<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1405-2768</journal-id>
<journal-title><![CDATA[Polibotánica]]></journal-title>
<abbrev-journal-title><![CDATA[Polibotánica]]></abbrev-journal-title>
<issn>1405-2768</issn>
<publisher>
<publisher-name><![CDATA[Instituto Politécnico Nacional, Escuela Nacional de Ciencias Biológicas]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-27682009000100003</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Small-scale environmental gradients in a pine-oak forest community in Nueva Colonia, Mezquitic, Jalisco, Mexico]]></article-title>
<article-title xml:lang="es"><![CDATA[Gradientes ambientales a pequeña escala de un bosque de pino-encino en Nueva Colonia, Mezquitic, Jalisco, México]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Nieves-Hernández]]></surname>
<given-names><![CDATA[Gregorio]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Vázquez-García]]></surname>
<given-names><![CDATA[J. Antonio]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Vargas-Rodriguez]]></surname>
<given-names><![CDATA[Yalma L.]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Vázquez-García]]></surname>
<given-names><![CDATA[Marcelino]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[González-Gallegos]]></surname>
<given-names><![CDATA[Jesús]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Universidad de Guadalajara Centro Universitario de Ciencias Biológicas y Agropecuarias ]]></institution>
<addr-line><![CDATA[Zapopan Jalisco]]></addr-line>
<country>México</country>
</aff>
<aff id="A02">
<institution><![CDATA[,Louisiana State University Department of Biological Sciences ]]></institution>
<addr-line><![CDATA[Baton Rouge Louisiana]]></addr-line>
<country>USA</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>04</month>
<year>2009</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>04</month>
<year>2009</year>
</pub-date>
<numero>27</numero>
<fpage>31</fpage>
<lpage>52</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-27682009000100003&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-27682009000100003&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-27682009000100003&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[We explored environmental variables related to pine-oak forest community structure at one locality in Jalisco, Mexico. We used an NMS ordination in conjunction with the Sørensen distance to identify the major small-scale community gradients along 25 contiguous quadrats (25 m x 25 m, 400 m² each) of pine-oak forest in Nueva Colonia, Mezquitic, Jalisco, Mexico. The main matrix (25 stands x 7 tree species) included basal area data, and the environmental matrix consisted of 19 quantitative environmental variables. Community structure, through sociological ordination, showed a direct correlation with the vertical altitudinal gradient and apparent soil density, as well as with slope inclination across the horizontal gradient; it also showed an inverse correlation with cation exchange capacity, Ca + Mg, Mg, and altitude across the horizontal gradient. Direct gradient analyses showed an increase of cation exchange capacity, Ca+Mg, Mg and K with decreasing altitude along the vertical gradient (from north to south). Total nitrogen increased with decreasing altitude across the horizontal gradient (from west to east). In addition, we identified three main community groups using UPGMA cluster analysis; however, groups were weakly related to the ordination results and to the physical space. At the 1-hectare scale, species composition and basal area of pine-oak forest in Nueva Colonia can be explained by niche partitioning of altitude and soil gradients. The relevance of nitrogen for this community could be the result of habitat specialization or disturbance history.