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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="3.0" xml:lang="en">
   <front>
      <journal-meta>
         <journal-id journal-id-type="publisher-id">FS</journal-id>
         <journal-title-group>
            <journal-title>Forest Systems</journal-title>
            <abbrev-journal-title>FS</abbrev-journal-title>
         </journal-title-group>
         <issn pub-type="epub">2171-9845</issn>
         <publisher>
            <publisher-name>Instituto Nacional de InvestigaciÃ³n y TecnologÃ­a Agraria y Alimentaria (INIA)</publisher-name>
         </publisher>
      </journal-meta>
      <article-meta>
         <article-id pub-id-type="publisher-id">11566</article-id>
         <article-id pub-id-type="doi">10.5424/fs/2017263-11566</article-id>
         <article-categories>
            <subj-group subj-group-type="heading">
               <subject>research article</subject>
            </subj-group>
         </article-categories>
         <title-group>
            <article-title>
               Fire response of the endangered
               <italic>Pinus culminicola</italic>
               stands after 18 years in Cerro El Potosí, northeast Mexico
            </article-title>
         </title-group>
         <contrib-group>
            <contrib contrib-type="author" corresp="yes">
               <name>
                  <surname>José R.</surname>
                  <given-names>Arévalo</given-names>
                  <aff>Universidad de La Laguna, Facultad de Ciencias, Dept. de Botánica, Ecología y Fisiología Vegetal, La Laguna 38206 Tenerife, Spain.</aff>
               </name>
            </contrib>
            <contrib contrib-type="author" corresp="no">
               <name>
                  <surname>Estrada</surname>
                  <given-names>Eduardo</given-names>
                  <aff>Universidad Autónoma de Nuevo León, Facultad de Ciencias Forestales. Apartado postal 41, Linares, 67700 Nuevo León, Mexico.</aff>
               </name>
            </contrib>
            <contrib contrib-type="author" corresp="no">
               <name>
                  <surname>Encina</surname>
                  <given-names>Juan A.</given-names>
                  <aff>Universidad Autónoma de Nuevo León, Facultad de Ciencias Forestales. Apartado postal 41, Linares, 67700 Nuevo León, Mexico.</aff>
               </name>
            </contrib>
            <contrib contrib-type="author" corresp="no">
               <name>
                  <surname>Villarreal</surname>
                  <given-names>José A.</given-names>
                  <aff>Universidad Autónoma Agraria Antonio Narro, Dept. de Botánica. Buenavista, Saltillo 25315, Coahuila, Mexico.</aff>
               </name>
            </contrib>
            <contrib contrib-type="author" corresp="no">
               <name>
                  <surname>Escobedo</surname>
                  <given-names>Job R.</given-names>
                  <aff>Universidad Autónoma de Nuevo León, Facultad de Ciencias Forestales. Apartado postal 41, Linares, 67700 Nuevo León, Mexico.</aff>
               </name>
            </contrib>
            <contrib contrib-type="author" corresp="no">
               <name>
                  <surname>Morales</surname>
                  <given-names>Yaretzi</given-names>
                  <aff>Universidad Autónoma de Nuevo León, Facultad de Ciencias Forestales. Apartado postal 41, Linares, 67700 Nuevo León, Mexico.</aff>
               </name>
            </contrib>
            <contrib contrib-type="author" corresp="no">
               <name>
                  <surname>Cantú</surname>
                  <given-names>Israel</given-names>
                  <aff>Universidad Autónoma de Nuevo León, Facultad de Ciencias Forestales. Apartado postal 41, Linares, 67700 Nuevo León, Mexico.</aff>
               </name>
            </contrib>
            <contrib contrib-type="author" corresp="no">
               <name>
                  <surname>González-Rodríguez</surname>
                  <given-names>Humberto</given-names>
                  <aff>Universidad Autónoma de Nuevo León, Facultad de Ciencias Forestales. Apartado postal 41, Linares, 67700 Nuevo León, Mexico.</aff>
               </name>
            </contrib>
            <contrib contrib-type="author" corresp="no">
               <name>
                  <surname>Uvalle</surname>
                  <given-names>José</given-names>
                  <aff>Universidad Autónoma de Nuevo León, Facultad de Ciencias Forestales. Apartado postal 41, Linares, 67700 Nuevo León, Mexico.</aff>
               </name>
            </contrib>
         </contrib-group>
         <author-notes>
            <corresp>
               should be addressed to José R. Arévalo:
               <email xlink:href="jarevalo@ull.edu.es">jarevalo@ull.edu.es</email>
            </corresp>
         </author-notes>
         <pub-date pub-type="epub">
            <day>01</day>
            <month>12</month>
            <year>2017</year>
         </pub-date>
         <pub-date pub-type="collection">
            <year>2017</year>
         </pub-date>
         <volume>26</volume>
         <issue>3</issue>
         <elocation-id content-type="doi">10.5424/fs/2017263-11566</elocation-id>
         <history>
            <date date-type="recibido">
               <day>20</day>
               <month>04</month>
               <year>2017</year>
            </date>
            <date date-type="aceptado">
               <day>21</day>
               <month>11</month>
               <year>2017</year>
            </date>
         </history>
         <permissions>
            <copyright-statement>Â© 2017 INIA</copyright-statement>
            <copyright-year>2017</copyright-year>
            <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc/3.0/">
               <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution (CC-by) Spain 3.0 License.</license-p>
            </license>
         </permissions>
         <abstract id="abstract01">
            <title>Abstract</title>
            <p>
               <italic>Aim of study</italic>
               : To analyze the impact of the 1998 wildfire on dwarf pine (
               <italic>Pinus culminicola</italic>
               ) population stands 18 years after the fire.
