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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. For. Glob. Change</journal-id>
<journal-title>Frontiers in Forests and Global Change</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. For. Glob. Change</abbrev-journal-title>
<issn pub-type="epub">2624-893X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/ffgc.2023.1199601</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Forests and Global Change</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Influence of aspect on vegetation dynamics: insights into the understory vegetation diversity of the dry temperate forests of South Waziristan Agency, Pakistan</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Khan</surname>
<given-names>Imran</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zahid</surname>
<given-names>Din Muhammad</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2304965/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zubair</surname>
<given-names>Muhammad</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1290869/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Manzoor</surname>
<given-names>Syed Amir</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2310561/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yasin</surname>
<given-names>Ghulam</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2176452/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mohammad</surname>
<given-names>Mamoona Wali</given-names>
</name>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Khan</surname>
<given-names>Khalid Ali</given-names>
</name>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
<xref rid="aff4" ref-type="aff"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Rahman</surname>
<given-names>Shafeeq Ur</given-names>
</name>
<xref rid="aff5" ref-type="aff"><sup>5</sup></xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/916429/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Qin</surname>
<given-names>Anzhen</given-names>
</name>
<xref rid="aff4" ref-type="aff"><sup>4</sup></xref>
<xref rid="aff6" ref-type="aff"><sup>6</sup></xref>
<xref rid="c002" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1590254/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Forestry and Range Management, FAS &#x0026; T, Bahauddin Zakariya University Multan</institution>, <addr-line>Multan</addr-line>, <country>Pakistan</country></aff>
<aff id="aff2"><sup>2</sup><institution>Forest Education Division, Pakistan Forest Institute</institution>, <addr-line>Peshawar</addr-line>, <country>Pakistan</country></aff>
<aff id="aff3"><sup>3</sup><institution>Unit of Bee Research and Honey Production, Research Center for Advanced Materials Science (RCAMS), King Khalid University</institution>, <addr-line>Abha</addr-line>, <country>Saudi Arabia</country></aff>
<aff id="aff4"><sup>4</sup><institution>Applied College, King Khalid University</institution>, <addr-line>Abha</addr-line>, <country>Saudi Arabia</country></aff>
<aff id="aff5"><sup>5</sup><institution>Water Science and Environmental Engineering Research Center, College of Chemical and Environmental Engineering, Shenzhen University</institution>, <addr-line>Shenzhen</addr-line>, <country>China</country></aff>
<aff id="aff6"><sup>6</sup><institution>Institute of Farmland Irrigation, Chinese Academy of Agricultural Sciences, Key Laboratory of Crop Water Use and Regulation, Ministry of Agriculture and Rural Affairs</institution>, <addr-line>Xinxiang</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001"><p>Edited by: Ngaba Mbezele Junior Yannick, Southwest University, China</p></fn>
<fn fn-type="edited-by" id="fn0002"><p>Reviewed by: Mazhar Rafique, The University of Haripur, Pakistan; Ahmad Hussain, Karakoram International University, Pakistan; Carolina Mart&#x00ED;nez-Ruiz, University of Valladolid, Spain</p></fn>
<corresp id="c001">&#x002A;Correspondence: Shafeeq Ur Rahman, <email>malikshafeeq1559@gmail.com</email></corresp>
<corresp id="c002">Anzhen Qin, <email>qinanzhen@caas.cn</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>14</day>
<month>11</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>6</volume>
<elocation-id>1199601</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>04</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>09</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Khan, Zahid, Zubair, Manzoor, Yasin, Khan, Mohammad, Rahman and Qin.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Khan, Zahid, Zubair, Manzoor, Yasin, Khan, Mohammad, Rahman and Qin</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>The dry temperate forests of Pakistan exhibit rich diversity of understory floral species. These important and endemic plant species play a pivotal role in ecosystem functioning and providing livelihoods to the forest communities. South Waziristan, located in the southwest of Pakistan, is known for its rare pure stands of <italic>Pinus gerardiana</italic> Wallichex. D. Don forests. The rapidly expanding population and current state of affairs are leading to deforestation and causing disturbance to the understory vegetation of this valuable forest. The current study aims to fill the currently scanty information present in the literature regarding the diversity status of understory vegetation in <italic>P. gerardiana</italic> forests. Data of understory vegetation diversity were gathered for the northern and southern aspects of the forest. A 50 m<sup>2</sup> sampling plot along with the placement of fifty 1x1m<sup>2</sup> quadrats on both sites were laid out to determine species dominance, diversity, and evenness using Simpson, Shanon, Marglef, and Buzas&#x2013;Gibson indices. The study depicted 612 individuals of about 29 species representing 23 families from the study site. The most abundant species in all of the sites was <italic>Salvia Glutinosa</italic> cccIV&#x2009;=&#x2009;0.52. The southern aspect depicted the lowest diversity, but had high species dominance. <italic>Allium carolinianum</italic> DC. in this site was the most important species (IV&#x2009;=&#x2009;0.74). The most abundant species were medicinal plants (75%), followed by edible plants (25%). Aspect had a significant effect on the understory vegetation and different categories of plants with respect to their diversity, dominance, and evenness as predicted by the various diversity indices. This study provides essential insight in to the florisitic diversity and community structure of the fragile pine nut understory vegetation in South Waziristan, which was hitherto not available. It was concluded that the southern aspect of understudy dry temperate forests depicted lower diversity and density as compared with the northern aspect. But it was observed that the southern aspect more specifically had more density and diversity of medicinal plants. It is therefore the need of the hour that conservation of these species from grazing and unsustainable harvesting must be ensured to sustain the livelihood of the inhabitants.</p>
</abstract>
<kwd-group>
<kwd>understory vegetation</kwd>
<kwd>diversity indices</kwd>
<kwd>medicinal plants</kwd>
<kwd>aspect vegetation diversity</kwd>
<kwd>
<italic>Pinus gerardiana</italic>
</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="92"/>
<page-count count="11"/>
<word-count count="8714"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Forest Management</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1.</label>
<title>Introduction</title>