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Nosotros exploramos cuáles variables ambientales se relacionan con la estructura de comunidades de pino-encino en Nueva Colonia, Mezquitic Jalisco, México. A través de una ordenación NMS y usando la distancia Sørensen se identificaron en la escala pequeña los principales gradientes de comunidades entre 25 parcelas contiguas (25 x 25 m, cada una de 400 m²) de bosque de pino-encino. La matriz principal (25 rodales x 7 especies de árboles) incluyó datos de área basal y la matriz ambiental consistió de 19 variables ambientales cuantitativas. La estructura de la comunidad, mediante la ordenación sociológica, mostró una correlación directa, sobre el gradiente vertical, con la altitud y con la densidad aparente del suelo; y, sobre el gradiente horizontal, con la inclinación de la pendiente; también mostró una correlación inversa, sobre el gradiente horizontal, con la capacidad de intercambio catiónico, Ca + Mg, Mg y con la altitud. El análisis de gradientes directos mostró, en el gradiente vertical (de norte a sur), un incremento de la capacidad de intercambio catiónico, Ca+Mg, Mg y K con la disminución de la altitud. El nitrógeno total, en el gradiente horizontal (de oeste a este), incrementó con la disminución de la altitud. Además, se identificaron tres grupos principales de comunidades usando el análisis de conglomerados de UPGMA, sin embargo, los grupos mostraron una relación débil con los resultados de la ordenación y con el espacio físico. A la escala de una hectárea, la composición de las especies y el área basal del bosque de pino-encino en Nueva Colonia pueden ser explicados por la partición de nicho en gradientes de altitud y de suelo. La relevancia del nitrógeno para esta comunidad podría resultar de la especialización de hábitat o del historial de disturbio.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[calcium]]></kwd>
<kwd lng="en"><![CDATA[magnesium]]></kwd>
<kwd lng="en"><![CDATA[environmental gradients]]></kwd>
<kwd lng="en"><![CDATA[habitat differentiation]]></kwd>
<kwd lng="en"><![CDATA[niche partitioning]]></kwd>
<kwd lng="es"><![CDATA[calcio]]></kwd>
<kwd lng="es"><![CDATA[magnesio]]></kwd>
<kwd lng="es"><![CDATA[gradientes ambientales]]></kwd>
<kwd lng="es"><![CDATA[diferenciación de hábitat]]></kwd>
<kwd lng="es"><![CDATA[partición de nicho]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ <p align="center"><font face="verdana" size="4"><b>Small&#150;scale environmental gradients in a pine&#150;oak forest community in Nueva Colonia, Mezquitic, Jalisco, Mexico </b></font></p>     <p align="center"><font face="verdana" size="2">&nbsp;</font></p>     <p align="center"><font face="verdana" size="3"><b>Gradientes ambientales a peque&ntilde;a escala de un bosque de pino&#150;encino en Nueva Colonia, Mezquitic, Jalisco, M&eacute;xico </b></font></p>     <p align="center"><font face="verdana" size="2">&nbsp;</font></p>     <p align="center"><font face="verdana" size="2"><b>Gregorio Nieves&#150;Hern&aacute;ndez<sup>1</sup>, J. Antonio V&aacute;zquez&#150;Garc&iacute;a<sup>1</sup>, Yalma L. Vargas&#150;Rodriguez<sup>2</sup>, Marcelino V&aacute;zquez&#150;Garc&iacute;a<sup>1</sup> and Jes&uacute;s Gonz&aacute;lez&#150;Gallegos<sup>1</sup></b></font></p>     <p align="center"><font face="verdana" size="2">&nbsp;</font></p>     <p align="justify"><font face="verdana" size="2"><i><sup>1</sup> Centro Universitario de Ciencias Biol&oacute;gicas y Agropecuarias, Universidad de Guadalajara, Km 15, carretera Guadalajara&#150;Nogales, Las Agujas, Zapopan, Jalisco, 45110, M&eacute;xico. </i>Correo electr&oacute;nico: <a href="mailto:jvazquez@cucba.udg.mx">jvazquez@cucba.udg.mx</a></font></p>     <p align="justify"><font face="verdana" size="2"><i><sup>2</sup> 107 Life Sciences Building, Department of Biological Sciences, Louisiana State University, Baton Rouge, Louisiana, 70803, USA.</i></font></p>     <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>     <p align="justify"><font face="verdana" size="2">Recibido: 6 febrero 2008    ]]></body>
<body><![CDATA[<br> Aceptado: 2 diciembre 2008</font></p>     <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>     <p align="justify"><font face="verdana" size="2"><b>Abstract</b></font></p>     <p align="justify"><font face="verdana" size="2">We explored environmental variables related to pine&#150;oak forest community structure at one locality in Jalisco, Mexico. We used an NMS ordination in conjunction with the S&oslash;rensen distance to identify the major small&#150;scale community gradients along 25 contiguous quadrats (25 m x 25 m, 400 m<sup>2 </sup>each) of pine&#150;oak forest in Nueva Colonia, Mezquitic, Jalisco, Mexico. The main matrix (25 stands x 7 tree species) included basal area data, and the environmental matrix consisted of 19 quantitative environmental variables. Community structure, through sociological ordination, showed a direct correlation with the vertical altitudinal gradient and apparent soil density, as well as with slope inclination across the horizontal gradient; it