<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article">
 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">
    ojf
   </journal-id>
   <journal-title-group>
    <journal-title>
     Open Journal of Forestry
    </journal-title>
   </journal-title-group>
   <issn pub-type="epub">
    2163-0429
   </issn>
   <issn publication-format="print">
    2163-0437
   </issn>
   <publisher>
    <publisher-name>
     Scientific Research Publishing
    </publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">
    10.4236/ojf.2025.154015
   </article-id>
   <article-id pub-id-type="publisher-id">
    ojf-145248
   </article-id>
   <article-categories>
    <subj-group subj-group-type="heading">
     <subject>
      Articles
     </subject>
    </subj-group>
    <subj-group subj-group-type="Discipline-v2">
     <subject>
      Earth 
     </subject>
     <subject>
       Environmental Sciences
     </subject>
    </subj-group>
   </article-categories>
   <title-group>
    The Effects of Small-Scale Agricultural Expansion on Tree Species Composition and Diversity along Elevation Gradients in Tanzania’s Dry Sub-Montane Tropical Forest Ecosystem
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Sarafina N.
      </surname>
      <given-names>
       Masanja
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Deo D.
      </surname>
      <given-names>
       Shirima
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Pantaleo K. T.
      </surname>
      <given-names>
       Munishi
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
   </contrib-group> 
   <aff id="aff1">
    <addr-line>
     aDepartment of Ecosystems and Conservation, College of Forestry, Wildlife and Tourism, Sokoine University of Agriculture, Morogoro, Tanzania
    </addr-line> 
   </aff> 
   <aff id="aff2">
    <addr-line>
     aNational Carbon Monitoring Centre, Morogoro, Tanzania
    </addr-line> 
   </aff> 
   <pub-date pub-type="epub">
    <day>
     29
    </day> 
    <month>
     08
    </month>
    <year>
     2025
    </year>
   </pub-date> 
   <volume>
    15
   </volume> 
   <issue>
    04
   </issue>
   <fpage>
    281
   </fpage>
   <lpage>
    291
   </lpage>
   <history>
    <date date-type="received">
     <day>
      28,
     </day>
     <month>
      June
     </month>
     <year>
      2025
     </year>
    </date>
    <date date-type="published">
     <day>
      26,
     </day>
     <month>
      June
     </month>
     <year>
      2025
     </year> 
    </date> 
    <date date-type="accepted">
     <day>
      26,
     </day>
     <month>
      August
     </month>
     <year>
      2025
     </year> 
    </date>
   </history>
   <permissions>
    <copyright-statement>
     © Copyright 2014 by authors and Scientific Research Publishing Inc. 
    </copyright-statement>
    <copyright-year>
     2014
    </copyright-year>
    <license>
     <license-p>
      This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/
     </license-p>
    </license>
   </permissions>
   <abstract>
    African forest ecosystems harbour significant biodiversity, yet face constant pressure from neighbouring communities, primarily due to selective harvesting and expansion of agricultural farming practices. Studies on how the forest structure changes because of small-scale farming within the landscape are limited. This study evaluated the effects of agricultural expansion on tree species composition and diversity along elevation gradients in a dry tropical forest mountain ecosystem. Vegetation data were collected from 60 sample plots established in disturbed areas affected by small-scale agriculture and another 60 plots from relatively undisturbed areas, across different elevations. We used agglomerative hierarchical clustering to identify tree species communities and an indicator species analysis to determine species significantly associated with each community. Species richness, evenness and Shannon-Wiener diversity indices were calculated using the “vegan” package in R software and compared between disturbed and undisturbed areas using Generalised Linear Models (GLMs). We recorded 1576 individual trees from 64 species and 27 families. Most of the identified tree species were shared among the three species communities. Agricultural practices were significantly linked to lower tree species richness and altered community composition compared to undisturbed areas, with varying effects along elevation gradients. Higher elevations exhibited low species diversity and composition, while mid-elevations showed more diversity in both disturbed and undisturbed zones. Disturbance from small-scale agricultural practices had a pronounced impact on species diversity at lower elevations. Our findings highlight the importance of considering topographic heterogeneity in conservation planning and sustainable land management strategies, emphasising strict regulations and effective measures to mitigate small-scale agricultural practices adjacent to and within protected forest ecosystems.