<p>Majestic conifers around the world mostly occupy temperate, boreal, and subtropical climates (1). Global populations of these long-lived species are facing serious threats to their existence mostly due to anthropogenic activities and climate change (2). Among these conifers, <italic>Pinus geradiana</italic> Wallichex. D. Don forests are extremely important. They are native to the Western Himalayas and are distributed in eastern Afghanistan, southern Xizang (Tibet) in China, Jammu and Kashmir in India, and northern Pakistan (<xref ref-type="bibr" rid="ref64">Shalizi et al., 2018</xref>; <xref ref-type="bibr" rid="ref78">Urooj, 2019</xref>). These forests are extremely valuable, having key socioeconomic importance. However, rapid exploitation of these forests is gradually leading them toward extinction from their original habitat (<xref ref-type="bibr" rid="ref79">Urooj and Jabeen, 2015</xref>; <xref ref-type="bibr" rid="ref14">Aziz et al., 2018</xref>; <xref ref-type="bibr" rid="ref64">Shalizi et al., 2018</xref>). Globally, <italic>P. gerardina</italic> forests are native to South East Asia, West Asia, and in the states of Central Asia (<xref ref-type="bibr" rid="ref63">Shalizi and Khurram, 2016</xref>; <xref ref-type="bibr" rid="ref78">Urooj, 2019</xref>). Pakistan is home to one of the largest <italic>P. gerardiana</italic> forest stands in the world (<xref ref-type="bibr" rid="ref56">Print et al., 2015</xref>; <xref ref-type="bibr" rid="ref79">Urooj and Jabeen, 2015</xref>; <xref ref-type="bibr" rid="ref80">Urooj et al., 2020</xref>). These forests are extensively located in the Sulieman and Hindu Kush mountain ranges in the west (Khyber Pakhtun Khwa and Baluchistan) and north (Kashmir and Gilgit Baltistan) of the country (<xref ref-type="bibr" rid="ref56">Print et al., 2015</xref>; <xref ref-type="bibr" rid="ref79">Urooj and Jabeen, 2015</xref>; <xref ref-type="bibr" rid="ref78">Urooj, 2019</xref>). <italic>P. gerardiana</italic> forests are major economic players in the region, generating a hefty revenue of 13 million USD annually (<xref ref-type="bibr" rid="ref29">Haq et al., 2013</xref>; <xref ref-type="bibr" rid="ref56">Print et al., 2015</xref>; <xref ref-type="bibr" rid="ref78">Urooj, 2019</xref>). These forests are responsible for sustaining rural livelihoods in the form of employment and businesses (<xref ref-type="bibr" rid="ref64">Shalizi et al., 2018</xref>; <xref ref-type="bibr" rid="ref3">Alami and Mousavi, 2020</xref>; <xref ref-type="bibr" rid="ref59">Rahimzadeh, 2020</xref>; <xref ref-type="bibr" rid="ref80">Urooj et al., 2020</xref>; <xref ref-type="bibr" rid="ref4">Alami and Mousavi, 2021</xref>). Forest understory vegetation is regarded as an ecological indicator due to its quick response to changing environmental conditions (<xref ref-type="bibr" rid="ref82">Von Oheimb and H&#x00E4;rdtle, 2009</xref>). As such, understory vegetation can serve as an important indicator of species composition in a forest. The understory layer is known to affect the establishment, survival rate, and adaptability of plant species, including soil physicochemical properties such as nutrient content, pH, and moisture (<xref ref-type="bibr" rid="ref22">Dzwonko and Gawro&#x0144;ski, 2002</xref>; <xref ref-type="bibr" rid="ref76">Tinya et al., 2009</xref>). Understory medicinal plant species are an important component of forest communities&#x2019; livelihood, playing a vital role in providing subsistence and cash income to a large part of the world&#x2019;s population, particularly in developing countries (<xref ref-type="bibr" rid="ref67">Sher et al., 2014</xref>; <xref ref-type="bibr" rid="ref50">Muhammad et al., 2019</xref>).</p>
<p>Studies have depicted the importance of understory species among the people living in the forest vicinity in the north of Pakistan (<xref ref-type="bibr" rid="ref36">Kayani et al., 2014</xref>; <xref ref-type="bibr" rid="ref67">Sher et al., 2014</xref>, <xref ref-type="bibr" rid="ref68">2016</xref>). <xref ref-type="bibr" rid="ref50">Muhammad et al. (2019)</xref> displayed the inventory of medicinal plants in the dry and moist temperate forests of Kashmir. The authors depicted a large dependence of local communities upon these medicinal plants. Moreover, majority of people in these communities were dependent upon medicinal plant collection, processing, and marketing for sustaining their livelihood (<xref ref-type="bibr" rid="ref93">Zubair et al., 2019</xref>). Understory species are affected by structural changes in the forests resulting from anthropogenic disturbances and overexploitation (<xref ref-type="bibr" rid="ref81">Vellend et al., 2006</xref>; <xref ref-type="bibr" rid="ref41">Liira et al., 2007</xref>; <xref ref-type="bibr" rid="ref88">Wyatt and Silman, 2010</xref>). Such changes in forest structure may even lead to the local extinction of certain species (<xref ref-type="bibr" rid="ref81">Vellend et al., 2006</xref>).</p>
<p>Slope aspect remains pivotal in affecting plant communities in terms of their characteristics, functional groups, and aspect orientation (<xref ref-type="bibr" rid="ref90">Zhang et al., 2022</xref>). Slope aspect is instrumental in changing solar radiation distribution patterns, thereby altering soil temperature and moisture levels (<xref ref-type="bibr" rid="ref16">Burnett et al., 2008</xref>). Thus, slope aspect affects almost all vegetation properties, importantly, species composition, photosynthetic efficiency, species diversity, cover, nutritional dynamics, and, in turn, productivity (<xref ref-type="bibr" rid="ref35">Kakembo et al., 2007</xref>; <xref ref-type="bibr" rid="ref52">Ortiz-Pulido and Pavon, 2010</xref>; <xref ref-type="bibr" rid="ref66">Sharm et al., 2010</xref>; <xref ref-type="bibr" rid="ref2">Aimme and Normaniza, 2015</xref>).</p>
<p>In Pakistan, the dependence of people on pine forest resources has continued to rise in the last few decades. This is mostly due to the increasing population inhabiting previously untouched forest ecosystems (<xref ref-type="bibr" rid="ref5">Ali et al., 2005</xref>). Pakistan, with 260&#x2009;km<sup>2</sup> of <italic>P. gerardina</italic> forest, experiences unsustainable overexploitation of resources. This not only leads to decreased production but aids deforestation. In these mountain ranges, most of the <italic>P. gerardiana</italic> forests are exploited by local people for pine nut collection and medicinal plant collection (<xref ref-type="bibr" rid="ref3">Alami and Mousavi, 2020</xref>). Non-timber forest products (NTFPs) collected from the understory of these forests play a significant role in the socioeconomics of the forest community. But unsustainable and continuous resource exploitation coupled with deforestation mostly leading to settlements for new communities are having adverse effects on the understory vegetation that has been poorly explored by the scientific community of this region (<xref ref-type="bibr" rid="ref81">Vellend et al., 2006</xref>; <xref ref-type="bibr" rid="ref79">Urooj and Jabeen, 2015</xref>; <xref ref-type="bibr" rid="ref14">Aziz et al., 2018</xref>). Hence, there is need of a study to measure the resources in the understory layer of these forests and to observe their relationship with changing land-use patterns (<xref ref-type="bibr" rid="ref30">Hayat et al., 2021</xref>). The current study will provide crucial knowledge regarding the suitability of the ecosystem, especially in terms of habitat management.</p>
