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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. For. Glob. Change</journal-id>
<journal-title-group>
<journal-title>Frontiers in Forests and Global Change</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. For. Glob. Change</abbrev-journal-title>
</journal-title-group>
<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.2026.1765957</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Biodiversity and structural analysis of forests at the altitudinal boundary between dry and montane forests: response of tree diversity to altitudinal variation in the northeastern Peruvian Andes</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Coronel-Castro</surname>
<given-names>Elver</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Pariente-Mondrag&#x00F3;n</surname>
<given-names>El&#x00ED;</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Rivera</surname>
<given-names>Rosalynn Y.</given-names>
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<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Chac&#x00F3;n</surname>
<given-names>Junior</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Delgado</surname>
<given-names>Aldair</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<name>
<surname>Oliva-Cruz</surname>
<given-names>Manuel</given-names>
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<contrib contrib-type="author">
<name>
<surname>Huam&#x00E1;n-Pilco</surname>
<given-names>Angel Fernando</given-names>
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<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<aff id="aff1"><label>1</label><institution>Instituto de Investigaci&#x00F3;n para el Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodr&#x00ED;guez de Mendoza de Amazonas</institution>, <city>Chachapoyas</city>, <state>Amazonas</state>, <country country="pe">Peru</country></aff>
<aff id="aff2"><label>2</label><institution>Departamento Acad&#x00E9;mico de Agronom&#x00ED;a, Agroindustria, Forestal y Agroecolog&#x00ED;a, Universidad Nacional Toribio Rodr&#x00ED;guez de Mendoza de Amazonas</institution>, <city>Chachapoyas</city>, <state>Amazonas</state>, <country country="pe">Peru</country></aff>
<aff id="aff3"><label>3</label><institution>Instituto de Investigaci&#x00F3;n en Forester&#x00ED;a y Ecosistemas Tropicales - INIFET, Universidad Nacional Toribio Rodr&#x00ED;guez de Mendoza de Amazonas</institution>, <city>Chachapoyas</city>, <state>Amazonas</state>, <country country="pe">Peru</country></aff>
<aff id="aff4"><label>4</label><institution>Escuela de Posgrado, Universidad Nacional Toribio Rodr&#x00ED;guez de Mendoza de Amazonas</institution>, <city>Chachapoyas</city>, <state>Amazonas</state>, <country country="pe">Peru</country></aff>
<aff id="aff5"><label>5</label><institution>Escuela Profesional de Ingenier&#x00ED;a Forestal, Universidad Nacional Toribio Rodr&#x00ED;guez de Mendoza de Amazonas</institution>, <city>Chachapoyas</city>, <state>Amazonas</state>, <country country="pe">Peru</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Elver Coronel-Castro, <email xlink:href="mailto:elver.coronel@untrm.edu.pe">elver.coronel@untrm.edu.pe</email>; Manuel Oliva-Cruz, <email xlink:href="mailto:manuel.oliva@untrm.edu.pe">manuel.oliva@untrm.edu.pe</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-19">
<day>19</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>9</volume>
<elocation-id>1765957</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>30</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Coronel-Castro, Pariente-Mondrag&#x00F3;n, Rivera, Chac&#x00F3;n, Delgado, Oliva-Cruz and Huam&#x00E1;n-Pilco.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Coronel-Castro, Pariente-Mondrag&#x00F3;n, Rivera, Chac&#x00F3;n, Delgado, Oliva-Cruz and Huam&#x00E1;n-Pilco</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-19">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<p>Forests at the altitudinal limits between seasonally dry tropical forests (SDTF) and montane forests in northeastern Peru are key for biodiversity and ecological connectivity. Sixteen 0.1-ha plots were surveyed along a 1900&#x2013;2700 m a.s.l. gradient, recording 133 species, 76 genera, and 47 families, reflecting high floristic heterogeneity. Diversity indices showed a unimodal pattern, peaking in the transition zone between 2300 and 2500 m (Hill_q1 = 22.36; Hill_q2 = 15.92; estimated richness = 49 species). Diversity decreased at lower SDTF elevations (1900&#x2013;2100 m) and higher montane sites (&#x003E;2500 m), likely due to thermal and water limitations. Species dominance shifted along the gradient: <italic>Vachellia aroma</italic> and <italic>Inga adenophylla</italic> dominated SDTF, whereas <italic>Aiouea montana</italic>, <italic>Clethra revoluta</italic>, and Ilex scopulorum characterized montane forests. Beta diversity revealed pronounced species replacement and highlighted plot S08 as an ecotone with species from both ecosystems. Diameter-class distributions followed an inverted &#x201C;J&#x201D; pattern, indicating active regeneration in both ecosystems, with higher recruitment in SDTF. Altitude drives species replacement and shapes a unimodal diversity pattern. We recommend restoring dominant SDTF species, such as <italic>Vachellia aroma</italic> and <italic>Inga adenophylla</italic>, in degraded lower-elevation areas, and conserving ecotonal belts as altitudinal corridors to enhance biodiversity and climate resilience areas, and conserving ecotonal belts as 32 altitudinal corridors to enhance biodiversity and climate resilience.</p>
</abstract>
<kwd-group>
<kwd>altitudinal gradient</kwd>
<kwd>Chachapoyas</kwd>
<kwd>diversity indices</kwd>
<kwd>floristic diversity</kwd>
<kwd>montane forests</kwd>
<kwd>seasonally dry tropical forest</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This research was primarily funded by Project CUI 2314090, &#x201C;Creation of Herbarium and Plant Species Adaptation Center Services at Toribio Rodr&#x00ED;guez de Mendoza National University - Amazonas Region,&#x201D; and the Vice-Rectorate for Research at Toribio Rodr&#x00ED;guez de Mendoza National University of Amazonas.</funding-statement>
</funding-group>
<counts>
<fig-count count="9"/>
<table-count count="2"/>
<equation-count count="6"/>
<ref-count count="86"/>
<page-count count="15"/>
<word-count count="10716"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Tropical Forests</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Tropical forests play a central role in global climate regulation, carbon cycling, and the maintenance of terrestrial biodiversity, while exhibiting high structural and functional complexity across broad environmental gradients (<xref ref-type="bibr" rid="ref63">Pan et al., 2011</xref>; <xref ref-type="bibr" rid="ref49">Malhi et al., 2010</xref>; <xref ref-type="bibr" rid="ref48">Malhi et al., 2014</xref>). Their distribution and functioning are shaped by the interaction between climate, topography, and edaphic conditions, resulting in pronounced spatial heterogeneity in floristic composition, productivity, and ecological processes (<xref ref-type="bibr" rid="ref32">Girardin et al., 2014</xref>). In this context, climatic and altitudinal gradients within the tropics provide an ideal framework for evaluating forest ecosystem responses to variations in temperature and water availability, factors of particular relevance under scenarios of global climate change (<xref ref-type="bibr" rid="ref49">Malhi et al., 2010</xref>).</p>
<p>Within this broad array of ecosystems, tropical seasonally dry forests (TSDF) represent one of the most distinctive, vulnerable, and yet least studied forest biomes in the Neotropics (<xref ref-type="bibr" rid="ref64">Pennington et al., 2009</xref>; <xref ref-type="bibr" rid="ref21">Dirzo et al., 2011</xref>; <xref ref-type="bibr" rid="ref22">Dryflor et al., 2016</xref>). These forests are characterized by pronounced climatic seasonality, with extended dry periods that impose strong physiological constraints and favor the dominance of species and functional strategies adapted to water stress, such as deciduousness, high wood density, and high water-use efficiency (<xref ref-type="bibr" rid="ref79">S&#x00E1;nchez-Azofeifa et al., 2014</xref>; <xref ref-type="bibr" rid="ref67">Poorter et al., 2016</xref>). Despite these limiting environmental conditions, TSDF harbor high levels of floristic diversity, endemism, and ecological uniqueness, often concentrated within relatively small geographic areas, which has led to their recognition as global priorities for conservation and scientific research (<xref ref-type="bibr" rid="ref64">Pennington et al., 2009</xref>; <xref ref-type="bibr" rid="ref22">Dryflor et al., 2016</xref>).</p>
<p>From a structural and functional perspective, TSDF are commonly dominated by families such as Fabaceae (Leguminosae) and Bignoniaceae, whose species exhibit key adaptations related to biological nitrogen fixation, drought tolerance, and the efficient exploitation of soils with high nutrient variability (<xref ref-type="bibr" rid="ref34">Guzman et al., 2021</xref>). However, despite their ecological importance, these forests have been identified as among the most threatened tropical ecosystems worldwide, with less than 10% of their original extent remaining in many countries. This dramatic reduction is primarily driven by conversion to agricultural and livestock activities, habitat fragmentation, and their limited representation within formal protected area networks (<xref ref-type="bibr" rid="ref58">Miles et al., 2006</xref>; <xref ref-type="bibr" rid="ref36">Hoekstra et al., 2005</xref>; <xref ref-type="bibr" rid="ref22">Dryflor et al., 2016</xref>).</p>
<p>In Peru, inter-Andean tropical seasonally dry forests comprise three major floristic groups&#x2014;coastal, inter-Andean, and eastern forests, reflecting pronounced environmental and biogeographic heterogeneity (<xref ref-type="bibr" rid="ref47">Linares-Palomino et al., 2011</xref>; <xref ref-type="bibr" rid="ref46">Linares-Palomino et al., 2022</xref>). These ecosystems span a wide altitudinal range that, in some regions of northern Peru, exceeds 2,000&#x202F;m&#x202F;a.s.l., particularly in inter-Andean valleys associated with the Mara&#x00F1;&#x00F3;n River basin (<xref ref-type="bibr" rid="ref47">Linares-Palomino et al., 2011</xref>; <xref ref-type="bibr" rid="ref54">Marrufo Huam&#x00E1;n, 2023</xref>). In this region, TSDF exhibit exceptionally high levels of endemism, estimated at approximately 33% of woody plant species, along with pronounced floristic turnover (<xref ref-type="bibr" rid="ref52">Marcelo-Pe&#x00F1;a et al., 2016</xref>; <xref ref-type="bibr" rid="ref53">Marcelo-Pe&#x00F1;a et al., 2025</xref>). These patterns have been attributed to the complex Andean topography and historical processes of climatic isolation that have promoted the evolutionary differentiation of plant communities (<xref ref-type="bibr" rid="ref80">S&#x00E4;rkinen et al., 2012</xref>; <xref ref-type="bibr" rid="ref53">Marcelo-Pe&#x00F1;a et al., 2025</xref>).</p>
