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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. For. Glob. Change</journal-id>
<journal-title>Frontiers in Forests and Global Change</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. For. Glob. Change</abbrev-journal-title>
<issn pub-type="epub">2624-893X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/ffgc.2025.1631614</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Forests and Global Change</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Resilience beyond expectations: seedling performance under fire and grazing pressure in old-growth Andean <italic>Araucaria araucana</italic> forests</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Diaz-Mons</surname> <given-names>Bernardita</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Arroyo-Vargas</surname> <given-names>Paola</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Vargas-Gaete</surname> <given-names>Rodrigo</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Almonacid-Mu&#x00F1;oz</surname> <given-names>Leonardo</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author">
<name><surname>Herrera</surname> <given-names>H&#x00E9;ctor</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Fuentes-Ram&#x00ED;rez</surname> <given-names>Andres</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Departamento de Ciencias Forestales, Laboratorio de Ecosistemas y Bosques (EcoBos), Universidad de La Frontera</institution>, <addr-line>Temuco</addr-line>, <country>Chile</country></aff>
<aff id="aff2"><sup>2</sup><institution>Programa de Mag&#x00ED;ster en Manejo de Recursos Naturales, Facultad de Ciencias Agropecuarias y Medioambiente, Universidad de La Frontera</institution>, <addr-line>Temuco</addr-line>, <country>Chile</country></aff>
<aff id="aff3"><sup>3</sup><institution>Centro Nacional de Excelencia para la Industria de la Madera (CENAMAD), Pontificia Universidad Cat&#x00F3;lica de Chile</institution>, <addr-line>Santiago</addr-line>, <country>Chile</country></aff>
<aff id="aff4"><sup>4</sup><institution>Center for Biodiversity and Ecological Sustainability (C-BEST), Facultad de Ciencias Agropecuarias y Medioambiente, Universidad de La Frontera</institution>, <addr-line>Temuco</addr-line>, <country>Chile</country></aff>
<author-notes>
<fn id="fn0001" fn-type="edited-by"><p>Edited by: Daniel Moya, University of Castilla-La Mancha, Spain</p></fn>
<fn id="fn0002" fn-type="edited-by"><p>Reviewed by: Jorgelina Franzese, National University of Comahue, Argentina</p>
<p>V&#x00ED;ctor Fern&#x00E1;ndez Garc&#x00ED;a, Universit&#x00E9; de Lausanne, Switzerland</p></fn>
<corresp id="c001">&#x002A;Correspondence: Andres Fuentes-Ram&#x00ED;rez, <email>andres.fuentes@ufrontera.cl</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>08</day>
<month>08</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>8</volume>
<elocation-id>1631614</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>07</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Diaz-Mons, Arroyo-Vargas, Vargas-Gaete, Almonacid-Mu&#x00F1;oz, Herrera and Fuentes-Ram&#x00ED;rez.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Diaz-Mons, Arroyo-Vargas, Vargas-Gaete, Almonacid-Mu&#x00F1;oz, Herrera and Fuentes-Ram&#x00ED;rez</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Altered fire regimes are mainly driven by anthropogenic factors and amplified by climate anomalies globally. Biological legacies that persist after fire are key for the post-fire vegetation recovery, facilitating the establishment and growth of new plant cohorts. However, these effects on long-lived conifers from southern South America still remains unclear. In this study, we experimentally evaluated the effect of biological legacies and cattle activity on seedling survival and growth of the conifer <italic>Araucaria araucana</italic> (monkey puzzle tree) in fire-affected forests in south-central Chile. Biological legacies in the burned areas included fallen logs, standing dead trees and understory canopy cover, which are hypothesized to have positive effects on seedling performance when facing harsh post-fire site conditions. These effects would be more beneficial within areas subjected to cattle activity after severe fires. <italic>Araucaria araucana</italic> seedlings were planted within burned forests affected with moderate and high fire severity, comparing both the presence and absence of post-fire biological legacies and cattle activity, and monitored for 5&#x202F;years. Results revealed that the overall seedling survival rate was generally good, ranging from 79&#x2013;83% in moderate and high fire severity, respectively. The effect of biological legacies on seedling survival was in general positive, but not significant across all conditions. We found a significant positive effect on plant height growth when biological legacies were nearby and when cattle were excluded, particularly in burned forests with high fire severity. Neither post-fire biological legacies nor cattle exclusion showed a positive effect on the number of new shoots or plant collar growth. In summary, <italic>A. araucana</italic> is well capable of surviving and growing in absence of biological legacies or when preventing cattle into burned areas, highlighting its great resilience capacity to recover after severe forest fires. Yet, these practices may benefit post-fire vegetation recovery in the long-term and could be considered when feasible.</p>
</abstract>
<kwd-group>
<kwd><italic>Araucaria-Nothofagus</italic> forests</kwd>
<kwd>seedling growth</kwd>
<kwd>survival</kwd>
<kwd>cattle impacts</kwd>
<kwd>post-fire restoration</kwd>
<kwd>wildfires</kwd>
<kwd>biological legacies</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="75"/>
<page-count count="11"/>
<word-count count="8297"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Fire and Forests</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<title>Introduction</title>
<p>Fire regimes are experiencing major alterations globally due to the intensification and prolongation of fire seasons, increased occurrence and severity, as well as because anthropogenic effects of land use changes (<xref ref-type="bibr" rid="ref11">Bowman et al., 2020</xref>; <xref ref-type="bibr" rid="ref39">Kelly et al., 2023</xref>; <xref ref-type="bibr" rid="ref63">Sayedi et al., 2024</xref>). Although fire is a natural disturbance that can act as a shaping agent in several ecosystems, there is growing concern about the effect on temperate forests less adapted to fires, since drier and warmer climatic conditions are catalyzing more severe and/or recurrent fires (<xref ref-type="bibr" rid="ref18">Enright et al., 2015</xref>; <xref ref-type="bibr" rid="ref36">Johnstone et al., 2016</xref>). As an example, burn areas in temperate forests of South America have increased by 17% annually, with a significant intensify in burn severity of 3.5% per year (<xref ref-type="bibr" rid="ref20">Fern&#x00E1;ndez-Garc&#x00ED;a and Alonso-Gonz&#x00E1;lez, 2023</xref>). In this context, the role of post-fire biological legacies, such as surviving trees, downed logs or understory canopy cover, in facilitating forest recovery and mitigating the negative effects of fire has become increasingly recognized (<xref ref-type="bibr" rid="ref24">Franklin et al., 2000</xref>; <xref ref-type="bibr" rid="ref44">Lindenmayer et al., 2019</xref>).</p>