               <italic>Area of study</italic>
               : Cerro el Potosí, Nuevo León (México).
               <italic>Material and methods</italic>
               : We measured regeneration, biovolume of individuals, diversity and species composition in unburned and burned plots randomly selected in the area.
               <italic>Main results</italic>
               : Recovery was very slow, with limited dense natural regeneration and very slow growth. Significant differences between control and burned plots were found with respect to regeneration, species composition, evenness and soil nutrients, suggesting that fire could promote natural regeneration and biodiversity in these communities.
               <italic>Research highlights</italic>
               : Management efforts are necessary to maintain a natural fire regime and ensure grazing exclusion in order to favor the conservation of the community dominated by this rare species
               <italic>P. culminicola</italic>
               .
            </p>
         </abstract>
         <kwd-group>
            <title>Key words:</title>
            <kwd>fire ecology</kwd>
            <kwd>DCA</kwd>
            <kwd>Permanova</kwd>
            <kwd>richness</kwd>
         </kwd-group>
         <kwd-group>
            <title>Abbreviations used:</title>
            <kwd>CIC (Cationic Interchange Complex)</kwd>
            <kwd>DCA (Detrended Correspondence Analysis)</kwd>
            <kwd>EC (Exchangeable Cation)</kwd>
            <kwd>OM (Organic Matter)</kwd>
         </kwd-group>
         <p>
            <bold>Authors´ contributions:</bold>
            Conceived, designed and performed the experiments: JRA, EE and HGR. Analyzed the data: JRA, JAV, JRE and YM. Contributed reagents/materials/analysis tools: JAV, JRE, YM, IC and JU. Wrote the paper: JRA, JAE and EE. All authors read and approved the final manuscript.
         </p>
         <funding-group>
            <funding-statement>Program of cooperation Universidad de La Laguna-Universidad Autónoma de Nuevo León, included in the official frame agreement of these institutions; Facultad de Ciencias Forestales of the Universidad Autónoma de Nuevo León; University of La Laguna (Research Program) covered the travel expenses of JRA.</funding-statement>
         </funding-group>
      </article-meta>
      <notes>
         <p>
            <bold>Competing interests:</bold>
            The authors have declared that no competing interests exist.
         </p>
      </notes>
   </front>
   <body>
      <sec id="S1">
         <title>Introduction</title>
         <p>
            Habitat loss and invasive species are the main threats to the survival of most endangered species (
            <xref ref-type="bibr" rid="b15">D’Antonio &amp; Kark, 2002</xref>
            ), especially for species with small populations and slow regeneration. This is common at high altitudes due to the limited productivity of these sites and the short growing season (
            <xref ref-type="bibr" rid="b36">Mark &amp; Baylis, 1963</xref>
            ;
            <xref ref-type="bibr" rid="b50">Whittaker &amp; Fernández-Palacios, 2007</xref>
            ). If these species have also been reduced to just small remnant populations, natural processes such as fire can mean a dangerous threat of extinction. In addition, there are many other elements of change that can endanger these populations (
            <xref ref-type="bibr" rid="b49">Walker &amp; Steffen, 1997</xref>
            ) in the long term, such as global warming, which can be intensified in these small and environmentally limited populations (
            <xref ref-type="bibr" rid="b19">Farjon, 2013</xref>
            ).