<p>Nevertheless, despite their well-recognized biological importance, scientific research on TSDF in Peru remains limited, particularly with regard to systematic ecological studies and analyses across altitudinal gradients. This constraint hampers a comprehensive understanding of their dynamics and limits the development of effective conservation strategies (<xref ref-type="bibr" rid="ref20">Delgado-Paredes et al., 2020</xref>; <xref ref-type="bibr" rid="ref53">Marcelo-Pe&#x00F1;a et al., 2025</xref>). This knowledge gap is reflected in the scarcity of long-term monitoring plots in dry forests, in contrast to the relatively large number of studies and permanent plots established in montane forests. In the department of Amazonas, for example, several floristic assessments based on monitoring plots have been conducted in montane forests (<xref ref-type="bibr" rid="ref4">A&#x00F1;azco Urbina et al., 2021</xref>; <xref ref-type="bibr" rid="ref17">Culqui et al., 2024</xref>; <xref ref-type="bibr" rid="ref78">S&#x00E1;nchez Zamora et al., 2024</xref>), whereas only a single study has specifically focused on the establishment of vegetation monitoring plots in dry forests (<xref ref-type="bibr" rid="ref82">Tarrillo Cieza, 2024</xref>).</p>
<p>In this context, the establishment of evaluation plots in TSDF of northern Peru represents a strategically important initiative to improve ecological knowledge of these highly vulnerable ecosystems. Given the high biodiversity of the Amazonas department and the urgent need to generate baseline information to support conservation efforts, the installation of 16 study plots was undertaken at the altitudinal boundaries between TSDF and montane forest ecosystems in the district of Sonche, Chachapoyas Province. This effort aims to contribute to the characterization of vegetation structure and composition in the dry forests of northeastern Peru.</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>Study area</title>
<p>This study was conducted along the altitudinal boundaries between tropical seasonally dry forest (TSDF) and montane forest ecosystems in the district of Sonche, Chachapoyas Province, northeastern Peru. At the provincial scale, montane forests cover approximately 66.76% of the territory (1,852.78&#x202F;km<sup>2</sup>), whereas dry forest ecosystems account for 33.11% (918.96&#x202F;km<sup>2</sup>). According to the Peruvian life zone map, these dry forests are classified as tropical premontane dry forest, tropical lower montane dry forest, and tropical premontane desert shrubland [<xref ref-type="bibr" rid="ref38">Instituto Nacional de Recursos Naturales (INRENA), 1995</xref>]. In addition, they correspond to the inter-Andean seasonally dry forests of the Mara&#x00F1;&#x00F3;n Valley as defined in the national ecosystem map [<xref ref-type="bibr" rid="ref59">Ministerio del Ambiente (MINAM), 2019</xref>].</p>
<p>Both seasonally dry tropical forests (SDTF) and montane forests in the Amazonas Department provide essential ecosystem services. In particular, SDTF serve as refuges for a high diversity of fauna (<xref ref-type="bibr" rid="ref34">Guzman et al., 2021</xref>; <xref ref-type="bibr" rid="ref15">Coronel-Castro et al., 2024</xref>), contribute to soil stability by reducing erosion and landslide risk, and supply important forest resources such as timber, fuelwood, fruits, and medicinal plants. Moreover, these ecosystems play a key role in hydrological regulation by storing and gradually releasing water into streams and rivers. Nevertheless, these ecosystems face increasing anthropogenic pressures associated with agricultural expansion, illegal logging, forest fires, climate variability, and institutional limitations for sustainable management. These pressures have driven ongoing processes of degradation and fragmentation (<xref ref-type="bibr" rid="ref25">Figueroa et al., 2016</xref>; <xref ref-type="bibr" rid="ref15">Coronel-Castro et al., 2024</xref>), such that currently slightly more than 10% of the area over which this ecosystem is distributed in the province (108.7&#x202F;km<sup>2</sup>) is degraded [<xref ref-type="bibr" rid="ref60">Ministerio del Ambiente (MINAM), 2021</xref>].</p>
<p>At the local scale, the district of Sonche covers an area of approximately 120&#x202F;km<sup>2</sup> and spans an altitudinal range from 1,554 to 2,845&#x202F;m&#x202F;a.s.l. [<xref ref-type="bibr" rid="ref59">Ministerio del Ambiente (MINAM), 2019</xref>]. Two main ecosystem types are recognized within the study area. Tropical seasonally dry forests dominate the landscape, covering nearly 89% of the territory, primarily as tropical premontane dry forest (bs-PT) and tropical lower montane dry forest (bs-MBT). In contrast, montane forests account for the remaining 11% and correspond to tropical lower montane humid forest (bh-MBT) [<xref ref-type="bibr" rid="ref38">Instituto Nacional de Recursos Naturales (INRENA), 1995</xref>].</p>
<p>Climatic and topographic conditions vary markedly along the altitudinal gradient and strongly influence vegetation structure and composition. In lower and mid-elevation areas, where TSDF predominate, conditions are warmer and drier, and the terrain is rugged, characterized by steep slopes, deep valleys, and well-defined ravines (<xref ref-type="bibr" rid="ref75">Rodr&#x00ED;guez Achung et al., 2010</xref>; <xref ref-type="bibr" rid="ref51">Mapcarta, 2025</xref>). Vegetation in these areas is mainly composed of deciduous, spiny, and open-canopy tree species adapted to environmentally restrictive conditions (<xref ref-type="bibr" rid="ref82">Tarrillo Cieza, 2024</xref>). In contrast, higher elevations corresponding to humid montane forests experience lower temperatures and greater moisture availability [<xref ref-type="bibr" rid="ref38">Instituto Nacional de Recursos Naturales (INRENA), 1995</xref>], which favor denser and more structurally complex vegetation with closed canopies and a high abundance of epiphytes, mosses, and ferns (<xref ref-type="bibr" rid="ref78">S&#x00E1;nchez Zamora et al., 2024</xref>).</p>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Establishment of sampling units and tree species inventory</title>
<p>For the establishment of the sampling units, a digital elevation model (DEM) with a spatial resolution of 30&#x202F;m was used (<xref ref-type="bibr" rid="ref24">Farr et al., 2007</xref>). The study area was stratified into four altitudinal classes at 200&#x202F;m intervals (1900&#x2013;2,100, 2,100&#x2013;2,300, 2,300&#x2013;2,500, and 2,500&#x2013;2,700&#x202F;m&#x202F;a.s.l.) (<xref ref-type="fig" rid="fig1">Figure 1</xref>) within a Geographic Information Systems (GIS) environment using ArcGIS software version 10.8 (<xref ref-type="bibr" rid="ref9">Bricca et al., 2025</xref>). The first two strata corresponded to seasonally dry tropical forests, whereas the two upper strata were associated with montane forests. This stratification allowed the sampling design to be structured along the altitudinal gradient and ensured adequate representation of the environmental and ecological conditions of the study area (<xref ref-type="bibr" rid="ref41">Khadanga et al., 2023</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Geographic, ecosystem, and altitudinal location map of the study area and sampling unit installation.</p>
</caption>
<graphic xlink:href="ffgc-09-1765957-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Main panel displays a detailed map of ecosystems in a district of northern Peru, showing sampling points S01&#x2013;S16, ecosystem types colored in green and yellow, and altitude ranges with a legend. Top right inset shows the location of the study area in northern Peru and Ecuador. Center right inset highlights the province within a regional map. Bottom right inset provides a simplified ecosystem map with sampling point distribution. All maps include district boundaries and labeled reference locations.</alt-text>
</graphic>
</fig>
<p>Within each altitudinal stratum, potential plot locations were identified through a spatial selection process in GIS and subsequently refined in the field using a targeted sampling approach. This refinement considered criteria of accessibility, safety, and the presence of continuous and representative forest cover, allowing the exclusion of disturbed or fragmented areas and ensuring comparable environmental conditions within each altitudinal class (<xref ref-type="bibr" rid="ref69">Queinnec et al., 2022</xref>; <xref ref-type="bibr" rid="ref41">Khadanga et al., 2023</xref>).</p>
<p>Based on this procedure, four sampling plots were established per stratum (50&#x202F;&#x00D7;&#x202F;20&#x202F;m; 0.1&#x202F;ha each), following designs widely used in studies of tropical and montane forests (<xref ref-type="bibr" rid="ref27">Fujiki et al., 2016</xref>; <xref ref-type="bibr" rid="ref2">Aguirre Mendoza et al., 2021a</xref>; <xref ref-type="bibr" rid="ref30">Garc&#x00ED;a-Cox et al., 2023</xref>). A minimum distance of 100&#x202F;m was maintained between plots in order to reduce spatial autocorrelation and avoid pseudoreplication (<xref ref-type="bibr" rid="ref74">Rodrigues Silva et al., 2019</xref>; <xref ref-type="bibr" rid="ref3">Aguirre Mendoza et al., 2021b</xref>).</p>
<p>Additionally, to evaluate the representativeness and adequacy of the sampling effort, species accumulation curves were analyzed based on the cumulative increase in species richness as a function of the number of sampled plots per ecosystem (seasonally dry tropical forest and montane forest). This analysis was conducted using randomization procedures in the R statistical environment, employing the vegan and iNEXT packages (<xref ref-type="bibr" rid="ref10">Callaghan et al., 2022</xref>; <xref ref-type="bibr" rid="ref78">S&#x00E1;nchez Zamora et al., 2024</xref>; <xref ref-type="bibr" rid="ref73">Repetto et al., 2024</xref>). The tendency of the curves to approach an asymptote was used as an indicator of sampling completeness, whereas the lack of stabilization was interpreted as a limitation of the applied effort (<xref ref-type="bibr" rid="ref13">Castro-Souza et al., 2024</xref>). Within each plot, all tree with a diameter at breast height (DBH)&#x202F;&#x2265;&#x202F;10&#x202F;cm, measured at 1.30 meters above the base of the trunk, were assessed. For each individual, an identification code, total height, and bole height were recorded, following standardized protocols (<xref ref-type="bibr" rid="ref74">Rodrigues Silva et al., 2019</xref>; <xref ref-type="bibr" rid="ref84">Toasa et al., 2020</xref>). Tree species were identified directly in the field by botanists experienced in the local flora, based on the recognition of vegetative and reproductive morphological characters. When necessary, identifications were verified using specialized taxonomic literature and reference collections, following standard procedures commonly applied in tropical and montane forest inventories (<xref ref-type="bibr" rid="ref28">Gaem et al., 2022</xref>; <xref ref-type="bibr" rid="ref30">Garc&#x00ED;a-Cox et al., 2023</xref>).</p>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>Data processing and analysis</title>
