with 7 permits costing 85 NAD, Transportation with 10 permits costing 136 NAD, and Marketing with 1 permit costing 10 NAD.</alt-text>
</graphic>
</fig>
<p>Our results showed that harvesting was the highly demanded type of permit (42.2%), followed by transportation (25.6%). Marketing was relatively low (3.3%). Regarding the costs, our results showed that transportation permits cost the highest per year (136.00 NAD) on average, followed by harvesting permits (85.00 NAD) per year on average.</p>
</sec>
<sec id="sec13">
<label>3.7</label>
<title>Climate-related challenges</title>
<p>Our results highlighted climate-related challenges affecting the socioeconomic benefits of <italic>C. mopane</italic> (<xref ref-type="table" rid="tab3">Table 3</xref>).</p>
<p>The most prevalent climate-related challenges were floods and thunderstorms (<italic>Strongly Agree</italic>: <italic>n</italic>&#x202F;=&#x202F;52; 44.4%) and erratic rainfall (<italic>Strongly Agree</italic>: <italic>n</italic>&#x202F;=&#x202F;47; 40.2%). By contrast, the tree mortality rate (<italic>Strongly Disagree</italic>: <italic>n</italic>&#x202F;=&#x202F;58; 49.6%), adaptation and mitigation measures, and forestry restrictions (<italic>Strongly Disagree</italic>: <italic>n</italic>&#x202F;=&#x202F;50; 42.7%) were the least notable effects. Importantly, these findings reflect community perceptions of climate challenges rather than direct meteorological measures).</p>
</sec>
<sec id="sec14">
<label>3.8</label>
<title>Proposed improvements</title>
<p>Our study highlighted the recommended solutions to address the existing challenges facing the socioeconomic benefits of <italic>C. mopane</italic> (<xref ref-type="table" rid="tab3">Table 3</xref>) and maximise the potential socioeconomic benefits (<xref ref-type="fig" rid="fig7">Figure 7</xref>).</p>
<fig position="float" id="fig7">
<label>Figure 7</label>
<caption>
<p>Recommended solutions to maximise socioeconomic benefits of <italic>C. mopane.</italic></p>
</caption>
<graphic xlink:href="ffgc-08-1610409-g007.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Radar chart displaying five factors: processing materials, access to markets, financial support, wood processing training, and charcoal production training. The green area represents the levels, with higher coverage under processing materials and wood processing training.</alt-text>
</graphic>
</fig>
<p>Most respondents expressed that training in wood processing (30%) was the most important area that needed prioritisation. The second most critical areas recommended for improvement were access to markets (26%) and financial support (25%). Processing materials (for forest products) (19%) was the least significant recommendation made by the respondents.</p>
</sec>
</sec>
<sec sec-type="discussion" id="sec15">
<label>4</label>
<title>Discussion</title>
<p>Forests continue to support the livelihoods of e livelihoods of disadvantaged indigenous communities that are forest dependent (<xref ref-type="bibr" rid="ref27">Nakanyete et al., 2023</xref>). On the global level, it was estimated that approximately 1.14 billion (71.3%) people from low- to middle-income countries live in or around forests where they can derive some benefits from forest products (<xref ref-type="bibr" rid="ref29">Newton et al., 2020</xref>). The same is true for the rural communities within the <italic>C. mopane</italic> woodlands in the Kunene and Omusati regions of the northern part of Namibia.</p>
<p><italic>Colophospermum mopane</italic> is a unique tree/shrub species with strong adaptation characteristics to dry conditions (<xref ref-type="bibr" rid="ref12">Krug, 2017</xref>; <xref ref-type="bibr" rid="ref38">Teshirogi et al., 2017</xref>). Therefore, the species is valuable for ecological and socioeconomic benefits. The species supports local communities&#x2019; livelihoods in many ways (<xref ref-type="bibr" rid="ref17">Madzibane and Potgieter, 1999</xref>; <xref ref-type="bibr" rid="ref31">Nikodemus et al., 2023</xref>; <xref ref-type="bibr" rid="ref41">Vrabcov&#x00E1; et al., 2019</xref>). However, like other plant species, the feasibility of the socioeconomic benefits of <italic>C. mopane</italic> is affected by several factors (<xref ref-type="bibr" rid="ref5">Blanco et al., 2021</xref>), including climate change. For example, the notable changes have several impacts on forest ecosystems through the extinction of species (including plants and animals), long-term growth and fluctuations of seasons and changes in forest fires (<xref ref-type="bibr" rid="ref34">Saffa et al., 2024</xref>). In this current study, we assess the feasibility of the socioeconomic benefits of this valuable species under the changing climate in north-central Namibia.</p>
<p>Our results showed a wide range of products that local communities can extract from <italic>C. mopane</italic>. Local communities extract products such as firewood, poles/droppers, woodcraft, bark-ropes, and mopane worms (<xref ref-type="fig" rid="fig2">Figure 2A</xref>) from <italic>C. mopane</italic>. Firewood, for example, is critically important in rural areas (villages) without electricity. Poles and droppers are significant construction and fencing materials for the homesteads and fencing of crop fields and livestock kraals (<xref ref-type="table" rid="tab4">Table 4</xref>).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Climate-related challenges (<italic>n</italic>&#x202F;=&#x202F;117).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Climate change-related challenges</th>