<p>There are already extensive studies reporting the benefits and importance of pine nut forests regarding its top story. But there are very few studies exploring the ecological, ethnological, and economic importance of the understory of Pinus spp. forests (<xref ref-type="bibr" rid="ref42">L&#x00F3;pez-Marcos et al., 2019</xref>, <xref ref-type="bibr" rid="ref43">2020</xref>). It is extremely crucial that the understory vegetation of pine forests are studied, and in particular <italic>P. gerardina</italic>. This would help in effective forest management and resource sustainability, thus ensuring the stable livelihood of the inhabitants dependent upon them (<xref ref-type="bibr" rid="ref49">M&#x00F6;lder et al., 2008</xref>; <xref ref-type="bibr" rid="ref51">Muhammad Azam Khan et al., 2010</xref>; <xref ref-type="bibr" rid="ref28">Haq et al., 2011</xref>). Researching the understory vegetation of these forests can help in determining the vital role that it plays in nutrient cycling and carbon sequestration, thus influencing the overall ecosystem&#x2019;s health and resilience (<xref ref-type="bibr" rid="ref53">Ou et al., 2020</xref>; <xref ref-type="bibr" rid="ref7">Ali and Khan, 2022</xref>). More importantly studying the diversity and distribution of understory vegetation can help in identifying invasive species, promoting biodiversity conservation, and mitigating the risk of pest and disease outbreaks (<xref ref-type="bibr" rid="ref77">Ullah et al., 2013</xref>; <xref ref-type="bibr" rid="ref91">Zilliox and Gosselin, 2014</xref>).</p>
<p>In this study, we aim to explore the understory vegetation of <italic>P. gerardiana</italic> forests in South Waziristan Agency under different aspects (northern and southern). There are limited cross-sectional studies and systematic documentation highlighting the understory vegetation density concerning various aspects and the use of different plant species in Pakistan (<xref ref-type="bibr" rid="ref41">Liira et al., 2007</xref>; <xref ref-type="bibr" rid="ref88">Wyatt and Silman, 2010</xref>; <xref ref-type="bibr" rid="ref7">Ali and Khan, 2022</xref>). The present study introduces an avenue of knowledge about the role of different aspects influencing the distribution, abundance of understory vegetation, and its diversity for this precious forest resource. Since aspects were the focus of study across which different vegetation parameters were assessed, therefore, the core objectives of the study was to assess species diversity across different aspects (northern and southern) of the understory vegetation in <italic>P. gerardiana</italic> stands in the dry temperate forest of South Waziristan, Khyber Pakhtunkhwa (KPK), Pakistan.</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<label>2.</label>
<title>Materials and methods</title>
<sec id="sec3">
<label>2.1.</label>
<title>Description of the study area</title>
<p>South Waziristan extends over an area of 6,500&#x2009;km<sup>2</sup>, located about 580&#x2009;km northeast of Islamabad, Pakistan, and shares a 300&#x2009;km border with Afghanistan. The <italic>P. gerardiana</italic> forest is located near the Pakistan&#x2013;Afghanistan border (<xref ref-type="bibr" rid="ref77">Ullah et al., 2013</xref>). The study area is situated at 32031.5810&#x2019; N 69023.6470&#x2032; E with an altitude of 1,250&#x2013;2,134&#x2009;m above sea level (<xref rid="fig1" ref-type="fig">Figure 1</xref>). The Suleiman Mountain range consists of dry temperate forest with an area of 260&#x2009;km<sup>2</sup>. The vegetation diversity is composed of dry temperate forest, dominated by <italic>P. gerardiana</italic>, <italic>Cedrus deodara</italic> (Lamb.) G.Don., <italic>Abies pindrow</italic> (Royle ex D. Don.), and <italic>Quercus incana</italic> Roxb. Some of the lower areas have the <italic>Juglans regia</italic> L. species. Among the shrub species are <italic>Alhagi maurorum Medic</italic> Medik. <italic>Berberis lycium</italic> Royle, and <italic>Viburnum grandiflorum</italic> f. foetens, while <italic>Salvia Glutinosa</italic> L, <italic>Salvia moocroftiana</italic> Wall. ex Benth., <italic>Senecio flaevus</italic> (Herb), <italic>Artemisia scoparia</italic> Maxim., <italic>Convolvulus arvensis</italic> L., <italic>Urtica dioica</italic> L., <italic>Peganum harmala</italic> L., <italic>Portulaca oleracea</italic> L., and <italic>Amaranthus viridis</italic> L. are common herb species in the study area (<xref ref-type="bibr" rid="ref61">Richardson and Rundel, 1998</xref>; <xref ref-type="bibr" rid="ref11">Arnold and Perez, 2001</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Study Site: <italic>Pinus gerardiana</italic> Forest Reserve, South Waziristan Agency, KPK.</p>
</caption>
<graphic xlink:href="ffgc-06-1199601-g001.tif"/>
</fig>
<p>The area receives an average annual precipitation of about 152.4&#x2009;mm. Winters are usually characterized by heavy snow, whereas summers are hot with scanty rainfall (<xref ref-type="bibr" rid="ref77">Ullah et al., 2013</xref>; <xref ref-type="bibr" rid="ref14">Aziz et al., 2018</xref>). Summers are short, of about four months, whereas winters are long, starting from October up to the end of May. The short interval of summers provides a short time for the growth and regeneration of trees and understory plants, herbs, and shrubs. The average altitude of the <italic>P. gerardiana</italic> forest is 2,473.47&#x2009;m according to the data collected through GPS from the study site. We conducted the data collection in the summer season to get easy access to the high altitudes of the forests and document the vegetation in the study site. In a similar study, the authors indicated that most of the population in the nearby settlements of the forest were dependent upon the <italic>P. gerardiana</italic> forest for nutritional and economic needs (<xref ref-type="bibr" rid="ref77">Ullah et al., 2013</xref>). People living near or near pine nut forests are extremely dependent upon pine nut collection (<xref ref-type="bibr" rid="ref61">Richardson and Rundel, 1998</xref>).</p>
</sec>
<sec id="sec4">
<label>2.2.</label>
<title>Sampling design and instruments</title>
<p>We employed the plot sampling method in the current study for the vegetation inventory. This technique considers an efficient and normalized way to deal with already gathered information on plant species, density diversity, and other vegetation qualities in a particular region or territory (<xref ref-type="bibr" rid="ref25">Greig-Smith, 1961</xref>). Plots of a certain size were formulated throughout the sites and quadrats were placed randomly for collecting the vegetation data. A total of 12 sampling plots were established for biodiversity assessment of the research study site. Six random plots were formed at each site on both the aspects. These study sites were divided based on the two different aspects: the southern aspect at an altitude of 2,437&#x2009;m and the northern aspect at 2,435&#x2009;m. The instruments used for the field data collection were a 1&#x2009;&#x00D7;&#x2009;1&#x2009;m quadrat, measuring tape, GPS, clippers, weight balance, pegs along with field range vegetation forms and a map of the study area, paper bags, pencil, sharpeners, and erasers.</p>
</sec>
<sec id="sec5">
<label>2.3.</label>
<title>Data collection</title>
<p>For each plot, 10 quadrats of 1 m2 were randomly placed for vegetation assessment during August and September 2021 (northern and southern aspects). The quadrats were placed randomly across the six plots selected per site. A total of 120 quadrats were inventoried. Species within the quadrats were quantified for diversity data. The nomenclature of the species as proposed by Peruzi et al. was followed (<xref ref-type="bibr" rid="ref54">Peruzzi, 2020</xref>). Vegetation was analyzed quantitatively for density (D) and frequency (F). Moreover, the Global Biodiversity Information Facility (<ext-link xlink:href="http://gbif.org" ext-link-type="uri">gbif.org</ext-link>) and the Angiosperm Phylogeny Group III classifications were used for the identification of plant species nomenclature and family names (<xref ref-type="bibr" rid="ref75">The Angiosperm Phylogeny Group, 2009</xref>).</p>