<p>The tree composition of the montane forests was analyzed by estimating species richness (S) through the direct count of the total number of recorded families, genera, and species, which constitutes a basic yet fundamental measure for characterizing local floristic diversity (<xref ref-type="bibr" rid="ref12">Carvajal-Hern&#x00E1;ndez et al., 2014</xref>; <xref ref-type="bibr" rid="ref70">Ram&#x00ED;rez Huila and Ayov&#x00ED; Garces, 2022</xref>). Additionally, the Importance Value Index (IVI) was estimated for each species by combining three structural components: relative abundance (RA), relative frequency (RF), and relative dominance (RD), the latter based on the total basal area of each species. The IVI was then used to compare the most representative species along the altitudinal gradient, allowing the identification of those with the highest ecological relevance, following the approach proposed by <xref ref-type="bibr" rid="ref86">Yeboah et al. (2022)</xref>. To calculate the IVI, the following formula was used:<disp-formula id="E1">
<mml:math id="M1">
<mml:msub>
<mml:mi>IVI</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:msub>
<mml:mi>RA</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:msub>
<mml:mi>RF</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:msub>
<mml:mi>RD</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:math>
</disp-formula></p>
<p>Where:<disp-formula id="E2">
<mml:math id="M2">
<mml:msub>
<mml:mi>RA</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mtext>Number of individuals of species</mml:mtext>
<mml:mspace width="0.25em"/>
<mml:mi>i</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>Total number of</mml:mtext>
<mml:mspace width="0.25em"/>
<mml:mi>all</mml:mi>
<mml:mspace width="0.25em"/>
<mml:mtext>individuals</mml:mtext>
</mml:mrow>
</mml:mfrac>
<mml:mi mathvariant="normal">x</mml:mi>
<mml:mspace width="0.25em"/>
<mml:mn>100</mml:mn>
</mml:math>
</disp-formula><disp-formula id="E3">
<mml:math id="M3">
<mml:msub>
<mml:mi>RF</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mtext>Number of plots in which</mml:mtext>
<mml:mspace width="0.25em"/>
<mml:mi mathvariant="normal">a</mml:mi>
<mml:mspace width="0.25em"/>
<mml:mtext>species is found</mml:mtext>
</mml:mrow>
<mml:mrow>
<mml:mtext>Total number of</mml:mtext>
<mml:mspace width="0.25em"/>
<mml:mspace width="0.25em"/>
<mml:mtext>plots</mml:mtext>
</mml:mrow>
</mml:mfrac>
<mml:mi mathvariant="normal">x</mml:mi>
<mml:mspace width="0.25em"/>
<mml:mn>100</mml:mn>
</mml:math>
</disp-formula><disp-formula id="E4">
<mml:math id="M4">
<mml:msub>
<mml:mi>RD</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mtext>Total basal area of species</mml:mtext>
<mml:mspace width="0.25em"/>
<mml:mi>i</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>Total basal area of</mml:mtext>
<mml:mspace width="0.25em"/>
<mml:mi>all</mml:mi>
<mml:mspace width="0.25em"/>
<mml:mtext>species</mml:mtext>
</mml:mrow>
</mml:mfrac>
<mml:mi mathvariant="normal">x</mml:mi>
<mml:mspace width="0.25em"/>
<mml:mn>100</mml:mn>
</mml:math>
</disp-formula></p>
<p>Alpha diversity was assessed using the Hill numbers framework, which parsimoniously integrates traditional diversity metrics (Shannon and Simpson) within a unified framework of effective diversity. This approach allows comparisons of species richness (q&#x202F;=&#x202F;0), abundance-weighted diversity (q&#x202F;=&#x202F;1), and the dominance of common species (q&#x202F;=&#x202F;2), thereby reducing redundancy among indices and facilitating consistent ecological interpretations across ecosystems and altitudinal strata (<xref ref-type="bibr" rid="ref37">Hsieh et al., 2016</xref>; <xref ref-type="bibr" rid="ref66">Penny et al., 2025</xref>). The equation applied was as follows:<disp-formula id="E5">
<mml:math id="M5">
<mml:mi mathvariant="normal">D</mml:mi>
<mml:mo>=</mml:mo>
<mml:msup>
<mml:mrow>
<mml:mo stretchy="true">(</mml:mo>
<mml:msubsup>
<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:mi>i</mml:mi>
<mml:mo>=</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mi>S</mml:mi>
</mml:msubsup>
<mml:msub>
<mml:mi>p</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
<mml:msup>
<mml:mrow>
<mml:mo stretchy="true">(</mml:mo>
<mml:mi mathvariant="italic">ri</mml:mi>
<mml:mo stretchy="true">)</mml:mo>
</mml:mrow>
<mml:mi>&#x2113;</mml:mi>
</mml:msup>
<mml:mo stretchy="true">)</mml:mo>
</mml:mrow>
<mml:mrow>
<mml:mn>1</mml:mn>
<mml:mo>/</mml:mo>
<mml:mi>&#x2113;</mml:mi>
</mml:mrow>
</mml:msup>
</mml:math>
</disp-formula></p>
<p>Where <italic>D</italic> is diversity, <italic>S</italic> is the number of species, <italic>p&#x1D62;</italic> is the proportion of all individuals belonging to species <italic>i</italic>, <italic>ri</italic> is the rarity of species <italic>i</italic>, defined as 1/<italic>p&#x1D62;</italic>, and &#x2113; is the exponent that determines the scale of rarity over which the mean is taken (<xref ref-type="bibr" rid="ref77">Roswell et al., 2021</xref>).</p>
<p>In addition, beta diversity was assessed using the S&#x00F8;rensen similarity index (S), based on presence&#x2013;absence matrices of tree species among plots and across altitudinal strata. This index allowed the quantification of floristic turnover along the altitudinal gradient and represents a synthetic, robust, and widely used metric in studies comparing plant communities (<xref ref-type="bibr" rid="ref12">Carvajal-Hern&#x00E1;ndez et al., 2014</xref>; <xref ref-type="bibr" rid="ref40">Karami et al., 2021</xref>):<disp-formula id="E6">
<mml:math id="M6">
<mml:mi>S</mml:mi>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mn>2</mml:mn>
<mml:mi>a</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mn>2</mml:mn>
<mml:mi>a</mml:mi>
<mml:mo>+</mml:mo>
<mml:mi>b</mml:mi>
<mml:mo>+</mml:mo>
<mml:mi>c</mml:mi>
</mml:mrow>
</mml:mfrac>
</mml:math>
</disp-formula></p>
<p>Where a represents the number of shared species between two sites, and b and c correspond to the species exclusive to each site (<xref ref-type="bibr" rid="ref40">Karami et al., 2021</xref>).</p>
<p>Forest structure was characterized through the distribution of individuals into diameter classes (5-cm intervals) (<xref ref-type="bibr" rid="ref19">De C&#x00E1;ceres et al., 2019</xref>; <xref ref-type="bibr" rid="ref1">Abreu Neto et al., 2021</xref>) and height classes (5-m intervals) (<xref ref-type="bibr" rid="ref39">Junyan et al., 2014</xref>), which allowed identifying structural trends, regeneration patterns, and successional stages of the forest.</p>
<p>Finally, a Multiple Correspondence Analysis (MCA) was performed using the FactoMineR package in RStudio v4.4.1 (<xref ref-type="bibr" rid="ref44">L&#x00EA; et al., 2008</xref>) to explore the associations among the abundance of taxonomic families, DBH classes, height classes, and altitudinal ranges. This analysis focused on the most dominant taxonomic families, enabling the identification of key structural and ecological patterns in relation to the environmental gradient.</p>
</sec>
</sec>
<sec sec-type="results" id="sec6">
<label>3</label>
<title>Results</title>
<sec id="sec7">
<label>3.1</label>
<title>Effort and representativeness of floristic sampling</title>
<p>The species accumulation curve estimated for the SDTF of the Sonche district, fitted using the Clench model, showed a progressive increase in species richness as the sampled area increased. The shape of the curve exhibited a clear tendency toward saturation, although it did not fully reach the asymptote. The estimated total richness (S&#x002A;&#x202F;=&#x202F;79.51 species) exceeded the observed number of species, suggesting the presence of additional species that were not recorded during sampling. Similarly, in montane forests, the species accumulation curve displayed a progressive trend toward stabilization as the sampled area increased. The initial increase in richness was rapid, followed by a gradual decrease in slope, indicating a reduction in the rate of incorporation of new species. The approach of the curve to the estimated asymptote (S&#x002A;&#x202F;=&#x202F;126.78) suggests that the applied sampling effort was adequate to capture a representative proportion of the floristic diversity of this ecosystem. Overall, although complete stabilization was not achieved in either case, the results indicate that the sampling effort was sufficient to describe general diversity patterns, while acknowledging that increased sampling could allow the detection of additional species (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Species&#x2013;area curves fitted to Clench&#x2019;s model in SDTF and montane forests in the Sonche district.</p>
</caption>
<graphic xlink:href="ffgc-09-1765957-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Line chart compares species richness against cumulative area for two ecosystems, MF and SDTF, using the Clench model. MF shows higher species richness, reaching 126.78, while SDTF reaches 79.51. Chart includes fitted lines, parameter values, legends, and horizontal dashed lines indicating saturating species richness for each ecosystem.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec8">
<label>3.2</label>
<title>Tree composition</title>
<p>In the forests of the Sonche district, 133 tree species were recorded, belonging to 47 families and 76 genera (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>). Species, genus, and family richness exhibited a pattern clearly structured by elevation and ecosystem type (<xref ref-type="fig" rid="fig3">Figures 3a</xref>&#x2013;<xref ref-type="fig" rid="fig3">c</xref>), reflecting a pronounced floristic differentiation along the gradient. In seasonally dry tropical forests, occurring between 1,900 and 2,300&#x202F;m&#x202F;a.s.l., the lowest levels of tree diversity were observed, consistent with the more restrictive climatic conditions of this altitudinal belt. In contrast, the 2,300&#x2013;2,500&#x202F;m&#x202F;a.s.l. interval, corresponding to montane forests, concentrated the highest floristic richness, indicating more favorable environmental conditions for the establishment and coexistence of a greater number of taxa. Above 2,500&#x202F;m&#x202F;a.s.l., a slight decline in tree richness was recorded, suggesting a possible combined effect of lower temperatures and edaphic limitations. Overall, these results reveal a unimodal richness pattern along the altitudinal gradient, with a peak in the mid-montane zone and a decline at both the lower dry forest elevations and the uppermost altitudes.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Richness of tree flora in the forests of the Sonche district along different altitudinal gradients: <bold>(a)</bold> species richness, <bold>(b)</bold> genus richness, and <bold>(c)</bold> family richness.</p>
</caption>
<graphic xlink:href="ffgc-09-1765957-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar chart labeled (a) compares species numbers across sixteen S plots divided by elevation ranges, showing higher species counts in mid and higher elevations. Pie chart (b) displays relative genus proportions per plot with a legend linking slices to plots and elevation bands. Horizontal bar chart (c) shows family counts per plot, with plots at higher elevations generally having more families.</alt-text>
</graphic>
</fig>
<sec id="sec9">
