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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Ecol. Evol.</journal-id>
<journal-title>Frontiers in Ecology and Evolution</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Ecol. Evol.</abbrev-journal-title>
<issn pub-type="epub">2296-701X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fevo.2025.1498429</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Ecology and Evolution</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Patterns of mature woody plant species encroachment on vegetation structure, density, and diversity of the understory layer across the Marikana Thornveld</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Mangwane</surname>
<given-names>Mziwanda</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2845735/overview"/>
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<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
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<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Madakadze</surname>
<given-names>Ignacio Casper</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Tjelele</surname>
<given-names>Tlou Julius</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Ramoelo</surname>
<given-names>Abel</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/533592/overview"/>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of Plant and Soil Sciences, University of Pretoria</institution>, <addr-line>Pretoria</addr-line>, <country>South Africa</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Range and Forage Division, Agricultural Research Council (ARC)</institution>, <addr-line>Irene, Pretoria</addr-line>, <country>South Africa</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Leonardo Montagnani, Free University of Bozen-Bolzano, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Dongjie Zhang, Shandong University of Aeronautics, China</p>
<p>Zerihun Kebebew, Jimma University, Ethiopia</p>
<p>Teshome Beza, Hawassa University, Ethiopia</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Mziwanda Mangwane, <email xlink:href="mailto:u14387027@tuks.co.za">u14387027@tuks.co.za</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>06</day>
<month>05</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>13</volume>
<elocation-id>1498429</elocation-id>
<history>
<date date-type="received">
<day>18</day>
<month>09</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>31</day>
<month>03</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Mangwane, Madakadze, Tjelele and Ramoelo</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Mangwane, Madakadze, Tjelele and Ramoelo</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>
<sec>
<title>Introduction</title>
<p>Bush encroachment has a negative impact on the vegetation structure, ecosystem functions, and services of savanna rangelands. Woody plant encroachment creates an imbalance in the grass-to-tree ratio, leading to a decline in ecosystem services, including grazing capacity and soil nutrients.</p>
</sec>
<sec>
<title>Methods</title>
<p>This study aimed to evaluate the vegetation structure, diversity, and relationships of tree species across four different growth stages in the Marikana Thornveld. Three sites were identified at the Roodelpaat experimental farm, where six 1-hectare plots were established. In each plot, nine 10 m &#xd7; 10 m subplots were set up to identify mature woody plants, shrubs, and saplings. Seedlings were identified within three 1.69 m&#xb2; quadrats nested within each subplot.</p>
</sec>
<sec>
<title>Results and discussion</title>
<p>The study identified a total of 9,028 individual woody plants, including 158 seedling species, 161 saplings, 159 shrubs, and 154 mature woody plant species. The regression line plotted seedling density against the densities of mature trees, shrubs, and saplings, with b values significantly less than 1, indicating a negative impact of mature trees, shrubs, and saplings on the seedling layer. Seedling abundance displayed a non-linear relationship with mature trees, indicating a 4.75% representation of seedling abundance within the mature tree layer. Woody seedling species exhibited the highest abundance across four growth stages. Overall, across all woody plant species at different growth stages, there was a general decline in the woody density class, resulting in a J-shaped curve pattern. Seedlings and mature trees exhibited the highest diameter at breast height (dbh) proportions among individual woody plants from the first to the third DBH size classes, followed by a decline.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Generally, these results highlight a weak relationship between mature woody plant species and the understory layer, including shrubs, saplings, and seedlings. Consequently, mature woody plants cannot predict the establishment of understory woody plants or the recruitment of seedlings as a cause of bush encroachment.</p>
</sec>
</abstract>
<kwd-group>
<kwd>species density</kwd>
<kwd>tree growth stages</kwd>
<kwd>vegetation structure</kwd>
<kwd>patterns of woody species</kwd>
<kwd>diversity indices</kwd>
</kwd-group>
<counts>
<fig-count count="7"/>
<table-count count="4"/>
<equation-count count="6"/>
<ref-count count="72"/>
<page-count count="15"/>
<word-count count="7138"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Models in Ecology and Evolution</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<sec id="s1_1">
<label>1.1</label>
<title>Background</title>
<p>Woody plant encroachment has been increasing worldwide for centuries at varying rates across different continents. Moreover, this has led to an alarming negative effect on the grassland-savanna biome (<xref ref-type="bibr" rid="B50">Sala and Maestre, 2014</xref>; <xref ref-type="bibr" rid="B55">Stevens et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B5">Archer et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B18">Garc&#xed;a Criado et&#xa0;al., 2020</xref>). Not fully acknowledging the role of human activities has led to a significant loss of the grassland-savanna biome (<xref ref-type="bibr" rid="B47">Ripley et&#xa0;al., 2022</xref>). Ecosystem degradation due to woody plant encroachment is a widespread issue in savanna ecosystems and requires thorough scientific investigation by rangeland ecologists (<xref ref-type="bibr" rid="B8">Belay et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B17">Ellis et&#xa0;al., 2019</xref>). The rise of woody plant encroachment in open savannas decreases grazing carrying capacity and subsequently affects grazing animals (<xref ref-type="bibr" rid="B31">Kimaro et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B21">Hare et&#xa0;al., 2020</xref>). This is because increased woody plant encroachment is typically characterized by thorny and unpalatable species, which are not favored by browsing animals (<xref ref-type="bibr" rid="B30">Kgosikoma and Mogotsi, 2013</xref>). Thus, in some areas, the savanna biome has transformed into a thicket-like biome due to the encroachment of woody plant species (<xref ref-type="bibr" rid="B31">Kimaro et&#xa0;al., 2019</xref>). The rapid encroachment of woody plants into savanna rangelands has been reported as a significant indirect threat to profitable beef enterprises based on natural rangelands (<xref ref-type="bibr" rid="B15">Dalle et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B33">Lunt et&#xa0;al., 2010</xref>).</p>
<p>Several studies on woody plant encroachment have previously focused on biotic and abiotic factors, either individually or in combination, to understand the main contributors to this phenomenon (<xref ref-type="bibr" rid="B23">Holdrege et&#xa0;al., 2021</xref>). The areas most impacted by the encroachment of woody plant species are rangelands primarily utilized as grazing lands for livestock and/or game animals, owing to their grass cover and tree species that are acceptable for grazing and browsing animals (<xref ref-type="bibr" rid="B30">Kgosikoma and Mogotsi, 2013</xref>). Consequently, the quality of rangelands has deteriorated because of overgrazing, inadequate management practices, and the impacts of climate change (<xref ref-type="bibr" rid="B45">Ratajczak et&#xa0;al., 2011</xref>). Alterations in vegetation structure and species composition impact the sustainability of livestock production and ecosystem services (<xref ref-type="bibr" rid="B38">Mussa et&#xa0;al., 2016</xref>). Additionally, rangeland degradation due to bush encroachment seems to weaken ecosystem integrity and reduce grazing capacity (<xref ref-type="bibr" rid="B52">Sankaran et al., 2008</xref>). Once 75% of the total of the savanna rangeland is covered by woody plant species, that rangeland is declared bush encroached (<xref ref-type="bibr" rid="B43">Oba et&#xa0;al., 2000</xref>; <xref ref-type="bibr" rid="B11">Bond and Midgley, 2001</xref>; <xref ref-type="bibr" rid="B28">Kellner et&#xa0;al., 2022</xref>).</p>
<p>Encroaching woody plant species may include native trees and/or shrubs that inhabit grasslands and savanna grazing areas (<xref ref-type="bibr" rid="B30">Kgosikoma and Mogotsi, 2013</xref>). In South Africa, bush encroachment has reached a scale that demands scientific intervention (<xref ref-type="bibr" rid="B41">O&#x2019;Connor and Chamane, 2012</xref>). <xref ref-type="bibr" rid="B32">Kraaij and Ward (2006)</xref> reported that the extent of bush encroachment in South Africa has reached an alarming level, with approximately 20 million hectares of land declared as bush encroached by woody plant species. Additionally, <xref ref-type="bibr" rid="B22">Higgins and Scheiter (2012)</xref> and <xref ref-type="bibr" rid="B36">Moncrieff et&#xa0;al. (2014)</xref> reported similar findings, indicating that bush encroachment is one of the most recognized rangeland issues in South Africa, particularly in the savanna regions. This problem is likely to escalate further over time, depending on the measures taken to reverse its aggressive inversion in savanna regions. As part of restoration programs, new technologies have been integrated with traditional rangeland techniques used in the long-term monitoring of these areas. <xref ref-type="bibr" rid="B25">Hudak and Wessman (1998)</xref> demonstrated a technique for mapping bush densities across a savanna landscape using historical aerial photographs from 1955, 1970, and 1984 to understand the factors that could be driving bush density in savanna rangelands.</p>