<th align="center" valign="top" colspan="2">Agree</th>
<th align="center" valign="top" colspan="2">Strongly agree</th>
<th align="center" valign="top" colspan="2">N/A</th>
<th align="center" valign="top" colspan="2">Disagree</th>
<th align="center" valign="top" colspan="2">Strongly disagree</th>
<th align="center" valign="top" colspan="2">Total</th>
</tr>
<tr>
<th align="center" valign="top">
<italic>n</italic>
</th>
<th align="center" valign="top">%</th>
<th align="center" valign="top">
<italic>n</italic>
</th>
<th align="center" valign="top">%</th>
<th align="center" valign="top">
<italic>n</italic>
</th>
<th align="center" valign="top">%</th>
<th align="center" valign="top">
<italic>n</italic>
</th>
<th align="center" valign="top">%</th>
<th align="center" valign="top">
<italic>n</italic>
</th>
<th align="center" valign="top">%</th>
<th align="center" valign="top">
<italic>n</italic>
</th>
<th align="center" valign="top">%</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Prolonged hot and dry seasons resulting in a high mortality rate for <italic>C. mopane</italic> (hot weather/temperatures, fires, pests, and diseases</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">9.4</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">13.7</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">4.3</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">23.1</td>
<td align="center" valign="top">58</td>
<td align="center" valign="top">49.6</td>
<td align="center" valign="top">117</td>
<td align="center" valign="top">100</td>
</tr>
<tr>
<td align="left" valign="top">Erratic rainfalls resulted in the stunted growth of <italic>C. mopane</italic></td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">21.4</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">40.2</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">4.3</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">12.0</td>
<td align="center" valign="top">26</td>
<td align="center" valign="top">22.2</td>
<td align="center" valign="top">117</td>
<td align="center" valign="top">100</td>
</tr>
<tr>
<td align="left" valign="top">Floods and thunderstorms cause severe damage to the forests</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">16.2</td>
<td align="center" valign="top">52</td>
<td align="center" valign="top">44.4</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">7.7</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">11.1</td>
<td align="center" valign="top">24</td>
<td align="center" valign="top">20.5</td>
<td align="center" valign="top">117</td>
<td align="center" valign="top">100</td>
</tr>
<tr>
<td align="left" valign="top">Climate change adaptation and mitigation measures have tightened restrictions on accessing forestry resources</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">16.2</td>
<td align="center" valign="top">22</td>
<td align="center" valign="top">18.8</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">7.7</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">14.5</td>
<td align="center" valign="top">50</td>
<td align="center" valign="top">42.7</td>
<td align="center" valign="top">117</td>
<td align="center" valign="top">100</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>This is no surprise, as several studies have indicated that the local rural communities in many developing countries depend heavily on forests for their livelihoods (<xref ref-type="bibr" rid="ref30">Nikodemus and H&#x00E1;jek, 2015</xref>; <xref ref-type="bibr" rid="ref36">Shahi et al., 2022</xref>; <xref ref-type="bibr" rid="ref42">Wunder et al., 2014</xref>). However, our results showed that firewood and poles/droppers were the most significant products of the species. The species has strong wood, making it suitable for multiple uses (<xref ref-type="bibr" rid="ref17">Madzibane and Potgieter, 1999</xref>; <xref ref-type="bibr" rid="ref24">Musvoto et al., 2006</xref>), including firewood and poles/droppers. Furthermore, it has been established that <italic>C. mopane</italic> is a good source of firewood, and it is commonly preferred for this purpose in most rural communities (<xref ref-type="bibr" rid="ref17">Madzibane and Potgieter, 1999</xref>). It is also worth highlighting that the dominance of firewood as a product type of <italic>C. mopane</italic> is attributed to the poor electrification in most rural areas of north-central Namibia. It has been reported that a significant 70%&#x2013;80% of Namibia&#x2019;s rural households remain unelectrified (<xref ref-type="bibr" rid="ref22">Mpako and Ndoma, 2024</xref>).</p>