also showed an inverse correlation with cation exchange capacity, Ca + Mg, Mg, and altitude across the horizontal gradient. Direct gradient analyses showed an increase of cation exchange capacity, Ca+Mg, Mg and K with decreasing altitude along the vertical gradient (from north to south). Total nitrogen increased with decreasing altitude across the horizontal gradient (from west to east). In addition, we identified three main community groups using UPGMA cluster analysis; however, groups were weakly related to the ordination results and to the physical space. At the 1&#150;hectare scale, species composition and basal area of pine&#150;oak forest in Nueva Colonia can be explained by niche partitioning of altitude and soil gradients. The relevance of nitrogen for this community could be the result of habitat specialization or disturbance history.</font></p>     <p align="justify"><font face="verdana" size="2"><b>Key words: </b>calcium, magnesium, environmental gradients, habitat differentiation, niche partitioning.</font></p>     <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>     <p align="justify"><font face="verdana" size="2"><b>Resumen</b></font></p>     <p align="justify"><font face="verdana" size="2">Nosotros exploramos cu&aacute;les variables ambientales se relacionan con la estructura de comunidades de pino&#150;encino en Nueva Colonia, Mezquitic Jalisco, M&eacute;xico. A trav&eacute;s de una ordenaci&oacute;n NMS y usando la distancia S&oslash;rensen se identificaron en la escala peque&ntilde;a los principales gradientes de comunidades entre 25 parcelas contiguas (25 x 25 m, cada una de 400 m<sup>2</sup>) de bosque de pino&#150;encino. La matriz principal (25 rodales x 7 especies de &aacute;rboles) incluy&oacute; datos de &aacute;rea basal y la matriz ambiental consisti&oacute; de 19 variables ambientales cuantitativas. La estructura de la comunidad, mediante la ordenaci&oacute;n sociol&oacute;gica, mostr&oacute; una correlaci&oacute;n directa, sobre el gradiente vertical, con la altitud y con la densidad aparente del suelo; y, sobre el gradiente horizontal, con la inclinaci&oacute;n de la pendiente; tambi&eacute;n mostr&oacute; una correlaci&oacute;n inversa, sobre el gradiente horizontal, con la capacidad de intercambio cati&oacute;nico, Ca + Mg, Mg y con la altitud. El an&aacute;lisis de gradientes directos mostr&oacute;, en el gradiente vertical (de norte a sur), un incremento de la capacidad de intercambio cati&oacute;nico, Ca+Mg, Mg y K con la disminuci&oacute;n de la altitud. El nitr&oacute;geno total, en el gradiente horizontal (de oeste a este), increment&oacute; con la disminuci&oacute;n de la altitud. Adem&aacute;s, se identificaron tres grupos principales de comunidades usando el an&aacute;lisis de conglomerados de UPGMA, sin embargo, los grupos mostraron una relaci&oacute;n d&eacute;bil con los resultados de la ordenaci&oacute;n y con el espacio f&iacute;sico. A la escala de una hect&aacute;rea, la composici&oacute;n de las especies y el &aacute;rea basal del bosque de pino&#150;encino en Nueva Colonia pueden ser explicados por la partici&oacute;n de nicho en gradientes de altitud y de suelo. La relevancia del nitr&oacute;geno para esta comunidad podr&iacute;a resultar de la especializaci&oacute;n de h&aacute;bitat o del historial de disturbio.</font></p>     <p align="justify"><font face="verdana" size="2"><b>Palabras clave: </b>calcio, magnesio, gradientes ambientales, diferenciaci&oacute;n de h&aacute;bitat, partici&oacute;n de nicho.</font></p>     <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font face="verdana" size="2"><b>INTRODUCTION</b></font></p>     <p align="justify"><font face="verdana" size="2">Many studies of large&#150;scale plant community patterns have supported the individualistic hypothesis of plant community organization (Gleason, 1926) in both, temperate areas (Whittaker, 1956, 1960; Curtis and McIntosh, 1951; Peet, 1980) and subtropical to tropical areas (V&aacute;zquez&#150;Garc&iacute;a, 1995, 1998; Cuevas, 2002), some other authors document vegetational discontinuities (Beals, 1969; Kitayama, 1992). However, studies of small&#150;scale community patterns to assess whether or not the individualistic hypothesis is supported, have largely been neglected.