</sec>
<sec id="sec6">
<label>2.4.</label>
<title>Data analysis</title>
<p>The data were subjected to biodiversity analysis. Some of the basic quantitative analysis including vegetation frequency, density, and richness was estimated using <xref ref-type="bibr" rid="ref20">Curtis and McIntosh (1950)</xref>; the relative values for species frequency (RF), density (RD), cover percent (CP), and important value index (IVI) were also estimated and presented. Species distribution and abundance was calculated following <xref ref-type="bibr" rid="ref86">Wiegert (1989)</xref>, and the important value (IV) index was used for the determination of species dominance (<xref ref-type="bibr" rid="ref84">Wang and Shangguan, 2010</xref>). The species richness, dominance, evenness, and heterogeneity were determined through various indices including <xref ref-type="bibr" rid="ref70">Simpson (1949)</xref>, <xref ref-type="bibr" rid="ref46">Margalef (1958)</xref>, <xref ref-type="bibr" rid="ref17">Buzas and Gibson (2010)</xref>, and <xref ref-type="bibr" rid="ref65">Shannon (1949)</xref> index calculations at plot level. The Sorensen&#x2013;Dice index (<xref ref-type="bibr" rid="ref72">Sorensen, 1948</xref>) was used for the calculation of similarities in various plant species composition among the different sampling sites. Furthermore, the species richness and evenness were visualized through plotting the rank abundance curve. Rank abundance was plotted to determine the accumulation of the species in the study area (<xref ref-type="bibr" rid="ref15">Baker et al., 2006</xref>; <xref ref-type="bibr" rid="ref71">Society and Press, 2016</xref>). Sample efficacy, species richness in a specific habitat in comparison with species richness in numerous habitats, was determined by plotting an equal basis rarefaction curve (<xref ref-type="bibr" rid="ref27">Hall and Bawa, 2012</xref>; <xref ref-type="bibr" rid="ref33">Hurlbert, 2012</xref>).</p>
</sec>
</sec>
<sec sec-type="results" id="sec7">
<label>3.</label>
<title>Results</title>
<sec id="sec8">
<label>3.1.</label>
<title>Global vegetation description</title>
<p>The research site was composed of pure stands of <italic>P. gerardiana</italic>. A total of 612 plant specimens representing 29 species from 23 families were identified in the <italic>P. gerardiana</italic> forest understory (<xref rid="tab1" ref-type="table">Tables 1</xref>, <xref rid="tab2" ref-type="table">2</xref>). Regarding the composition of species, about 70% of the plants were identified as herbs. The shrubs found on the study site accounted for 20%, whereas fern species accounted for about 10%. The survey was conducted on two different aspects, the southern (southwest and southeast) and northern (northwest and northeast) aspects. The southern aspect exhibited slightly higher species richness, with 15 observed species, compared with the northern aspect, which had 14 observed species (<xref rid="tab1" ref-type="table">Table 1</xref>). On the northern aspect, the most abundant plant species identified was <italic>Allium carolinianum</italic> DC., while on the southern aspect, <italic>Salvia nubicola</italic> (Darshel) emerged as the dominant species.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Species importance value index for the understorey vegetation of <italic>Pinus gerardiana</italic> forest on the northern aspect.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Species</th>
<th align="left" valign="top">Family</th>
<th align="center" valign="top">Frequency</th>
<th align="center" valign="top">C.P</th>
<th align="center" valign="top">R.F</th>
<th align="center" valign="top">R.D</th>
<th align="center" valign="top">IVI</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom"><italic>Allium carolinianum</italic> DC</td>
<td align="left" valign="bottom">Liliaceae</td>
<td align="center" valign="bottom">54</td>
<td align="center" valign="bottom">135</td>
<td align="center" valign="bottom">0.39</td>
<td align="center" valign="bottom">0.35</td>
<td align="center" valign="bottom">0.74</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Thymus mongolicus</italic> (Ronniger)</td>
<td align="left" valign="bottom">Labiatae</td>
<td align="center" valign="bottom">34</td>
<td align="center" valign="bottom">103</td>
<td align="center" valign="bottom">0.24</td>
<td align="center" valign="bottom">0.26</td>
<td align="center" valign="bottom">0.51</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Senecio flaevus</italic> (Decne) Sch.</td>
<td align="left" valign="bottom">Compositae</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">4</td>
<td align="center" valign="bottom">0.007</td>
<td align="center" valign="bottom">0.01</td>
<td align="center" valign="bottom">0.01</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Astragalus grahamianus</italic> Royle ex Benth</td>
<td align="left" valign="bottom">Fabaceae</td>
<td align="center" valign="bottom">13</td>
<td align="center" valign="bottom">38</td>
<td align="center" valign="bottom">0.09</td>
<td align="center" valign="bottom">0.09</td>
<td align="center" valign="bottom">0.19</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Oxalis corniculata</italic> L.</td>
<td align="left" valign="bottom">Oxalidaceae</td>
<td align="center" valign="bottom">3</td>
<td align="center" valign="bottom">10</td>
<td align="center" valign="bottom">0.021</td>
<td align="center" valign="bottom">0.02</td>
<td align="center" valign="bottom">0.04</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Salvia nubicola</italic> Wall. Ex</td>
<td align="left" valign="bottom">Lamiacea</td>
<td align="center" valign="bottom">3</td>
<td align="center" valign="bottom">5</td>
<td align="center" valign="bottom">0.02</td>
<td align="center" valign="bottom">0.01</td>
<td align="center" valign="bottom">0.03</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Lactuca serriola</italic> L.</td>
<td align="left" valign="bottom">Asteraceae</td>
<td align="center" valign="bottom">4</td>
<td align="center" valign="bottom">8</td>
<td align="center" valign="bottom">0.02</td>
<td align="center" valign="bottom">0.02</td>
<td align="center" valign="bottom">0.04</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Helvella compressa</italic> (Snyder) N.S.Weber</td>
<td align="left" valign="bottom">Helvellaceae</td>
<td align="center" valign="bottom">6</td>
<td align="center" valign="bottom">21</td>
<td align="center" valign="bottom">0.04</td>
<td align="center" valign="bottom">0.05</td>
<td align="center" valign="bottom">0.09</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Cymbopogon jwarancusa</italic> (Jones) Schult.</td>
<td align="left" valign="bottom">Poaceae</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">5</td>
<td align="center" valign="bottom">0.007</td>
<td align="center" valign="bottom">0.01</td>
<td align="center" valign="bottom">0.02</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Caralluma tuberculate</italic> N.E.Br.</td>
<td align="left" valign="bottom">Pamanai</td>
<td align="center" valign="bottom">2</td>
<td align="center" valign="bottom">13</td>
<td align="center" valign="bottom">0.01</td>
<td align="center" valign="bottom">0.03</td>
<td align="center" valign="bottom">0.04</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Cynodon dactylon</italic> (L) Pers.</td>
<td align="left" valign="bottom">Poaceae</td>
<td align="center" valign="bottom">10</td>
<td align="center" valign="bottom">27</td>
<td align="center" valign="bottom">0.07</td>
<td align="center" valign="bottom">0.07</td>