<p>Forests contribute to the rural livelihoods and economy in a number of ways: directly as a user of land and resources (<xref ref-type="bibr" rid="ref37">Slee, 2004</xref>). This overwhelming reliance on mopane for subsistence (89%) highlights the resource&#x2019;s role as a safety net for rural households, consistent with findings in Botswana (<xref ref-type="bibr" rid="ref21">Mogotsi et al., 2022</xref>). However, such dependence also underscores vulnerability to climate-related declines, as no equivalent substitute exists on this scale. This implies that the commercialisation of forest products was low. Several factors may have contributed to the poor commercialisation of the products. For example, <italic>C. mopane</italic> is registered as a protected species in Namibia (<xref ref-type="bibr" rid="ref13">Laws Africa, 2015</xref>). This implies that to ensure sustainability, forestry policies and legislation restrict the utilisation of its products (<xref ref-type="bibr" rid="ref8">Hinz and Ruppel, 2022</xref>; <xref ref-type="bibr" rid="ref31">Nikodemus et al., 2023</xref>). Forestry restriction measures in the harvesting and use of the products significantly influence the products&#x2019; source. This study discovered that local communities mainly harvest <italic>C. mopane</italic> products from family crop fields (<xref ref-type="fig" rid="fig3">Figure 3A</xref>). All these factors, and possibly many others, resulted in poor income generation from <italic>C. mopane</italic> products. Our results showed that income generated throughout the study period (2010&#x2013;2022) was relatively low, ranging from &#x003C;1,000 to 5,000 NAD per sale (<xref ref-type="fig" rid="fig4">Figure 4A</xref>).</p>
<p>Although the results did not highlight the factors associated with poor commercialisation, it is worth pointing out that climatic conditions, slow growth rates, harvesting restriction measures, limited resources and high desertification rates could have affected the poor commercialisation of the products. The harvesting restrictions, in particular, are emphasised due to the escalating loss of biodiversity through deforestation and forest degradation processes, which is a major development challenge in most developing countries (<xref ref-type="bibr" rid="ref10">Kamanga et al., 2009</xref>). Furthermore, a full cost&#x2013;benefit or enterprise analysis was not attempted due to a lack of detailed expenditure and labour input data. Future research should address this gap.</p>
<p>Furthermore, the study revealed that access to the market was one of the significant recommendations made by the respondents to maximise the feasibility of the socioeconomic benefits of <italic>C. mopane</italic> (<xref ref-type="fig" rid="fig7">Figure 7</xref>). This concurs with the literature, revealing that poor access to the market is among the factors affecting livelihood incomes in other developing countries, for example, Cambodia (<xref ref-type="bibr" rid="ref6">Felkner et al., 2022</xref>). Hence, local communities primarily use the products for household needs (subsistence). However, the results further indicate that the insignificant commercialisation of <italic>C. mopane</italic> products is mainly practiced in informal markets (<xref ref-type="fig" rid="fig3">Figure 3B</xref>). In the same view, due to poor access to the market, local communities use informal markets to sell their products. This includes selling points such as door-to-door and farm gates (<xref ref-type="fig" rid="fig5">Figure 5B</xref>).</p>
<p>To contextualise perceptions, regional studies confirm declining rainfall and increasing variability in north-central Namibia (<xref ref-type="bibr" rid="ref4">Awala et al., 2019</xref>; <xref ref-type="bibr" rid="ref9">Inman et al., 2020</xref>). However, since our analysis relied on perceptions, caution is needed when interpreting causality between climate variables and mopane benefits.</p>
</sec>
<sec sec-type="conclusions" id="sec16">
<label>5</label>
<title>Conclusion</title>
<p>Our finding that 89% of mopane is used for subsistence (<xref ref-type="fig" rid="fig2">Figure 2B</xref>) suggests that policies should prioritise household energy alternatives, such as solar cookers, to reduce firewood dependence. Similarly, since 50% of respondents earned &#x003C;NAD 5,000 annually from mopane (<xref ref-type="table" rid="tab2">Table 2</xref>), expanding market access and training (<xref ref-type="fig" rid="fig7">Figure 7</xref>) is directly aligned with income diversification needs. Importantly, culturally acceptable alternatives, such as marula (<italic>Sclerocarya birrea</italic>) products and agroforestry with indigenous species, should be promoted rather than generic substitutions.</p>
<p>Furthermore, our results highlight several climate-related challenges that have potentially severe long-term effects on the forest products of <italic>C. mopane</italic>. These climate-related challenges, such as erratic rainfall and tree mortality rates (<xref ref-type="bibr" rid="ref15">Lindner et al., 2010</xref>), provide evidence of the effects of climate change on the socioeconomic benefits of <italic>C. mopane</italic>. Given these potential effects, it will be safer to implement measures to discourage the dependence of local communities on mopane products.</p>
<p>It has been established that there is increasing pressure on and declining mopane woodlands as a result of increasing use and competition for <italic>C. mopane</italic> resources in Namibia (<xref ref-type="bibr" rid="ref24">Musvoto et al., 2006</xref>). In the same view, it is worth highlighting that the expanding human population exerts pressure on the forest ecosystems (<xref ref-type="bibr" rid="ref1">Alam et al., 2024</xref>; <xref ref-type="bibr" rid="ref33">Rodrigues et al., 2016</xref>). However, more studies are critically required to appropriately quantify the demands and risks of using woody products in mopane woodlands.</p>