   </abstract>
   <kwd-group> 
    <kwd>
     Species Composition
    </kwd> 
    <kwd>
      Disturbances
    </kwd> 
    <kwd>
      Small-Scale Farming Practices
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Introduction</title>
   <p>Tropical forest ecosystems harbor globally important biodiversity, providing vital ecosystem services, including climate regulation and carbon storage (<xref ref-type="bibr" rid="scirp.145248-3">
     Chazdon et al., 2009
    </xref>), and supporting the livelihoods of millions of people worldwide (<xref ref-type="bibr" rid="scirp.145248-1">
     Assessment, 2005
    </xref>). However, these invaluable ecosystems are facing constant pressure from anthropogenic activities, with agricultural expansion being a major driver of deforestation and forest degradation (<xref ref-type="bibr" rid="scirp.145248-4">
     Foley et al., 2005
    </xref>; <xref ref-type="bibr" rid="scirp.145248-11">
     Laurance et al., 2014
    </xref>). In sub-Saharan Africa, population growth and the demand for food have intensified the conversion of forests into farmland, thereby compromising biodiversity integrity (<xref ref-type="bibr" rid="scirp.145248-11">
     Laurance et al., 2014
    </xref>).</p>
   <p>Agricultural expansion is a major driver of land-use change worldwide, causing widespread deforestation, habitat degradation, and loss of biodiversity (<xref ref-type="bibr" rid="scirp.145248-4">
     Foley et al., 2005
    </xref>; <xref ref-type="bibr" rid="scirp.145248-6">
     Gibbs et al., 2010
    </xref>). This issue is especially severe in tropical forests, which host some of the highest levels of species diversity on Earth but are increasingly threatened by human activities (<xref ref-type="bibr" rid="scirp.145248-11">
     Laurance et al., 2014
    </xref>). In Africa, the expansion of agricultural land has accelerated over recent decades due to population growth, economic development, and food security needs, leading to significant conversion of forested areas into farmland. The effects of this expansion are particularly intense in forest ecosystems situated along elevation gradients, where biodiversity is often highly structured and vulnerable to environmental shifts (<xref ref-type="bibr" rid="scirp.145248-16">
     Rahbek, 2005
    </xref>).</p>
   <p>Elevation gradients serve as a vital ecological axis, affecting species distribution, community composition and ecosystem functioning. Changes in temperature, precipitation, and soil properties along these gradients create unique habitats, often resulting in significant species turnover (<xref ref-type="bibr" rid="scirp.145248-13">
     Lomolino
    </xref><xref ref-type="bibr" rid="scirp.145248-13">
     , 2001
    </xref>). However, human activities, especially agricultural expansion, increasingly disrupt these ecological processes by causing habitat loss and altering environmental conditions that support diverse species assemblages (<xref ref-type="bibr" rid="scirp.145248-15">
     Pfeifer et al., 2017
    </xref>). Despite the crucial role of elevation gradients in biodiversity conservation, there is still limited understanding of how small-scale farming practices and expansion influence tree species richness and community composition across different elevations.</p>
   <p>Tropical dry sub-montane forests are a valuable natural resource, home to diverse tree species and supporting various ecological functions (<xref ref-type="bibr" rid="scirp.145248-10">
     Kacholi
    </xref><xref ref-type="bibr" rid="scirp.145248-10">
     , 2019
    </xref>). Protected areas in sub-Saharan Africa are experiencing immense pressure from encroachment due to small-scale agricultural expansions by communities living adjacent to the reserves (<xref ref-type="bibr" rid="scirp.145248-18">
     Sentonzi
    </xref><xref ref-type="bibr" rid="scirp.145248-18">
     &amp; Katega, 2007