<td align="center" valign="bottom">0.14</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Xanthium strumarium</italic> L.</td>
<td align="left" valign="bottom">Asteraceae</td>
<td align="center" valign="bottom">4</td>
<td align="center" valign="bottom">11</td>
<td align="center" valign="bottom">0.02</td>
<td align="center" valign="bottom">0.02</td>
<td align="center" valign="bottom">0.05</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Peganum harmala</italic> L.</td>
<td align="left" valign="bottom">Nitrariaceae</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">0.007</td>
<td align="center" valign="bottom">0.002</td>
<td align="center" valign="bottom">0.009</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Astracantha cretica</italic> (Lam.)</td>
<td align="left" valign="bottom">Leguminosae</td>
<td align="center" valign="bottom">2</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">0.01</td>
<td align="center" valign="bottom">0.002</td>
<td align="center" valign="bottom">0.01</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>CP, cover percent; RF, relative frequency; RD, relative density; IVI, important value index.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Species importance value index for understorey vegetation of <italic>P. gerardiana</italic> forest on the southern aspect.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Species</th>
<th align="left" valign="top">Family</th>
<th align="center" valign="top">Frequency</th>
<th align="center" valign="top">C.P</th>
<th align="center" valign="top">R.F</th>
<th align="center" valign="top">R.D</th>
<th align="center" valign="top">IVI</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle"><italic>Salvia Glutinosa</italic> L.</td>
<td align="left" valign="bottom">Lamiaceae</td>
<td align="center" valign="bottom">22</td>
<td align="center" valign="bottom">69</td>
<td align="center" valign="bottom">0.22</td>
<td align="center" valign="bottom">0.3</td>
<td align="center" valign="bottom">0.52</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Salvia moocroftiana</italic> Wall. ex Benth.</td>
<td align="left" valign="bottom">Lamiaceae</td>
<td align="center" valign="bottom">9</td>
<td align="center" valign="bottom">20</td>
<td align="center" valign="bottom">0.09</td>
<td align="center" valign="bottom">0.08</td>
<td align="center" valign="bottom">0.17</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Senecio flaevus</italic> (Herb)</td>
<td align="left" valign="bottom">Compositae</td>
<td align="center" valign="bottom">4</td>
<td align="center" valign="bottom">8</td>
<td align="center" valign="bottom">0.04</td>
<td align="center" valign="bottom">0.03</td>
<td align="center" valign="bottom">0.07</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Artemisia scoparia</italic> Maxim.</td>
<td align="left" valign="bottom">Compositae</td>
<td align="center" valign="bottom">3</td>
<td align="center" valign="bottom">7</td>
<td align="center" valign="bottom">0.03</td>
<td align="center" valign="bottom">0.03</td>
<td align="center" valign="bottom">0.06</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Convolvulus arvensis</italic> L.</td>
<td align="left" valign="bottom">Convolvolaceae</td>
<td align="center" valign="bottom">2</td>
<td align="center" valign="bottom">3</td>
<td align="center" valign="bottom">0.02</td>
<td align="center" valign="bottom">0.01</td>
<td align="center" valign="bottom">0.03</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Urtica dioica</italic> L.</td>
<td align="left" valign="bottom">Urticeae</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">0.01</td>
<td align="center" valign="bottom">0.004</td>
<td align="center" valign="bottom">0.01</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Thymus mongolicus</italic> (Ronniger) Ronniger</td>
<td align="left" valign="bottom">Labiatae</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">0.01</td>
<td align="center" valign="bottom">0.004</td>
<td align="center" valign="bottom">0.01</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Salvia nubicola</italic> Wall. Ex</td>
<td align="left" valign="bottom">Lamiaceae</td>
<td align="center" valign="bottom">27</td>
<td align="center" valign="bottom">65</td>
<td align="center" valign="bottom">0.27</td>
<td align="center" valign="bottom">0.28</td>
<td align="center" valign="bottom">0.55</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Peganum harmala</italic> L.</td>
<td align="left" valign="bottom">Nitrariaceae</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">3</td>
<td align="center" valign="bottom">0.01</td>
<td align="center" valign="bottom">0.01</td>
<td align="center" valign="bottom">0.02</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Portulaca oleracea</italic> L.</td>
<td align="left" valign="bottom">Aizoaceae</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">0.01</td>
<td align="center" valign="bottom">0.004</td>
<td align="center" valign="bottom">0.01</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Amaranthus viridis</italic> L.</td>
<td align="left" valign="bottom">Amaranthaceae</td>
<td align="center" valign="bottom">2</td>
<td align="center" valign="bottom">3</td>
<td align="center" valign="bottom">0.02</td>
<td align="center" valign="bottom">0.01</td>
<td align="center" valign="bottom">0.03</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Sporobolus indicus</italic> (L.) R.Br.</td>
<td align="left" valign="bottom">Poaceae</td>
<td align="center" valign="bottom">9</td>
<td align="center" valign="bottom">25</td>
<td align="center" valign="bottom">0.09</td>
<td align="center" valign="bottom">0.10</td>
<td align="center" valign="bottom">0.20</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Mentha aquatica</italic> L.</td>
<td align="left" valign="bottom">Labiatae</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">0.01</td>
<td align="center" valign="bottom">0.004</td>
<td align="center" valign="bottom">0.01</td>
</tr>
<tr>
<td align="left" valign="middle">
<italic>Withnia coagulans</italic>
</td>
<td align="left" valign="bottom">Malvaceae</td>
<td align="center" valign="bottom">14</td>
<td align="center" valign="bottom">22</td>
<td align="center" valign="bottom">0.14</td>
<td align="center" valign="bottom">0.09</td>
<td align="center" valign="bottom">0.23</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Sophora mollis</italic> (Royle) Graham ex Baker</td>
<td align="left" valign="bottom">Fabaceae</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">0.01</td>
<td align="center" valign="bottom">0.004</td>
<td align="center" valign="bottom">0.01</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>CP, cover percent; RF, relative frequency; RD, relative density; IVI, important value index.</p>
</table-wrap-foot>
</table-wrap>
<p>When assessing the importance value (IV) index of species, variations between the northern and southern aspects were observed. The highest IV value of 0.74 was recorded for <italic>A. carolinianum</italic> DC. on the northern aspect, while <italic>S. glutinosa</italic> L, Jupiters Distaff (Rashal), had the highest IV value of 0.5 on the southern aspect. The majority of the species fell within the range of 0.02&#x2013;0.06 IV. Notably, three species, namely, <italic>A. carolinianum</italic>, <italic>T. mongolicus</italic>, <italic>S. glutinosa</italic>, and <italic>S. nubicola</italic> showed high IV values at both sites (<xref rid="tab1" ref-type="table">Tables 1</xref>, <xref rid="tab2" ref-type="table">2</xref>). Overall, the data indicate differences in species abundance and IV values between the northern and southern aspects, highlighting the specific characteristics and composition of each site. The study showed a higher presence of medicinal plants on the southern aspect (80%) as compared with the northern aspect (70%).</p>