         </p>
         <p>
            Many high elevation forest ecosystems are adapted to stand-replacing fires (
            <xref ref-type="bibr" rid="b11">Baker, 2006</xref>
            ), and fire can be a key disturbance process influencing tree survival and regeneration (
            <xref ref-type="bibr" rid="b16">
               DeBano
               <italic>et al</italic>
               ., 1998
            </xref>
            ). The recovery of a stand will depend on seed production and dispersion (
            <xref ref-type="bibr" rid="b17">
               Donato
               <italic>et al</italic>
               ., 2009
            </xref>
            ), and climate conditions will govern the success of seedling and sapling establishment (
            <xref ref-type="bibr" rid="b7">Arévalo &amp; Fernández-Palacios, 2008</xref>
            ;
            <xref ref-type="bibr" rid="b1">
               Allen
               <italic>et al</italic>
               ., 2012
            </xref>
            ), with post-fire conditions playing an important role.
         </p>
         <p>
            Dwarf pine (
            <italic>Pinus culminicola</italic>
            ) was described by
            <xref ref-type="bibr" rid="b3">Andresen &amp; Beaman (1961)</xref>
            as a new species from the highest ridges of Cerro El Potosí, Mexico. In 1966, the species occupied a total area of 106 ha (
            <xref ref-type="bibr" rid="b12">Beaman &amp; Andresen, 1966</xref>
            ), and a few years later, it was found in Sierra La Marta and Sierra La Viga in the state of Coahuila, and Cerro Peña Nevada in Nuevo León, with spatial patterns and altitudinal distribution ranges similar to those determined for Cerro El Potosí (
            <xref ref-type="bibr" rid="b41">Riskind &amp; Patterson, 1975</xref>
            ). Fire is a key component of the dynamics of these communities, and in 1978, wildfires on Cerro El Potosí burned 34% of the area occupied by dwarf pine (
            <xref ref-type="bibr" rid="b22">García, 1989</xref>
            ). Other anthropogenic impacts have also reduced the area formerly covered by dwarf pine, including road building, cattle grazing, mining and land use changes for the installation of telecommunication and aerial navigation infrastructure (
            <xref ref-type="bibr" rid="b30">
               Jiménez
               <italic>et al</italic>
               ., 2005
            </xref>
            ).
         </p>
         <p>
            In 1998, several wildfires drastically reduced the area covered by dwarf pine on Cerro El Potosí. Currently, only 30 ha of severely fragmented dwarf pine area exist in Cerro El Potosí, including adults with low seed production that are subject to the impact of grazing and trampling by cattle and horses (
            <xref ref-type="bibr" rid="b29">
               Jiménez
               <italic>et al</italic>
               ., 1999
            </xref>
            ). There are no studies of
            <italic>P. culminicola</italic>
            populations on other mountains where it occurs, and unfortunately most of these areas are not legally protected and are also subjected to grazing and human-induced fires.
         </p>
         <p>This is a species with very small distribution range, highly sensitive to fire, whose population has been reduced and is endangered. Furthermore, it grows in an area where environmental conditions, including drought and very low temperatures, lead to a short growing season. Therefore, changes in the natural disturbances patterns could result in the extinction of the species.</p>
         <p>
            The main objective of this study was to study the regeneration, almost 20 years after the last fire affected this small stand. We tested the hypothesis that
            <italic>P. culminicola</italic>
            follows a pattern of stand replacement after fire and that its regeneration requires fire in order to renew individuals in the area.
         </p>
      </sec>
      <sec id="S2">
         <title>Material and methods</title>
         <sec id="S2.1">
            <title>Study area</title>
            <p>
               The study area is located at the top of the Cerro El Potosí. This is a legally protected natural area, established by the government of the state of Nuevo León under the category of ecological conservation (
               <xref ref-type="bibr" rid="b40">PO, 2000</xref>
               ). This mountain is located on
               <italic>ejidal</italic>
               and private lands in the south of the State of Nuevo León, Mexico (lat. 24°52´N, long. 100°13´W) within the Sierra Madre Oriental range, between the Gulf Coastal Plain and the Mexican High Plateau (<xref ref-type="fig" rid="F1">Fig. 1</xref>) and dates in some parts from the inferior cretaceous with a marine sedimentary origin (
               <xref ref-type="bibr" rid="b23">García &amp; González, 1991</xref>
               ). Soils are classified as Orthens and also some Rendolls with poor discrimination of horizons, as well as Litosoils (
               <xref ref-type="bibr" rid="b25">González, 1999</xref>
               ). The maximum elevation at Cerro El Potosí reaches 3,721 m.