    </xref>). Agricultural encroachment reduces forest cover and disrupts habitats of numerous species, leading to a decline in biodiversity. Understanding the extent and impact of these disturbances is essential for developing strategies to mitigate their effects and promote sustainable land-use practices. Therefore, this study assessed the impact of agricultural expansion on tree species composition and diversity along different elevation gradients in Pangawe West Forest Reserve. Specifically, the study examined 1) how tree species composition and diversity vary across elevation gradients and 2) how agricultural expansion alters species composition and diversity compared to undisturbed areas along these gradients. Understanding how topography and human activities influence changes in biodiversity is vital for informing conservation planning and sustainable land management strategies, highlighting the need for strict regulations and effective measures to counteract agricultural encroachment in forest areas.</p>
  </sec><sec id="s2">
   <title>2. Materials and Methods</title>
   <sec id="s2_1">
    <title>2.1. Study Site Description</title>
    <p>
     <xref ref-type="bibr" rid="scirp.145248-"></xref>The Pangawe West Forest Reserve is located in the Morogoro Region, Tanzania (06˚49' S and 37˚46' E), <xref ref-type="fig" rid="fig1">
      Figure 1
     </xref>. The reserve has an area of 405 hectares and is situated at an elevation range between 300 and 1400 meters above sea level. The reserve is bordered by two villages, which are Mkambarani and Kiroka. It is accessed via the Morogoro-Kisaki road, which is 60 km from Morogoro Municipality. The area has two main rain patterns known as short rains (November-December) and long rains (March-May). Average rainfall varies from 600 mm in lowland areas to 3000 mm in mountainous areas. Temperature normally ranges from 20˚C to 30˚C during cooler and warmer seasons.</p>
    <p>
     <xref ref-type="bibr" rid="scirp.145248-"></xref></p>
    <fig id="fig1" position="float">
     <label>Figure 1</label>
     <caption>
      <title>Figure 1. A map showing the location of the study area.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1621127-rId11.jpeg?20251107031555" />
    </fig>
   </sec>
   <sec id="s2_2">
    <title>2.2. Data Collection</title>
    <p>This study employed a systematic sampling design whereby a total of 120 sample plots were established across different elevation categories to evaluate elevation-dependent ecological patterns along the disturbance gradient. Sixty plots were established in areas affected by agricultural expansion (disturbed areas), while the remaining 60 plots were situated in relatively undisturbed parts of the forest reserve. The plots were distributed across different elevation gradients defined in three categories as lower elevations (500 - 900 m), mid-elevations (900 - 1000 m), and higher elevations (&gt;1000 m) as shown in <xref ref-type="table" rid="table1">
      Table 1
     </xref>. Each plot measured 30 m × 20 m and was arranged along transect lines spaced 100 m apart, and plot locations were recorded using a hand-held GPS. Within each plot, all trees with a Diameter at Breast Height (DBH) ≥ 5 cm were identified to the species level with the assistance of local botanists.</p>
    <table-wrap id="table1">
     <label>
      <xref ref-type="table" rid="table1">
       Table 1
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.145248-"></xref>Table 1. Distribution of plots across different elevation gradients in the study area.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="40.38%"><p style="text-align:center">Elevation gradient</p></td> 
       <td class="custom-bottom-td acenter" width="32.74%"><p style="text-align:center">Forest status</p></td> 
       <td class="custom-bottom-td acenter" width="26.88%"><p style="text-align:center">Number of plots</p></td> 
      </tr> 
      <tr> 
       <td rowspan="2" class="custom-top-td acenter" width="40.38%"><p style="text-align:center">Lower elevation (500 - 900 m)</p></td> 
       <td class="custom-top-td acenter" width="32.74%"><p style="text-align:center">Disturbed areas</p></td> 
       <td class="custom-top-td acenter" width="26.88%"><p style="text-align:center">30</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="32.74%"><p style="text-align:center">Undisturbed areas</p></td> 
       <td class="acenter" width="26.88%"><p style="text-align:center">30</p></td> 
      </tr> 
      <tr> 
       <td rowspan="2" class="acenter" width="40.38%"><p style="text-align:center">Mid-elevation (900 - 1000 m)</p></td> 
       <td class="acenter" width="32.74%"><p style="text-align:center">Disturbed areas</p></td> 