<p>However, restoring and rehabilitating areas affected by bush encroachment require advanced technologies to monitor changes in vegetation, especially given the impact that bush encroachment has on savanna rangelands (<xref ref-type="bibr" rid="B35">Maphanga et&#xa0;al., 2022</xref>). Currently, rangeland assessment and monitoring primarily rely on comparing the existing species composition to an expected successional end-state defined by the ecological condition of the site (<xref ref-type="bibr" rid="B14">D&#x2019;Odorico et&#xa0;al., 2012</xref>). For instance, historically, rangeland assessment and monitoring have primarily relied on fieldwork-based surveys, which are often time-consuming, costly, and occasionally inaccurate (<xref ref-type="bibr" rid="B39">Mutanga et&#xa0;al., 2016</xref>). These methods frequently require specialized technicians to perform laboratory analyses of plant and soil chemicals in order to assess forage quality. (<xref ref-type="bibr" rid="B72">Zhao et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B71">Zhang et al., 2016</xref>). Therefore, an integrated assessment that utilizes satellite remote sensing techniques along with fieldwork methods is essential (<xref ref-type="bibr" rid="B26">Jindo et&#xa0;al., 2021</xref>). These techniques aim to offer significant guidelines for monitoring savanna rangelands affected by woody plant species and to ensure sustainable management that enhances savanna rangeland productivity. Therefore, it is essential to have skills in remote sensing tools and ecology in order to provide valuable support to policymakers. This enhances the savanna&#x2019;s carrying capacity and investigates the dynamics of woody plant species and ecosystem properties in a cost-effective manner.</p>
<p>The study focuses on assessing woody vegetation to analyze the effects and dynamics of bush encroachment in savanna rangelands. This is to examine the changes in vegetation that lead to bush encroachment and its relationship with understory establishment. Subsequently, the data from this study are also valuable for validating the predictions of existing models that forecast savanna rangeland productivity after bush encroachment. Moreover, despite the negative ecological impacts of bush encroachment, there have been very few studies examining how woody plant encroachment affects the successful development of the understory woody plant layer and its relationship with mature trees (<xref ref-type="bibr" rid="B5">Archer et&#xa0;al., 2017</xref>). Thus, this study aims to highlight the intraspecific interactions among woody plant species in the Marikana Thornveld.</p>
</sec>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Study site</title>
<p>The study was conducted at the Roodeplaat Experimental Farm (25&#xb0;36&#x2032;S, 29&#xb0;2&#x2019;08&#x2032;E, altitude 1,182 m) of the Agricultural Research Council (ARC), which encompasses over 2,067 hectares of natural vegetation outside Pretoria, South Africa (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). The average rainfall is 687 mm, with the most rainfall occurring during austral summer (November to February). The daily maximum summer temperature ranges from 20&#xb0;C to 29&#xb0;C, while the winter temperature can range from 2&#xb0;C to 16&#xb0;C. The soil types in the study area consist of <italic>vertisols, ferralsols</italic>, and <italic>luvisols</italic>. The vegetation type of the study site is Marikana Thornveld, characterized by open <italic>Vachellia karroo</italic> and <italic>Senegalia caffra</italic> veld types (<xref ref-type="bibr" rid="B37">Mucina and Rutherford, 2006</xref>). The farm is primarily dominated by the tree species <italic>Vachellia karroo, Senegalia caffra, Ziziphus mucronata</italic>, and <italic>Combretum zeyheri.</italic> The most dominant grass species include <italic>Panicum maximum, Setaria</italic> sp<italic>hacelata, Digitaria eriantha, Themeda triandra, Heteropogon contortus</italic>, and several weak annual species such as <italic>Aristida congesta subspecies congesta</italic>, and <italic>subspecies barbicollis</italic> (<xref ref-type="bibr" rid="B66">van Rooyen, 1983</xref>). On the farm, three sites were designated to evaluate the composition of woody species and the changing patterns of these species on the farm. All three sites were marked within heavily encroached areas where the density of woody plants exceeded the acceptable threshold of 2,500 plants per hectare, displaying a similar species composition. Invasive alien plant species are found in high densities in localized areas, especially along drainage lines. The common invasive plants in the study area include <italic>Tagetes minuta, Bidens pilosa, Lantana camara</italic>, and <italic>Pontederia crassipes</italic> (<xref ref-type="bibr" rid="B48">Rutherford and Powrie, 2012</xref>). The study site has only been grazed and browsed by a very small number of antelopes, such as <italic>Tragelaphus strepsiceros.</italic>
</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>The map displays the location of the Roodeplaat Experimental Farm, which covers an area of 2,067 hectares in Gauteng Province, South Africa, just outside Pretoria. In the bottom right corner, there is a Google Map image of the study area at Roodeplaat, with three sites represented by red squares on the map.</p>
</caption>
<alt-text>A multi-panel figure showing sampling locations in South Africa. The top left map highlights South Africa&#x2019;s provinces, with a zoomed inset pointing to Roodeplaat in Gauteng. A detailed satellite image on the right shows rectangular sampling blocks outlined in red within a forested area, illustrating the sampling design. A text box labeled &#x201c;Sampling blocks&#x201d; notes that further design details are shown in figure 2.</alt-text>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-13-1498429-g001.tif"/>
</fig>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Data collection</title>
<sec id="s2_2_1">
<label>2.2.1</label>
<title>Study design</title>
<p>For this study, vegetation assessments were conducted during the growing season from October 2020 to February 2022. Three bush-encroached sites measuring 320 m &#xd7; 223 m were randomly selected. A completely randomized design (CRD) was conducted using aerial photographs downloaded from the United States Geological Survey Earth Explorer from 2020, focusing on three sites measuring 320 m &#xd7; 223 m that depicted areas affected by bush encroachment. All three sites featured comparable woody vegetation types, similar soil nutrient compositions, and alike topography. The sites were chosen based on aerial photographs and the degree of encroachment by woody plant species. Coordinates were recorded to position the sites on the ground. Three sites were randomly chosen and six 1-hectare plots per site were marked based on their level of encroachment. In each of the six 100 m &#xd7; 100 m plots across the three sites, nine 10 m &#xd7; 10 m subplots were established for identifying woody plant species, including mature trees, shrubs, and saplings. In each of the nine 10 m &#xd7; 10 m subplots, three 1.3 m &#xd7; 1.3 m quadrats were placed in the corner, center, and opposite corner for woody seedling identification (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). All woody plants within these 10 m &#xd7; 10 m subplots were identified. Four growth stages of woody plant species based on maximum height were measured, and snag/rotting logs for which the original height was not known were excluded. In each subplot, tree height, density/abundance, and stem diameter parameters were measured. All unknown woody plant species encountered during identification were further examined by ecologists, and a few unidentified individual plant specimens were sent to the South African National Biodiversity Institute (SANBI) herbarium for additional identification. Subsequently, all woody plant species were identified. However, individual woody plants and seedlings without leaves were excluded from this study.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Sampling design for assessing woody species in the Marikana Thornveld at the Roodeplaat Experimental Farm outside Pretoria.</p>
</caption>
<alt-text>A schematic diagram of a 320 meter by 223 meter sampling block divided into six 100 meter by 100 meter subplots, each containing a grid of rectangular sampling units. Red squares represent 1.3 meter by 1.3 meter quadrats placed in the top-left unit of each subplot, with varying densities labeled as 0 percent, 25 percent, 50 percent, 75 percent, and 100 percent.</alt-text>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-13-1498429-g002.tif"/>
</fig>
</sec>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Data analysis</title>
<sec id="s2_3_1">
<label>2.3.1</label>
<title>Assessment of wood plant species vegetation</title>
<p>Woody plants were systematically categorized into different height classes to classify age groups. This was followed by calculating the diversity, richness, and evenness of the woody species. Seedlings &#x2264; 0.3 m in height and with a diameter at breast height (DBH) of less than 1.0 to &#x2264; 2.50 cm were identified and measured within each 1.69 m&#xb2; quadrat. Saplings, shrubs, and mature woody plants were also measured, with a DBH of &#x2265; 2.50 cm, and heights ranging from &#x2265; 0.3 to 2 m for saplings, &gt; 2 to 3.5 m for shrubs, and &gt; 3.5 to 10 m for mature trees. All individual woody species with a DBH greater than 5 cm were sampled within the 10 m &#xd7; 10 m sub-plots using a measuring tape, a 4-m calibrated measuring rod, and forestry 550 hypsometers for trees over 4 m (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>) (<xref ref-type="bibr" rid="B65">van der Maarel, 1979</xref>). The variation in species abundance among the seedling layer, mature trees, shrubs, and sapling tree species was assessed. We modeled the relationship between seedling abundance and the abundance of mature trees, shrubs, and saplings.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Growth stages of woody plants, organized by height class.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Growth stage</th>