            </p>
			<fig id="F1">
    <label>Figure 1.</label>
    <caption>
    <title>Location and map of the studied area in Cerro El Potosí, Mexico. Burned and unburned plots are
indicated.</title>
    </caption>
    <graphic xlink:href="fs_e015_f01.jpg" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</fig>

            <p>
               The climatic data indicate that it is an E(T) H(e) type climate following the Köppen classification modified by
               <xref ref-type="bibr" rid="b21">García (1988)</xref>
               . Mean annual precipitation is low, less than 600 mm, falling mainly in the month of September and supplemented by fog condensation. Average annual temperature is 12
               <sup>o</sup>
               C, with an average minimum in January of -1.5
               <sup>o</sup>
               C. The mountain top is exposed to high winds for most of the year. Dense fogs often occur throughout the year. Snow may fall several times during winter, persisting for a few days on northern and northeastern slopes (
               <xref ref-type="bibr" rid="b24">García, 1996</xref>
               ).
            </p>
            <p>
               In this area, the population of
               <italic>P. culminicola</italic>
               occurs mainly over 3,600 m a.s.l. with isolated individuals below that altitude. Density is highly variable ranging from 200 to 25 ind/ha. Above 3,600 m, it is the dominant shrub, forming shrublands associated with
               <italic>Juniperus zanonii</italic>
               interspersed with occasional gnarled and stunted
               <italic>Pinus hartwegii</italic>
               (
               <xref ref-type="bibr" rid="b18">
                  Estrada
                  <italic>et al</italic>
                  ., 2014
               </xref>
               ). This community was described by
               <xref ref-type="bibr" rid="b42">Rzedowski (2006)</xref>
               as
               <italic>Pinus</italic>
               shrubland and occupies a narrow altitudinal belt, growing between the
               <italic>Pinus hartwegii</italic>
               forest and the alpine meadow.
            </p>
         </sec>
         <sec id="S2.2">
            <title>The species</title>
            <p>
               <italic>Pinus culminicola</italic>
               Andresen &amp; Beaman is a dwarf shrub 0.5-2.5 m tall and with more than 1.0 m of canopy cover. It is multi-stemmed with low, dense and rounded crowns. The bark is grey-brown, thin and scaly at the base of the trunk. The leaves (‘needles’) are in fascicles of five, slender, 3-5.5 cm long, and deep green to blue-green, with stomata confined to a bright white band on the inner surfaces. The cones are globose, 3-4 cm long and broad when closed, green at first, ripening yellow-brown when 16-18 months old, with only a small number of thin, fragile scales, typically 6-14 fertile scales. The cones open to a breadth of 4-6 cm when mature (non-serotinous), approximately in October, holding the seeds on the scales after opening. The seeds are 9-12 mm long, with a thick shell, a white endosperm, and a vestigial 1-2 mm wing (
               <xref ref-type="bibr" rid="b18">
                  Estrada
                  <italic>et al</italic>
                  ., 2014
               </xref>
               ). They are dispersed by the Clark’s nutcracker, which pluck the seeds out of the open cones. These jays, which use the seeds as a major food resource, store many of the seeds for later use; however, some of these stored seeds are not used and are able to grow into new plants. The species is endemic to a few mountain tops in the states of Coahuila and Nuevo León in northeast Mexico (
               <xref ref-type="bibr" rid="b48">Villaseñor, 2016</xref>
               ). The conservation status of the species according to
               <xref ref-type="bibr" rid="b43">SEMARNAT (2010)</xref>
               is in danger of extinction. Following the IUCN Red List of Threatened Species, this species is assessed as endangered under criterion B1+2 (restricted distribution to few populations), and grazing and fire are threatening these populations (
               <xref ref-type="bibr" rid="b19">Farjon, 2013</xref>
               ).
               <italic>P. culminicola</italic>
               has a very restricted range, and while not subject to intensive cutting for fuel wood, it is, during long dry periods, very susceptible to fire (
               <xref ref-type="bibr" rid="b39">Perry, 1991</xref>
               ).
            </p>
         </sec>
         <sec id="S2.3">
            <title>Sampling design</title>
            <p>
               During October-November 2015, we sampled 40 plots in the Cerro El Potosí, in the area with the densest existing population, affected by fire in 1998 and 1978, both of which were considered intense and severe fires during summer periods (
               <xref ref-type="bibr" rid="b23">García &amp; Gonzalez, 1991</xref>
               ). In the burned area (hereafter burned), we randomly located 21 plots, while in the unburned area (hereafter unburned) we located 19 plots (<xref ref-type="fig" rid="F1">Fig. 1</xref>). Each plot was 15 × 15 m (225 m
               <sup>2</sup>
               ).