       <td class="acenter" width="26.88%"><p style="text-align:center">18</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="32.74%"><p style="text-align:center">Undisturbed areas</p></td> 
       <td class="acenter" width="26.88%"><p style="text-align:center">18</p></td> 
      </tr> 
      <tr> 
       <td rowspan="2" class="acenter" width="40.38%"><p style="text-align:center">Higher elevation (&gt;1000 m)</p></td> 
       <td class="acenter" width="32.74%"><p style="text-align:center">Disturbed areas</p></td> 
       <td class="acenter" width="26.88%"><p style="text-align:center">12</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="32.74%"><p style="text-align:center">Undisturbed areas</p></td> 
       <td class="custom-bottom-td acenter" width="26.88%"><p style="text-align:center">12</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="73.12%" colspan="2"><p style="text-align:center">Total</p></td> 
       <td class="custom-top-td acenter" width="26.88%"><p style="text-align:center">120</p></td> 
      </tr> 
     </table>
    </table-wrap>
   </sec>
   <sec id="s2_3">
    <title>2.3. Data Analysis</title>
    <p>
     <xref ref-type="bibr" rid="scirp.145248-"></xref>Data were analysed using R software, version 4.3.1. All recorded species were identified and counted to determine species composition and their abundance values respectively. Species dominance was assessed by calculating the Species Importance Value Index (SIVI). SIVI was computed as the sum of relative density, relative dominance, and relative frequency of the species per plot (<xref ref-type="bibr" rid="scirp.145248-2">
      Beals, 1984
     </xref>). Agglomerative hierarchical clustering analysis was performed to identify distinct tree species communities within the reserve. Indicator species analysis was then performed using the package “labdsv” to determine the species that were significantly associated with each identified community. Each community was named after the two most dominant species based on high synoptic cover abundance values. Non-metric multidimensional scaling (NMDS) analysis was conducted to show distinct differences in community composition between disturbed and undisturbed areas. Tree species richness, evenness, and Shannon-Wiener diversity indices were calculated for each plot using the “vegan” package. Generalized Linear Models (GLMs) were used to compare these diversity indices across disturbed and undisturbed areas along different elevation gradients. All graphs were generated using the package “ggplot2” in R software.</p>
   </sec>
  </sec><sec id="s3">
   <title>3. Results</title>
   <sec id="s3_1">
    <title>3.1. Tree Species Composition</title>
    <p>A total of 1576 individual trees belonging to 64 species and 27 families were recorded across all the sampled plots. The most prevalent families were Fabaceae, Sterculiaceae, Malvaceae, Anacardiaceae, and Meliaceae. The five most dominant species in terms of Species Importance Value Index (SIVI) were Sterculia appendiculata, Cassia abbreviata, Dombeya rotundifolia, Acrocarpus fraxinifolius and Sclerocarya birrea (<xref ref-type="table" rid="table2">
      Table 2
     </xref>). Through agglomerative hierarchical clustering analysis, three distinct tree species communities were identified, each primarily characterised by shared species and some indicator species unique to each community: Community one (C1): Moringa oleifera and Sterculia appendiculata; Community two (C2): Grewia similis and Acrocarpus fraxinifolius; Community three (C3): Anthocleista usambarensis and Surugada zanzibarensis (<xref ref-type="fig" rid="fig2">
      Figure 2
     </xref>).</p>
    <table-wrap id="table2">
     <label>
      <xref ref-type="table" rid="table2">
       Table 2
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.145248-"></xref>Table 2. Species importance value index (SIVI) for dominant species in disturbed and undisturbed areas.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="33.77%"><p style="text-align:center">Species name</p></td> 
       <td class="custom-bottom-td acenter" width="32.05%"><p style="text-align:center">SIVI in disturbed areas</p></td> 
       <td class="custom-bottom-td acenter" width="34.19%"><p style="text-align:center">SIVI in undisturbed areas</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="33.77%"><p style="text-align:center">Sterculia appendiculata</p></td> 