</font></p>     <p align="justify"><font face="verdana" size="2">Understanding patterns of species distribution and abundance across landscapes have been central goals in Ecology. Ecological studies have focused on determining whether species specialize to partition environments or whether distributions are the result of stochastic processes (Brokaw and Busing, 2000; Hubbell, 2001). A number of mechanisms have been proposed to explain how diversity and abundance are regulated in tropical and temperate systems (Wills <i>et al., </i>1997; Wright, 2002). Niche differentiation among species, arising from resource partitioning across resource gradients, has been hypothesized to be a major mechanism maintaining tree diversity in both temperate and tropical forests. Many studies (Denslow, 1980; Kabakof and Chazdon, 1996; Chazdon <i>et al., </i>1999; Capers <i>et al., </i>2005; iarte and Chazdon, 2005; Gouvenain <i>et al., </i>2007) have focused only on light gradients as driving force or mechanism in resource partitioning among tree species, however, little or no attention has been given to other resources such as soil variables.</font></p>     <p align="justify"><font face="verdana" size="2">Climatic variables might determine plant community distribution at a landscape level. Latitude, longitude, precipitation, temperature, and moisture variables have an effect in plant composition and distribution (Rzedowski, 1978, Gentry, 1982). However, at small&#150;scale gradients (&lt; 200 m in altitude), topography is considered a more relevant variable that affects tree community spatial variation rather than it is altitude or any other climatic variable (Basnet, 1992; V&aacute;zquez&#150;Garc&iacute;a, 1995). Topography is also related to patterns in moisture regimes and soil chemical properties (Oliveira&#150;Filho <i>et al. </i>1999, 1994; Ratter, 1980; Bourgeron, 1983; Johnston, 1992). For instance, soil leaching patterns along an elevational gradient are affected by topography (Smith, 1990).</font></p>     <p align="justify"><font face="verdana" size="2">Soil characteristics and biotic interactions, at a small scale (within a hectare), might be more important determining plant community patterns (Fowler, 1981). The soil organic horizon is related to chemical composition, biological activity, fertility, and soil development. Soil nutrients distributions vary at a small&#150;scale, affecting plant development and species distributions. For instance, nitrogen availability commonly limits plant growth in forested ecosystems (Aber <i>et al., </i>1989). In upland forests, N mineralization rates have been related to tree species composition (Pastor <i>et al. </i>1982; <i>Zak et al., </i>1986; Garten <i>et al., </i>1994) and productivity (Pastor <i>et al., </i>1984; Liu and Muller, 1993).</font></p>     <p align="justify"><font face="verdana" size="2">Habitat specialization for soil resources in a tropical dry forest is likely to be more important at early stages in tree life histories than it is in later life history (Vargas&#150;Rodr&iacute;guez <i>et al., </i>2005). This fact is very relevant for understanding tree establishment and regeneration and could help guide land managers in implementing restoration policies. However, environmental variables explaining main small&#150;scale gradients in community composition of pine&#150;oak forests in northern Jalisco have not been explored yet. Tree community variation needs to be evaluated at a much larger scale, however community variation of early stages in tree life histories (e.g. saplings) may be studied at smaller scales. Here we use 25 quadrats (0.04 ha) within 1 ha plot to focus on tree communities patterns at early stages in life tree histories (woody species &gt; 2.5 cm in diam.) within a small area, with the advantage of low habitat and climatic heterogeneity.</font></p>     <p align="justify"><font face="verdana" size="2">In the present study, we aim to generate hypotheses, rather than to test them, about what environmental gradients are evident at a hectare plot and which environmental variables possibly explain small&#150;scale community gradients at early stages of tree life histories of a pine&#150;oak forest in Nueva Colonia, Mezquitic, Jalisco, Mexico.