<label>3.2.1</label>
<title>Importance value index</title>
<p><xref ref-type="table" rid="tab1">Table 1</xref> presents the Importance Value Index (IVI) of tree species along the altitudinal gradient from 1900 to 2,700&#x202F;m&#x202F;a.s.l. in the forests of the Sonche district. In the lower altitude range (1900&#x2013;2,100&#x202F;m), <italic>Vachellia aroma</italic> exhibited the highest IVI (12.97), associated with its high abundance and relative dominance, followed by <italic>Inga adenophylla</italic> and <italic>Clusia rigida</italic>, wich consistently contributed to the characteristic forest structure of SDTF. Between 2,100 and 2,300&#x202F;m, <italic>Escallonia paniculata</italic> and <italic>Myrsine oligophylla</italic> reached the highest IVI values (&#x003E;10), reflecting a floristic transition with a progressively more uniform distribution of dominance among various taxa. In the 2,300&#x2013;2,500&#x202F;m range, <italic>Aiouea montana</italic> stood out for its high structural dominance, while <italic>Ilex scopulorum</italic> and <italic>Hieronyma oblonga</italic> maintained intermediate values. Finally, at 2500&#x2013;2700&#x202F;m, <italic>Clethra revoluta</italic> and <italic>Clusia hylaeae</italic> were the most important tree species. These patterns confirm a well-defined altitudinal floristic succession and high structural complexity within the ecosystem.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Tree species with the highest Importance Value Index (IVI) by altitudinal range in the forests of the Sonche district, northeastern Peru.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Altitude range (m.a.l.s)</th>
<th align="left" valign="top">Species</th>
<th align="center" valign="top">AA</th>
<th align="center" valign="top">RA (%)</th>
<th align="center" valign="top">AF</th>
<th align="center" valign="top">RF (%)</th>
<th align="center" valign="top">AD</th>
<th align="center" valign="top">RD (%)</th>
<th align="center" valign="top">IVI</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="10">1900&#x2013;2,100</td>
<td align="left" valign="top"><italic>Vachellia aroma</italic></td>
<td align="char" valign="middle" char=".">54.00</td>
<td align="char" valign="middle" char=".">18.00</td>
<td align="char" valign="middle" char=".">4.00</td>
<td align="char" valign="middle" char=".">5.33</td>
<td align="char" valign="middle" char=".">9.83</td>
<td align="char" valign="middle" char=".">15.58</td>
<td align="char" valign="middle" char=".">12.97</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Inga adenophylla</italic></td>
<td align="char" valign="middle" char=".">22.00</td>
<td align="char" valign="middle" char=".">7.33</td>
<td align="char" valign="middle" char=".">4.00</td>
<td align="char" valign="middle" char=".">5.33</td>
<td align="char" valign="middle" char=".">6.12</td>
<td align="char" valign="middle" char=".">9.70</td>
<td align="char" valign="middle" char=".">7.46</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Clusia rigida</italic></td>
<td align="char" valign="middle" char=".">29.00</td>
<td align="char" valign="middle" char=".">9.67</td>
<td align="char" valign="middle" char=".">4.00</td>
<td align="char" valign="middle" char=".">5.33</td>
<td align="char" valign="middle" char=".">4.00</td>
<td align="char" valign="middle" char=".">6.34</td>
<td align="char" valign="middle" char=".">7.11</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Ficus maroma</italic></td>
<td align="char" valign="middle" char=".">12.00</td>
<td align="char" valign="middle" char=".">4.00</td>
<td align="char" valign="middle" char=".">2.00</td>
<td align="char" valign="middle" char=".">2.67</td>
<td align="char" valign="middle" char=".">5.57</td>
<td align="char" valign="middle" char=".">8.83</td>
<td align="char" valign="middle" char=".">5.16</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Vernonanthura patens</italic></td>
<td align="char" valign="middle" char=".">20.00</td>
<td align="char" valign="middle" char=".">6.67</td>
<td align="char" valign="middle" char=".">3.00</td>
<td align="char" valign="middle" char=".">4.00</td>
<td align="char" valign="middle" char=".">2.98</td>
<td align="char" valign="middle" char=".">4.72</td>
<td align="char" valign="middle" char=".">5.13</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Buddleja longifolia</italic></td>
<td align="char" valign="middle" char=".">17.00</td>
<td align="char" valign="middle" char=".">5.67</td>
<td align="char" valign="middle" char=".">3.00</td>
<td align="char" valign="middle" char=".">4.00</td>
<td align="char" valign="middle" char=".">2.99</td>
<td align="char" valign="middle" char=".">4.74</td>
<td align="char" valign="middle" char=".">4.80</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Escallonia pendula</italic></td>
<td align="char" valign="middle" char=".">10.00</td>
<td align="char" valign="middle" char=".">3.33</td>
<td align="char" valign="middle" char=".">3.00</td>
<td align="char" valign="middle" char=".">4.00</td>
<td align="char" valign="middle" char=".">4.13</td>
<td align="char" valign="middle" char=".">6.55</td>
<td align="char" valign="middle" char=".">4.63</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Allophylus densiflorus</italic></td>
<td align="char" valign="middle" char=".">15.00</td>
<td align="char" valign="middle" char=".">5.00</td>
<td align="char" valign="middle" char=".">3.00</td>
<td align="char" valign="middle" char=".">4.00</td>
<td align="char" valign="middle" char=".">2.72</td>
<td align="char" valign="middle" char=".">4.31</td>
<td align="char" valign="middle" char=".">4.44</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Ficus maxima</italic></td>
<td align="char" valign="middle" char=".">11.00</td>
<td align="char" valign="middle" char=".">3.67</td>
<td align="char" valign="middle" char=".">2.00</td>
<td align="char" valign="middle" char=".">2.67</td>
<td align="char" valign="middle" char=".">4.26</td>
<td align="char" valign="middle" char=".">6.75</td>
<td align="char" valign="middle" char=".">4.36</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Solanum asperolanatum</italic></td>
<td align="char" valign="middle" char=".">12.00</td>
<td align="char" valign="middle" char=".">4.00</td>
<td align="char" valign="middle" char=".">4.00</td>
<td align="char" valign="middle" char=".">5.33</td>
<td align="char" valign="middle" char=".">1.30</td>
<td align="char" valign="middle" char=".">2.06</td>
<td align="char" valign="middle" char=".">3.80</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="10">2,100&#x2013;2,300</td>
<td align="left" valign="top"><italic>Escallonia paniculata</italic></td>
<td align="char" valign="middle" char=".">45.00</td>
<td align="char" valign="middle" char=".">14.24</td>
<td align="char" valign="middle" char=".">3.00</td>
<td align="char" valign="middle" char=".">4.17</td>
<td align="char" valign="middle" char=".">6.51</td>
<td align="char" valign="middle" char=".">13.65</td>
<td align="char" valign="middle" char=".">10.68</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Myrsine oligophylla</italic></td>
<td align="char" valign="middle" char=".">46.00</td>
<td align="char" valign="middle" char=".">14.56</td>
<td align="char" valign="middle" char=".">4.00</td>
<td align="char" valign="middle" char=".">5.56</td>
<td align="char" valign="middle" char=".">4.82</td>
<td align="char" valign="middle" char=".">10.10</td>
<td align="char" valign="middle" char=".">10.07</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Vachellia aroma</italic></td>
<td align="char" valign="middle" char=".">26.00</td>
<td align="char" valign="middle" char=".">8.23</td>
<td align="char" valign="middle" char=".">3.00</td>
<td align="char" valign="middle" char=".">4.17</td>
<td align="char" valign="middle" char=".">5.91</td>
<td align="char" valign="middle" char=".">12.39</td>
<td align="char" valign="middle" char=".">8.26</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Vernonanthura patens</italic></td>
<td align="char" valign="middle" char=".">27.00</td>
<td align="char" valign="middle" char=".">8.54</td>
<td align="char" valign="middle" char=".">4.00</td>
<td align="char" valign="middle" char=".">5.56</td>
<td align="char" valign="middle" char=".">3.06</td>
<td align="char" valign="middle" char=".">6.42</td>
<td align="char" valign="middle" char=".">6.84</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Allophylus densiflorus</italic></td>
<td align="char" valign="middle" char=".">20.00</td>
<td align="char" valign="middle" char=".">6.33</td>
<td align="char" valign="middle" char=".">2.00</td>
<td align="char" valign="middle" char=".">2.78</td>
<td align="char" valign="middle" char=".">4.25</td>
<td align="char" valign="middle" char=".">8.91</td>
<td align="char" valign="middle" char=".">6.01</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Clusia rigida</italic></td>
<td align="char" valign="middle" char=".">24.00</td>
<td align="char" valign="middle" char=".">7.59</td>
<td align="char" valign="middle" char=".">3.00</td>
<td align="char" valign="middle" char=".">4.17</td>
<td align="char" valign="middle" char=".">2.40</td>
<td align="char" valign="middle" char=".">5.03</td>
<td align="char" valign="middle" char=".">5.60</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Alnus acuminata</italic></td>
<td align="char" valign="middle" char=".">11.00</td>
<td align="char" valign="middle" char=".">3.48</td>
<td align="char" valign="middle" char=".">3.00</td>
<td align="char" valign="middle" char=".">4.17</td>
<td align="char" valign="middle" char=".">3.68</td>
<td align="char" valign="middle" char=".">7.71</td>
<td align="char" valign="middle" char=".">5.12</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Roupala monosperma</italic></td>
<td align="char" valign="middle" char=".">18.00</td>
<td align="char" valign="middle" char=".">5.70</td>
<td align="char" valign="middle" char=".">2.00</td>
<td align="char" valign="middle" char=".">2.78</td>
<td align="char" valign="middle" char=".">2.60</td>
<td align="char" valign="middle" char=".">5.45</td>
<td align="char" valign="middle" char=".">4.64</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Mauria peruviana</italic></td>
<td align="char" valign="middle" char=".">13.00</td>
<td align="char" valign="middle" char=".">4.11</td>
<td align="char" valign="middle" char=".">4.00</td>
<td align="char" valign="middle" char=".">5.56</td>
<td align="char" valign="middle" char=".">1.30</td>
<td align="char" valign="middle" char=".">2.73</td>
<td align="char" valign="middle" char=".">4.13</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Ferreyranthus excelsus</italic></td>
<td align="char" valign="middle" char=".">6.00</td>
<td align="char" valign="middle" char=".">1.90</td>
<td align="char" valign="middle" char=".">3.00</td>
<td align="char" valign="middle" char=".">4.17</td>
<td align="char" valign="middle" char=".">0.80</td>
<td align="char" valign="middle" char=".">1.68</td>
<td align="char" valign="middle" char=".">2.58</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="10">2,300&#x2013;2,500</td>
<td align="left" valign="top"><italic>Aiouea montana</italic></td>