       <td class="custom-top-td acenter" width="32.05%"><p style="text-align:center">12.3</p></td> 
       <td class="custom-top-td acenter" width="34.19%"><p style="text-align:center">28.7</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="33.77%"><p style="text-align:center">Cassia abbreviata</p></td> 
       <td class="acenter" width="32.05%"><p style="text-align:center">18.9</p></td> 
       <td class="acenter" width="34.19%"><p style="text-align:center">5.2</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="33.77%"><p style="text-align:center">Acrocarpus fraxinifolius</p></td> 
       <td class="acenter" width="32.05%"><p style="text-align:center">15.4</p></td> 
       <td class="acenter" width="34.19%"><p style="text-align:center">8.1</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="33.77%"><p style="text-align:center">Dombeya rotundifolia</p></td> 
       <td class="acenter" width="32.05%"><p style="text-align:center">9.8</p></td> 
       <td class="acenter" width="34.19%"><p style="text-align:center">14.6</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="33.77%"><p style="text-align:center">Sclerocarya birrea</p></td> 
       <td class="acenter" width="32.05%"><p style="text-align:center">6.5</p></td> 
       <td class="acenter" width="34.19%"><p style="text-align:center">19.3</p></td> 
      </tr> 
     </table>
    </table-wrap>
    <fig id="fig2" position="float">
     <label>Figure 2</label>
     <caption>
      <title>Figure 2. Dendrogram of hierarchical clustering showing three community types in different sites (plots 1 - 60) across Pangawe West Forest Reserve. The communities are named after two dominant species: Community one (C1): Moringa oleifera-Sterculia appendiculata, Community two (C2): Grewia similis-Acrocarpus fraxinifolius, and Community three (C3): Anthocleista usambarensis-Suregada zanzibarensis.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1621127-rId12.jpeg?20251107031557" />
    </fig>
   </sec>
   <sec id="s3_2">
    <title>3.2. Effects of Small-Scale Agricultural Expansion on Tree Species Composition</title>
    <p>Nonmetric multidimensional scaling (NMDS) analysis revealed clear differences in community composition between disturbed and undisturbed areas (ANOSIM R = 0.69, p &lt; 0.01). In undisturbed regions, tree species communities across various elevations formed separate clusters, indicating distinct species assemblages along the elevation gradient (<xref ref-type="fig" rid="fig3">
      Figure 3
     </xref>). However, in disturbed areas, there was greater overlap between species groups across elevations, suggesting homogenisation of tree communities due to agricultural expansion. Species that were more abundant in undisturbed areas, such as Sterculia appendiculata and Sclerocarya birrea, were significantly reduced in disturbed areas, where more disturbance-tolerant species, like Acacia mearnsii and Cassia abbreviata, dominated. This compositional shift reflects the replacement of native forest species with generalist species that thrive in disturbed environments.</p>
    <fig id="fig3" position="float">
     <label>Figure 3</label>
     <caption>
      <title>Figure 3. Nonmetric multidimensional scaling (NMDS) showing the distinction of community composition between disturbed and undisturbed areas.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1621127-rId13.jpeg?20251107031557" />
    </fig>
    <p>Indicator species analysis also identified several species that were strongly associated with either disturbed or undisturbed areas. In undisturbed areas, species such as Sterculia appendiculata and Sclerocarya birrea were consistently identified as indicators of forest integrity, being significantly more abundant in undisturbed areas across all elevations (p &lt; 0.05). These species are typically slow-growing and depend on stable forest conditions, making them highly vulnerable to habitat disturbance. Conversely, Acacia mearnsii, Cassia abbreviata and Acrocarpus fraxinifolius were more prevalent in disturbed areas, particularly at lower elevations. These species are well adapted to open, disturbed habitats, and their proliferation in such areas suggests they may outcompete native species in the long term, further diminishing forest biodiversity.</p>
   </sec>
   <sec id="s3_3">