<th valign="top" align="left">Height class (m)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<italic>Seedlings</italic>
</td>
<td valign="top" align="left">&lt; 0.3</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Saplings</italic>
</td>
<td valign="top" align="left">&gt; 0.3 - 2</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Shrubs</italic>
</td>
<td valign="top" align="left">&gt; 2 &#x2013; 3.5</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Mature trees</italic>
</td>
<td valign="top" align="left">&gt; 3.5 &#x2013; 10</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The relationship between woody seedlings and mature trees, shrubs, and sapling tree woody species abundance was assessed through regression analysis using <xref ref-type="disp-formula" rid="eq1">Equation 1</xref> as:</p>
<disp-formula id="eq1">
<label>(1)</label>
<mml:math display="block" id="M1">
<mml:mrow>
<mml:mi>S</mml:mi>
<mml:mo>=</mml:mo>
<mml:mi>a</mml:mi>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mo>*</mml:mo>
<mml:mtext>&#xa0;</mml:mtext>
<mml:msup>
<mml:mi>R</mml:mi>
<mml:mi>b</mml:mi>
</mml:msup>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where <italic>S</italic> is the number of identified woody seedlings, <italic>R</italic> is the number of mature trees in the 2020&#x2013;2022 census and &#x3b1; is the mean abundance-independent seedling abundance per mature trees, shrub, and sapling tree abundance while <italic>b</italic> captures the effect of species abundance on per capita seedling abundance. This means that if the <italic>b</italic> value is equal to 1, there is no effect of mature trees, shrubs, and sapling tree abundance on seedling abundance. If <italic>b</italic> is less than 1, it indicates a negative effect; however, a <italic>b</italic> value greater than 1 indicates a positive effect of mature trees, shrubs, and sapling trees on seedling abundance. This means that an increase in the abundance of mature trees, shrubs, and saplings leads to an increase in woody seedling abundance, resulting in a positive effect. Conversely, a decrease has a negative effect. The power function &#x201c;<italic>b</italic>&#x201d; was determined by log-transforming both sides of <xref ref-type="disp-formula" rid="eq1">Equation 1</xref> to create a straight-line <xref ref-type="disp-formula" rid="eq2">Equation 2</xref>:</p>
<disp-formula id="eq2">
<label>(2)</label>
<mml:math display="block" id="M2">
<mml:mrow>
<mml:mi>log</mml:mi>
<mml:mo stretchy="false">(</mml:mo>
<mml:mi>S</mml:mi>
<mml:mo stretchy="false">)</mml:mo>
<mml:mo>=</mml:mo>
<mml:mi>log</mml:mi>
<mml:mo stretchy="false">(</mml:mo>
<mml:mi>&#x3b1;</mml:mi>
<mml:mo stretchy="false">)</mml:mo>
<mml:mo>+</mml:mo>
<mml:mi>b</mml:mi>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mo>*</mml:mo>
<mml:mi>log</mml:mi>
<mml:mo stretchy="false">(</mml:mo>
<mml:mi>R</mml:mi>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:math>
</disp-formula>
<p>The linear regression analyses were performed using SigmaPlot 13.0 (<xref ref-type="bibr" rid="B58">Systat Software, 2013</xref>).</p>
<p>We calculated estimates of diversity for the seedling layer and for all saplings, shrubs, and mature trees. Collected data were analyzed to calculate the species richness index and alpha diversity indices. As a measure of evenness, we calculated the Shannon&#x2013;Wiener probability of intraspecific encounter (<xref ref-type="bibr" rid="B54">Shannon and Wiener, 1963</xref>), which is related to rarefaction and is also independent of sample size (<xref ref-type="bibr" rid="B44">Olszewski, 2004</xref>).</p>
</sec>
<sec id="s2_3_2">
<label>2.3.2</label>
<title>Woody plant species diversity</title>
<p>The diversity of woody plant species was calculated using the Shannon&#x2013;Wiener diversity index formula using <xref ref-type="disp-formula" rid="eq3">Equation 3</xref>.</p>
<disp-formula id="eq3">
<label>(3)</label>
<mml:math display="block" id="M3">
<mml:mrow>
<mml:mi>H</mml:mi>
<mml:mo>'</mml:mo>
<mml:mo>=</mml:mo>
<mml:mo>&#x2212;</mml:mo>
<mml:msubsup>
<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:mi>i</mml:mi>
<mml:mo>=</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mi>S</mml:mi>
</mml:msubsup>
<mml:mi>P</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>l</mml:mi>
<mml:mi>n</mml:mi>
<mml:mi>P</mml:mi>
<mml:mi>i</mml:mi>
</mml:mrow>
</mml:math>
</disp-formula>
<p>Here <italic>H&#x2019;</italic> is the Shannon&#x2013;Weiner diversity index, S is the species richness, P<italic>
<sub>i</sub>
</italic> is the number of individuals of each species, and the natural logarithm of Pi<sup>th</sup> individual species. The evenness of woody species was further quantified using the Shannon&#x2013;Wiener evenness index, where J represents the species evenness using <xref ref-type="disp-formula" rid="eq4">Equation 4</xref>:</p>
<disp-formula id="eq4">
<label>(4)</label>
<mml:math display="block" id="M4">
<mml:mrow>
<mml:mtext>J</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msup>
<mml:mtext>H</mml:mtext>
<mml:mo>'</mml:mo>
</mml:msup>
</mml:mrow>
<mml:mrow>
<mml:msup>
<mml:mtext>H</mml:mtext>
<mml:mo>'</mml:mo>
</mml:msup>
<mml:mtext>maximum</mml:mtext>
</mml:mrow>
</mml:mfrac>
<mml:mo>=</mml:mo>
<mml:mstyle displaystyle="true">
<mml:msubsup>
<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:mi>i</mml:mi>
<mml:mo>=</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mi>S</mml:mi>
</mml:msubsup>
<mml:mrow>
<mml:mi>P</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>l</mml:mi>
<mml:mi>n</mml:mi>
<mml:mi>P</mml:mi>
<mml:mi>i</mml:mi>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mo stretchy="false">/</mml:mo>
<mml:mtext>&#xa0;</mml:mtext>
<mml:msup>
<mml:mtext>H</mml:mtext>
<mml:mo>'</mml:mo>
</mml:msup>
<mml:mtext>&#xa0;maximum</mml:mtext>
</mml:mrow>
</mml:mstyle>
</mml:mrow>
</mml:math>
</disp-formula>
</sec>
<sec id="s2_3_3">
<label>2.3.3</label>
<title>Vegetation structure of the Marikana Thornveld</title>
<p>The structural parameters, specifically density and diameter at breast height, were measured. The density of woody plants is used to analyze the structure of the vegetation in the Marikana Thornveld using <xref ref-type="disp-formula" rid="eq5">Equation 5</xref>:</p>
<disp-formula id="eq5">
<label>(5)</label>
<mml:math display="block" id="M5">
<mml:mrow>
<mml:mtext>D</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mtext>N</mml:mtext>
<mml:mrow><mml:mtext>A</mml:mtext></mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
<p>Here, D is the woody plant species density, N is the total number of individual woody plants, and A is the area in which woody plant species were identified. Woody plant density was calculated within 10 x 10 m subplots and subsequently extrapolated to plants per hectare. Diameter at breast height was categorized into four DBH classes and organized in ascending order to evaluate the structural patterns of the Marikana Thornveld (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). The DBH was calculated from mature woody plant species, shrubs, saplings, and seedlings by measuring the woody species&#x2019; circumferences using <xref ref-type="disp-formula" rid="eq6">Equation 6</xref>.</p>
<disp-formula id="eq6">
<label>(6)</label>
<mml:math display="block" id="M6">
<mml:mrow>
<mml:mtext>DBH</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mi>C</mml:mi>
<mml:mi>&#x3a0;</mml:mi>
</mml:mfrac>
<mml:mo>&#xa0;</mml:mo>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where DBH (in cm) is the diameter at breast height, C is the circumference, and &#x3a0; is Pi, which is equal to 3.14. Furthermore, the importance value index was calculated through summation of the following three parameters measured <italic>i.e.</italic>, relative frequency (RF), and relative density (RD) (<xref ref-type="bibr" rid="B29">Kent, 2011</xref>).</p>
</sec>
<sec id="s2_3_4">
<label>2.3.4</label>
<title>Regeneration vegetation status of younger plants (<italic>i.e.</italic> saplings and seedlings) and mature woody plants</title>
<p>The regeneration patterns of woody plant species were determined by the density ratios of all woody species size classes (<italic>i.e.</italic>, the ratio of seedlings to saplings, seedlings to shrubs, seedlings to mature trees, saplings to shrubs, saplings to mature trees, and finally shrubs to mature trees). All counts of seedlings, saplings, shrubs, and mature trees were presented in hectares.</p>
</sec>
<sec id="s2_3_5">
<label>2.3.5</label>
<title>Statistical analysis</title>
<p>All analyses were conducted using SigmaPlot statistical software. A univariate analysis was performed to test for normality and equality of variances through Shapiro&#x2013;Wilk tests. Consequently, all the datasets collected underwent Shapiro&#x2013;Wilk tests to determine if they were normally distributed; the <italic>p</italic>-value of the Shapiro&#x2013;Wilk test was greater than 0.05, indicating that the datasets were normally distributed. Before analysis, the woody plant density was log10 transformed to meet the assumptions of the analysis of variance (ANOVA) test. Data for mature woody plants, shrub density, saplings, and seedling woody plant density were log10 transformed prior to regression analysis. Mature woody plant abundance and mature tree density underwent log and log10 transformations, respectively. A one-way ANOVA was performed to assess the relationship between woody seedling plant species density and the density of mature woody plant species, shrub density, sapling density, and young (saplings and seedlings) plant density using the general linear model (GLM). The diversity of woody plant species was calculated using Fisher&#x2019;s alpha index and the Shannon&#x2013;Wiener diversity index (H&#x2032;). Species composition frequency analyses were conducted using XLSTAT software (version 2024.5, Addinsoft, New York, USA).</p>