<td align="char" valign="middle" char=".">50.00</td>
<td align="char" valign="middle" char=".">10.48</td>
<td align="char" valign="middle" char=".">4.00</td>
<td align="char" valign="middle" char=".">3.01</td>
<td align="char" valign="middle" char=".">18.55</td>
<td align="char" valign="middle" char=".">15.30</td>
<td align="char" valign="middle" char=".">9.60</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Ilex scopulorum</italic></td>
<td align="char" valign="middle" char=".">30.00</td>
<td align="char" valign="middle" char=".">6.29</td>
<td align="char" valign="middle" char=".">4.00</td>
<td align="char" valign="middle" char=".">3.01</td>
<td align="char" valign="middle" char=".">10.22</td>
<td align="char" valign="middle" char=".">8.43</td>
<td align="char" valign="middle" char=".">5.91</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Hieronyma oblonga</italic></td>
<td align="char" valign="middle" char=".">24.00</td>
<td align="char" valign="middle" char=".">5.03</td>
<td align="char" valign="middle" char=".">4.00</td>
<td align="char" valign="middle" char=".">3.01</td>
<td align="char" valign="middle" char=".">7.64</td>
<td align="char" valign="middle" char=".">6.30</td>
<td align="char" valign="middle" char=".">4.78</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Critiomopsis pycnantha</italic></td>
<td align="char" valign="middle" char=".">25.00</td>
<td align="char" valign="middle" char=".">5.24</td>
<td align="char" valign="middle" char=".">3.00</td>
<td align="char" valign="middle" char=".">2.26</td>
<td align="char" valign="middle" char=".">7.12</td>
<td align="char" valign="middle" char=".">5.87</td>
<td align="char" valign="middle" char=".">4.46</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Myrcianthes rhopaloides</italic></td>
<td align="char" valign="middle" char=".">21.00</td>
<td align="char" valign="middle" char=".">4.40</td>
<td align="char" valign="middle" char=".">4.00</td>
<td align="char" valign="middle" char=".">3.01</td>
<td align="char" valign="middle" char=".">4.96</td>
<td align="char" valign="middle" char=".">4.09</td>
<td align="char" valign="middle" char=".">3.83</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Cyathea austropallescens</italic></td>
<td align="char" valign="middle" char=".">25.00</td>
<td align="char" valign="middle" char=".">5.24</td>
<td align="char" valign="middle" char=".">4.00</td>
<td align="char" valign="middle" char=".">3.01</td>
<td align="char" valign="middle" char=".">3.53</td>
<td align="char" valign="middle" char=".">2.91</td>
<td align="char" valign="middle" char=".">3.72</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Clusia multiflora</italic></td>
<td align="char" valign="middle" char=".">23.00</td>
<td align="char" valign="middle" char=".">4.82</td>
<td align="char" valign="middle" char=".">3.00</td>
<td align="char" valign="middle" char=".">2.26</td>
<td align="char" valign="middle" char=".">4.58</td>
<td align="char" valign="middle" char=".">3.78</td>
<td align="char" valign="middle" char=".">3.62</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Clethra revoluta</italic></td>
<td align="char" valign="middle" char=".">15.00</td>
<td align="char" valign="middle" char=".">3.14</td>
<td align="char" valign="middle" char=".">4.00</td>
<td align="char" valign="middle" char=".">3.01</td>
<td align="char" valign="middle" char=".">4.70</td>
<td align="char" valign="middle" char=".">3.88</td>
<td align="char" valign="middle" char=".">3.34</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Mollinedia lanceolata</italic></td>
<td align="char" valign="middle" char=".">19.00</td>
<td align="char" valign="middle" char=".">3.98</td>
<td align="char" valign="middle" char=".">3.00</td>
<td align="char" valign="middle" char=".">2.26</td>
<td align="char" valign="middle" char=".">3.02</td>
<td align="char" valign="middle" char=".">2.49</td>
<td align="char" valign="middle" char=".">2.91</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Cyathea caracasana</italic></td>
<td align="char" valign="middle" char=".">16.00</td>
<td align="char" valign="middle" char=".">3.35</td>
<td align="char" valign="middle" char=".">4.00</td>
<td align="char" valign="middle" char=".">3.01</td>
<td align="char" valign="middle" char=".">2.40</td>
<td align="char" valign="middle" char=".">1.98</td>
<td align="char" valign="middle" char=".">2.78</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="10">2,500&#x2013;2,700</td>
<td align="left" valign="top"><italic>Clethra revoluta</italic></td>
<td align="char" valign="middle" char=".">34.00</td>
<td align="char" valign="middle" char=".">7.85</td>
<td align="char" valign="top" char=".">4.00</td>
<td align="char" valign="top" char=".">3.45</td>
<td align="char" valign="top" char=".">7.13</td>
<td align="char" valign="top" char=".">8.17</td>
<td align="char" valign="top" char=".">6.49</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Clusia hylaeae</italic></td>
<td align="char" valign="top" char=".">21.00</td>
<td align="char" valign="top" char=".">4.85</td>
<td align="char" valign="top" char=".">3.00</td>
<td align="char" valign="top" char=".">2.59</td>
<td align="char" valign="top" char=".">6.70</td>
<td align="char" valign="top" char=".">7.68</td>
<td align="char" valign="top" char=".">5.04</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Hieronyma oblonga</italic></td>
<td align="char" valign="top" char=".">18.00</td>
<td align="char" valign="top" char=".">4.16</td>
<td align="char" valign="top" char=".">4.00</td>
<td align="char" valign="top" char=".">3.45</td>
<td align="char" valign="top" char=".">5.37</td>
<td align="char" valign="top" char=".">6.16</td>
<td align="char" valign="top" char=".">4.59</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Ilex quitensis</italic></td>
<td align="char" valign="top" char=".">29.00</td>
<td align="char" valign="top" char=".">6.70</td>
<td align="char" valign="top" char=".">3.00</td>
<td align="char" valign="top" char=".">2.59</td>
<td align="char" valign="top" char=".">3.70</td>
<td align="char" valign="top" char=".">4.24</td>
<td align="char" valign="top" char=".">4.51</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Hesperomeles ferruginea</italic></td>
<td align="char" valign="top" char=".">28.00</td>
<td align="char" valign="top" char=".">6.47</td>
<td align="char" valign="top" char=".">2.00</td>
<td align="char" valign="top" char=".">1.72</td>
<td align="char" valign="top" char=".">4.07</td>
<td align="char" valign="top" char=".">4.67</td>
<td align="char" valign="top" char=".">4.29</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Alchornea triplinervia</italic></td>
<td align="char" valign="top" char=".">13.00</td>
<td align="char" valign="top" char=".">3.00</td>
<td align="char" valign="top" char=".">2.00</td>
<td align="char" valign="top" char=".">1.72</td>
<td align="char" valign="top" char=".">6.21</td>
<td align="char" valign="top" char=".">7.12</td>
<td align="char" valign="top" char=".">3.95</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Cyathea delgadii</italic></td>
<td align="char" valign="top" char=".">22.00</td>
<td align="char" valign="top" char=".">5.08</td>
<td align="char" valign="top" char=".">3.00</td>
<td align="char" valign="top" char=".">2.59</td>
<td align="char" valign="top" char=".">3.27</td>
<td align="char" valign="top" char=".">3.75</td>
<td align="char" valign="top" char=".">3.81</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Miconia neriifolia</italic></td>
<td align="char" valign="top" char=".">19.00</td>
<td align="char" valign="top" char=".">4.39</td>
<td align="char" valign="top" char=".">3.00</td>
<td align="char" valign="top" char=".">2.59</td>
<td align="char" valign="top" char=".">2.78</td>
<td align="char" valign="top" char=".">3.19</td>
<td align="char" valign="top" char=".">3.39</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Nectandra laurel</italic></td>
<td align="char" valign="top" char=".">15.00</td>
<td align="char" valign="top" char=".">3.46</td>
<td align="char" valign="top" char=".">4.00</td>
<td align="char" valign="top" char=".">3.45</td>
<td align="char" valign="top" char=".">2.83</td>
<td align="char" valign="top" char=".">3.24</td>
<td align="char" valign="top" char=".">3.39</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Myrcianthes myrsinoides</italic></td>
<td align="char" valign="top" char=".">18.00</td>
<td align="char" valign="top" char=".">4.16</td>
<td align="char" valign="top" char=".">2.00</td>
<td align="char" valign="top" char=".">1.72</td>
<td align="char" valign="top" char=".">2.85</td>
<td align="char" valign="top" char=".">3.27</td>
<td align="char" valign="top" char=".">3.05</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec10">
<label>3.2.2</label>
<title>Predominance of tree flora by altitude gradient</title>
<p>The predominance of tree species in the forests of Sonche is influenced by elevation and the ecological characteristics of the ecosystem (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>; <xref ref-type="table" rid="tab1">Table 1</xref>). In the altitudinal range of 1900&#x2013;2,100&#x202F;m&#x202F;a.s.l., there is a high dominance of species adapted to dry and warm conditions, including <italic>Vachellia aroma</italic>, <italic>Clusia rigida</italic>, <italic>Inga adenophylla</italic>, <italic>Vernonanthura patens</italic>, and <italic>Buddleja longifolia</italic> (<xref ref-type="fig" rid="fig4">Figure 4a</xref>). In the 2,100&#x2013;2,300&#x202F;m range, the floristic composition reflects a transition zone toward humid montane forest. Although important records of species typical of dry environments were still found, such as <italic>Vachellia aroma</italic>, <italic>Clusia rigida</italic>, and <italic>Vernonanthura patens</italic>, the most abundant species were <italic>Myrsine oligophylla</italic> and <italic>Escallonia paniculata</italic>, which indicate the presence of more temperate and humid conditions (<xref ref-type="fig" rid="fig4">Figure 4b</xref>). Between 2,300 and 2,500&#x202F;m&#x202F;a.s.l., the presence of species characteristic of humid montane forests increases, including <italic>Aiouea montana</italic>, <italic>Ilex scopulorum</italic>, <italic>Critoniopsis pycnantha</italic>, <italic>Cyathea austropallescens</italic>, <italic>Hieronyma oblonga</italic>, and <italic>Clusia multiflora</italic> (<xref ref-type="fig" rid="fig4">Figure 4c</xref>). Finally, in the 2,500&#x2013;2,700&#x202F;m altitudinal range, species typical of high and cold environments prevail, such as <italic>Clethra revoluta</italic>, <italic>Ilex quitensis</italic>, <italic>Hesperomeles ferruginea</italic>, <italic>Cyathea delgadii</italic>, and <italic>Clusia hylaeae</italic> (<xref ref-type="fig" rid="fig4">Figure 4c</xref>). This pattern demonstrates floristic turnover along the altitudinal gradient, primarily driven by variations in temperature, humidity, and forest structure, factors that directly influence the composition and distribution of tree communities.</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Rank&#x2013;abundance curves of tree species across different altitudinal gradients in the forests of the Sonche district: <bold>(a)</bold> 1900&#x2013;2100&#x202F;m&#x202F;a.s.l., <bold>(b)</bold> 2100&#x2013;2300&#x202F;m&#x202F;a.s.l., <bold>(c)</bold> 2300&#x2013;2500&#x202F;m&#x202F;a.s.l., and <bold>(d)</bold> 2500&#x2013;2700&#x202F;m&#x202F;a.s.l.</p>