    <title>3.3. Effects of Small-Scale Agricultural Expansion on Species Diversity along Elevation</title>
    <p>
     <xref ref-type="bibr" rid="scirp.145248-"></xref>Species richness and diversity also varied significantly between disturbed and undisturbed areas across elevation gradients, as shown in <xref ref-type="fig" rid="fig4">
      Figure 4
     </xref> and <xref ref-type="fig" rid="fig5">
      Figure 5
     </xref>. The Shannon-Wiener diversity index tends to decrease slightly with increasing elevation in both disturbed and undisturbed areas. However, undisturbed areas consistently maintain higher diversity across the gradient, with mid-elevations (900 - 1000 m) showing the species diversity (1.29), followed by lower elevations (500 - 900 m) (1.22), while higher elevations (&gt;1000 m) have the lowest species diversity (0.87) (<xref ref-type="table" rid="table3">
      Table 3
     </xref>).</p>
    <p>
     <xref ref-type="bibr" rid="scirp.145248-"></xref></p>
    <fig id="fig4" position="float">
     <label>Figure 4</label>
     <caption>
      <title>Figure 4. A graph showing patterns of species richness along elevation gradients in disturbed and undisturbed areas.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1621127-rId14.jpeg?20251107031558" />
    </fig>
    <fig id="fig5" position="float">
     <label>Figure 5</label>
     <caption>
      <title>Figure 5. A graph showing patterns of species diversity along elevation gradients between disturbed and undisturbed areas.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1621127-rId15.jpeg?20251107031558" />
    </fig>
    <table-wrap id="table3">
     <label>
      <xref ref-type="table" rid="table3">
       Table 3
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.145248-"></xref>Table 3. Diversity indices between disturbed and undisturbed areas along different elevation gradients.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="15.69%"><p style="text-align:center">Forest status</p></td> 
       <td class="custom-bottom-td acenter" width="23.21%"><p style="text-align:center">Elevation gradient</p></td> 
       <td class="custom-bottom-td acenter" width="18.98%"><p style="text-align:center">Average species richness</p></td> 
       <td class="custom-bottom-td acenter" width="18.99%"><p style="text-align:center">Average species evenness</p></td> 
       <td class="custom-bottom-td acenter" width="23.12%"><p style="text-align:center">Average Shannon-Wiener diversity index</p></td> 
      </tr> 
      <tr> 
       <td rowspan="3" class="custom-top-td acenter" width="15.69%"><p style="text-align:center">Disturbed areas</p></td> 
       <td class="custom-top-td acenter" width="23.21%"><p style="text-align:center">Mid-elevation (900 - 1000 m)</p></td> 
       <td class="custom-top-td acenter" width="18.98%"><p style="text-align:center">3.2</p></td> 
       <td class="custom-top-td acenter" width="18.99%"><p style="text-align:center">0.59</p></td> 
       <td class="custom-top-td acenter" width="23.12%"><p style="text-align:center">1.04</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="23.21%"><p style="text-align:center">Lower elevations (500 - 900 m)</p></td> 
       <td class="acenter" width="18.98%"><p style="text-align:center">3.3</p></td> 
       <td class="acenter" width="18.99%"><p style="text-align:center">0.60</p></td> 
       <td class="acenter" width="23.12%"><p style="text-align:center">0.75</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="23.21%"><p style="text-align:center">Higher elevations (&gt;1000 m)</p></td> 
       <td class="custom-bottom-td acenter" width="18.98%"><p style="text-align:center">2.0</p></td> 
       <td class="custom-bottom-td acenter" width="18.99%"><p style="text-align:center">0.57</p></td> 
       <td class="custom-bottom-td acenter" width="23.12%"><p style="text-align:center">0.60</p></td> 
      </tr> 
      <tr> 
       <td rowspan="3" class="custom-top-td acenter" width="15.69%"><p style="text-align:center">Undisturbed areas</p></td> 
       <td class="custom-top-td acenter" width="23.21%"><p style="text-align:center">Mid-elevation (900 - 1000 m)</p></td> 
       <td class="custom-top-td acenter" width="18.98%"><p style="text-align:center">4.4</p></td> 
       <td class="custom-top-td acenter" width="18.99%"><p style="text-align:center">0.51</p></td> 