</font></p>     <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>     <p align="justify"><font face="verdana" size="2"><b>METHODS</b></font></p>     <p align="justify"><font face="verdana" size="2"><b>Study area</b></font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font face="verdana" size="2">The study area was located at 6 km northeast of Nueva Colonia, southeast of Mezquitic, Mezquitic municipality, Jalisco, Mexico. We located a hectare plot within the tributary watershed Los Coyotes, along an 1800&#150;2400 altitudinal gradient, at the southern portion of Sierra Madre Occidental (<a href="#f1">Fig. 1</a>). The climate at Nueva Colonia was temperate with cold and moist winters (V&aacute;zquez&#150;Garc&iacute;a <i>et al., </i>2004). Mean annual rainfall was 600 mm with the wet season from July to August. Relief ranged from 5&#150;20% slope, of southern aspect. Volcanic acidic extrusive rocks and igneous Toba rocks were prevalent in the area. Silt soils and ferric Luvisol soils were common in the area (INEGI 1970a, 1970b).</font></p>     <p align="center"><font face="verdana" size="2"><i><a name="f1"></a></i></font></p>     <p align="center"><font face="verdana" size="2"><img src="/img/revistas/polib/n27/a3f1.jpg"></font></p>     <p align="justify"><font face="verdana" size="2">Floristic checklists for the municipality included over 373 vascular plant species (V&aacute;zquez&#150;Garc&iacute;a <i>et al. </i>2004). The dominant vegetation was pine and pine&#150;oak forests. In accordance with vegetation class, the most common species in the area were <i>Pinus <i>oocarpa, P. devoniana, P. durangensis, P. duglasiana, Quercus castanea, Q. crassifolia, Q. splendens, Arbutus xalapensis, Befaria mexicana, Alnus jorullensis </i>and <i>Juniperus flacida </i>(V&aacute;zquez <i>et al., </i>1999; V&aacute;zquez and Vargas, 1999; V&aacute;zquez&#150;Garc&iacute;a <i>et al., </i>2004).</i></font></p>     <p align="center"><font face="verdana" size="2">&nbsp;</font></p>     <p align="justify"><font face="verdana" size="2"><b>Field sampling</b></font></p>     <p align="justify"><font face="verdana" size="2">We selected the least disturbed (forest stands with larger dbh) pineoak forest in Nueva Colonia through field reconnaissance. The huichol community has designated this forest as sacred and no logging is allowed in this area. The total area sampled was 1 hectare (100 m x 100 m). We divided the hectare in 25 quadrats, each one was 400 m<sup>2</sup>. The altitudinal variation within the hectare ranged from 2353 to 2367 m (14 m difference in elevation or 14% slope degree). To prevent confusion, we assigned a number to each quadrat, following a west&#150;east and north&#150;south order (first row A1&#150;A5, second row B1&#150;B5, and so on) (<a href="#f1">Fig. 1</a>). At each quadrat, we recorded plant species &gt; 2.5 cm DBH and collected a voucher of each species. The sampling was conducted during the summer of 2002 (late June&#150;early July). Species' identifications were determined by the authors. Nomenclature generally follows V&aacute;zquez&#150;Garc&iacute;a <i>et al. </i>(2004). Herbarium specimens were deposited at the The University of Guadalajara's herbarium (IBUG) (Holmgren <i>et al., </i>1990).</font></p>     <p align="justify"><font face="verdana" size="2">We collected a total of ten composite soil samples. Each of them represented five quadrats, either from a row within the elevational gradient or from a column along the elevational gradient. All of the samples were selected from one hectare's grid with twenty five 20 x 20 m. squares. The composite soil samples were obtained to increase soil representation in the area. Soil density, texture (sand, clay, silt), soil moisture, organic matter, cation exchange capacity (CEC), Mg, Ca, Ca+Mg, Na, K, pH, N, and P were analyzed (<a href="/img/revistas/polib/n27/a3t1.jpg" target="_blank">Table 1</a>). Nutrients were measured following Mehlich III's extraction method, P was extracted with the Olsen method, pH with a potentiometer, soil moisture with the gravimetric method, organic matter with Walkey&#150;Black's process, and texture with Bouyoucos' methods (AOAC International, 1990; APHA&#150;AWWA&#150;WPCF, 1992; Agricultural Experiment Stations, 1998). We recorded site conditions within the plot and determined position and altitude using a global positioning device (GPS 12 Garmin corporation) and aspect and slope using a compass and a clinometer, respectively. Rockiness was also noted visually as a percent of a quadrat covered and averaged for a row or a column of quadrats.