</caption>
<graphic xlink:href="ffgc-09-1765957-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Four line graphs depict species abundance versus species rank for different groups, each labeled (a) through (d). Key species are annotated at peaks on each graph. Abundance decreases as species rank increases.</alt-text>
</graphic>
</fig>
<p>Distribution of tree flora by ecosystem of the 15 most important tree species recorded in the forests of the Sonche district, 11 were found exclusively in a single ecosystem, indicating a marked ecological segregation. Six species were restricted to dry forests, while <italic>Escallonia paniculata</italic>, although present in montane forests, showed a strong preference for dry forests, reflecting the dominance of certain species in this ecosystem. Standardizing the data as percentages allows for comparison of the relative contribution of each ecosystem, highlighting species&#x2019; ecological specialization and emphasizing the complementary importance of dry and montane forests for the conservation of local tree diversity (<xref ref-type="fig" rid="fig5">Figure 5</xref>).</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Relative abundance of the most important tree species in the forests of the Sonche district in relation to ecosystem type.</p>
</caption>
<graphic xlink:href="ffgc-09-1765957-g005.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar chart comparing the frequency percentage of 16 plant species across two ecosystems, montane forest and dry forest, with most species predominantly associated with only one ecosystem; legend specifies color coding.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="sec11">
<label>3.3</label>
<title>Diversity indices</title>
<sec id="sec12">
<label>3.3.1</label>
<title>Alpha diversity</title>
<p>The results of the alpha diversity analysis based on Hill numbers, presented in <xref ref-type="table" rid="tab2">Table 2</xref>, reveal contrasting patterns between SDTF and montane forests. In the SDTF (1900&#x2013;2,300&#x202F;m&#x202F;a.s.l.), alpha diversity was moderate, although clear variations were observed between the two altitudinal ranges evaluated. In plots located between 1900 and 2,100&#x202F;m&#x202F;a.s.l. (S01&#x2013;S04), species richness (Hill q0) was relatively high and homogeneous (17&#x2013;23 species), accompanied by moderate values of Hill q1 and q2, suggesting communities with intermediate evenness and moderate dominance.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Alpha diversity of tree communities in seasonally dry tropical forests (SDTF) and montane forests in the district of Sonche, Chachapoyas Province, estimated using Hill numbers (q0: species richness; q1: Shannon effective diversity; q2: Simpson effective diversity).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Sampling plots</th>
<th align="center" valign="top">Hill_q0</th>
<th align="center" valign="top">Hill_q1</th>
<th align="center" valign="top">Hill_q2</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">S01</td>
<td align="center" valign="middle">23</td>
<td align="char" valign="middle" char=".">15.8770</td>
<td align="char" valign="middle" char=".">10.9523</td>
</tr>
<tr>
<td align="left" valign="middle">S02</td>
<td align="center" valign="middle">17</td>
<td align="char" valign="middle" char=".">11.3627</td>
<td align="char" valign="middle" char=".">7.8671</td>
</tr>
<tr>
<td align="left" valign="middle">S03</td>
<td align="center" valign="middle">18</td>
<td align="char" valign="middle" char=".">11.1956</td>
<td align="char" valign="middle" char=".">7.3359</td>
</tr>
<tr>
<td align="left" valign="middle">S04</td>
<td align="center" valign="middle">19</td>
<td align="char" valign="middle" char=".">13.7764</td>
<td align="char" valign="middle" char=".">10.7761</td>
</tr>
<tr>
<td align="left" valign="middle">S05</td>
<td align="center" valign="middle">21</td>
<td align="char" valign="middle" char=".">12.9405</td>
<td align="char" valign="middle" char=".">8.5765</td>
</tr>
<tr>
<td align="left" valign="middle">S06</td>
<td align="center" valign="middle">13</td>
<td align="char" valign="middle" char=".">9.3431</td>
<td align="char" valign="middle" char=".">7.4377</td>
</tr>
<tr>
<td align="left" valign="middle">S07</td>
<td align="center" valign="middle">21</td>
<td align="char" valign="middle" char=".">13.1343</td>
<td align="char" valign="middle" char=".">9.1721</td>
</tr>
<tr>
<td align="left" valign="middle">S08</td>
<td align="center" valign="middle">19</td>
<td align="char" valign="middle" char=".">9.3933</td>
<td align="char" valign="middle" char=".">5.1941</td>
</tr>
<tr>
<td align="left" valign="middle">S09</td>
<td align="center" valign="middle">34</td>
<td align="char" valign="middle" char=".">22.5930</td>
<td align="char" valign="middle" char=".">15.1595</td>
</tr>
<tr>
<td align="left" valign="middle">S10</td>
<td align="center" valign="middle">34</td>
<td align="char" valign="middle" char=".">22.3271</td>
<td align="char" valign="middle" char=".">13.7778</td>
</tr>
<tr>
<td align="left" valign="middle">S11</td>
<td align="center" valign="middle">30</td>
<td align="char" valign="middle" char=".">24.1812</td>
<td align="char" valign="middle" char=".">20.3636</td>
</tr>
<tr>
<td align="left" valign="middle">S12</td>
<td align="center" valign="middle">33</td>
<td align="char" valign="middle" char=".">20.9420</td>
<td align="char" valign="middle" char=".">14.3949</td>
</tr>
<tr>
<td align="left" valign="middle">S13</td>
<td align="center" valign="middle">31</td>
<td align="char" valign="middle" char=".">20.3419</td>
<td align="char" valign="middle" char=".">14.9695</td>
</tr>
<tr>
<td align="left" valign="middle">S14</td>
<td align="center" valign="middle">31</td>
<td align="char" valign="middle" char=".">23.5398</td>
<td align="char" valign="middle" char=".">18.5274</td>
</tr>
<tr>
<td align="left" valign="middle">S15</td>
<td align="center" valign="middle">24</td>
<td align="char" valign="middle" char=".">13.1279</td>
<td align="char" valign="middle" char=".">8.8259</td>
</tr>
<tr>
<td align="left" valign="middle">S16</td>
<td align="center" valign="middle">31</td>
<td align="char" valign="middle" char=".">22.7642</td>
<td align="char" valign="middle" char=".">18.0505</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>In contrast, in the 2,100&#x2013;2,300&#x202F;m&#x202F;a.s.l. range (S05&#x2013;S08), greater variability in richness (13&#x2013;21 species) and a more pronounced reduction in q1 and q2 relative to q0 were observed, particularly in plots S06 and S08. This pattern indicates lower evenness and a stronger influence of dominant species in SDTF plots at higher elevations. Conversely, montane forests (2300&#x2013;2,700&#x202F;m&#x202F;a.s.l.; S09&#x2013;S16) exhibited the highest alpha diversity values. In plots located between 2,300&#x2013;2,500&#x202F;m&#x202F;a.s.l. (S09&#x2013;S12), species richness (Hill q0) was high (30&#x2013;34 species), together with elevated Hill q1 and q2 values, indicating diverse and relatively even communities with moderate dominance. In the upper range, between 2,500&#x2013;2,700&#x202F;m&#x202F;a.s.l. (S13&#x2013;S16), species richness remained comparable (24&#x2013;31 species), although greater variability in q1 and q2 was observed. Plots such as S14 and S16 showed high evenness, whereas S15 exhibited higher dominance.</p>
<p>Overall, these results indicate a decrease in tree community evenness with increasing elevation in both ecosystems, as well as clear structural differences between SDTF and montane forests.</p>
</sec>
<sec id="sec13">
<label>3.3.2</label>
<title>Beta diversity (similarity)</title>
<p>The analysis of floristic similarity among tree species in the evaluated plots of the forests of the Sonche district, based on the S&#x00F8;rensen index, reveals three well-defined groups (<xref ref-type="fig" rid="fig6">Figure 6</xref>). The first group (S01&#x2013;S07) is associated with lower elevations and SDTF, with a mean similarity of 44% (range: 22&#x2013;77%). These plots are characterized by lower plant diversity and a higher dominance of a few species, reflecting more homogeneous environmental conditions. The second group (S09&#x2013;S16) comprises higher-elevation areas and plots located in montane forests, with an average similarity of 43.7% (range: 28&#x2013;68%). This group is dominated by communities adapted to cold and humid environments, exhibiting high diversity and a relatively even distribution of species. Finally, plot S08 forms an independent group because it is located in a transitional zone, with a mixed floristic composition that combines elements from both groups, representing an intermediate ecosystem with distinct characteristics. Overall, these results demonstrate a clear floristic differentiation associated with altitudinal gradients and local ecological conditions in the forests of Sonche.</p>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>Analysis of floristic similarity between plots in the forests of the Sonche district, based on the Sorensen index.</p>
</caption>
<graphic xlink:href="ffgc-09-1765957-g006.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Clustered heatmap showing pairwise similarity scores between S01 to S16 samples, with values ranging from zero to one; higher scores appear in red and lower in blue, with dendrograms indicating hierarchical clustering along top and left, and clusters highlighted by colored borders.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="sec14">
<label>3.4</label>
<title>Diametric and altimetric structure of trees</title>
<p>The graphs in <xref ref-type="fig" rid="fig7">Figure 7</xref> show the frequency distribution of trees in the SDTF and montane forests of the Sonche district according to diameter classes. In the SDTF (<xref ref-type="fig" rid="fig7">Figure 7a</xref>), the diameter structure exhibits a typical inverted &#x201C;J&#x201D; pattern, with a marked dominance of small-diameter individuals. The highest frequency occurs in the 10&#x2013;15&#x202F;cm DBH class (409 individuals), followed by the 15&#x2013;20&#x202F;cm class (151 individuals). Beyond 20&#x202F;cm in diameter, abundance decreases sharply, with fewer than 40 individuals in the 20&#x2013;25&#x202F;cm class and very low values in diameter classes above 30&#x202F;cm, indicating a limited representation of large trees and a relatively homogeneous structure.</p>
<fig position="float" id="fig7">
<label>Figure 7</label>
<caption>
<p>Distribution of tree frequency according to diameter in the forests of the Sonche district: <bold>(a)</bold> diameter class of dry forests, and <bold>(b)</bold> diameter class of montane forests.</p>
</caption>
<graphic xlink:href="ffgc-09-1765957-g007.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Side-by-side bar charts compare the frequency of individuals in different diametric classes, measured in centimeters, with chart a showing higher frequency in the smallest class than chart b; both charts show frequency decreasing as diametric class increases.</alt-text>