       <td class="custom-top-td acenter" width="23.12%"><p style="text-align:center">1.29</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="23.21%"><p style="text-align:center">Lower elevations (500 - 900 m)</p></td> 
       <td class="acenter" width="18.98%"><p style="text-align:center">4.5</p></td> 
       <td class="acenter" width="18.99%"><p style="text-align:center">0.55</p></td> 
       <td class="acenter" width="23.12%"><p style="text-align:center">1.22</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="23.21%"><p style="text-align:center">Higher elevations (&gt;1000 m)</p></td> 
       <td class="acenter" width="18.98%"><p style="text-align:center">3.0</p></td> 
       <td class="acenter" width="18.99%"><p style="text-align:center">0.54</p></td> 
       <td class="acenter" width="23.12%"><p style="text-align:center">0.87</p></td> 
      </tr> 
     </table>
    </table-wrap>
    <p>
     <xref ref-type="bibr" rid="scirp.145248-"></xref>Conversely, disturbed areas displayed a marked reduction in species richness, particularly at lower elevations, where richness declined by approximately 26.7% compared to undisturbed areas (p &lt; 0.01). The loss of species was less pronounced at mid-elevations, where disturbed areas exhibited a 27.3% reduction in richness, and at higher elevations, which showed a 33.3% reduction in richness (<xref ref-type="table" rid="table3">
      Table 3
     </xref>).</p>
   </sec>
  </sec><sec id="s4">
   <title>4. Discussion</title>
   <p>There were relatively fewer species in the disturbed areas compared to the undisturbed areas across the elevation gradient. Small-scale agricultural expansion significantly reduced species richness across all elevation gradients. However, this effect varied with elevation, with lower- and mid-elevations showing fewer tree species in disturbed areas than in undisturbed areas. The lower-elevation areas are more accessible to smallholder farmers, leading to intensified farming practices and, consequently, the lowest number of tree species. This can be attributed to increased pressure from activities such as land clearing for crops, selective wood harvesting, and grazing, all of which exert intense pressure on forest ecosystems (<xref ref-type="bibr" rid="scirp.145248-7">
     Gibson et al., 2011
    </xref>). The conversion of forested land into agricultural fields directly leads to habitat loss, but it also indirectly affects forest structure by reducing canopy cover, altering microclimatic conditions, and increasing soil degradation.</p>
   <p>
    <xref ref-type="bibr" rid="scirp.145248-"></xref>The change in species composition in disturbed areas further supports the idea that small-scale agricultural practices and expansion impact ecological communities. Indicator species analysis showed that species adapted to more open, disturbed habitats, such as Acrocarpus fraxinifolius and Cassia abbreviata, were more abundant in disturbed areas. In contrast, species typical of intact forest environments, like Sclerocarya birrea and Sterculia appendiculata, were significantly low in disturbed areas. This shift in species composition could reflect the loss of specialized species and the proliferation of more generalist species, which are better suited to withstand disturbances (<xref ref-type="bibr" rid="scirp.145248-12">
     Lira et al., 2012
    </xref>). These patterns align with the theory of biotic homogenisation, where diverse species groups are replaced by fewer, more resilient species due to human activities (<xref ref-type="bibr" rid="scirp.145248-14">
     Olden &amp; Rooney, 2006
    </xref>).</p>
   <p>Interestingly, species richness followed a hump-shaped distribution along the elevation gradient, with mid-elevations harbouring the highest diversity in both disturbed and undisturbed areas. This pattern suggests that mid-elevation zones in the forest reserve provide optimal environmental conditions, such as moderate temperatures and precipitation, which may promote higher species richness (<xref ref-type="bibr" rid="scirp.145248-16">
     Rahbek, 2005
    </xref>). In contrast, higher elevations, characterized by harsh environmental conditions, including lower temperatures and increased wind, exhibited lower species diversity, which may explain the lower resilience of these zones to disturbance (<xref ref-type="bibr" rid="scirp.145248-8">