<p>Plant species in fire-prone ecosystems that have co-evolved with more frequent fires often exhibit different functional traits that allow them to survive and/or quickly reestablish after fire (<xref ref-type="bibr" rid="ref35">He et al., 2019</xref>; <xref ref-type="bibr" rid="ref72">Vargas-Gaete et al., 2024</xref>). Functional and structural traits such as serotinous cones (seed protection from heat), thick bark (protection of living tissues: vascular cambium), shedding of lower branches (reduced vertical connectivity), apical, epicormic or underground resprouting (rapid species colonization), among others, confer to species the ability to persist after fire (<xref ref-type="bibr" rid="ref53">Pausas et al., 2004</xref>; <xref ref-type="bibr" rid="ref38">Keeley et al., 2011</xref>; <xref ref-type="bibr" rid="ref58">Rodman et al., 2020</xref>). Conversely, ecosystems that have co-evolved with less fire pressure are characterized by a predominance of fire-sensitive species, i.e., species with functional traits less tolerant to a more frequent and/or severe fire regime (<xref ref-type="bibr" rid="ref74">Whitlock et al., 2015</xref>; <xref ref-type="bibr" rid="ref66">Tepley et al., 2018</xref>). Despite these adaptive responses, as well as the state of biotic factors that persist after a wildfire and facilitate the establishment of new cohorts (i.e., presence of biological legacies), the recruitment, growth, and ultimately the survival of species could be at risk in the face of altered fire regimes (<xref ref-type="bibr" rid="ref18">Enright et al., 2015</xref>; <xref ref-type="bibr" rid="ref36">Johnstone et al., 2016</xref>). Additionally, the post-fire effects of herbivore browsing and trampling (i.e., cattle use by local communities) can exacerbate the negative effects solely attributed to fire, hindering proper forest recovery (<xref ref-type="bibr" rid="ref56">Raffaele et al., 2011</xref>; <xref ref-type="bibr" rid="ref43">Lewis et al., 2024</xref>).</p>
<p>Southern temperate forests in southern South America are predominantly characterized by a mixed or low-frequency fire regime, with most of the forest dominated by tree species sensitive to fire. However, a smaller proportion of tree species possess the ability to resprout or withstand low-to-moderate fire intensities (<xref ref-type="bibr" rid="ref9">Beard, 1990</xref>; <xref ref-type="bibr" rid="ref74">Whitlock et al., 2015</xref>; <xref ref-type="bibr" rid="ref40">Kitzberger et al., 2016</xref>). Mixed temperate forests dominated by <italic>Araucaria araucana</italic> (Mol.) K. Koch and <italic>Nothofagus</italic> spp. in the Andean region of Chile and Argentina (henceforth referred to as <italic>Araucaria-Nothofagus</italic> forests) are composed of species with varying levels of fire tolerance. Some species are highly susceptible to fire due to thin bark [e.g., <italic>Nothofagus dombeyi</italic> (Mirb.) Oerst., <italic>N. pumilio</italic> (Poepp. &#x0026; Endl.) Krasser], while others exhibit adaptations such as thick bark and shedding of lower branches or the ability to resprout rapidly after fire (e.g., <italic>Araucaria araucana</italic>; <xref ref-type="bibr" rid="ref73">Veblen, 1982</xref>; <xref ref-type="bibr" rid="ref14">Burns, 1993</xref>; <xref ref-type="bibr" rid="ref33">Gonz&#x00E1;lez et al., 2010</xref>; <xref ref-type="bibr" rid="ref3">Arroyo-Vargas et al., 2024</xref>). This suggests that fire has been rather infrequent in these forests, generally with low-to-moderate severity (<xref ref-type="bibr" rid="ref33">Gonz&#x00E1;lez et al., 2010</xref>; <xref ref-type="bibr" rid="ref25">Fuentes-Ramirez et al., 2022</xref>). However, changes in fire frequency and severity in recent decades may indicate a shift in the fire regime of these ecosystems (<xref ref-type="bibr" rid="ref31">Gonz&#x00E1;lez et al., 2020</xref>; <xref ref-type="bibr" rid="ref49">McWethy et al., 2018</xref>). Furthermore, the introduction of agriculture and livestock in the early 18th century, which was intensified from the 1750s onwards, led to the use of fire to clear forest and habilitate land for these practices by Pehuenche communities, altering the historical fire regimes in forests dominated by <italic>A. araucana</italic> (<xref ref-type="bibr" rid="ref68">Torrej&#x00F3;n, 2001</xref>; <xref ref-type="bibr" rid="ref31">Gonz&#x00E1;lez et al., 2020</xref>). Moreover, in Andean ecosystems, with the presence of seasonal winter and summer pastures, practices such as cattle transhumance have been carried out for centuries in these areas until the present day, even within areas affected by fire (<xref ref-type="bibr" rid="ref46">Marchant, 2019</xref>). Therefore, the combined effects of more frequent fires and cattle herbivory may have significantly affected the survival and growth of tree species, posing a serious threat to the long-term recovery of burned forests (<xref ref-type="bibr" rid="ref3">Arroyo-Vargas et al., 2024</xref>).</p>
<p>The slow-growing southern South American endemic conifer <italic>A. araucana</italic> is distributed between 37&#x00B0; and 40&#x00B0; S, mostly in the Andean region of central-south Chile and Argentina (<xref ref-type="bibr" rid="ref73">Veblen, 1982</xref>; <xref ref-type="bibr" rid="ref61">Sanguinetti et al., 2023</xref>). The species is currently protected under CITES by Chile and Argentina, and it is listed as endangered by the IUCN (<xref ref-type="bibr" rid="ref15">Convention on International Trade in Endangered Species, 2001</xref>; <xref ref-type="bibr" rid="ref54">Premoli et al., 2011</xref>). Moreover, the species holds significant ecological and cultural importance by local Pehuenche communities (<xref ref-type="bibr" rid="ref59">Rozzi et al., 2012</xref>). Although <italic>A. araucana</italic> possesses traits that allow it to survive low-to-moderate severity fires (e.g., development of thick bark, shedding of lower branches in mature individuals, development of female cones in the upper crown; <xref ref-type="bibr" rid="ref14">Burns, 1993</xref>), under severe and frequent fires, its mortality rate is practically 100% (<xref ref-type="bibr" rid="ref5">Assal et al., 2018</xref>; <xref ref-type="bibr" rid="ref23">Franco et al., 2022</xref>; <xref ref-type="bibr" rid="ref3">Arroyo-Vargas et al., 2024</xref>). Additionally, <italic>A. araucana</italic> populations have declined by 50% from their original estimated distribution of 500,000&#x202F;ha, largely due to selective logging for its valuable timber during the first half of the 20th century (<xref ref-type="bibr" rid="ref42">Lara et al., 1999</xref>). In recent years, anthropogenic wildfires, cattle impacts, and an unsustainable harvest of its edible seeds have further exacerbated the situation (<xref ref-type="bibr" rid="ref31">Gonz&#x00E1;lez et al., 2020</xref>; <xref ref-type="bibr" rid="ref17">Donoso et al., 2024</xref>). This combination of pressures has raised significant concerns about the species&#x2019; ability to recover after severe fire events. Moreover, the importance of <italic>A. araucana</italic> in the territory and local communities from its evolutionary, biological and sociocultural perspective makes the species a key component of the ecosystems where it occurs (<xref ref-type="bibr" rid="ref59">Rozzi et al., 2012</xref>; <xref ref-type="bibr" rid="ref61">Sanguinetti et al., 2023</xref>).</p>