</graphic>
</fig>
<p>In montane forests (<xref ref-type="fig" rid="fig7">Figure 7b</xref>), a similar structural pattern is observed, although with a wider range of diameter classes. The 10&#x2013;15&#x202F;cm class shows the highest frequency (502 individuals), followed by the 15&#x2013;20&#x202F;cm (244 individuals) and 20&#x2013;25&#x202F;cm (82 individuals) classes. Unlike SDTF, montane forests include individuals in larger diameter classes, reaching up to 45&#x2013;50&#x202F;cm, although at low frequencies (&#x003C;10 individuals). Overall, the results indicate forests structurally dominated by young trees, with differences associated with the ecological conditions of each ecosystem.</p>
<p><xref ref-type="fig" rid="fig8">Figure 8</xref> presents the histograms of tree height classes for the two ecosystems evaluated in the Sonche district. In the SDTF, a marked dominance of low- to medium-height individuals is observed. The 0&#x2013;5&#x202F;m (128 individuals) and 5&#x2013;10&#x202F;m (429 individuals) classes account for the highest frequencies, together representing more than 90% of the recorded individuals. In contrast, height classes above 10&#x202F;m show very low frequencies (&#x003C;10%), indicating a limited presence of tall trees and reflecting a simple vertical structure dominated primarily by young and developing individuals.</p>
<fig position="float" id="fig8">
<label>Figure 8</label>
<caption>
<p>Distribution of tree height classes in the forests of the Sonche district: <bold>(a)</bold> height class in dry forests, and <bold>(b)</bold> height class in montane forests.</p>
</caption>
<graphic xlink:href="ffgc-09-1765957-g008.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Two bar charts display height class frequencies. Chart a shows the 5-10 meter height class most frequent at above 400, with lower frequencies for 0-5, 10-15, and 15-20 meters. Chart b shows similar distribution, but with higher frequencies overall, the 5-10 meter class peaking above 600. Both charts use height class on the x-axis and frequency on the y-axis.</alt-text>
</graphic>
</fig>
<p>In turn, montane forests exhibit a more complex vertical structure compared to SDTF. The greatest abundance is concentrated in intermediate height classes, particularly 5&#x2013;10&#x202F;m (639 individuals) and 10&#x2013;15&#x202F;m (141 individuals), which together comprise more than 85% of the recorded individuals. Lower classes (&#x2264;5&#x202F;m) also maintain a substantial representation (130 individuals), suggesting continuous recruitment. In addition, the presence of individuals in height classes above 15&#x202F;m, although at low frequencies (&#x003C;10%), indicates greater vertical stratification and a relatively better-developed forest structure.</p>
<p>Floristic-structural variation as a function of the altitudinal gradient Multiple correspondence analysis (MCA) enabled an integrated visualization of the distribution and associations of the ten most dominant tree families in the forests of the Sonche district along the altitudinal gradient and between ecosystem types, simultaneously incorporating individual abundance and structural attributes (diameter and height classes) (<xref ref-type="fig" rid="fig9">Figure 9</xref>). The main MCA axes effectively captured the floristic and structural differentiation associated with environmental variation. At lower elevations (1900&#x2013;2,100&#x202F;m&#x202F;a.s.l.), Fabaceae and Clusiaceae clustered closely, whereas between 2,100 and 2,300&#x202F;m&#x202F;a.s.l. a marked association between Asteraceae and Primulaceae was observed, reflecting tree communities dominated by shorter individuals with intermediate diameters. From a structural perspective, this pattern confirms that the water stress characteristic of dry forests constrains vertical tree growth. In contrast, at higher elevations (2300&#x2013;2,700&#x202F;m&#x202F;a.s.l.), Lauraceae, Melastomataceae, Clethraceae, and Aquifoliaceae predominated, being associated with trees of larger diameters and greater heights adapted to colder and more humid conditions. Overall, the analysis reveals a gradual segregation of families between ecosystems and along the altitudinal gradient, highlighting elevation and environmental conditions as key determinants of forest composition and structure in the Sonche district.</p>
<fig position="float" id="fig9">
<label>Figure 9</label>
<caption>
<p>Multiple correspondence analysis (MCA) showing the floristic-structural differentiation of the dominant families according to the altitudinal gradient.</p>
</caption>
<graphic xlink:href="ffgc-09-1765957-g009.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">MCA biplot displaying individual data points and category labels separated by colored ellipses representing four altitude ranges: green for 1900&#x2013;2100, orange for 2100&#x2013;2300, purple for 2300&#x2013;2500, and pink for 2500&#x2013;2700 meters above sea level. Data points are overlaid with labels for plant families and ecological variables, and axes are labeled as Dim1 (12.8%) and Dim2 (11.3%). A legend indicating altitude ranges with corresponding colors is present on the right.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec15">
<label>4</label>
<title>Discussion</title>
<p>The results of this study provide relevant empirical evidence on the ecological role of seasonally dry tropical forests (SDTFs) at altitudinal limits and their transition toward montane forests, a component that has historically been underrepresented in Andean ecological research (<xref ref-type="bibr" rid="ref16">Cueva et al., 2019</xref>). Although tropical dry forests have been widely recognized for their high functional specialization, pronounced climatic seasonality, and high proportion of endemic species, most studies have focused on latitudinal gradients or lowland environments (<xref ref-type="bibr" rid="ref81">Siyum, 2020</xref>). In contrast, altitudinal gradients linking these ecosystems with montane forest formations have received limited attention, constraining our understanding of the ecological processes that structure such transitions (<xref ref-type="bibr" rid="ref62">Murga-Orrillo et al., 2021</xref>).</p>
<p>In the Sonche district, SDTFs exhibited a relatively homogeneous floristic structure, characterized by low tree species richness and strong dominance by a few species, notably <italic>Vachellia aroma, Inga adenophylla</italic>, <italic>Clusia rigida</italic>, and <italic>Myrsine oligophylla</italic> (<xref ref-type="bibr" rid="ref2">Aguirre Mendoza et al., 2021a</xref>, <xref ref-type="bibr" rid="ref3">2021b</xref>). This pattern reflects communities dominated by species highly tolerant to water stress (<xref ref-type="bibr" rid="ref21">Dirzo et al., 2011</xref>; <xref ref-type="bibr" rid="ref29">Galv&#x00E1;n-Cisneros et al., 2023</xref>; <xref ref-type="bibr" rid="ref76">Rodr&#x00ED;guez and Oyuela-Andino, 2023</xref>), with high relative density, small to intermediate diameters, and a predominance of young individuals (<xref ref-type="bibr" rid="ref61">Montenegro-Hoyos et al., 2022</xref>; <xref ref-type="bibr" rid="ref71">Ram&#x00ED;rez et al., 2022</xref>). Consequently, the observed structural dominance suggests a simplified forest organization typical of Andean and Neotropical SDTFs, where a small number of species control most of the space and resources, limiting vertical stratification and promoting rapid regeneration dynamics (<xref ref-type="bibr" rid="ref65">Pennington et al., 2000</xref>).</p>
<p>The vertical structure of SDTFs further supports this interpretation, as individuals between 0 and 10&#x202F;m in height predominate. In dry environments, limited water availability constrains vertical stem growth and favors species adapted to seasonal stress conditions (<xref ref-type="bibr" rid="ref65">Pennington et al., 2000</xref>). These adaptations include functional strategies such as deciduous phenology, small or semi-persistent leaves, and deep root systems that optimize water use but do not necessarily promote the development of tall, complex canopies (<xref ref-type="bibr" rid="ref58">Miles et al., 2006</xref>). However, this pattern may also reflect continuous recruitment coupled with lower survival of mature trees under prolonged drought conditions. Consistently, the inverted &#x201C;J-shaped&#x201D; diameter distribution recorded in SDTFs is characteristic of forests with high regeneration rates and elevated mortality of large individuals, a pattern widely documented in dry forests across Latin America (<xref ref-type="bibr" rid="ref72">Reis et al., 2017</xref>).</p>
<p>In contrast, montane forests exhibited greater floristic heterogeneity and more evenly distributed Importance Value Index (IVI) values among multiple species, including Aiouea montana, Clethra revoluta, <italic>Ilex quitensis</italic>, <italic>Ilex scopulorum</italic>, <italic>Hieronyma oblonga</italic>, and <italic>Clusia multiflora</italic>. This pattern reflects less restrictive environmental conditions, associated with higher precipitation and moderate temperatures (<xref ref-type="bibr" rid="ref16">Cueva et al., 2019</xref>). Tree species richness peaked between 2,300 and 2,500&#x202F;m&#x202F;a.s.l., following a unimodal pattern characteristic of montane ecosystems, where diversity reaches its maximum at mid-elevations (<xref ref-type="bibr" rid="ref45">Li et al., 2023</xref>). This pattern has been attributed to a combination of favorable climatic conditions, increased moisture availability, and high structural heterogeneity, which facilitate the coexistence of species with both tropical and montane affinities (<xref ref-type="bibr" rid="ref78">S&#x00E1;nchez Zamora et al., 2024</xref>). Conversely, at elevations above 2,500&#x202F;m&#x202F;a.s.l., diversity declines progressively due to thermal constraints and more severe environmental filters that limit the establishment of less-adapted species (<xref ref-type="bibr" rid="ref6">Ba&#x00F1;ares-de-Dios et al., 2024</xref>).</p>
<p>The transition between SDTFs and montane forests along the altitudinal gradient highlights the central role of water availability and elevation-modulated climatic conditions in shaping forest composition and architecture, in agreement with patterns observed in other Andean gradients (<xref ref-type="bibr" rid="ref8">Blundo et al., 2012</xref>). Beta diversity analysis using the S&#x00F8;rensen index confirmed a clear floristic differentiation between both ecosystems; however, this transition is not abrupt. Instead, an ecological continuum is evident, where typical dry forest species coexist with montane forest elements, particularly in ecotonal plots such as S08. This pattern of floristic overlap has been widely documented in tropical altitudinal gradients and reflects the interaction of climatic, edaphic, and topographic factors rather than the presence of rigid environmental thresholds (<xref ref-type="bibr" rid="ref85">Veintimilla et al., 2019</xref>; <xref ref-type="bibr" rid="ref35">Guzm&#x00E1;n et al., 2025</xref>). In this context, altitude modulates the hydric filters characteristic of dry forests through its interaction with thermal gradients and changes in soil structure, allowing the persistence of mixed communities (<xref ref-type="bibr" rid="ref43">Kr&#x00F6;mer et al., 2013</xref>).</p>