            </p>
            <p>
               In each plot, we collected one composite soil sample of about 1 kg from 0-30 cm depth. Each sample was mixed, dried, and sieved through a 2 mm sieve, and debris and stones were removed from the soil. We analyzed pH, EC (electrical conductivity of extract, dS/m), Olsen P (ppm), N (ppm), % organic matter (OM), available cations in ppm (Na, K, Ca, Mg) and CIC (Cationic Interchange Complex, meq/100 g). Percentages of clay, sand and silt were also analyzed. We followed standard methods of analyses (
               <xref ref-type="bibr" rid="b4">AOAC, 1990</xref>
               ;
               <xref ref-type="bibr" rid="b35">MAPA, 1986</xref>
               ). Altitude, aspect and slope were measured in each plot.
            </p>
            <p>
               The available information on fires indicated that in 1978, 30% of the pine population was burned, while in 1998, after several fire events, the population was reduced to 30 ha of fragmented patches. The fire intensity was high enough to eliminate all the individuals’ affected (
               <xref ref-type="bibr" rid="b30">
                  Jiménez
                  <italic>et al</italic>
                  ., 2005
               </xref>
               ). In the burned plots, all regeneration woody plants (trees and shrubs) after 1998 were recorded together with the height and two crown diameters (the larger one and its perpendicular), which allowed for the calculation of the total biovolume of the species (
               <xref ref-type="bibr" rid="b8">
                  Arévalo
                  <italic>et al</italic>
                  ., 2015
               </xref>
               ). Dead trees were also counted and measured. In the unburned plots, due to the dense cover of the pines, only the total cover of pines and other woody species on each plot were recorded, and regeneration was noted (individuals under 130 cm tall).
            </p>
            <p>
               All species cover on plot surfaces was estimated and noted on a scale of 1 to 9 (cover classes: 1, traces; 2, &gt;1% of cover in the plot; 3, 1-2%; 4, 2-5%; 5, 5-10%; 6, 10-25%; 7, 25-50%; 8, 50-75%; 9, &gt;75%). A basic feature of biological plant communities is the distribution of abundance among species, so we calculated the
               <xref ref-type="bibr" rid="b45">Smith &amp; Wilson (1996)</xref>
               evenness index for each plot. An estimation of rock, soil and litter cover was made in each plot using a scale of 1 to 9 (the same scale as used for species cover).
            </p>
            <p>
               For species names, we followed the checklist of flora for the summit of Cerro El Potosí (
               <xref ref-type="bibr" rid="b23">García &amp; González, 1991</xref>
               ).
            </p>
         </sec>
         <sec id="S2.4">
            <title>Statistical analyses</title>
            <p>
               We performed a one-way distance-based permutational t-test (
               <xref ref-type="bibr" rid="b2">
                  Anderson
                  <italic>et al</italic>
                  ., 2008
               </xref>
               ) for comparison of species richness and Smith &amp; Wilson evenness values of unburned plots
               <italic>vs</italic>
               . burned plots. The analyses were based on Brian-Curtis similarity of the raw data, with
               <italic>p</italic>
               -values (
               <italic>p</italic>
               &lt; 0.05) obtained with 9999 permutations and a Monte Carlo correction when necessary. Primer 6 and Permanova+ (PRIMER-E Ltd, Plymouth, UK) were used to perform all PERMANOVA statistical procedures.
            </p>
            <p>
               We used DCA (Detrended Correspondence Analysis;
               <xref ref-type="bibr" rid="b28">Hill &amp; Gauch, 1980</xref>
               ) to analyse the species composition (based on species cover) of burned
               <italic>vs</italic>
               . unburned plots. The coordinates on the first DCA axis for each plot were correlated with the environmental and soil nutrient variables using the Pearson correlation coefficient and tested for significance (
               <italic>p</italic>
               &lt; 0.05) and the multiple test procedure of Holm for independent tests (
               <xref ref-type="bibr" rid="b33">Legendre &amp; Legendre, 1998</xref>
               ) was also applied.
            </p>
            <p>
               For the significantly correlated variables with the coordinates of the plots, we performed a one-way distance-based permutational t-test as before. To determine if DCA axes discriminated the species composition based on burned
               <italic>vs</italic>
               . unburned, the coordinates of transects from the DCA for axes I and II were analyzed using logistic regression and the Wald statistic to determine its significance (for
               <italic>p</italic>
               &lt;0.05). We performed all multivariate analysis with the CANOCO package (
               <xref ref-type="bibr" rid="b46">ter Braak &amp; Smilauer, 1998</xref>
               ). The statistical methods used followed
               <xref ref-type="bibr" rid="b51">Zar (1984)</xref>
               and were implemented using Primer 6 and Permanova+ (PRIMER-E Ltd, Plymouth, UK).