<p>As fire generally burns in a patchy manner, post-fire biological legacies that remain in the forest are thought to be crucial for facilitating seedling establishment, survival and growth over time (<xref ref-type="bibr" rid="ref69">Turner et al., 1998</xref>; <xref ref-type="bibr" rid="ref64">Seidl et al., 2014</xref>). These biological legacies may include surviving trees, downed logs or understory canopy cover. Moreover, the presence of herbivores [e.g., cattle (<italic>Bos taurus</italic>)] in burned areas greatly challenge the resilience of these forests and its ability to regenerate (<xref ref-type="bibr" rid="ref62">Sanguinetti and Kitzberger, 2010</xref>; <xref ref-type="bibr" rid="ref75">Zamorano-Elgueta et al., 2012</xref>; <xref ref-type="bibr" rid="ref4">Arroyo-Vargas et al., 2019</xref>). In this context, restoration efforts are essential, and their success will depend on the interplay between the effects of fires, grazing pressure and the presence of biological legacies. These legacies provide essential advantages to seedlings, including shade, protection, and enhanced micro-habitats (<xref ref-type="bibr" rid="ref24">Franklin et al., 2000</xref>; <xref ref-type="bibr" rid="ref60">Rudolphi et al., 2014</xref>; <xref ref-type="bibr" rid="ref21">Ferreiro et al., 2018</xref>). Currently, it is unclear how this interplay may affect the establishment of <italic>A. araucana</italic> seedlings in old-growth forests severely burned in the short-term. Thus, our study is specifically designed to answer the following questions:</p>
<p>(i) How does fire severity influence survival patterns of <italic>A. araucana</italic> seedlings in the presence of biological legacies and under cattle exclusion?, and (ii) How do the presence of biological legacies and cattle grazing affect the growth rate of <italic>A. araucana</italic> seedlings in different post-fire severity levels? We hypothesized that the presence of post-fire biological legacies and the exclusion of cattle lead to an increased survival and growth of Araucaria seedlings, especially in areas of high fire severity.</p>
<p>Understanding the complex interactions between fire, seedling survival and initial growth is crucial for designing more effective forest management and better conservation practices to canalize restoration efforts of this ancient, iconic forests in the Andean region of southern South America.</p>
</sec>
<sec sec-type="methods" id="sec2">
<title>Methods</title>
<sec id="sec3">
<title>Study site and species</title>
<p>The study area is located in Andean old-growth forests of <italic>Araucaria araucana</italic>, within a protected area in La Araucan&#x00ED;a Region, south-central Chile between 800 and 1,400&#x202F;m&#x202F;a.s.l. (38&#x00B0;S, 71&#x00B0;W, <xref ref-type="fig" rid="fig1">Figure 1</xref>). The climate is temperate, with a dry and warm summer season from December to March, and a humid (i.e., with ice and snow) in winter and spring (<xref ref-type="bibr" rid="ref45">Luebert and Pliscoff, 2017</xref>), with an annual mean precipitation of 1,380&#x202F;mm (period between 1993&#x2013;2023). The maximum mean temperature in summer is 21.8&#x00B0;C, while the minimum mean temperature in winter is 4&#x00B0;C (period between 1993&#x2013;2023). Soils are formed from volcanic ash, with moderate depth, dark brown color, coarse texture, and good permeability (<xref ref-type="bibr" rid="ref22">Flores et al., 2010</xref>). Vegetation is formed by temperate deciduous forests, with tree dominance of <italic>A. araucana</italic> (araucaria) and <italic>N. pumilio</italic> (lenga). The understory is represented by <italic>Alstroemeria aurea</italic>, <italic>Chusquea culeou</italic>, <italic>Berberis microphylla</italic>, and <italic>Gaultheria poepiggi</italic> (<xref ref-type="bibr" rid="ref71">Urrutia-Estrada et al., 2018</xref>; <xref ref-type="bibr" rid="ref4">Arroyo-Vargas et al., 2019</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption><p>Map of the study area in National Reserve China Muerta, south-central Andes of Chile, which was affected by a mixed-severity forest fire in 2015. <bold>(A)</bold> Shows areas of moderate severity. <bold>(B)</bold> Areas of high fire severity in which the experimental planting of <italic>A. araucana</italic> seedlings was conducted.</p></caption>
<graphic xlink:href="ffgc-08-1631614-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Maps of Chile showing the La Araucan&#x00ED;a Region highlighted in red. A detailed map of China Muerta National Reserve indicating fire severity with red, yellow, and orange areas. Fire severity is classified as low, moderate, and high. Two images below display forests within the reserve, labeled A and B, depicting varying degrees of damage with some trees burned and others standing.</alt-text>
</graphic>
</fig>
<p>The dominant species in these forests is <italic>A. araucana</italic>, which is a native conifer, with populations occurring primarily in the Andean region of southern Chile and to a lesser extent in Argentina (<xref ref-type="bibr" rid="ref73">Veblen, 1982</xref>). It is a slow-growing tree that can reach heights of up to 50&#x202F;m, with a diameter exceeding 2&#x202F;m and a lifespan of over 1,000&#x202F;years (<xref ref-type="bibr" rid="ref73">Veblen, 1982</xref>; <xref ref-type="bibr" rid="ref14">Burns, 1993</xref>; <xref ref-type="bibr" rid="ref30">Gonz&#x00E1;lez et al., 2006</xref>; <xref ref-type="bibr" rid="ref1">Aguilera-Betti et al., 2017</xref>). The species is characterized by developing a bark up to 20&#x202F;cm thick in adult individuals, self-pruning of its lower branches giving it a typical umbrella shape, forming cones at the top of the crown, possessing latent growth buds under the bark (i.e., epicormic shoots) that can resprout after low-to-moderate fires (<xref ref-type="bibr" rid="ref73">Veblen, 1982</xref>; <xref ref-type="bibr" rid="ref14">Burns, 1993</xref>; <xref ref-type="bibr" rid="ref30">Gonz&#x00E1;lez et al., 2006</xref>).</p>