</sec>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Representation of seedling abundance in the abundance of adult trees (mature trees and shrubs)</title>
<p>A total of 9,028 woody plant individuals were recorded, including 158 seedlings, 161 saplings, 159 shrubs, and 154 mature woody plants, in three sites measuring 320 m &#xd7; 223 m during the 2020&#x2013;2022 woody plant species survey (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). The relative abundance of adult trees (mature trees and shrub plant species) accounted for 16% of the variation in the abundance of young woody plant species (saplings and seedlings), with r&#xb2; = 0.16, p &#x2264; 0.00<italic>1</italic> (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). However, when assessing the relationship between seedling abundance and mature trees at the subplot level, the results indicated a weak correlation between seedling abundance and the abundance of mature woody plant species (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). Generally, the slope of the regression line and the correlation coefficient for seedling abundance had no impact on mature tree species abundance (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). However, when compared to adult trees (mature trees and shrub density) and young trees (sapling and seedling density), as shown in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>, there was a slight increase in the relationship among the stages of tree growth. The number of mature trees in the Marikana Thornveld represented only 4.75% of the seedling abundance (r&#xb2; = 0.0475, <italic>df</italic> = 134, <italic>p</italic> &lt; 0.0001). However, the regression line fitted for the log-transformed data was significantly less than 1, with a <italic>b</italic> value of 0.1535 representing the negative effect of mature woody plants on seedling abundance. The slope of the regression line was significantly less than 1, indicating that the number of seedlings per mature tree declines with increasing reproductive mature tree abundance (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>The number of woody plant species and individuals at each growth stage encountered during the 2020-2022 identification of woody species was analyzed.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Growth stage</th>
<th valign="top" align="center">Number of species</th>
<th valign="top" align="center">Number of individuals</th>
<th valign="top" align="center">Fisher&#x2019;s &#x3b1;</th>
<th valign="top" align="center">Rarefaction (<italic>N</italic> = 1000)</th>
<th valign="top" align="center">Hurlbert&#x2019;s evenness</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Mature trees<sup>1</sup>
</td>
<td valign="top" align="center">154</td>
<td valign="top" align="center">2147</td>
<td valign="top" align="center">38.01</td>
<td valign="top" align="center">85</td>
<td valign="top" align="center">0.20</td>
</tr>
<tr>
<td valign="top" align="left">Shrubs<sup>1</sup>
</td>
<td valign="top" align="center">159</td>
<td valign="top" align="center">3202</td>
<td valign="top" align="center">35.16</td>
<td valign="top" align="center">125</td>
<td valign="top" align="center">0.18</td>
</tr>
<tr>
<td valign="top" align="left">Saplings<sup>1</sup>
</td>
<td valign="top" align="center">161</td>
<td valign="top" align="center">2441</td>
<td valign="top" align="center">38.70</td>
<td valign="top" align="center">89</td>
<td valign="top" align="center">0.21</td>
</tr>
<tr>
<td valign="top" align="left">Seedlings<sup>2</sup>
</td>
<td valign="top" align="center">158</td>
<td valign="top" align="center">1238</td>
<td valign="top" align="center">48.07</td>
<td valign="top" align="center">84</td>
<td valign="top" align="center">021</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Total</bold>
</td>
<td valign="top" align="center">
<bold>632</bold>
</td>
<td valign="top" align="center">
<bold>9028</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>1</sup>Total sample area = <bold>18</bold> ha; divided in three blocks = 71 360 m<sup>2</sup>.</p>
</fn>
<fn>
<p>Fisher&#x2019;s &#x3b1;, diversity, and richness of all mature trees, shrubs, saplings, and seedlings were calculated for all identified woody plants species.Bold numbers represent the total number of woody species and the count of individual woody species.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>
<bold>(A)</bold> The relationship between seedling abundance and mature woody plant abundance. <bold>(B)</bold> The relationship between adult plant density (mature trees and shrubs) and young plant density (sapling and seedling density) in the Marikana Thornveld.</p>
</caption>
<alt-text>Two scatter plots examining plant abundance relationships. Panel A shows seedling abundance per subplot versus mature woody plant abundance per subplot with a weak positive correlation (R = 0.2179, r&#xb2; = 0.0475). Panel B shows young plant density (log-transformed) plotted against adult plant density (log-transformed), displaying a moderate positive correlation (R = 0.40, r&#xb2; = 0.16). Both plots include regression lines and equations indicating the relationship strength and direction.</alt-text>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-13-1498429-g003.tif"/>
</fig>
<p>The slope of the regression line for the log-transformed data for woody plant density was significantly less than 1, with <italic>b</italic> values of 0.58 (r&#xb2; = 0.58), 3.23 (r&#xb2; = 0.61), and 0.64 (r&#xb2; = 0.39) for per capita seedling abundance for mature tree, sapling, and shrub abundance, respectively, at a 95% confidence interval (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). This indicated that as the abundance of mature trees, saplings, and shrubs increased, there was a general decline in seedling abundance (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4a, c</bold>
</xref>). However, the <italic>b</italic> value shown in <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4b</bold>
</xref> was greater than 1 (<italic>b</italic> = 3.23, r&#xb2; = 0.61), indicating a positive effect of per capita seedling abundance on the abundance of saplings&#x2019; woody plant species. Furthermore, there was a positive correlation between seedling abundance and mature tree, sapling, and shrub abundance, with R values of 0.75, 0.78, and 0.68, respectively (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref> demonstrates a very poor relationship between seedling density and mature tree, shrub, and sapling density. The results in <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref> illustrate that the assessed relationship exists at a site level. However, the overall findings indicate that mature tree, shrub, and sapling density has no effect on seedling establishment.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Each graph illustrates the relationship between seedlings and mature tree, sapling, and shrub densities at the site level. Lower-case letters represent each graph.</p>
</caption>
<alt-text>Three scatter plots labeled a, b, and c showing relationships between log-transformed seedling density and different vegetation types. Plot a shows a positive correlation with mature tree density (R = 0.753, r&#xb2; = 0.567). Plot b shows a stronger positive correlation with sapling density (R = 0.780, r&#xb2; = 0.61). Plot c shows a moderate positive correlation with shrub density (R = 0.624, r&#xb2; = 0.390). Each plot includes a linear regression line and equation.</alt-text>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-13-1498429-g004.tif"/>
</fig>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Each of these graphs illustrates the relationship between woody plant density and different growth stages at the site level.</p>
</caption>
<alt-text>A grid of six scatter plots displaying relationships between plant density variables. Top-left shows a moderate positive correlation between seedling density and mature woody plant density (R = 0.36, r&#xb2; = 0.13). Top-right shows a weak correlation between the same variables at a lower density range (R = 0.19, r&#xb2; = 0.032). Middle-left displays a weak correlation between sapling density and mature woody plant density (R = 0.29, r&#xb2; = 0.081), while middle-right shows a negligible correlation between seedling density and shrub density (R = 0.11, r&#xb2; = 0.012). Bottom-left presents a moderate correlation between sapling and shrub density (R = 0.39, r&#xb2; = 0.15). Bottom-right shows a weak correlation between seedling and sapling density (R = 0.21, r&#xb2; = 0.042). All plots include regression lines.</alt-text>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-13-1498429-g005.tif"/>
</fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Species diversity and the evenness of woody seedlings and adult trees</title>
<p>According to both Fisher&#x2019;s alpha values and estimates of diversity based on rarefaction, tree species diversity was lower in the shrub layer compared to all other growth stages. However, the seedling layer recorded the highest Fisher&#x2019;s alpha index. This indicates that, even though the number of individuals in the seedling layer was low, the ratio of the total number of individuals to the number of species exceeded 1, which reflects a completeness of taxa and individuals. Although species evenness did not differ significantly, a noticeable decline was observed in the shrub layer (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<p>H&#x2019; and evenness (J) were used to evaluate the diversity of woody species at the study site across various growth stages. The results in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref> also showed that the shrub and sapling layer had high species diversity compared to that of mature trees and the seedling layer, with 5.05 and 5.12, and 4.89 and 4.75, respectively. Compared to adult trees, the seedling layer showed moderate to low species richness and evenness (<xref ref-type="bibr" rid="B49">Rutherford and Powrie, 2013</xref>) (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>The diversity and evenness of various woody plant species across different growth stages.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Growth stage</th>