            </p>
         </sec>
      </sec>
      <sec id="S3">
         <title>Results</title>
         <p>
            Significant differences were found between unburned and burned plots, for almost all the variables included in this study. A total richness of 22 species was found for the study area, herbs were the most common (<xref ref-type="table" rid="T1">Table 1</xref>). We did not find pine regeneration in unburned plots, while in burned plots pine regeneration was present in all the plots. The density ranged between 0 and 46 individuals. Average number of pines for plots with regeneration was 11.1 (±12.8) individuals and biovolume 4.7 (±6.6) m
            <sup>3</sup>
            . More than 40% of the individuals presented mature pine cones. In addition to
            <italic>P. culminicola</italic>
            , we also found another woody species,
            <italic>Juniperus zanonii</italic>
            , regenerating in 5 of the burned plots and in one unburned plot. Density of this species ranged between 13 and 3 in burned plots and one individual in an unburned plot. Biovolume ranged between 0.03 and 0.01 m
            <sup>3</sup>
            in burned plots and 0.08 m
            <sup>3</sup>
            in unburned ones. No evidence of dead individuals after 1998 was found in burned or unburned plots. Richness did not differ significantly between unburned
            <italic>vs</italic>
            . burned plots, however, Smith &amp; Wilson evenness index was significantly higher (pseudo F
            <sub>38</sub>
            =2.95,
            <italic>p</italic>
            &lt;0.05) in burned plots (<xref ref-type="table" rid="T2">Table 2</xref>).
         </p>
		 <table-wrap id="T1">
    <label>Table 1.</label>
    <caption>
    <title>List of the species recorded on the plots and
Raunkaier classification. </title>
    </caption>
    <graphic xlink:href="fs_e015_t01.jpg" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</table-wrap>
<table-wrap id="T2">
    <label>Table 2.</label>
    <caption>
    <title>Biotic characteristics (225 m<super>2</super>) of the plots (average and standard deviation). </title>
    </caption>
    <graphic xlink:href="fs_e015_t02.jpg" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</table-wrap>

         <p>
            The environmental variables and soil nutrient variables average per plot are indicated in <xref ref-type="table" rid="T3">Table 3</xref>. Only 5 of these variables are correlated with the DCA axis I site scores: Litter, rock, pH, Ca and Mg (Pearson correlation coefficient -0.81, 0.49, 0.64, 0.45 and -0.53; all of them significant for a
            <italic>p</italic>
            &lt;0.01 after Holm correction). We found all of these variables were significantly different when comparing burned
            <italic>vs</italic>
            . unburned plots.
         </p>
		 <table-wrap id="T3">
    <label>Table 3.</label>
    <caption>
    <title> Environmental and nutrient content variables measured in unburned plots <italic>vs.</italic> burned plots (mean and SD). The
variables significantly correlated with the axis I of DCA analysis are indicated in bold (for these variables, significant
differences between unburned <italic>vs.</italic> burned are indicated as <italic>p</italic> &lt; 0.05 as "&#8727;" and <italic>p</italic> &lt; 0.01 as "&#8727;&#8727;").</title>
    </caption>
    <graphic xlink:href="fs_e015_t03.jpg" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</table-wrap>

         <p>
            As expected, litter cover was higher in unburned plots (pseudo F
            <sub>38</sub>
            =64.04,
            <italic>p</italic>
            &lt;0.01), while rock cover higher in burned plots (pseudo F
            <sub>38</sub>
            =24.04,
            <italic>p</italic>
            &lt;0.01). The pH was higher in burned plots (Pseudo F
            <sub>38</sub>
            =16.87,
            <italic>p</italic>
            &lt;0.01). Mg was significantly higher in unburned plots (pseudo F
            <sub>38</sub>
            =13.74,
            <italic>p</italic>
            &lt;0.01), while Ca was higher in burned plots (pseudo F
            <sub>38</sub>
            = 4.83,
            <italic>p</italic>
            &lt;0.05).