</font></p>     <p align="justify"><font face="verdana" size="2">We measured the extent of natural and anthropogenic disturbances at each site. We assessed the degree of disturbance by recording the number of standing dead trees, fallen trees, woody stems, and tree stumps. Cattle grazing and fire evidence were also recorded (Olvera&#150;Vargas <i>et al., </i>1996). Average disturbance values were used to assign one of three disturbance classes (high, intermediate or low) for each column or row of quadrats.</font></p>     <p align="justify"><font face="verdana" size="2">We obtained species basal area for each of the 25 quadrats and summarized them in one matrix, containing seven tree species and 25 quadrats (<a href="#t2">Table 2</a>). The environmental variables were summarized in a matrix with 19 quantitative variables and 25 quadrats.</font></p>     ]]></body>
<body><![CDATA[<p align="center"><font face="verdana" size="2"><a name="t2"></a></font></p>     <p align="center"><font face="verdana" size="2"><img src="/img/revistas/polib/n27/a3t2.jpg"></font></p>     <p align="justify"><font face="verdana" size="2"><b>Environmental gradients</b></font></p>     <p align="justify"><font face="verdana" size="2">Using direct gradient analysis, we identified major environmental gradients and how they were related to altitude along the vertical gradient (from north to south) and to the horizontal gradient (from west to east), averaging data on variables for each row or column of quadrats.</font></p>     <p align="justify"><font face="verdana" size="2"><b>Sociological ordination</b></font></p>     <p align="justify"><font face="verdana" size="2">Matrices were analyzed using Global Non&#150;metric Multidimensional Scaling (NMS) ordination, available in PCORD v.4, a software that performs multivariate analyses for ecological data (McCune and Mefford 1999). NMS was performed following the method described by Kruskal (1964) and Mather (1976). NMS is an effective ordination method for ecological community data because it does not assume linear relationships among variables (Minchin, 1987). The method searches for the best position on n entities on k axes with the objective of minimizing the stress on the k&#150;dimensional configuration (Minchin, 1987; McCune and Grace, 2002).</font></p>     <p align="justify"><font face="verdana" size="2">A general procedure for NMS was used as suggested by McCune &amp; Grace (2002): a) data were adjusted, <i>Quercus castanea </i>occurred in less than 5% of sample units and was removed as a rare species; sample unit E2 was identified as a moderate outlier an thus removed; given the range of basal area values for each species, there was no need for their standardization; raw data were preferred over relativized ones for an appropriate representation of shifts in species structure (e.g. increases in basal area), b) a preliminary configuration with 100 runs was employed to asses how possible would the observed pattern be in the ordination if only a random process would be operating at the community configuration, this step suggested a three dimensional model; c) dimensionality of the data set was determined by plotting a scree plot, which shows stress as a function of dimensionality of the gradient model (<a href="#f2">Fig. 2</a>); d) three dimensions were specified; e) a plot of stress vs. iteration assisted in checking for stability; f) the final configuration included the S&oslash;rensen distance measure, 3 axes, number five was used as a seed for the random number generator, with no step down dimensionality, one real run, and no Monte Carlo test (no randomized runs).</font></p>     <p align="center"><font face="verdana" size="2"><a name="f2"></a></font></p>     <p align="center"><font face="verdana" size="2"><img src="/img/revistas/polib/n27/a3f2.jpg"></font></p>     <p align="justify"><font face="verdana" size="2">The S&oslash;rensen's distance measure was used, a robust measure for ecological distance (Beals, 1984; Faith <i>et al., </i>1987). The relationship between tree species and environmental variables was evaluated using Pearson correlations between the calculated ordination axes and the environmental variables. Only variables from the secondary matrix with an r<sup>2</sup> (with scores on either axis) larger than the cutoff value were plotted. The default cutoff is 0.2, but it was set to 0.3 to overlay few and relevant vectors.