</sec>
<sec id="sec4">
<title>Forest fire description</title>
<p>The forest was affected by a wildfire accidentally ignited by human activity in 2015 (March&#x2013;April), affecting approximately 3,750&#x202F;ha (<xref ref-type="bibr" rid="ref51">Mora and Cris&#x00F3;stomo, 2016</xref>). The fire primarily damaged forests dominated by <italic>A. araucana</italic>. This wildfire spread rapidly facilitated by a mega-drought that affected central-southern Chile since 2010 and high summer temperatures prior to the fire (<xref ref-type="bibr" rid="ref29">Garreaud et al., 2017</xref>; <xref ref-type="bibr" rid="ref49">McWethy et al., 2018</xref>). The fire was of mixed severity (<xref ref-type="bibr" rid="ref28">Fuentes-Ramirez et al., 2020</xref>), damaging the forest with low (i.e., surface fire, greater damage to the understory), moderate (i.e., partially burned trees, canopy with living and dead trees; <xref ref-type="fig" rid="fig1">Figure 1A</xref>), and high severity (i.e., completely charred canopy and understory; <xref ref-type="fig" rid="fig1">Figure 1B</xref>). Burn severity assessment of the study area was previously conducted by <xref ref-type="bibr" rid="ref51">Mora and Cris&#x00F3;stomo (2016)</xref>, performing the delta normalized burn ratio (dNBR) analysis, using pre-fire and post-fire Landsat imagery (<xref ref-type="bibr" rid="ref50">Miller and Thode, 2007</xref>). Groundtruthing was conducted afterwards to specifically define areas of moderate and high fire severity (<xref ref-type="bibr" rid="ref27">Fuentes-Ramirez et al., 2018</xref>). In areas of high fire severity, trees and understory vegetation were completely charred. There were less than 1% of canopy trees that survived fire in high-severity fire zones. In moderate fire severity areas, trees were partially burned, the forest canopy presented some unburned branches, and there was understory vegetation that survived fire. As a result, we defined moderate-severity areas as areas where 50% of canopy trees survive. Within these burned areas, cattle is the major disturbance agent in the reserve due to the historical (and current) use by Pehuenche communities. Although there is no official record of the number of heads that graze in the area, unofficial estimates approximate to 50&#x2013;60 cattle heads per season, which is fairly high for a relatively small area where our study took place (ca. 60&#x202F;ha; <xref ref-type="bibr" rid="ref4">Arroyo-Vargas et al., 2019</xref>).</p>
</sec>
<sec id="sec5">
<title>Study design and data collection</title>
<p>In a previous study conducted by <xref ref-type="bibr" rid="ref26">Fuentes-Ramirez et al. (2019)</xref>, 200 <italic>A. araucana</italic> seedlings were produced in the greenhouse, aimed for planting them in burned areas as a reforestation trial. Prior to planting, these seedlings were transferred to conditions similar to the study site, where they were acclimatized for 2&#x202F;years. Subsequently, plants were randomly shuffled and planted in April 2019 within areas affected by the 2015 fire, and under two conditions: moderate and high fire severity. Within each of these conditions, the presence/absence of nearby biological legacies (i.e., fallen or standing dead trees, understory canopy), and areas with and without cattle exclusion were also considered (<xref ref-type="table" rid="tab1">Table 1</xref> and <xref ref-type="fig" rid="fig2">Figure 2</xref>). Thus, the full factorial design in our experiment included two levels of fire severity, two conditions of biological legacies and two conditions of cattle exclusion, where 25 Araucaria seedling were established within each combination (i.e., 2&#x202F;&#x00D7;&#x202F;2&#x202F;&#x00D7;&#x202F;2&#x202F;&#x00D7;&#x202F;25&#x202F;=&#x202F;200 experimental units). For cattle exclusion, we used permanently-fenced 10&#x202F;&#x00D7;&#x202F;10 m plots that were previously established in the summer of 2017 to evaluate the effect of browsing and trampling on post-fire regeneration of the vegetation (<xref ref-type="bibr" rid="ref4">Arroyo-Vargas et al., 2019</xref>). As a second step, we identified post-fire biological legacies that consisted of fallen logs, dead trees, and understory canopy cover within and outside the exclusions, where seedlings were established at 50&#x202F;cm from. Presence of biological legacies was visually assessed and defined within a 10&#x202F;&#x00D7;&#x202F;10m plot. Once planted, each seedling was tallied with a unique code using metal tags. The planting scheme consisted in 25 seedlings randomly shuffled within each study condition, considering a distance of 1.5&#x202F;m between each individual. This was done following the natural way in which <italic>A. araucana</italic> seedlings establish, close to seed trees due to the limited dispersal of their seeds as a consequence of their size and weight (<xref ref-type="bibr" rid="ref19">Fajardo and Gonz&#x00E1;lez, 2009</xref>; <xref ref-type="bibr" rid="ref26">Fuentes-Ramirez et al., 2019</xref>). Seedlings were monitored at 6, 24, 48, 54 and 60&#x202F;months after planting. Initially it was stipulated to sample every 6&#x202F;months, but this was interrupted between 2020 and 2021 due to health and mobility restrictions associated with COVID-19 pandemic. Individual survival (i.e., alive or dead) was recorded, and seedling growth was measured in terms of total height (in cm) and number of new shoots. From 2022 onwards, the collar diameter (CD) of each seedling was also recorded.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption><p>Planting design of <italic>Araucaria araucana</italic> seedlings in burned areas with moderate and high severity in the China Muerta National Reserve, south-central Chile.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Fire severity</th>
<th align="center" valign="top">Presence of biological legacies</th>
<th align="center" valign="top">Cattle exclusion</th>
<th align="center" valign="top">No. of seedlings</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="4">Moderate</td>
<td align="center" valign="middle" rowspan="2">No</td>
<td align="center" valign="middle">No</td>
<td align="center" valign="middle">25</td>
</tr>
<tr>
<td align="center" valign="middle">Yes</td>
<td align="center" valign="middle">25</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="2">Yes</td>
<td align="center" valign="middle">No</td>
<td align="center" valign="middle">25</td>
</tr>
<tr>
<td align="center" valign="middle">Yes</td>
<td align="center" valign="middle">25</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="4">High</td>
<td align="center" valign="middle" rowspan="2">No</td>
<td align="center" valign="middle">No</td>
<td align="center" valign="middle">25</td>
</tr>
<tr>
<td align="center" valign="middle">Yes</td>