</sec>
<sec id="sec9">
<label>3.2.</label>
<title>Vegetation composition on the northern aspect</title>
<p>The values of frequency (F) and density (D) calculated among the various aspects showed different results. During the sampling in the northern and southern aspects, the most dominant species found was <italic>A. carolinianum</italic> (RF&#x2009;=&#x2009;39%; RD&#x2009;=&#x2009;135) followed by <italic>T. mongolicus</italic> (<italic>F</italic>&#x2009;=&#x2009;25%; D&#x2009;=&#x2009;103) present on the northern aspect, wherein 70% of plant species were classified as highly important medicinal plant species. The second most important plant present on the northern aspect was <italic>T. mongolicus</italic> (RF&#x2009;=&#x2009;25%; RD&#x2009;=&#x2009;103). The northern aspect also contained significant numbers of <italic>A. grahamianus</italic> (RF&#x2009;=&#x2009;9%; RD&#x2009;=&#x2009;38). However, <italic>P. harmala</italic> L (RF&#x2009;=&#x2009;0.26%; RD&#x2009;=&#x2009;1) was also found in the area, being an endangered and endemic medicinal plant. The most important and widely used species was <italic>T.mongolicus</italic> (<italic>F</italic>&#x2009;=&#x2009;27%; D&#x2009;=&#x2009;103) and <italic>P. harmala</italic> (RF&#x2009;=&#x2009;0.72%; RD&#x2009;=&#x2009;1). Few plants were normally used by the livestock. These plants include <italic>C. dactylon</italic> (RF&#x2009;=&#x2009;7.2%; RD&#x2009;=&#x2009;27), <italic>C. tuberculata</italic>, (RF&#x2009;=&#x2009;1.44%; RD&#x2009;=&#x2009;13), and <italic>X. strumarium</italic> (RF&#x2009;=&#x2009;3%; RD&#x2009;=&#x2009;11). The remaining species, i.e., <italic>S. flaevus</italic> (Decne) Sch. (RF&#x2009;=&#x2009;0.72% RD&#x2009;=&#x2009;18) was noted in few numbers on the northern aspect.</p>
</sec>
<sec id="sec10">
<label>3.3.</label>
<title>Vegetation composition on the southern aspect</title>
<p>The frequency and density of vegetation on the southern aspect were higher when compared with the northern aspect. The southern aspect represented species mostly utilized by local communities for medicinal purposes and livestock grazing. The most abundant of them were <italic>S. nubicola</italic> Wall. Ex. (RF&#x2009;=&#x2009;27.5%; RD&#x2009;=&#x2009;65), <italic>S. glutinosa</italic> L (RF&#x2009;=&#x2009;22%; RD&#x2009;=&#x2009;69), and <italic>S. moocroftiana</italic> Wall. ex Benth. (R<italic>F</italic>&#x2009;=&#x2009;9.4%; RD&#x2009;=&#x2009;20). Plants with medicinal characteristics (64%) also existed on the southern aspect; the most important and widely used species were <italic>S. glutinosa</italic> L (RF&#x2009;=&#x2009;27.5%; D&#x2009;=&#x2009;65), <italic>S. nubicola</italic> (RF&#x2009;=&#x2009;27.5% RD&#x2009;=&#x2009;65), <italic>W. coagulans</italic> (RF&#x2009;=&#x2009;14.5%; RD&#x2009;=&#x2009;22), and <italic>S. moocroftiana</italic> Wall. ex Benth. (RF&#x2009;=&#x2009;9.4%; RD&#x2009;=&#x2009;20), while other plant species were quite rare, with minimum frequencies and densities. Among all the species on the southern aspect 13% were used as fodder for livestock whereas the remaining (86%) species including herbs and shrubs were used for medicinal purposes. The total understory vegetation on the northern and southern aspects was characterized as 70% medicinal and 25% edible plants. The southern aspect consisted of the bulk of medicinal plant species. Nonetheless, edible plants were not very dominant on the southern aspect, and hence were sparsely scattered on the sampled sites of the southern aspect (southwest and southeast). Among all these species, <italic>S. glutinosa</italic> L. is also used for making flavoring (RF&#x2009;=&#x2009;22% RD&#x2009;=&#x2009;69) and had considerable representation.</p>
</sec>
<sec id="sec11">
<label>3.4.</label>
<title>Rank abundance curve and rarefaction analyses</title>
<p><xref rid="fig2" ref-type="fig">Figure 2</xref> represents the abundance rank and relative abundance measured on a log scale. The northern aspect was dominated by 14 species contributing to the bulk of the biomass. The curves of the southern and northern aspects differ in their slopes, showing good evenness of the species at the southern site. The northern aspect showed more species abundance than the southern aspect. The species on the northern aspect were quite diverse as compared with the southern aspect. A rarefaction curve depicts how many samples are needed for analyzing population vegetation diversity (<xref rid="fig3" ref-type="fig">Figure 3</xref>). The northern aspect curve reaches asymptote after a specific point steeply going in upward direction showing prominent effect. Conversely, the southern aspect curve of the area where sampling was done was full of unique species used for medicinal purposes and it was found that the site could contain more species if further sampling had been conducted.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Species wise rank abundance curve of the vegetation on the northern and southern aspects of <italic>P. gerardiana</italic> forest.</p>
</caption>
<graphic xlink:href="ffgc-06-1199601-g002.tif"/>
</fig>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Plot-based rarefaction curves for the northern and southern aspects of <italic>P. gerardiana</italic>.</p>
</caption>
<graphic xlink:href="ffgc-06-1199601-g003.tif"/>
</fig>
</sec>
<sec id="sec12">
<label>3.5.</label>
<title>Biodiversity analysis</title>
<p>It was observed that the Shannon diversity index was at the maximum on the northern aspect of the forest (<xref rid="tab3" ref-type="table">Table 3</xref>). This greater value illustrates the fact that the plant communities were more diverse, integrating more richness and evenness, whereas the lowest value of the Shannon index was on the southern aspect of the study site. Comparatively, this site was low in diversity and the number of species as compared to northern aspect. To determine the abundance of the species and its dominance in the aspect, Simpson&#x2019;s index was calculated from both the aspects in the study site.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Comparison of diversity indices on the northern and southern aspects of <italic>P. gerardiana.</italic></p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Indices sites</th>
<th align="center" valign="top">Southern aspect</th>
<th align="center" valign="top">Northern aspect</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom">Simpson_1-D</td>
<td align="center" valign="bottom">0.7422</td>
<td align="center" valign="bottom">0.7763</td>
</tr>
<tr>
<td align="left" valign="bottom">Shannon_H</td>
<td align="center" valign="bottom">1.712</td>
<td align="center" valign="bottom">1.837</td>
</tr>
<tr>
<td align="left" valign="bottom">Margalef (Spp Richness)</td>
<td align="center" valign="bottom">2.201</td>
<td align="center" valign="bottom">1.853</td>
</tr>
<tr>
<td align="left" valign="bottom">Buzas and Gibson&#x2019;s evenness</td>
<td align="center" valign="bottom">0.40</td>