<p>Therefore, our study recommends that, in collaboration with relevant stakeholders, including researchers, traditional authorities and potential donor funders, MEFT may intensify efforts to educate rural communities on the negative effects of relying on forest products for socioeconomic benefits. Furthermore, priority may be given to alternatives, such as solar energy for cooking, lighting and heating, and bricks for construction. Regarding income generation, communities may be encouraged through well-monitored support to plant and sell tree seedlings, such as fruit trees, including <italic>Berchemia discolour, Sclerocarya birrea</italic> (marula tree), and other native tree species, such as <italic>Terminalia</italic> spp.<italic>, Combretum</italic> spp., and timber species (<italic>Baikiaea plurijuga, Burkea Africana, Guibourtia coleosperma</italic>, and <italic>Pterocarpus angolensis</italic>), instead of harvesting products from mature trees, which leads to desertification. To reduce the pressure on forests, we further recommend that local communities should be supported and encouraged to engage in agroforestry and tree planting projects, as well as the cultivation of drought-resistant crops. This approach will restore forests, and the effects of climate change will be minimised. We recommend that future studies assess the effectiveness of climate change adaptation and mitigation measures in managing forest resources and utilisation in mopane woodlands.</p>
<p>Several minor limitations exist in this study. First, due to the lack of long-term climatic data, our current study did not quantify the extent to which climate change affects socioeconomic benefits. However, our results show that the socioeconomic benefits of <italic>C. mopane</italic> are viable to some extent under the changing climate. Furthermore, our study could have provided strong evidence of the effects of climate change on forest ecosystem services, particularly on the socioeconomic benefits of <italic>C. mopane</italic>. However, unlike integrated climate-socioeconomic studies, we did not statistically link climatic time-series data to household outcomes. Therefore, this paper should be framed as primarily a socioeconomic baseline with climate perceptions, rather than a climate-impact attribution study. It is also worth highlighting that the lack of long-term climatic data resulted in the exclusion of a correlation between climatic time-series data and household outcomes. We assessed climate-related effects such as erratic rainfalls and tree mortality rates to address this challenge. Furthermore, using a self-administered questionnaire may reduce the reliability of the collected data due to social bias. We made the questionnaire anonymous to alleviate this bias and emphasised this aspect during the administration of the survey items. Lastly, despite the efforts to explain the main concepts and goals of the study, some parts of the questionnaire were incomplete due to the low level of education among the respondents. However, since our sample size was significantly representative, we obtained ample responses, and the data obtained for each question could yield reliable results.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec17">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="sec18">
<title>Ethics statement</title>
<p>The studies involving humans were approved by National Commission on Research Science and Technology of Namibia (Permit No. RPIV13322022). The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants.</p>
</sec>
<sec sec-type="author-contributions" id="sec19">
<title>Author contributions</title>
<p>AnN: Methodology, Writing &#x2013; original draft, Investigation, Data curation, Visualization, Software, Writing &#x2013; review &#x0026; editing, Conceptualization. MH: Validation, Conceptualization, Supervision, Project administration, Resources, Writing &#x2013; review &#x0026; editing, Funding acquisition. DB: Visualization, Writing &#x2013; original draft, Investigation, Conceptualization, Methodology, Formal analysis. NW: Writing &#x2013; review &#x0026; editing, Methodology, Investigation, Formal analysis, Software. EM: Investigation, Writing &#x2013; review &#x0026; editing, Methodology. PN: Writing &#x2013; original draft, Conceptualization, Methodology. AlN: Conceptualization, Writing &#x2013; review &#x0026; editing, Validation, Investigation. RS: Writing &#x2013; review &#x0026; editing, Conceptualization, Validation.</p>
</sec>
<sec sec-type="funding-information" id="sec20">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the Operational Program Research, Development, and Education, the Ministry of Education, Youth, and Sports of the Czech Republic grant no. CZ.02.1.01/0.0/0.0/16_019/0000803.</p>
</sec>
<ack>
<p>We would like to acknowledge the financial support from the Faculty of Forestry and Wood Sciences (FFWS) of the Czech University of Life Sciences Prague (&#x010C;ZU in Prague). We further acknowledge the support from forestry experts stationed in the Omusati and Kunene regions.</p>
</ack>
<sec sec-type="COI-statement" id="sec21">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec22">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec23">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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