<th valign="top" align="center">Number of species</th>
<th valign="top" align="center">Number of individuals</th>
<th valign="top" align="center">SR</th>
<th valign="top" align="center">H&#x2019;</th>
<th valign="top" align="center">J</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Mature trees</td>
<td valign="top" align="center">154</td>
<td valign="top" align="center">2147</td>
<td valign="top" align="center">53,78</td>
<td valign="top" align="center">4.89</td>
<td valign="top" align="center">0,20</td>
</tr>
<tr>
<td valign="top" align="left">Shrubs</td>
<td valign="top" align="center">159</td>
<td valign="top" align="center">3202</td>
<td valign="top" align="center">71,94</td>
<td valign="top" align="center">5.05</td>
<td valign="top" align="center">0,18</td>
</tr>
<tr>
<td valign="top" align="left">Saplings</td>
<td valign="top" align="center">161</td>
<td valign="top" align="center">2441</td>
<td valign="top" align="center">64,50</td>
<td valign="top" align="center">5.12</td>
<td valign="top" align="center">0,21</td>
</tr>
<tr>
<td valign="top" align="left">Seedlings</td>
<td valign="top" align="center">158</td>
<td valign="top" align="center">1238</td>
<td valign="top" align="center">48,78</td>
<td valign="top" align="center">4.75</td>
<td valign="top" align="center">0,21</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Total</bold>
</td>
<td valign="top" align="center">
<bold>632</bold>
</td>
<td valign="top" align="center">
<bold>9,028</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>1</sup>Total sample area = 18 ha; divided in three blocks = 71 360 m<sup>2</sup>.</p>
</fn>
<fn>
<p>SR, species richness; H&#x2019;, Shannon&#x2013;Weiner diversity index; J, species evenness.Bold numbers represent the total number of woody species and the count of individual woody species.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Vegetation structure of the Marikana Thornveld</title>
<sec id="s3_3_1">
<label>3.3.1</label>
<title>Density</title>
<p>In the Marikana Thornveld, the density of wood plant species for mature trees, shrubs, saplings, and seedlings was recorded as 3,322 ha<sup>-1</sup>, 6,256 ha<sup>-1</sup>, 9,978 ha<sup>-1</sup>, and 4,136 individual plants ha<sup>-1</sup>, respectively. Woody plant density was further calculated based on the individual woody plant species across various growth stages in the Marikana Thornveld. The highest density of mature tree species was recorded for <italic>Ehretia rigida</italic> at 7,233 plants per hectare, followed by <italic>Dichrostachys cinerea</italic> with 6,633 plants per hectare, and <italic>Combretum zeyheri</italic> with 6,133 plants per hectare. Some woody plant species exceeded the encroachment threshold of 2,500 plants per hectare, ranging from 2,700 to 9,978 plants per hectare. In contrast<italic>, Euclea natalensis</italic> (19 per hectare), <italic>Senegalia mellifera</italic> (219 per hectare), <italic>Searsia dentata</italic>, <italic>Olea europaea</italic>, <italic>Millettia grandis</italic>, and <italic>Combretum molle</italic> (315 per hectare) were the least dense species in the Marikana Thornveld (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Density and percentage frequency of woody plant species in the 2020&#x2013;2022 census in the Marikana Thornveld.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="3" align="center">Species</th>
<th valign="middle" rowspan="3" align="center">Family</th>
<th valign="top" colspan="4" align="center">Woody plant growth stages (Density)</th>
<th valign="middle" rowspan="3" align="center">%F</th>
</tr>
<tr>
<th valign="top" align="center">MT</th>
<th valign="top" align="center">SH</th>
<th valign="top" align="center">SP</th>
<th valign="top" align="center">SD</th>
</tr>
<tr>
<th valign="top" colspan="4" align="center">D h<sup>-1</sup>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<italic>Asparagus racemosus</italic>
</td>
<td valign="top" align="left">Asparagaceae</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">667</td>
<td valign="top" align="center">
<bold>8,087</bold>
</td>
<td valign="top" align="center">0,16</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Lannea discolor</italic>
</td>
<td valign="top" align="left">Anacardiaceae</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">834</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">0,01</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Senegalia mellifera</italic>
</td>
<td valign="top" align="left">Barbeyaceae</td>
<td valign="top" align="center">219</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">1,922</td>
<td valign="top" align="center">
<bold>7,685</bold>
</td>
<td valign="top" align="center">0,12</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Carissa bispinosa</italic>
</td>
<td valign="top" align="left">Apocynaceae</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">155</td>
<td valign="top" align="center">967</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">0,12</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Calodendrum capense</italic>
</td>
<td valign="top" align="left">Rutaceae</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">244</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">0,04</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Canthium mundianum</italic>
</td>
<td valign="top" align="left">Rubiaceae</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">834</td>
<td valign="top" align="center">267</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">0,01</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Celtis africana</italic>
</td>
<td valign="top" align="left">Cannabaceae</td>
<td valign="top" align="center">564</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">1,044</td>
<td valign="top" align="center">
<bold>10,059</bold>
</td>
<td valign="top" align="center">0,37</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Combretum apiculatum</italic>
</td>
<td valign="top" align="left">Combretaceae</td>
<td valign="top" align="center">1,467</td>
<td valign="top" align="center">505</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">0,67</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Combretum molle</italic>
</td>
<td valign="top" align="left">Combretaceae</td>
<td valign="top" align="center">315</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">0,01</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Combretum zeyheri</italic>
</td>
<td valign="top" align="left">Combretaceae</td>
<td valign="top" align="center">
<bold>6,133</bold>
</td>
<td valign="top" align="center">
<bold>7,500</bold>
</td>
<td valign="top" align="center">
<bold>9,532</bold>
</td>
<td valign="top" align="center">
<bold>6,298</bold>
</td>
<td valign="top" align="center">
<bold>7,30</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Croton gratissimus</italic>
</td>
<td valign="top" align="left">Euphorbiaceae</td>
<td valign="top" align="center">315</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">1,567</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">0,02</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Dichrostachys cinerea</italic>
</td>
<td valign="top" align="left">Fabaceae</td>
<td valign="top" align="center">
<bold>6,633</bold>
</td>
<td valign="top" align="center">
<bold>8,366</bold>
</td>
<td valign="top" align="center">
<bold>10,932</bold>
</td>
<td valign="top" align="center">
<bold>9,585</bold>
</td>
<td valign="top" align="center">
<bold>6,86</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Diospyros lycioides</italic>
</td>
<td valign="top" align="left">Ebenaceae</td>
<td valign="top" align="center">466</td>
<td valign="top" align="center">1,500</td>
<td valign="top" align="center">
<bold>4,532</bold>
</td>
<td valign="top" align="center">
<bold>4,046</bold>
</td>
<td valign="top" align="center">1,41</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Dombeya rotundifolia</italic>
</td>
<td valign="top" align="left">Malvaceae</td>
<td valign="top" align="center">
<bold>2,966</bold>
</td>
<td valign="top" align="center">1500</td>
<td valign="top" align="center">932</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">2,13</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Ehretia obtusifolia</italic>
</td>
<td valign="top" align="left">Boraginaceae</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">1,467</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">0,01</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Ehretia rigida</italic>
</td>
<td valign="top" align="left">Boraginaceae</td>
<td valign="top" align="center">
<bold>7,233</bold>
</td>
<td valign="top" align="center">
<bold>8,755</bold>
</td>
<td valign="top" align="center">
<bold>21,632</bold>
</td>
<td valign="top" align="center">
<bold>9,989</bold>
</td>
<td valign="top" align="center">
<bold>10,79</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Euclea crispa</italic>
</td>
<td valign="top" align="left">Ebenaceae</td>
<td valign="top" align="center">1,566</td>
<td valign="top" align="center">
<bold>4,066</bold>
</td>
<td valign="top" align="center">
<bold>13,544</bold>
</td>
<td valign="top" align="center">
<bold>8,757</bold>
</td>
<td valign="top" align="center">4,80</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Euclea natalensis</italic>
</td>
<td valign="top" align="left">Ebenaceae</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">1,622</td>
<td valign="top" align="center">
<bold>7,685</bold>
</td>
<td valign="top" align="center">0,03</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Euclea undulata</italic>