<td align="center" valign="middle">25</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="2">Yes</td>
<td align="center" valign="middle">No</td>
<td align="center" valign="middle">25</td>
</tr>
<tr>
<td align="center" valign="middle">Yes</td>
<td align="center" valign="middle">25</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Twenty five Araucaria seedlings were planted within each of the eight treatments for full factorial combination of fire severity, biological legacies and cattle exclusion, totaling 200 sampling units.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption><p>Scheme of experimental planting design of <italic>A. araucana</italic> seedlings considering two fire severity levels (moderate and high) and four study conditions. <bold>(A)</bold> Areas without cattle exclusion and without biological legacies. <bold>(B)</bold> Areas with cattle exclusion and without biological legacies. <bold>(C)</bold> Areas without cattle exclusion and with presence of biological legacies. <bold>(D)</bold> Areas with cattle exclusion and with biological legacies.</p></caption>
<graphic xlink:href="ffgc-08-1631614-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Four panels labeled A to D illustrate different pasture environments. Panel A shows two cows grazing freely among sparse vegetation. Panel B features an enclosed pasture with green plants but no cows or trees. Panel C includes two cows with scattered vegetation and trees. Panel D depicts an enclosed area with trees, vegetation, and no cows.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec6">
<title>Statistical analysis</title>
<p>To analyze seedlings survival under different fire severity conditions, biological legacy effects, and cattle exclusion, we used the &#x201C;<italic>survival</italic>&#x201D; package (<xref ref-type="bibr" rid="ref67">Therneau et al., 2024</xref>) implemented in the R software. The Kaplan&#x2013;Meier method, a non-parametric maximum likelihood estimation (MLE), was used to estimate survival curves over time. Additionally, the log-rank test was employed to compare survival among different study conditions. A Cox proportional hazards model was also fitted, allowing us to model survival as a function of different predictor variables (i.e., severity, biological legacies, cattle) using the &#x201C;<italic>survminer</italic>&#x201D; package (<xref ref-type="bibr" rid="ref37">Kassambara et al., 2021</xref>).</p>
<p>To assess seedling growth, we considered the variables total height, number of shoots, and root collar diameter as a function of fire severity, presence/absence of biological legacies, and cattle exclusion. Generalized linear mixed models (GLMMs) were fitted using the &#x201C;<italic>lme4</italic>&#x201D; package (<xref ref-type="bibr" rid="ref8">Bates et al., 2015</xref>) in R. Fire severity (i.e., moderate vs. high), biological legacies (i.e., presence vs. absence), and cattle (i.e., with and without exclusion) were considered fixed effects predictors, while plant individuals were the random factor. The normality and homoscedasticity of the data were assessed using the Shapiro&#x2013;Wilk and Levene tests, respectively implemented in R (<xref ref-type="bibr" rid="ref55">R Core Team, 2024</xref>). To evaluate and compare models, we used the Akaike information criterion (AIC). Additionally, marginal R<sup>2</sup> and conditional <italic>R</italic><sup>2</sup> were considered to identify the proportion of variance explained by fixed effects and the combination of fixed and random effects, respectively.</p>
</sec>
</sec>
<sec sec-type="results" id="sec7">
<title>Results</title>
<sec id="sec8">
<title>Araucaria seedling survival</title>
<p>From an initial number of 200 Araucaria seedlings planted at moderate and high burn severity sites (i.e., 100 seedlings planted in each fire condition), a total of 159 seedlings survived after 60&#x202F;months of assessment, with an overall survival rate of 79.4%. The survival rates at moderate and high fire severity conditions were 75.6% (76 seedlings) and 83.3% (83 seedlings), respectively, showing no statistical difference after 60&#x202F;months of planting (<italic>&#x03C7;</italic><sup>2</sup>&#x202F;=&#x202F;1.8, <italic>p</italic>&#x202F;&#x003E;&#x202F;0.18). At moderate fire severity sites, seedling survival rate was higher in areas with presence of biological legacies and without cattle exclusion (85%; <xref ref-type="table" rid="tab2">Table 2</xref> and <xref ref-type="fig" rid="fig3">Figure 3</xref>), while at high fire severity sites, survival rate was higher with cattle exclusion and both with and without biological legacies (90%; <xref ref-type="table" rid="tab2">Table 2</xref> and <xref ref-type="fig" rid="fig3">Figure 3</xref>). However, we found no statistical differences in the probability of survival of Araucaria seedlings based on the presence or absence of biological legacies, cattle exclusion or fire severity levels, indicating that survival of <italic>A. araucana</italic> is primarily determined by individual traits rather than post-fire conditions (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption><p>Probability of survival in accordance with the presence/absence of biological legacies and cattle exclusion-type of treatments follows the combination of these.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Fire severity</th>
<th align="center" valign="top">Biological legacies</th>
<th align="center" valign="top">Cattle exclusion</th>
<th align="center" valign="top">Treatment</th>
<th align="center" valign="top">Number of seedlings</th>
<th align="center" valign="top">Survival rate</th>
<th align="center" valign="top">Log-rank <italic>&#x03C7;</italic><sup>2</sup> (<italic>p</italic>-value)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="4">Moderate and high together</td>
<td align="center" valign="middle" rowspan="2">No</td>
<td align="center" valign="middle">No</td>
<td align="center" valign="top">Type A</td>
<td align="center" valign="middle">60</td>
<td align="char" valign="middle" char=".">0.717</td>
<td align="char" valign="middle" char="(" rowspan="4">1.8 (0.38)</td>
</tr>
<tr>
<td align="center" valign="middle">Yes</td>
<td align="center" valign="top">Type B</td>
<td align="center" valign="middle">40</td>
<td align="char" valign="middle" char=".">0.850</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="2">Yes</td>
<td align="center" valign="middle">No</td>
<td align="center" valign="top">Type C</td>
<td align="center" valign="middle">40</td>
<td align="char" valign="middle" char=".">0.850</td>
</tr>
<tr>
<td align="center" valign="middle">Yes</td>
<td align="center" valign="top">Type D</td>
<td align="center" valign="middle">40</td>
<td align="char" valign="middle" char=".">0.800</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="4">Moderate</td>
<td align="center" valign="middle" rowspan="2">No</td>