<td align="center" valign="bottom">0.42</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The result presented that the southern aspect was highly dominated by understory vegetation. Moreover, the site also showed dominancy of fewer plants due to the sparse vegetation. For observing the species richness and evenness, the Margalef&#x2019;s and Buza&#x2019;s and Gibson&#x2019;s diversity indices showed similar results when compared with the other indices used during findings. The main outcome of the findings depicted in those different indices values and aspects was the high biodiversity on the northern aspect of the sampling site. The Sorensen-Dice index presented least similarity in the northern aspect and southern aspect in the study site (<xref rid="tab4" ref-type="table">Table 4</xref>). The decrease in similarity inferred that there were less species shared among the different aspects of the sampling sites. The index describes that the species prevalence in both the sites were rare.</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>S&#x00F8;rensen&#x2013;Dice coefficients showing similarities between the northern and southern aspects of <italic>P. gerardiana</italic> forest.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Northern aspect site 1 and 2</th>
<th align="left" valign="top">Southern aspect site 1 and 2</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">0.20 (20%)</td>
<td align="center" valign="top">0.30 (30%)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec13">
<label>3.6.</label>
<title>Principal component analysis</title>
<p>Principal component analysis (PCA) was conducted to analyze the effect of aspect on the types of plant diversity and plant density. The results showed PC1 (Principal component 1) to account for 100% of the total variance. Density showed the highest loading in the first component. The experimental sites were separated along principal component 1 (PC1) where the southern aspect had higher PC1 scores, while the northern aspect displayed a lower density (<xref rid="fig4" ref-type="fig">Figure 4</xref>).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Principal component analysis (PCA) on the basis of the northern and southern aspects of <italic>P. gerardiana</italic> forest.</p>
</caption>
<graphic xlink:href="ffgc-06-1199601-g004.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec14">
<label>4.</label>
<title>Discussion</title>
<p>The results showed the understory portion of the forest to have considerable biodiversity. Our research study depicted that the <italic>P. gerardiana</italic> forest of South Waziristan Agency has diverse understory vegetation. The understory is enriched with different medicinal plants that are used for various purposes including food and fodder. These plants play a key role in the livelihood of the local communities using them in herbal medicines as well as the functioning of the forest (<xref ref-type="bibr" rid="ref19">Chidumayo and Gumbo, 2010</xref>). Most of the plants were used for medicinal need. The current research study was similar to the research work of <xref ref-type="bibr" rid="ref58">Qasim et al. (2013)</xref> depicting that most of the plants in the Himalayan range were being used for medicinal purposes. Vegetation density came out to be moderate in the understudied area. <xref ref-type="bibr" rid="ref58">Qasim et al. (2013)</xref> observed similar results depicting low species diversity in <italic>P. gerardiana</italic> stands. Results depicted homogenous variance in understory species composition on the northern and southern aspects of the study sites. Similarly, various researchers have observed variations in understory composition and structure according to the aspects (<xref ref-type="bibr" rid="ref48">Mishra et al., 2004</xref>; <xref ref-type="bibr" rid="ref49">M&#x00F6;lder et al., 2008</xref>).</p>
<p>The maximum biodiversity was found on the southern aspect of the study site. The area was open in canopy cover which provided a suitable environment for different medicinal plants (<xref ref-type="bibr" rid="ref58">Qasim et al., 2013</xref>; <xref ref-type="bibr" rid="ref40">Khel et al., 2022</xref>). Similar observations were found by <xref ref-type="bibr" rid="ref1">Adnan and H&#x00F6;lscher (2012)</xref> at Ayubia National Park of Khyber Pakhtoon Khwa, where they perceived that the decrease in understory plants, herbs, and shrubs was due to the dense canopy cover of overstorey vegetation. <xref ref-type="bibr" rid="ref91">Zilliox and Gosselin (2014)</xref> concluded that northern aspects showed minimum abundance of understory vegetation because of the closed canopy and less availability of sunlight, moisture, and nutrients for the understory plants and grasses. Similar observations were found by <xref ref-type="bibr" rid="ref85">Whitmore (1978)</xref>, wherein forest cover remained instrumental in affecting the vegetation underneath it. Similar outcomes were perceived by <xref ref-type="bibr" rid="ref62">Sagar et al. (2008)</xref>, in which they exhibited that the areas with sparse canopy cover had high understory plant cover. It was observed that the evergreen forest closed canopy had less understory biodiversity. The study noted that understory vegetation is completely dependent on the overstory of the forest trees including pure and mixed forests.</p>
<p>Aspect and canopy affected the diversity, density, and cover of understory vegetation of the study site, as endorsed in various similar studies (<xref ref-type="bibr" rid="ref39">Khan et al., 2012</xref>). Overall diversity of the understory vegetation in the study area was on the lower side. This is coherent with similar studies conducted in these areas (<xref ref-type="bibr" rid="ref38">Khan et al., 2011</xref>; <xref ref-type="bibr" rid="ref92">Zubair et al., 2021</xref>; <xref ref-type="bibr" rid="ref8">Ali et al., 2022</xref>). Studies in the pine nut forests of Pakistan and Afghanistan have usually depicted lower understory vegetation diversity (<xref ref-type="bibr" rid="ref38">Khan et al., 2011</xref>; <xref ref-type="bibr" rid="ref60">Rahman et al., 2017</xref>; <xref ref-type="bibr" rid="ref44">Luintel et al., 2018</xref>; <xref ref-type="bibr" rid="ref8">Ali et al., 2022</xref>; <xref ref-type="bibr" rid="ref55">Prakash et al., 2023</xref>). However, the pine nut forests of China, India, and other regions have shown higher diversity of understory plant species compared with understory vegetation diversity of pine forests of the area under study (<xref ref-type="bibr" rid="ref32">Huo et al., 2014</xref>; <xref ref-type="bibr" rid="ref73">Su and Lu, 2020</xref>; <xref ref-type="bibr" rid="ref10">Aqeel et al., 2023</xref>; <xref ref-type="bibr" rid="ref55">Prakash et al., 2023</xref>). The study depicted a lower density and frequency of plant species in both study areas. This is mostly related to the vegetation damaging effects caused by overgrazing, unsustainable medicinal/edible plant collection, and deforestation, as reported in various studies (<xref ref-type="bibr" rid="ref69">Shinwari and Qaiser, 2011</xref>; <xref ref-type="bibr" rid="ref64">Shalizi et al., 2018</xref>; <xref ref-type="bibr" rid="ref34">Hussein et al., 2021</xref>; <xref ref-type="bibr" rid="ref37">Khan et al., 2021</xref>).</p>