</td>
<td valign="top" align="left">Ebenaceae</td>
<td valign="top" align="center">
<bold>2,964</bold>
</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">
<bold>3,344</bold>
</td>
<td valign="top" align="center">
<bold>8,087</bold>
</td>
<td valign="top" align="center">1,56</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Grewia flava</italic>
</td>
<td valign="top" align="left">Malvaceae</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">400</td>
<td valign="top" align="center">
<bold>4,027</bold>
</td>
<td valign="top" align="center">
<bold>6,452</bold>
</td>
<td valign="top" align="center">1,64</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Grewia villosa</italic>
</td>
<td valign="top" align="left">Malvaceae</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">934</td>
<td valign="top" align="center">
<bold>5,244</bold>
</td>
<td valign="top" align="center">
<bold>6,458</bold>
</td>
<td valign="top" align="center">2,18</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Gymnosporia buxifolia</italic>
</td>
<td valign="top" align="left">Celastraceae</td>
<td valign="top" align="center">
<bold>4,333</bold>
</td>
<td valign="top" align="center">
<bold>8,000</bold>
</td>
<td valign="top" align="center">
<bold>9,327</bold>
</td>
<td valign="top" align="center">
<bold>9,387</bold>
</td>
<td valign="top" align="center">
<bold>7,93</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Heteropyxis natalensis</italic>
</td>
<td valign="top" align="left">Heteropyxidaceae</td>
<td valign="top" align="center">315</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">1,567</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">0,03</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Hibiscus calyphyllus</italic>
</td>
<td valign="top" align="left">Malvaceae</td>
<td valign="top" align="center">315</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">0,02</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Lantana camara</italic>
</td>
<td valign="top" align="left">Verbenaceae</td>
<td valign="top" align="center">
<bold>3,133</bold>
</td>
<td valign="top" align="center">
<bold>9,566</bold>
</td>
<td valign="top" align="center">
<bold>6,432</bold>
</td>
<td valign="top" align="center">
<bold>6,773</bold>
</td>
<td valign="top" align="center">
<bold>8,23</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Lippia javanica</italic>
</td>
<td valign="top" align="left">Verbenaceae</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">767</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">0,09</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Millettia grandis</italic>
</td>
<td valign="top" align="left">Fabaceae</td>
<td valign="top" align="center">315</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">0,01</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Mimusops zeyheri</italic>
</td>
<td valign="top" align="left">Sapotaceae</td>
<td valign="top" align="center">464</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">1,044,</td>
<td valign="top" align="center">
<bold>6,114</bold>
</td>
<td valign="top" align="center">0,08</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Olea europaea</italic>
</td>
<td valign="top" align="left">Oleaceae</td>
<td valign="top" align="center">315</td>
<td valign="top" align="center">834</td>
<td valign="top" align="center">1,467</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">0,03</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Canarium album.</italic>
</td>
<td valign="top" align="left">Burseraceae</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">244</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">0,06</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Pappea capensis</italic>
</td>
<td valign="top" align="left">Sapindaceae</td>
<td valign="top" align="center">
<bold>5,333</bold>
</td>
<td valign="top" align="center">
<bold>4,833</bold>
</td>
<td valign="top" align="center">
<bold>7,632</bold>
</td>
<td valign="top" align="center">
<bold>10,221</bold>
</td>
<td valign="top" align="center">
<bold>7,79</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Pavetta gardeniifolia</italic>
</td>
<td valign="top" align="left">Rubiaceae</td>
<td valign="top" align="center">815</td>
<td valign="top" align="center">934</td>
<td valign="top" align="center">1,167</td>
<td valign="top" align="center">887</td>
<td valign="top" align="center">0,16</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Peltophorum africanum</italic>
</td>
<td valign="top" align="left">Fabaceae</td>
<td valign="top" align="center">264</td>
<td valign="top" align="center">315</td>
<td valign="top" align="center">344</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">0,17</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Scolopia zeyheri</italic>
</td>
<td valign="top" align="left">Fabaceae</td>
<td valign="top" align="center">1,842</td>
<td valign="top" align="center">2,166</td>
<td valign="top" align="center">
<bold>8,944</bold>
</td>
<td valign="top" align="center">
<bold>5,779</bold>
</td>
<td valign="top" align="center">2,40</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Searsia lancea</italic>
</td>
<td valign="top" align="left">Anacardiaceae</td>
<td valign="top" align="center">1,992</td>
<td valign="top" align="center">2,034</td>
<td valign="top" align="center">1,267</td>
<td valign="top" align="center">
<bold>5,032</bold>
</td>
<td valign="top" align="center">2,63</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Searsia leptodictya</italic>
</td>
<td valign="top" align="left">Anacardiaceae</td>
<td valign="top" align="center">1,600</td>
<td valign="top" align="center">2,033</td>
<td valign="top" align="center">
<bold>1,164</bold>
</td>
<td valign="top" align="center">
<bold>3,944</bold>
</td>
<td valign="top" align="center">2,56</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Searsia dentata</italic>
</td>
<td valign="top" align="left">Anacardiaceae</td>
<td valign="top" align="center">315</td>
<td valign="top" align="center">1,234</td>
<td valign="top" align="center">1,367</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">0,01</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Searsia pyroides</italic>
</td>
<td valign="top" align="left">Anacardiaceae</td>
<td valign="top" align="center">364</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">1,744</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">0,68</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Senegalia caffra</italic>
</td>
<td valign="top" align="left">Fabaceae</td>
<td valign="top" align="center">
<bold>3,933</bold>
</td>
<td valign="top" align="center">1,833</td>
<td valign="top" align="center">
<bold>4,300</bold>
</td>
<td valign="top" align="center">
<bold>6,541</bold>
</td>
<td valign="top" align="center">4,32</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Vachellia burkei</italic>
</td>
<td valign="top" align="left">Fabaceae</td>
<td valign="top" align="center">415</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">433</td>
<td valign="top" align="center">
<bold>5,911</bold>
</td>
<td valign="top" align="center">0,02</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Terminalia sericea</italic>
</td>
<td valign="top" align="left">Combretaceae</td>
<td valign="top" align="center">
<bold>4,064</bold>
</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">2,583</td>
<td valign="top" align="center">
<bold>1,748</bold>
</td>
<td valign="top" align="center">0,64</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Tarchonanthus camphoratus</italic>
</td>
<td valign="top" align="left">Asteraceae</td>
<td valign="top" align="center">*</td>
<td valign="top" colspan="2" align="center">*</td>
<td valign="top" align="center">
<bold>883</bold>
</td>
<td valign="top" align="center">0,01</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Vachellia gerrardii</italic>
</td>
<td valign="top" align="left">Fabaceae</td>
<td valign="top" align="center">1,219</td>
<td valign="top" align="center">
<bold>6,455</bold>
</td>
<td valign="top" align="center">
<bold>8,622</bold>
</td>
<td valign="top" align="center">
<bold>3,060</bold>
</td>
<td valign="top" align="center">1,33</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Vachellia karroo</italic>
</td>
<td valign="top" align="left">Fabaceae</td>
<td valign="top" align="center">864</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">1,544</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">0,38</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Vachellia nilotica</italic>
</td>
<td valign="top" align="left">Fabaceae</td>
<td valign="top" align="center">164</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">1,500</td>
<td valign="top" align="center">
<bold>2,859</bold>
</td>
<td valign="top" align="center">2,33</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Vachellia robusta</italic>
</td>
<td valign="top" align="left">Fabaceae</td>
<td valign="top" align="center">
<bold>4,217</bold>
</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">
<bold>7,527</bold>
</td>
<td valign="top" align="center">
<bold>6,231</bold>
</td>
<td valign="top" align="center">
<bold>10,38</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Vachellia tortilis</italic>
</td>
<td valign="top" align="left">Fabaceae</td>
<td valign="top" align="center">540</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">277</td>
<td valign="top" align="center">
<bold>7,685</bold>
</td>
<td valign="top" align="center">0,39</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Ximenia caffra</italic>
</td>
<td valign="top" align="left">Olacaceae</td>
<td valign="top" align="center">315</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">1467</td>
<td valign="top" align="center">
<bold>3,938</bold>
</td>
<td valign="top" align="center">0,09</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Zanthoxylum capense</italic>
</td>
<td valign="top" align="left">Rutaceae</td>