         </p>
         <p>
            The DCA analysis (eigenvalues of axes I and II were 3.41 and 3.29, respectively, and the cumulative percentage of variance explained by both axes was 33.3 %) discriminated significantly unburned and burned plots along axis I using the logistic regression analysis of the plot scores taking as dependent variable burned
            <italic>vs</italic>
            . unburned (B = -3.642, Wald = 19.119,
            <italic>p</italic>
            &lt;0.01). Based on cover,
            <italic>P. culminicola</italic>
            ,
            <italic>Salvia microphylla</italic>
            and
            <italic>Tauschia madrensis</italic>
            were the most representative of the species composition in unburned plots (solid line polygon, <xref ref-type="fig" rid="F2">Fig. 2</xref>), while the shrub
            <italic>Ribes ciliatum</italic>
            and forbs
            <italic>Hymenoxys insignis</italic>
            or
            <italic>Villadia aristata</italic>
            were more representative for the species composition of burned plots (dashed line polygon, <xref ref-type="fig" rid="F2">Fig. 2</xref>). The rest of the species have similar importance in plots, such as the shrub
            <italic>Juniperus zanonii</italic>
            or well-distributed species like
            <italic>Achillea millefolium</italic>
            ,
            <italic>Penstemon leonensis</italic>
            or
            <italic>Senecio loratifolius</italic>
            (<xref ref-type="fig" rid="F2">Fig. 2</xref>).
         </p>
		 <fig id="F2">
    <label>Figure 2.</label>
    <caption>
    <title>Species and plot scores in the space defined by
axes I and II of DCA based on the matrix cover of the
species. Dashed line polygon encloses burned plots; solid
line polygon encloses unburned plots. The names of the
species use the first three letters of the genus and the first
three letters of the specific epithet (<italic>Achillea millefolium,
Bromus carinatus, Campanula rotundifolia, Ceanothus
fendleri, Cirsium ehrenbergii, Euphorbia beamanii, Garrya
ovata, Geranium crenatifolium, Gnaphalium liebmannii,
Grindelia inuloides, Hymenoxys insignis, Juniperus
zanonii, Lupinus cacuminis, Penstemon leonensis, Pinus
culminicola, Polemonium pauciflorum, Ribes ciliatum,
Salvia microphylla, Senecio coahuilensis, Senecio loratifolius,
Tauschia madrensis, Villadia aristata</italic>).</title>
    </caption>
    <graphic xlink:href="fs_e015_f02.jpg" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</fig>

      </sec>
      <sec id="S4">
         <title>Discussion</title>
         <p>
            Studies into forest fire effects have mainly concentrated on the analysis of the canopy structure, but there have been fewer on the effects on the understory species composition (
            <xref ref-type="bibr" rid="b5">
               Arévalo
               <italic>et al</italic>
               ., 2001
            </xref>
            ). In our study, multivariate analysis revealed some statistically significant patterns of species composition, and the bivariate analyses revealed low differences in species richness. Also we found differences in the structure of the pine stand and soil nutrient composition.
         </p>
         <p>
            Although we did not find significant differences in species richness, evenness was significantly higher in the burned plots. A reduction of the dominance of
            <italic>P. culminicola</italic>
            explains these differences. It is more common to find an increase in species richness together with evenness after natural fires (
            <xref ref-type="bibr" rid="b44">Shafi &amp; Yarranton, 1973</xref>
            ;
            <xref ref-type="bibr" rid="b14">Chaturvedi &amp; Rafhubanshi, 2014</xref>
            ;
            <xref ref-type="bibr" rid="b37">Markham &amp; Essery, 2015</xref>
            ). In any case, in spite of the higher evenness of the burned plots, the values were very low and far from maximum values, indicating the dominance of a few species such as
            <italic>P. culminicola</italic>
            ,
            <italic>Senecio coahuilensis</italic>
            and
            <italic>T. madrensis</italic>
            in unburned plots and
            <italic>Ceanothus fendleri</italic>
            and
            <italic>Euphorbia beamanii</italic>
            in burned plots.