<p>The majority of these plants are available year round and the local communities use them for their subsistence (<xref ref-type="bibr" rid="ref23">Farooq et al., 2012</xref>; <xref ref-type="bibr" rid="ref9">ANG et al., 2014</xref>; <xref ref-type="bibr" rid="ref12">Aziz et al., 2016</xref>). The higher composition of species diversity and dominance on the southern aspect compared with the northern aspect was shown by the rank abundance curve highlighting the richness of <italic>S. glutinosa</italic> and <italic>S. nubicola</italic> species. Similar results were observed by <xref ref-type="bibr" rid="ref6">Ali et al. (2007)</xref>, which depicted that there was a slight decrease in the species abundance of northern aspects. <xref ref-type="bibr" rid="ref57">Promis et al. (2012)</xref> observed similar results, stating that the areas with dense vegetation showed less understory plants. The aspects with a decrease in grazing patterns and partially closed forest cover (southern aspects) had high understory vegetation including medicinal plants. Similar results were observed by <xref ref-type="bibr" rid="ref92">Zubair et al. (2021)</xref>, stating that the spots with medium canopy cover resulted in high understory vegetation. The research study results were obtained by appropriate samples collection as justified in the rarefaction curves. The curves were used in data to overcome difficulties and interference often experienced during counting and relating to taxon richness. (<xref ref-type="bibr" rid="ref24">Gotelli and Colwell, 2001</xref>). The availability of plants across time is a critical factor for observing richness and abundance (<xref ref-type="bibr" rid="ref87">Wulf and Naaf, 2009</xref>; <xref ref-type="bibr" rid="ref47">Mestre et al., 2017</xref>). Moreover, plants grown under conditions of ample light and space are more abundant compared with plants dispersed under dense forests (<xref ref-type="bibr" rid="ref83">Walker et al., 1999</xref>). Likewise, species tend to be more diverse and richer in their flora when the available forest condition is either termed as open canopy or undisturbed partial canopy cover(<xref ref-type="bibr" rid="ref26">Hamilton, 2004</xref>; <xref ref-type="bibr" rid="ref57">Promis et al., 2012</xref>).</p>
<p>The <italic>P. gerardiana</italic> forests of Pakistan are rapidly degrading due to the overexploitation of pine nuts, unsustainable collection of medicinal/edible plant species, and continuous deforestation (<xref ref-type="bibr" rid="ref80">Urooj et al., 2020</xref>; <xref ref-type="bibr" rid="ref37">Khan et al., 2021</xref>). These factors not only alter the structure and functioning of the forest but also increase soil erosion events and reduce nutrients availability (<xref ref-type="bibr" rid="ref49">M&#x00F6;lder et al., 2008</xref>; <xref ref-type="bibr" rid="ref58">Qasim et al., 2013</xref>; <xref ref-type="bibr" rid="ref34">Hussein et al., 2021</xref>). Our study depicts the lower density, cover, and diversity of important medicinal/edible plant species on the northern and southern aspects. This indicates a crucial restoration hotspot that harbors endangered species whose recovery could benefit from effective forest landscape rehabilitation and conservation practices (<xref ref-type="bibr" rid="ref31">H&#x00F6;hl et al., 2020</xref>; <xref ref-type="bibr" rid="ref21">De Matos et al., 2021</xref>).</p>
<p>Many previous studies have indicated direct links between diversity, composition, and the structure of understory vegetation on the functioning and provisioning of the forest (<xref ref-type="bibr" rid="ref53">Ou et al., 2020</xref>). The quantitative inventory of the understory vegetation clearly translates as a warning of potential irreversible degradation (<xref ref-type="bibr" rid="ref89">Xie et al., 2021</xref>). Building on the results of such vegetation surveys, it is important that we engage government departments and non-governmental organizations to take part in conservation practices utilizing wider and systematic formal monitoring activities, since forest communities have minimum input in the management and conservation of forest resources (<xref ref-type="bibr" rid="ref74">Tabassum, 2020</xref>). This emphasized the need to understand policy and practice of forest landscape restoration (FLR) in meeting local needs and livelihoods for sustainable management of forest resources, though important, yet is important (<xref ref-type="bibr" rid="ref45">Mansourian et al., 2020</xref>; <xref ref-type="bibr" rid="ref74">Tabassum, 2020</xref>). Various global studies have indicated that different resource management endeavors with minimum integration of vegetation surveys in terms of monitoring usually lead to poor management and low rehabilitation success (<xref ref-type="bibr" rid="ref18">Chazdon, 2019</xref>; <xref ref-type="bibr" rid="ref45">Mansourian et al., 2020</xref>). Through this study, there is an opportunity for considering the incorporation of vegetation surveys with respect to aspects and canopy cover to measure the diversity of understory vegetation for better management and conservation of forest ecosystems.</p>
</sec>
<sec id="sec15">
<label>5.</label>
<title>Conclusion and policy implication</title>
<p>The research conducted in the <italic>P. gerardiana</italic> forest of South Waziristan Agency, Pakistan, has illuminated the intricate vegetation dynamics influenced by aspectual variations. Our findings underscore that the understory vegetation is rich in biodiversity, with a marked representation of both edible and medicinal plants. While both the northern and southern aspects of the study site showcased diverse species, the southern aspect stood out with a higher prevalence of medicinal plants. Notably, the vegetation diversity was found to be marginally higher on the southern aspect when compared with the northern aspect. This is particularly significant as it hints at the influence of aspect on species richness and abundance. For instance, species such as <italic>A. carolinianum</italic> DC. and <italic>S. nubicola</italic> (Darshel) emerged as dominant on the northern and southern aspects, respectively. Furthermore, the biodiversity indices, including the Shannon diversity index and Simpson&#x2019;s index, provided a deeper understanding of species richness and evenness across the two aspects. Such differences in vegetation dynamics between the northern and southern aspects could be attributed to various ecological factors, which may include light availability, soil properties, moisture content, and other microclimatic conditions. It is also worth noting that the region, though rich in biodiversity, is vulnerable to anthropogenic pressures, such as livestock grazing. The southern aspect, in particular, displayed signs of being more affected by these practices. Sustainable management practices and conservation efforts are paramount to ensure the protection and preservation of these ecologically valuable landscapes. In light of our findings, it becomes evident that understanding the role of aspect in vegetation dynamics can provide valuable insights for biodiversity conservation and sustainable forest management. Further studies across different forest reserves in Pakistan would amplify our knowledge about the intricate relationships between aspect and vegetation, aiding in informed conservation strategies for the country&#x2019;s rich biodiversity.</p>
</sec>
<sec sec-type="data-availability" id="sec30">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="author-contributions" id="sec16">
<title>Author contributions</title>
<p>IK and DZ conceptualized and wrote the main manuscript. MZ, GY, and SM helped to perform the lab analysis. MM, MZ, GY, and SM reviewed and edited the manuscript in the present form. KAK provided resources and funds. SR and AQ supervised and provided funding and approved the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="sec17">
<title>Funding</title>
<p>This work was supported by the scientific and Technological Project of Henan Province (222102110175) and scientific and Technological Project of Xinxiang City (GG2021024). The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University Saudi Arabia for funding this work through Large Groups Project under grant number RGP2/447/44. The authors acknowledge the support of the Unit Bee Research and Honey Production at King Khalid University, Abha, Saudi Arabia.</p>
</sec>
<sec sec-type="COI-statement" id="sec18">
<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="sec100" 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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