<td valign="top" align="center">267</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">1183</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">0,37</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Ziziphus mucronata</italic>
</td>
<td valign="top" align="left">Rutaceae</td>
<td valign="top" align="center">
<bold>2,764</bold>
</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">
<bold>3,066</bold>
</td>
<td valign="top" align="center">
<bold>2,938</bold>
</td>
<td valign="top" align="center">4,26</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>MT, mature trees; SH, shrub species; SP, sapling species; SD, seedling species; *, absence of woody species; %F, percentage frequency; D ha<sup>-1</sup>, density per hectare.</p>
</fn>
<fn>
<p>(Bold numbers indicate the most abundant woody plant species in the named growth stages).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The most abundant woody shrub species recorded was <italic>Lantana camara</italic> (9,566 plants ha<sup>-1</sup>), followed by <italic>Ehretia rigida</italic> (7,233 ha<sup>-1</sup>). The least abundant species recorded were <italic>Carissa bispinosa</italic> (155 ha<sup>-1</sup>), <italic>Grewia flava</italic> (400 ha<sup>-1</sup>), and <italic>Combretum apiculatum</italic> (505 ha<sup>-1</sup>). This study also noted several common woody plant species for both saplings and seedlings, with the most dominant being <italic>Ehretia rigida</italic> (6,326 ha<sup>-1</sup>; 9,989 ha<sup>-1</sup>), <italic>Combretum zeyheri</italic> (6,375 ha<sup>-1</sup>; 6,298 ha<sup>-1</sup>), and <italic>Gymnosporia buxifolia</italic> (6,327 ha<sup>-1</sup>; 9,387 ha<sup>-1</sup>). Overall<italic>, Ehretia rigida</italic>, <italic>Dichrostachys cinerea</italic>, <italic>Gymnosporia buxifolia, Combretum zeyheri, Pappea capensis, Lantana camara</italic>, and <italic>Vachellia robusta</italic> were the most abundant species recorded across all growth stages. There were also common to moderate species abundances compared to those recorded at all growth stages (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>).</p>
</sec>
<sec id="s3_3_2">
<label>3.3.2</label>
<title>Density classes</title>
<p>Across the various woody plant species at different growth stages, there was a general decline in woody species density class that formed a J-shaped pattern. The formation of this pattern can be attributed to several events related to plant succession. For example, mature trees and shrubs may have reached their mature state. Therefore, the mortality rate from plant diseases and competition for natural resources can result in a decline in wood density classes due to the death of older trees and the establishment of snags (dead trees). The density classes of seedlings and saplings also formed a J-shaped curve pattern (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Density classes of woody plant species across various tree growth stages in the Marikana Thornveld, Pretoria.</p>
</caption>
<alt-text>A set of four histograms showing the distribution of species abundance by life stage. The top-left panel shows seedling abundance with most species concentrated at low densities. The top-right panel shows mature tree abundance with a similar pattern, heavily skewed toward lower densities. The bottom-left panel shows sapling abundance, also skewed toward low values. The bottom-right panel displays shrub abundance with most species occurring at low density and a few extending beyond 200 individuals per hectare. Each panel includes labeled axes for abundance and number of species.</alt-text>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-13-1498429-g006.tif"/>
</fig>
</sec>
<sec id="s3_3_3">
<label>3.3.3</label>
<title>DBH size-class distribution</title>
<p>Seedlings and mature trees are the only group among the four growth stages that form a J-shaped pattern. The first one to three DBH size classes exhibited the highest proportion of individual wood species abundance per hectare, followed by a noticeable decline. In contrast to these results, the highest DBH size class for shrubs and saplings was recorded in the last DBH class, accounting for approximately &#xb1; 600 to 1200 individuals per hectare per hour (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>).</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Distribution of individual DBH size classes for woody plant species abundance across various growth stages in the Marikana Thornveld, Pretoria.</p>
</caption>
<alt-text>A set of four histograms showing the distribution of individuals across diameter at breast height (DBH) classes for different plant groups. The top-left panel shows seedlings concentrated in the smallest DBH class (0.5&#x2013;5 cm), with sharp declines in higher classes. The top-right panel shows saplings, with highest counts in the largest class (150.1&#x2013;200 cm) and moderate representation in mid-range classes. The bottom-left panel shows shrubs broadly distributed across DBH classes, peaking in the 301.85&#x2013;350.96 cm class. The bottom-right panel shows mature trees, peaking in the 451.85&#x2013;500.96 cm class, with fewer individuals in higher DBH ranges. Each panel includes consistent axes for number of individuals and DBH class ranges.</alt-text>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-13-1498429-g007.tif"/>
</fig>
</sec>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<sec id="s4_1">
<label>4.1</label>
<title>Woody plant density and changing aspects of seedlings and adult trees</title>
<p>Woody plant density exceeding 2,400 TE ha<sup>-1</sup> or having woody plant cover greater than or equal to 40% of the total area is considered bush encroached (<xref ref-type="bibr" rid="B56">Stevens et&#xa0;al., 2017</xref>) and has the potential to pose significant environmental risks, particularly to the composition and structure of natural vegetation (Tiawoun et&#xa0;al., 2022). Other research results indicate that an area with a woody plant density exceeding 2,500 TE ha<sup>-1</sup> reflects a moderately encroached condition (<xref ref-type="bibr" rid="B46">Richter et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B1">Abate et&#xa0;al., 2012</xref>). Furthermore, our findings are supported by <xref ref-type="bibr" rid="B19">Gemedo-Dalle et&#xa0;al. (2006)</xref>, who indicated that an area with a woody plant density exceeding the 2,400 ha<sup>-1</sup> threshold is considered bush encroached. In our study, the total density of woody plants across all species and growth stages surpassed 2,400 TE ha<sup>-1</sup>, indicating that the Marikana Thornveld is significantly encroached upon (<xref ref-type="bibr" rid="B42">O&#x2019;Connor et&#xa0;al., 2014</xref>). The study results indicated a high density of woody plant species, primarily <italic>Ehretia rigida</italic> at 7,233 plants per hectare, followed by <italic>Dichrostachys cinerea</italic> with 6,633 plants per hectare and <italic>Combretum zeyheri</italic> with 6,133 plants per hectare. Therefore, the elevated density values of these woody plant species suggest that their ecological impact in the Marikana Thornveld is significantly problematic. <xref ref-type="bibr" rid="B6">Ayele et&#xa0;al. (2024)</xref> reported similar results in Church Forest, documenting a total of 5,923 saplings and 6,136 seedlings per hectare, along with 83 and 66 woody plant species recorded, respectively. The data on species abundance and density varied significantly by growth stage and individual woody plant species. These differences may stem from various factors, including the environmental adaptations of specific species, population pressure, and management practices, such as the underutilization of woody shrub species by browsing animals (<xref ref-type="bibr" rid="B60">Tiawoun et&#xa0;al., 2022a</xref>).</p>
<p>Additionally, when we grouped identified woody plant species by their ecological growth stages, our results showed the highest density of woody plants for saplings at 9,978 ha<sup>-1</sup>, followed by shrub species at 6,256 ha<sup>-1</sup>, mature trees at 3,322 ha<sup>-1</sup>, and seedling species at 3,136 ha<sup>-1</sup>. Consequently, the high abundance of saplings and shrub species clearly indicates that the Marikana Thornveld is in a state of regenerating woody vegetation. Thus, as a component of bush management, applying fire is frequently suggested for controlling bush, particularly in the shrub and sapling layer (<xref ref-type="bibr" rid="B7">Balch et&#xa0;al., 2013</xref>). However, for successful burning to control the understory bush layer, at least &#x2265;4,000 kg ha<sup>-1</sup> of dry herbaceous material is required to ensure the efficacy of burning (<xref ref-type="bibr" rid="B63">Trollope 2004</xref>). <xref ref-type="bibr" rid="B68">Ward (2005)</xref> explains the possibilities that lead to occurrences where these changes are realized when resource allocation and certain management practices, such as fire, interact. Furthermore, numerous studies have linked the encroachment of woody plant species to changing fire regimes, overgrazing, soil moisture, nutrients, and global climate change (<xref ref-type="bibr" rid="B68">Ward, 2005</xref>; <xref ref-type="bibr" rid="B10">Bond, 2008</xref>; <xref ref-type="bibr" rid="B64">van Auken, 2009</xref>; <xref ref-type="bibr" rid="B55">Stevens et&#xa0;al., 2016</xref>). The prolonged absence of fire promotes woody plant encroachment by providing a secure environment for the development of woody plant seedlings and saplings into fire-resistant growth stages (<xref ref-type="bibr" rid="B62">Trollope, 1980</xref>; <xref ref-type="bibr" rid="B12">Bond et&#xa0;al., 2003</xref>). Therefore, it is not surprising that our results show a high density of woody plant species, particularly shrubs and saplings. This is due to the fact that prescribed fire applications at our site have been recorded since 2010, resulting in more than 10 years without fire as a control tool for bush encroachment. Additionally, the rapid increase in woody plant species has negative effects that lead to a decline in herbaceous plant species (<xref ref-type="bibr" rid="B3">Angassa and Oba, 2008</xref>; <xref ref-type="bibr" rid="B16">Devine et&#xa0;al., 2017</xref>) due to competition for available resources among grasses and woody species (<xref ref-type="bibr" rid="B57">Strohbach et&#xa0;al., 2015</xref>). Woody plants and herbaceous vegetation coexist; however, once the threshold of 2,500 woody plants per hectare is exceeded, the resulting changes completely suppress grass growth and establishment (<xref ref-type="bibr" rid="B51">Sankaran et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B61">Tiawoun et&#xa0;al., 2022b</xref>). This creates a hostile environment for herbaceous plants to access water and nutrients in the soil profile (<xref ref-type="bibr" rid="B9">Boldrin et&#xa0;al., 2022</xref>).</p>