         </p>
         <p>
            Regeneration of woody species has been considered to be susceptible to climate conditions and particularly to extreme events, responding faster than adults to environmental changes or extreme climatic conditions (
            <xref ref-type="bibr" rid="b34">
               Lloret
               <italic>et al</italic>
               ., 2012
            </xref>
            ). In our case, regeneration was present only in burned plots and not in unburned ones (only adult trees were present). Nevertheless, a low growth rate was apparent and recovery was still very low from the situation prior to the fire. Though there was a source of seeds close enough and almost all the burned plots were colonized by
            <italic>P. culminicola</italic>
            . However, in this environment, due to the short growing period and low temperatures, some constraints (
            <xref ref-type="bibr" rid="b32">Körner &amp; Peláez, 1989</xref>
            ;
            <xref ref-type="bibr" rid="b27">
               Häsler
               <italic>et al</italic>
               ., 1999
            </xref>
            ) are expected on root or shoot growth. This alpine ecosystem also requires higher rates of respiration of assimilated CO
            <sub>2</sub>
            , which can explain in part the low growth rate of species (
            <xref ref-type="bibr" rid="b10">
               Atkin
               <italic>et al</italic>
               ., 1996
            </xref>
            ) together with large pools of non-structural carbon in field-growth alpine leaves (
            <xref ref-type="bibr" rid="b38">Mooney &amp; Billings, 1961</xref>
            ). As a result of the low recruitment and growth in alpine environments,
            <italic>P. culminicola</italic>
            , like other species, revealed a high survivorship rate (
            <xref ref-type="bibr" rid="b20">Forbis &amp; Doak, 2004</xref>
            ), with no dead individuals being found in the burned plots since the burning.
         </p>
         <p>
            Species composition was significantly different between unburned
            <italic>vs</italic>
            . burned plots. Dominance of
            <italic>P. culminicola</italic>
            in burned plots did not reduce richness, but significantly reduced evenness (<xref ref-type="fig" rid="F2">Fig. 2</xref>). Species as
            <italic>S. microphylla</italic>
            and
            <italic>T. madrensis</italic>
            were dominant in control plots, while the shrub
            <italic>R. ciliatum</italic>
            and the forbs
            <italic>H. insignis</italic>
            or
            <italic>V. aristata</italic>
            were dominant in burned plots
            <italic>.</italic>
            Evident environmental differences among plots explain these differences in species composition, such as the litter or rock cover. But nutrient level (higher Ca in the burned plots and Mg in unburned plots) is also related to these differences (
            <xref ref-type="bibr" rid="b13">Certini, 2005</xref>
            ). So, more time is still required for the recovery of the area.
         </p>
         <p>
            Fire is an intrinsic characteristic of this and similar ecosystems, and fires may be needed to maintain such systems (
            <xref ref-type="bibr" rid="b9">Arno &amp; Allison-Bunnell, 2002</xref>
            ), though it is also true that some studies have found negatives effects of fire on alpine plant communities (
            <xref ref-type="bibr" rid="b31">Kirkpatrick &amp; Dickinson, 1984</xref>
            ). Previous studies (
            <xref ref-type="bibr" rid="b23">García &amp; González, 1991</xref>
            ) did not report seedlings or saplings in burned areas of Cerro El Potosí during the field trips 13 years after the 1978 fire. In the case of the
            <italic>P. culminicola</italic>
            stand there is no information available about fire rates, but based on these results it is expected to take over 50 years for the plant community to recover (as a conservative estimate). Fires appear to favor natural regeneration (which is absent in unburned plots, with only adult trees present), and their impact on recurrence in vegetation recovery is well known (
            <xref ref-type="bibr" rid="b47">
               Tessler
               <italic>et al</italic>
               ., 2016
            </xref>
            ), especially in these areas with such extreme environmental conditions. It is also clear that mountains areas are especially sensitive to human disturbances or changes in the natural disturbance rate (
            <xref ref-type="bibr" rid="b26">Guisan &amp; Theurillat, 2000</xref>
            ). Grazing is another factor that can limit recovery of plant cover in the area (
            <xref ref-type="bibr" rid="b30">
               Jiménez
               <italic>et al</italic>
               ., 2005
            </xref>
            ) and is determinant in some ecosystems of the plant community (
            <xref ref-type="bibr" rid="b6">
               Arévalo
               <italic>et al</italic>
               ., 2007
            </xref>
            ). Although we did not record of any grazing in the studied area, probably due to the steep slope of the burned and unburned area, there is some evidence around. In this case, grazing of cattle and horse should be prevented as it has been demonstrated that they are potential seedling grazers of this species (
            <xref ref-type="bibr" rid="b30">
               Jiménez
               <italic>et al</italic>
               ., 2005
            </xref>
            ).
         </p>
         <p>
            In conclusion, continuous monitoring of the affected area will be required to supervise the level of recovery and prevent external disturbances (as commented) to favor the establishment of natural regeneration of
            <italic>P. culminicola</italic>
            . However, we do not share the negative view about fire, as we consider it an intrinsic element of plant community dynamics. Nevertheless, conservation efforts are urgent to maintain a natural fire regime (recurrence, intensity, severity) and ensure the exclusion of grazing in order to favor the natural succession of the stand dominated by this unique species.
         </p>
      </sec>
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