     Guo et al., 2013
    </xref>).</p>
   <p>Mid-elevations, while more resilient to agricultural disturbances, still experienced significant species loss and compositional changes. Although these areas generally have more favourable growing conditions, the conversion of forest land into agricultural fields disrupts ecological processes such as nutrient cycling and water regulation, thereby reducing the capacity of these forests to support diverse species assemblages. This suggests that even resilient ecosystems can be degraded by anthropogenic activities, particularly when disturbances are sustained over time (<xref ref-type="bibr" rid="scirp.145248-9">
     Jakovac et al., 2015
    </xref>).</p>
   <p>Findings indicated that different elevation zones respond distinctly to small-scale agricultural expansion, and conservation efforts should be customised to address these differences. For example, lower elevations, which are more prone to human encroachment, may benefit from stricter enforcement of land use regulations and the promotion of agroforestry systems that combine tree species with agricultural landscapes, thereby alleviating pressure on forested areas (<xref ref-type="bibr" rid="scirp.145248-17">
     Schroth et al., 2013
    </xref>). Meanwhile, mid-elevation zones, which are biodiversity hotspots, require targeted conservation measures to prevent further species loss. This may involve establishing buffer zones around critical habitats and adopting sustainable land use practices that minimise forest fragmentation.</p>
   <p>Furthermore, the findings emphasise the vital role of forests in conserving diverse tree species, especially in regions experiencing rapid agricultural expansion. Conservation policies should concentrate on protecting undisturbed forest areas while promoting landscape-scale strategies that integrate agricultural lands into biodiversity conservation efforts (<xref ref-type="bibr" rid="scirp.145248-11">
     Laurance et al., 2014
    </xref>). A landscape mosaic approach, which includes protected areas, buffer zones, and sustainably managed agricultural lands, can help maintain ecosystem services while supporting local livelihoods (<xref ref-type="bibr" rid="scirp.145248-5">
     Gardner et al., 2009
    </xref>).</p>
   <p>The observed shifts in tree species composition and diversity along elevation gradients have broader implications for climate change resilience, as forests are essential for carbon sequestration. The loss of tree species, particularly slow-growing ones that store substantial amounts of carbon, can reduce the forest’s capacity to combat climate change (<xref ref-type="bibr" rid="scirp.145248-19">
     Sullivan et al., 2017
    </xref>). Therefore, protecting diverse forest communities across different elevations is vital for conserving biodiversity and sustaining the forest’s role in the global carbon cycle.</p>
  </sec><sec id="s5">
   <title>5. Conclusion</title>
   <p>The study has shown a significant negative impact of agricultural expansion on tree species richness and community composition across elevation gradients in Pangawe West Forest Reserve. It highlights the importance of elevation in shaping biodiversity patterns and the resilience of forest ecosystems to human disturbances. Immediate measures are needed to reduce the effects of agricultural encroachment on forest biodiversity. These include strengthening forest protection by enforcing strict regulations against encroachment in the forest, prioritizing community-based forest management practices by creating buffer zones adjacent to protected areas, and promoting agroforestry practices, such as the use of multipurpose, nitrogen-fixing trees that are compatible with agricultural crops like maize, in order to reduce pressure on primary forest while sustaining livelihoods.</p>
  </sec><sec id="s6">
   <title>Data Availability Statement</title>
   <p>Data sets analysed in this study are available upon reasonable request from the corresponding author.</p>
  </sec><sec id="s7">
   <title>Acknowledgements</title>
   <p>We cordially thank the forest guards and the surrounding villagers for their assistance during data collection at Pangawe West Forest Reserve.</p>
  </sec>
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