<p>From a biogeographic perspective, the tree species composition recorded at altitudinal limits supports the hypothesis that montane dry forests function as contact zones and potential ecological corridors between contrasting bioclimatic regions (<xref ref-type="bibr" rid="ref8">Blundo et al., 2012</xref>). Nevertheless, most available studies lack spatial designs capable of capturing this complexity, as they are based on isolated plots or inventories without altitudinal continuity (<xref ref-type="bibr" rid="ref50">Malizia et al., 2020</xref>). In this regard, the scarcity of permanent plots in dry forests of northern Peru limits the assessment of temporal dynamics, species turnover rates, and responses to climatic variability&#x2014;processes that require continuous sampling along environmental gradients (<xref ref-type="bibr" rid="ref5">Baez et al., 2015</xref>; <xref ref-type="bibr" rid="ref50">Malizia et al., 2020</xref>).</p>
<p>Multiple correspondence analysis (MCA) reinforced these patterns by revealing clear associations between dominant plant families and specific environmental conditions. In lower SDTF zones, Fabaceae and Clusiaceae were associated with warm and dry environments, characterized by fast-growing species with efficient water use (<xref ref-type="bibr" rid="ref2">Aguirre Mendoza et al., 2021a</xref>, <xref ref-type="bibr" rid="ref3">2021b</xref>; <xref ref-type="bibr" rid="ref29">Galv&#x00E1;n-Cisneros et al., 2023</xref>). At intermediate elevations, Asteraceae and Primulaceae were linked to smaller-stature trees, suggesting nutrient limitations that constrain structural development (<xref ref-type="bibr" rid="ref61">Montenegro-Hoyos et al., 2022</xref>). In montane forests, Lauraceae, Melastomataceae, Clethraceae, and Aquifoliaceae dominated the floristic composition, reflecting adaptations to cold and humid environments and to organic matter&#x2013;rich soils (<xref ref-type="bibr" rid="ref83">Tejedor Garavito et al., 2014</xref>; <xref ref-type="bibr" rid="ref33">Guzm&#x00E1;n et al., 2022</xref>).</p>
<p>From a conservation perspective, our results support a shift toward strategies that recognize the altitudinal gradient as an integrated ecological unit, in which the conservation of SDTFs and montane forests is complementary for maintaining connectivity, ecosystem resilience, and the provision of ecosystem services under climate change (<xref ref-type="bibr" rid="ref42">Killeen and Solorzano, 2008</xref>). The conservation of ecological corridors between 1900 and 2,700&#x202F;m&#x202F;a.s.l. is a priority to facilitate species movements and altitudinal range shifts associated with global warming (<xref ref-type="bibr" rid="ref56">Meza Mori et al., 2020</xref>; <xref ref-type="bibr" rid="ref57">Meza-Mori et al., 2025</xref>). SDTFs are not merely the lower end of the altitudinal gradient, but rather a distinct and vulnerable component of the Andean ecological system, structured by restrictive environmental conditions that favor communities dominated by a few drought-adapted species (<xref ref-type="bibr" rid="ref64">Pennington et al., 2009</xref>). Their degradation would have disproportionate effects on landscape connectivity, hydrological regulation, and the ecological stability of the entire system (<xref ref-type="bibr" rid="ref58">Miles et al., 2006</xref>; <xref ref-type="bibr" rid="ref48">Malhi et al., 2014</xref>; <xref ref-type="bibr" rid="ref22">Dryflor et al., 2016</xref>).</p>
<p>Likewise, the values of the Importance Value Index (IVI) provide a robust empirical basis for linking observed structural patterns with concrete actions in ecological restoration and climate change adaptation. In the 1900&#x2013;2,100&#x202F;m&#x202F;a.s.l. range (seasonally dry tropical forest), low diversity and high dominance of <italic>Vachellia aroma</italic> and <italic>Inga adenophylla</italic> reflect functionally simplified communities that are nonetheless critical for system stability. Their high abundance, drought tolerance, wide distribution, and capacity for biological nitrogen fixation (<xref ref-type="bibr" rid="ref7">Bax et al., 2021</xref>) make them priority candidates for the revegetation of degraded soils and for facilitating the establishment of less stress-tolerant species (<xref ref-type="bibr" rid="ref26">Fremout et al., 2021</xref>; <xref ref-type="bibr" rid="ref18">de Ara&#x00FA;jo et al., 2024</xref>). However, these species are highly vulnerable to the projected increase in the duration and intensity of dry periods, which may increase mortality and reduce natural regeneration (<xref ref-type="bibr" rid="ref11">Campo et al., 2023</xref>). In the transitional zone between 2,100 and 2,300&#x202F;m&#x202F;a.s.l., the pronounced ecotonal character is expressed in a relatively balanced community structure, indicating high sensitivity to relatively small changes in temperature and precipitation at the climatic boundary between dry and montane forests (<xref ref-type="bibr" rid="ref23">Elsen et al., 2018</xref>). In the mid-montane forest (2300&#x2013;2,500&#x202F;m&#x202F;a.s.l.), where the unimodal peak of diversity is concentrated, climate vulnerability increases due to the dominance of species adapted to environmentally stable conditions, with low thermal variability and predictable hydrological regimes (<xref ref-type="bibr" rid="ref31">Gillani et al., 2025</xref>). Furthermore, in the high montane forest (2500&#x2013;2,700&#x202F;m above sea level), species adapted to cold and humid climates face a high risk of local extinction due to the lack of available altitudinal space to migrate in the face of the upward shift of climatic niches (<xref ref-type="bibr" rid="ref55">Mata-Guel et al., 2023</xref>).</p>
<p>Finally, this study presents limitations that should be considered when interpreting the results. Increased sampling effort would improve the representativeness of tree diversity, particularly in transition zones between SDTFs and montane forests (<xref ref-type="bibr" rid="ref14">Chao et al., 2014</xref>). Moreover, the absence of soil analyses and biomass estimates constrains our understanding of the functional processes regulating forest structure and productivity (<xref ref-type="bibr" rid="ref63">Pan et al., 2011</xref>; <xref ref-type="bibr" rid="ref68">Poorter et al., 2015</xref>). Future research should integrate edaphic variables, carbon stocks, and population dynamics to more accurately assess the ecological resilience of these ecosystems under climate change.</p>
</sec>
<sec sec-type="conclusions" id="sec16">
<label>5</label>
<title>Conclusion</title>
<p>This study demonstrates that tree diversity along the altitudinal gradient in the district Sonche does not follow a non-linear pattern, but rather a unimodal one, with a maximum between 2,300 and 2,500&#x202F;m&#x202F;a.s.l., near the transition zone between SDTF and montane forest. In this context, this diversity peak, together with the systematic shifts in species dominance, confirms the existence of a well-defined altitudinal floristic succession and a high level of structural complexity within the ecosystem. Furthermore, our results allow a precise identification of both the most sensitive segments of the gradient and the structurally most important species, which are simultaneously the most vulnerable to climate change. At lower elevations (1900&#x2013;2,100&#x202F;m), communities dominant by <italic>Vachellia aroma</italic> and <italic>Inga adenophylla</italic> which are key to the stability of the SDTF, are highly sensitive to the projected increase in the duration and intensity of dry periods, potentially increasing mortality and limiting regeneration. Similarly, in the mid-montane forest (2300&#x2013;2,500&#x202F;m), where the diversity maximum is concentrated, dominant species adapted to historically stable environmental conditions show high vulnerability to rising temperatures and changes in precipitation seasonality. Finally, in the upper montane forest (2500&#x2013;2,700&#x202F;m), strictly montane species that sustain canopy structure under cold and humid climates face a high risk of local extinction due to the lack of available altitudinal space for upward migration. Taken together, we propose that conservation should focus on the entire altitudinal gradient as an integrated functional unit, as the loss of dry forest at lower elevations or montane forest at higher elevations would compromise ecological integrity, landscape connectivity, and the provision of ecosystem services throughout the system.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec17">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="author-contributions" id="sec18">
<title>Author contributions</title>
<p>EC-C: Methodology, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Investigation, Conceptualization. EP-M: Formal analysis, Methodology, Data curation, Writing &#x2013; review &#x0026; editing. RR: Conceptualization, Writing &#x2013; review &#x0026; editing, Methodology, Formal analysis, Investigation, Data curation, Validation. JC: Software, Methodology, Writing &#x2013; review &#x0026; editing. AD: Methodology, Writing &#x2013; review &#x0026; editing, Software. MO-C: Supervision, Writing &#x2013; review &#x0026; editing, Resources, Funding acquisition. AH-P: Project administration, Writing &#x2013; review &#x0026; editing, Methodology, Writing &#x2013; original draft.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors thank the Instituto de Investigaci&#x00F3;n para el Desarrollo Sistentable de Ceja de Selva (INDESCES) for the financial support provided for the execution of this research. They also acknowledge the Vice-Rectorate for Research of the Universidad Nacional Toribio Rodr&#x00ED;guez de Mendoza de Amazonas, for funding the publication of this manuscript. The authors likewise express their sincere gratitude to Julio C&#x00E9;sar Chac&#x00F3;n Cabanillas and H&#x00E9;ctor Tauma Alvarado for their assistance during field data collection. Finally, they thank Biol. &#x00CD;talo Revilla Pantigoso, an expert in the botany of Peruvian tropical forests, for his guidance and support in validating the taxonomic identification of tree species.</p>
</ack>
<sec sec-type="COI-statement" id="sec19">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec20">
<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
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<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3242183/overview">Ezequiel Zamora-Ledezma</ext-link>, Technical University of Manabi, Ecuador</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3321913/overview">Salas-Mac&#x00ED;as Carlos A</ext-link>., Technical University of Manabi, Ecuador</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3321942/overview">Lizardo Reyna</ext-link>, University of Agriculture in Krakow, Poland</p>
</fn>
</fn-group>
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</article>