<td align="center" valign="middle">No</td>
<td align="center" valign="top">Type A</td>
<td align="center" valign="middle">30</td>
<td align="char" valign="middle" char=".">0.700</td>
<td align="char" valign="middle" char="(" rowspan="4">2.0 (0.58)</td>
</tr>
<tr>
<td align="center" valign="middle">Yes</td>
<td align="center" valign="top">Type B</td>
<td align="center" valign="middle">20</td>
<td align="char" valign="middle" char=".">0.800</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="2">Yes</td>
<td align="center" valign="middle">No</td>
<td align="center" valign="top">Type C</td>
<td align="center" valign="middle">20</td>
<td align="char" valign="middle" char=".">0.850</td>
</tr>
<tr>
<td align="center" valign="middle">Yes</td>
<td align="center" valign="top">Type D</td>
<td align="center" valign="middle">20</td>
<td align="char" valign="middle" char=".">0.700</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="4">High</td>
<td align="center" valign="middle" rowspan="2">No</td>
<td align="center" valign="middle">No</td>
<td align="center" valign="top">Type A</td>
<td align="center" valign="middle">30</td>
<td align="char" valign="middle" char=".">0.733</td>
<td align="char" valign="middle" char="(" rowspan="4">3.9 (0.27)</td>
</tr>
<tr>
<td align="center" valign="middle">Yes</td>
<td align="center" valign="top">Type B</td>
<td align="center" valign="middle">20</td>
<td align="char" valign="middle" char=".">0.900</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="2">Yes</td>
<td align="center" valign="middle">No</td>
<td align="center" valign="top">Type C</td>
<td align="center" valign="middle">20</td>
<td align="char" valign="middle" char=".">0.850</td>
</tr>
<tr>
<td align="center" valign="middle">Yes</td>
<td align="center" valign="top">Type D</td>
<td align="center" valign="middle">20</td>
<td align="char" valign="middle" char=".">0.900</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>The log-rank test statistics and <italic>p</italic>-values are informed. Treatment disclosure: Type A, without biological legacy/without cattle exclusion. Type B, without biological legacy/with cattle exclusion. Type C, with biological legacy/without cattle exclusion. Type D, with biological legacy/with cattle exclusion.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption><p>Survival probability plots using the Kaplan&#x2013;Meier estimates of survival function for <italic>Araucaria araucana</italic> seedlings at moderate (left) and high (right) burn severity sites. Treatment types are represented according to <xref ref-type="table" rid="tab2">Table 2</xref>. The <italic>x</italic>-axis represents the time in years, and <italic>y</italic>-axis the survival probability.</p></caption>
<graphic xlink:href="ffgc-08-1631614-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Kaplan-Meier survival probability plots depict moderate and high severity conditions over 60 months. The moderate severity plot shows differences between four types: Type A (black), Type B (blue), Type C (red), and Type D (gray), with Type C having higher survival. The high severity plot illustrates a decline in survival probability, showing differences between the types with Type B maintaining higher probabilities.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec9">
<title>Araucaria seedling growth</title>
<p>Neither biological legacies nor cattle exclusion showed significant effects on seedlings&#x2019; height in areas affected by moderate burn severity over time (<xref ref-type="fig" rid="fig4">Figure 4A</xref>). During the five-year period, <italic>A. araucana</italic> seedlings averaged 20&#x202F;cm in height, growing at a mean rate of 3.2&#x202F;cm annually. The absence of biological legacies, however, caused a significantly greater number of buds (<italic>p</italic>&#x202F;&#x2264;&#x202F;0.024, <xref ref-type="fig" rid="fig4">Figure 4C</xref>) and diameter at root collar (<italic>p</italic>&#x202F;&#x2264;&#x202F;0.001, <xref ref-type="fig" rid="fig4">Figure 4E</xref>) from month 24 and 48 in areas affected by the same fire severity, respectively. In contrast, cattle exclusion did not cause any statistical difference on growth variables. Within forests affected with high burn severity, we found that the presence of biological legacies and cattle exclusion were associated with greater growth in height in months 24 and 48 for the former (<italic>p</italic>&#x202F;&#x2264;&#x202F;0.049, <xref ref-type="fig" rid="fig4">Figure 4B</xref>), and month 6 and 24 for the latter (<italic>p</italic>&#x202F;&#x2264;&#x202F;0.013, <xref ref-type="fig" rid="fig4">Figure 4B</xref>), respectively. The number of buds in Araucaria seedlings was significantly greater in plots without biological legacy in month 54 (<italic>p</italic>&#x202F;=&#x202F;0.031, <xref ref-type="fig" rid="fig4">Figure 4D</xref>), and without cattle exclusion in the same month (<italic>p</italic>&#x202F;=&#x202F;0.044, <xref ref-type="fig" rid="fig4">Figure 4D</xref>). Lastly, significantly greater growth on diameter at root collar was detected without biological legacy in month 54 (<italic>p</italic>&#x202F;=&#x202F;0.033, <xref ref-type="fig" rid="fig4">Figure 4F</xref>), and without cattle exclusion from month 54 (<italic>p</italic>&#x202F;&#x2264;&#x202F;0.039, <xref ref-type="fig" rid="fig4">Figure 4F</xref>) in areas burned with high fire severity. The results (which are highly variable) also emphasize the importance of individual characteristics when predicting growth patterns after fire.</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption><p>Mean growth in terms of height (cm), number of buds, and diameter at root collar (mm) of <italic>Araucaria araucana</italic> seedlings planted in areas burned with moderate <bold>(A,C,E)</bold> and high <bold>(B,D,F)</bold> fire severity over time (i.e., 5&#x202F;years). Error bars represent standard errors, and asterisks indicate significant differences (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) between growths measured within each period of time.</p></caption>
<graphic xlink:href="ffgc-08-1631614-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">A set of six line graphs labeled A to F compare plant growth metrics under moderate and high severity, with and without biological legacy and cattle exclusion. Graphs show metrics: height (A, B), number of shoots (C, D), and diameter at root collar (E, F) over 60 months. Significant differences are marked with asterisks. The legend indicates colors for various treatments.</alt-text>
</graphic>
</fig>