<p>Both of these reported woody plant species encroachment thresholds (2,400 plants ha<sup>-1</sup> and 2,500 plants ha<sup>-1</sup>) (<xref ref-type="bibr" rid="B19">Gemedo-Dalle et&#xa0;al., 2006</xref>) were lower than the density values reported in our research findings. The results for both saplings and shrub species showed high woody density values, which could be due to the fact that woody plants of their height can evade natural disturbances such as trampling and competition (shading, nutrient availability, etc) (<xref ref-type="bibr" rid="B40">Muturi et&#xa0;al., 2013</xref>). Our research findings indicate that all the surveyed sites experienced bush encroachment, with several dominant woody species including <italic>Ehretia rigida, Dichrostachys cinerea, Gymnosporia buxifolia, Combretum zeyheri, Pappea capensis, Lantana camara</italic>, and <italic>Vachellia robusta.</italic> These findings align with the research conducted by <xref ref-type="bibr" rid="B34">Malan et&#xa0;al. (2021)</xref> on wood plant densities, particularly concerning the two most encroaching species: <italic>Senegalia mellifera</italic> and <italic>Dichrostachys cinerea</italic>. Consequently, the increase in woody plant density leads to greater complexity in ecosystem functions and a transition from a simple single-stratum to a multiple-stratum ecosystem (<xref ref-type="bibr" rid="B4">Archer, 1998</xref>).</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Species abundance in the seedling layer versus adult trees (mature trees, shrubs, and saplings)</title>
<p>The abundance of adult plants represented approximately a quarter or less of the total seedling abundance in the Marikana Thornveld. Seedling abundance showed no positive relationship with adult tree abundance; consequently, adult tree abundance had a negative effect on the number of seedlings per reproductive adult in the Marikana Thornveld. The poor representation of seedlings beneath the adult tree layer can be attributed to seed predation and seedling mortality (<xref ref-type="bibr" rid="B24">Hol&#xed;k and Jan&#xed;k, 2022</xref>). The abundance of seedlings and saplings in African savannah ecosystems is the primary factor contributing to bush thickening (<xref ref-type="bibr" rid="B13">Chidumayo, 2013</xref>).</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Species diversity and evenness</title>
<p>The species diversity index includes both species richness and the abundance of the identified woody species. The diversity of woody species plays a crucial role in conserving woody plant species as it guides ecological processes, management efforts, and the protection of specific species (<xref ref-type="bibr" rid="B67">Wakjira, 2006</xref>). The species diversity in the Marikana Thornveld, Roodeplaat, South Africa, demonstrated a wide range of woody plant species. This veld type includes mature trees, shrubs, saplings, and seedlings. There were differences in the Shannon&#x2013;Wiener diversity index between mature trees and seedlings, with values of H&#x2032; = 4.89 and H&#x2032; = 4.75, respectively, and between shrubs and saplings, with H&#x2032; = 5.05 and H&#x2032; = 5.12, respectively. Lower diversity values were noted for seedlings, possibly due to seed predation by birds and/or insects before germination. Consequently, there is low or no establishment of various new tree species in the seedling layer (<xref ref-type="bibr" rid="B2">Abunie and Dalle, 2018</xref>). Moreover, low species diversity in the seedling layer may result from poor seed viability in the soil bank. However, greater woody species diversity was noted in the shrubs and saplings compared to the mature and seedling layers (<xref ref-type="bibr" rid="B69">Wassie et&#xa0;al., 2010</xref>). Only shrub species exhibited low species evenness, which was due to a high diversity component (<xref ref-type="bibr" rid="B49">Rutherford and Powrie, 2013</xref>) (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
</sec>
<sec id="s4_4">
<label>4.4</label>
<title>Species distribution and vegetation structure</title>
<p>Tree species grow and develop until they reach a stage of reproduction, and as they increase in size, both the DBH classes and woody density also change (<xref ref-type="bibr" rid="B27">Kebede et&#xa0;al., 2016</xref>). In all growth stages observed in this study across different density classes, a J-shaped pattern emerged. This pattern can be attributed to several factors, such as anthropogenic activities like logging, senescence, diseases, and fire suppression, particularly affecting adult trees (<xref ref-type="bibr" rid="B59">Tebabala et&#xa0;al., 2024</xref>). However, for seedlings and saplings, the J-shaped pattern can be attributed to factors such as trampling, competition for sunlight, and heavy browsing by herbivores. Additionally, regenerating ecosystems can develop varying density-class distributions due to changes in specific characteristics of the secondary ecosystem environment (<xref ref-type="bibr" rid="B70">Yigeremu et&#xa0;al., 2022</xref>).</p>
<p>DBH class increased with larger DBH size classes across all woody plants in the four growth stages. This pattern indicates a normal population and a healthy ecosystem environment (<xref ref-type="bibr" rid="B20">Gurmessa et&#xa0;al., 2012</xref>). Additionally, <xref ref-type="bibr" rid="B53">Senbeta et&#xa0;al. (2014)</xref> reported that this shape demonstrates an ecosystem with a positive potential to regenerate and recruit normally. Therefore, the DBH classes for all woody species across different growth stages suggest that the ecosystem environment still has remnants to support regeneration, even as bush encroachment accelerates.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion and future directions</title>
<p>The study aimed to generate information and understanding of the interaction between mature woody plant species and the understory woody plant layer to create an effective woody plant encroachment control management plan. The results indicated that the density of mature trees and the understory woody plant layer exhibited little to no relationship, confirming that seedling woody plant species were not adequately represented in the adult tree layer (which includes mature trees, shrubs, and saplings). Therefore, the notably high density of saplings and shrubs is entirely due to the re-establishment of existing woody species in our study area. This suggests that mature woody plant species should not be considered a central element of the management plan for controlling the establishment of the understory layer. However, special attention should be given to saplings and shrub species that contribute to woody plant encroachment in the Marikana Thornveld. The decrease in seedling density in relation to adult tree density indicates a negative correlation between the two variables. Thus, adult trees cannot adequately predict seedling recruitment or abundance, nor the end-successional state of the Marikana Thornveld. Saplings and shrubs displayed a high density of woody plant species; consequently, diversity index values were also elevated, reflecting variation among the identified saplings and shrubs. However, the results suggested that the lack of fire application on the existing woody plant species was unnecessary; therefore, fire as a management tool should be used judiciously to control sapling and shrub abundance in the Marikana Thornveld. The J-shaped pattern formed by various DBH classes indicates a common presence of many small-diameter trees (saplings and shrubs) and relatively few large-diameter trees throughout the veld type, which contributes to bush encroachment. Overall, the research results suggest that the understory vegetation layer should be eradicated during bush management control to maintain an open savanna ecosystem.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<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 id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>MM: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. IM: Conceptualization, Formal analysis, Software, Supervision, Validation, Visualization, Writing &#x2013; review &amp; editing. TT: Conceptualization, Data curation, Formal analysis, Funding acquisition, Project administration, Resources, Supervision, Writing &#x2013; review &amp; editing. AR: Conceptualization, Data curation, Formal analysis, Software, Supervision, Visualization, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This study was supported by Agricultural Research Council Range and Forage (ARC- National Department of Agriculture, grant number API012403000089).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors are grateful to the Agricultural Research Council for financially supporting this study and a special thanks to the University of Pretoria for availing its resources to the authors to complete the study. A special thanks also goes to Mthunzi Mndela, Nothando Ngcobo, Nchaupa Johannes Rasekgokga, and Piet Monegi for their technical support during the inception and data collection of the study.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<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 id="s10" sec-type="disclaimer">
<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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