<p>Overall, fitted generalized linear mixed models showed that regardless of the presence of biological legacies or cattle, Araucaria seedlings were well capable to survive and grow in burned areas. At moderate fire severity sites, seedling height was significantly greater when cattle was excluded, while the number of buds and root collar diameter were significantly influenced by biological legacies (<xref rid="SM1" ref-type="supplementary-material">Supplementary material 1</xref>). At high fire severity sites, both height and root collar diameter were significantly greater under cattle exclusion, whereas the number of buds was strongly affected by biological legacies (<xref rid="SM1" ref-type="supplementary-material">Supplementary material 2</xref>). Overall, the contribution of biological legacies and cattle exclusion (i.e., fixed effects) were low (marginal <italic>R</italic><sup>2</sup>&#x202F;~&#x202F;1%), but the addition of random effects significantly improved model performance (conditional <italic>R</italic><sup>2</sup>&#x202F;=&#x202F;32%). This reflects that individual features of the species (rather than site conditions) play a more significant role in determining Araucaria&#x2019;s survival and growth patterns in burned areas.</p>
</sec>
</sec>
<sec sec-type="discussion" id="sec10">
<title>Discussion</title>
<p>After 5&#x202F;years of monitoring in the field, the survival trial of planted seedlings of <italic>A. araucana</italic> within burned areas did not exhibit significant differences across treatments (e.g., with vs. without biological legacies or with cattle exclusion) in areas affected by moderate and high fire severities. The survival rate reported in this research fluctuated between 72 and 85% across all the study conditions, which is considered quite good. A similar study of <italic>A. araucana</italic> seedlings, conducted in areas with no burns or biological legacies, found no significant differences in seedling survival comparing areas with and without cattle exclusion (<xref ref-type="bibr" rid="ref57">Rechene et al., 2003</xref>). However, other studies on conifers have shown that seedling mortality rates can vary widely depending on the species, fire severity, post-fire conditions, climate, and/or site-level topographic conditions (<xref ref-type="bibr" rid="ref47">Marsh et al., 2022</xref>; <xref ref-type="bibr" rid="ref2">Andrus et al., 2022</xref>; <xref ref-type="bibr" rid="ref48">Marshall et al., 2024</xref>). For example, in boreal forests, species like black spruce (<italic>Picea mariana</italic>) and jack pine (<italic>Pinus banksiana</italic>), often exhibit serotiny, a reproductive strategy that ensures seed dormancy until triggered by fire (<xref ref-type="bibr" rid="ref38">Keeley et al., 2011</xref>). This adaptation provides a reliable seed bank for post-fire regeneration, but even serotinous species can experience high mortality rates if fires are too severe or frequent over time (<xref ref-type="bibr" rid="ref12">Brown and Johnstone, 2012</xref>; <xref ref-type="bibr" rid="ref13">Buma et al., 2013</xref>; <xref ref-type="bibr" rid="ref34">Harvey et al., 2016</xref>; <xref ref-type="bibr" rid="ref70">Turner et al., 2019</xref>). In contrast, many coniferous species in temperate forests of the southern hemisphere, including <italic>A. araucana</italic>, rely on dispersed seeds and post-fire seed germination, which is generally high for Araucaria (<xref ref-type="bibr" rid="ref26">Fuentes-Ramirez et al., 2019</xref>). On this basis, biological legacies (i.e., fallen trees or standing snags) are thought to be important for improving post-fire site conditions at the micro-site scale by providing shelter and protection especially for the establishment of new seedlings after disturbances that may increase survival (<xref ref-type="bibr" rid="ref24">Franklin et al., 2000</xref>; <xref ref-type="bibr" rid="ref4">Arroyo-Vargas et al., 2019</xref>; <xref ref-type="bibr" rid="ref44">Lindenmayer et al., 2019</xref>). What might explain why <italic>Araucaria araucana</italic> seedlings are able to survive well in burned areas with no aid of biological legacies, is the attribute of activating physiological mechanisms that allow them to tolerate short-term droughts (<xref ref-type="bibr" rid="ref52">Pap&#x00FA; et al., 2021</xref>), which is related to high survival rate even though post-fire biological legacies were absent.</p>
<p>The growth of seedlings in terms of height was constant over time independently of the treatment (i.e., with vs. without biological legacies or with cattle exclusion) and burn condition (i.e., moderate or high fire severity). Although there were some significant differences in growth after 24- or 54-months post-plantation, the fitted models did not show a significantly better performance when considering any of the explanatory variables (biological legacies or absence of cattle activity). Nonetheless, number of shoots and diameter at root collar of seedlings showed a trend of improving when biological legacies were absent instead. On a previous study, <xref ref-type="bibr" rid="ref57">Rechene et al. (2003)</xref> also measured diameter at root collar and height of <italic>A. araucana</italic> seedlings that were planted in the field with and without exclusions. However, they only found statistical differences in the growth of the diameter at root collar between seedling groups with different years when planted in the field, which is expected. Nonetheless, seedling survival can be low because of herbivory, trampling, competition with weeds, and an increase in the severity and frequency of fires in burned areas (<xref ref-type="bibr" rid="ref62">Sanguinetti and Kitzberger, 2010</xref>; <xref ref-type="bibr" rid="ref16">Crovo et al., 2021</xref>; <xref ref-type="bibr" rid="ref43">Lewis et al., 2024</xref>). In addition, our study only considers the early establishment of seedlings in a period of 5-years, and longer measurements are needed to better understand plant growth and the potential long-term effects of biological legacies and cattle exclusion in a long-lived conifer such as <italic>A. araucana</italic>. In this context, a wide range of studies have demonstrated that the presence of biological legacies and the exclusion of cattle improve the performance of seedling establishment of <italic>A. araucana</italic> from temperate forests in southern hemisphere (<xref ref-type="bibr" rid="ref32">Gonz&#x00E1;lez and Veblen, 2007</xref>; <xref ref-type="bibr" rid="ref10">Blackhall et al., 2008</xref>; <xref ref-type="bibr" rid="ref75">Zamorano-Elgueta et al., 2012</xref>), which can ensure the success of seedling establishment in harsh conditions when the forest is subjected to disturbances. Nonetheless, these findings are seldom taken into account when restoration actions are designed or implemented at larger operational scales (<xref ref-type="bibr" rid="ref65">Stanturf et al., 2014</xref>; <xref ref-type="bibr" rid="ref41">K&#x00F6;bel et al., 2021</xref>). Despite these practice challenges, our results highlight the remarkable resilience of <italic>A. araucana</italic> in burned forests, demonstrating its ability to survive and grow even under the harsh challenging conditions imposed by severe anthropogenic fire events, presenting a significant opportunity to tackle down restoration bottlenecks and support ecosystem recovery more efficiently (<xref ref-type="bibr" rid="ref7">Bannister et al., 2018</xref>).</p>
<p>Our study shows that while <italic>A. araucana</italic> can establish in burned areas, its slow early growth as a seedling may be affected by predicted warmer and drier conditions. In addition, shifts from natural successional trajectories may be exacerbated by the combined effects of fire severity, cattle pressure, and other disturbances, highlighting the need for strategic restoration actions to support ecosystem recovery (<xref ref-type="bibr" rid="ref6">Bannister et al., 2022</xref>; <xref ref-type="bibr" rid="ref17">Donoso et al., 2024</xref>). Furthermore, and despite harsh post-fire conditions in burned areas, <italic>A. araucana</italic> displays key evolutionary characteristics that allow it to survive and grow well without biological legacies or under cattle exclusion management, which would make it easier for restoration efforts to be undertaken at broader scales.</p>
</sec>
<sec id="sec11">
<title>Restoration implications</title>
<p>The results show that planted <italic>A. araucana</italic> seedlings exhibit high survival rate and good initial height growth during the first 5&#x202F;years post-fire, which could be auspicious for post-fire restoration plans. One of the main issues on these forests is that severe wildfires importantly affect the natural regeneration of <italic>A. araucana</italic> due to the lack of surviving female trees in burned patches (<xref ref-type="bibr" rid="ref3">Arroyo-Vargas et al., 2024</xref>). Although the species has some fire adaptations (<xref ref-type="bibr" rid="ref14">Burns, 1993</xref>; <xref ref-type="bibr" rid="ref30">Gonz&#x00E1;lez et al., 2006</xref>), the mortality of mature trees is high in large severely burned areas, and seedling establishment is practically absent within these burned patches (<xref ref-type="bibr" rid="ref3">Arroyo-Vargas et al., 2024</xref>; <xref ref-type="bibr" rid="ref5">Assal et al., 2018</xref>; <xref ref-type="bibr" rid="ref33">Gonz&#x00E1;lez et al., 2010</xref>). Our study reports that <italic>A. araucana</italic> is well capable of surviving and growing with no specific management, such as using biological legacies as protection or preventing cattle into burned areas. Considering these results and previous studies, when planning planting programs and management, large areas affected by severe fires should be prioritized for restoration due to the lack of natural regeneration. Thus, using nearby biological legacies does not appear to increase seedling establishment in the short-term, nor does avoiding cattle in burned areas. Yet, these practices may benefit post-fire vegetation recovery in the long run (<xref ref-type="bibr" rid="ref4">Arroyo-Vargas et al., 2019</xref>; <xref ref-type="bibr" rid="ref10">Blackhall et al., 2008</xref>; <xref ref-type="bibr" rid="ref75">Zamorano-Elgueta et al., 2012</xref>), and could be considered when feasible.</p>
</sec>
<sec sec-type="conclusions" id="sec12">
<title>Conclusion</title>
<p>Survival of Araucaria seedlings reached an overall rate of 75% after 5&#x202F;years of assessment, with no significant effects of biological legacies nor the exclusion of cattle. Neither of the fire severity conditions assessed in this research had an effect on seedling survival over time. Thus, in absence of further disturbances, seedling survival with no improved micro-site conditions caused by biological legacies, would be enough to properly recover Araucaria after fires. Plant growth did show a significant and positive response only for height in areas of high fire severity when seedlings were planted nearby biological legacies and were protected from cattle. This, however, was marked in the first 2&#x202F;years post-planting, and then the effect tended to weaken as plants grew over time. Furthermore, these findings were not consistent for other growth variables such as number of buds nor for root collar diameter. In summary, <italic>A. araucana</italic> is well capable of surviving and growing in absence of biological legacies or when preventing cattle into burned areas, highlighting a great resilience capacity that exceeds expectations under fire and grazing pressure to face its recovery after severe forest fires.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec13">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="author-contributions" id="sec14">
<title>Author contributions</title>
<p>BD-M: Data curation, Formal analysis, Writing &#x2013; original draft. PA-V: Supervision, Writing &#x2013; review &#x0026; editing, Validation, Visualization. RV-G: Writing &#x2013; review &#x0026; editing, Conceptualization, Methodology, Resources. LA-M: Writing &#x2013; review &#x0026; editing, Visualization. HH: Visualization, Writing &#x2013; review &#x0026; editing. AF-R: Writing &#x2013; review &#x0026; editing, Conceptualization, Funding acquisition, Project administration, Resources, Supervision.</p>
</sec>
<sec sec-type="funding-information" id="sec15">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This research was funded by ANID FONDECYT Regular 1241295 (PI A. Fuentes-Ramirez). AF-R thanks to DIUFRO PP24-0015, Direcci&#x00F3;n de Investigaci&#x00F3;n, Universidad de La Frontera. AF-R, BD-M, PA-V, and RV-G thank the support received from Centro ANID Basal CENAMAD (FB210015). HH thanks to ANID FONDEF ID23I10303 and RV-G thanks DIUFRO DI22-0042. This research is part of the Red Firewall initiative (ANID FOVI 220101 and Grant ANID AMSUD 240053).</p>
</sec>
<ack>
<p>The authors thank several students as well as the park rangers from the National Reserve China Muerta for helping with fieldwork. O. Barra and Z. Calzadilla assisted with greenhouse work. Two reviewers made a number of comments and suggestions greatly improving the first version of the manuscript.</p>
</ack>
<sec sec-type="COI-statement" id="sec16">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec17">
<title>Generative AI statement</title>
<p>The authors declare that Gen AI was used in the creation of this manuscript. During the preparation of this work the author(s) used the DeepL App in order to improve language and readability. After using this tool/service, the author(s) reviewed and edited the content as needed and take(s) full responsibility for the content of the publication.</p>
</sec>
<sec sec-type="disclaimer" id="sec18">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="sec19">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/ffgc.2025.1631614/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/ffgc.2025.1631614/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.pdf" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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