</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font face="verdana" size="2"><b>Classification</b></font></p>     <p align="justify"><font face="verdana" size="2">We classified the studied forest plots using the grouping algorithm of Unweighted Pair Group Average (UPGMA). We used UPGMA in connection with the S&oslash;rensen distance S:</font></p>     <p align="center"><font face="verdana" size="2">S = 1 &#150; 2w/(a+b)</font></p>     <p align="justify"><font face="verdana" size="2">where a and b are the numbers of species in each of two samples and w is the number of species the samples share. UPGMA is a hierarchical polythetic agglomerative technique that groups samples into classes and classes into a hierarchy, using information simultaneously from all samples. Each sample is assigned to a cluster on a hierarchy of increasingly inclusive clusters until all samples are part of one cluster. Opposed to related classification techniques, UPGMA's dissimilarities between clusters are equal to the average dissimilarity rather than equal to the maximum dissimilarity (Orl&oacute;ci, 1978). UPGMA maximizes the correlation between input and output compositional dissimilarities implied in the obtained dendrogram (Gauch 1982).</font></p>     <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>     <p align="justify"><font face="verdana" size="2"><b>RESULTS</b></font></p>     <p align="justify"><font face="verdana" size="2">A total of 326 individual trees were recorded in the studied area (1 ha, 25 plots). We found seven tree species: <i>Pinus devoniana, P. lumholtzii, P. oocarpa, Quercus obtusata, Q. eduardii, Q. castanea </i>and <i>Arbutus xalapensis. </i>The tree diversity index value was H' = 1.483. Oak species were the dominant elements in the forest. <i>Q. eduardii </i>had the highest basal area (<a href="#t2">Table 2</a>). <i>Q. obtusata, Q. eduardii, </i>and <i>P. devoniana </i>had the highest importance values (32%, 24%, and 22% respectively). Total basal area in the plot was 24 m<sup>2</sup> ha (<a href="#t2">Table 2</a>). Limited anthropogenic disturbance occurs in the study area by restricting visitors to the sacred forested area. We were told that the last wood selective extraction occurred about 30 years ago. Four percent of trees had fire scares. Evidence of past forest fires is attributable to lightening (local inhabitants, pers. comm.). There was no evidence of cattle grazing or insect predation, at least on tree saplings or adults.</font></p>     <p align="justify"><font face="verdana" size="2"><b>Environmental ordination</b></font></p>     <p align="justify"><font face="verdana" size="2">Regression analysis showed that CEC, Ca + Mg, Mg and K increased with decreasing elevation, which represents an increase of nutrients from north to south (<a href="/img/revistas/polib/n27/a3f3.jpg" target="_blank">Fig. 3</a>). Percent of total&#150;nitrogen increased from west to east within elevation (<a href="/img/revistas/polib/n27/a3f4.jpg" target="_blank">Fig. 4</a>).</font></p>     <p align="justify"><font face="verdana" size="2"><b>Sociological ordination</b></font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font face="verdana" size="2">The scree plot (<a href="#f2">Fig. 2</a>) and the Monte Carlo test recommended a three dimensional solution. The proportion of randomized runs with stress less than or equal to the observed stress was 0.0495. The final stress for a three&#150;dimensional solution of the NMS ordination was 9.718. Axes accounted for a reduction in stress of 0.0001 and instability of 0.06427 with 100 iterations. Most of the stress was reduced after 20 iterations. Axes 1 and 2 were not explained by any of the measured environmental variables. However, axis 3 was directly related to altitude along the vertical gradient, apparent density and the slope of the horizontal gradient (<a href="/img/revistas/polib/n27/a3f5.jpg" target="_blank">Fig. 5a</a>); and inversely related to CEC, Mg, Ca + Mg, and altitude along the horizontal gradient (<a href="/img/revistas/polib/n27/a3f5.jpg" target="_blank">Fig. 5a</a>). In relation to species patterns, axis 1 was directly related to basal area <i>of Pinus oocarpa </i>and inversely related to basal area <i>of P. devoniana </i>(<a href="/img/revistas/polib/n27/a3f6.jpg" target="_blank">Fig. 5b</a>); axis 2 was directly related to basal area of <i>Quercus obtusata </i>(<a href="/img/revistas/polib/n27/a3f7.jpg" target="_blank">Fig. 5c</a>); axis 3 was inversely related to basal area of <i>Q. eduardii </i>(<a href="/img/revistas/polib/n27/a3f8.jpg" target="_blank">Fig. 5d</a>). Environmental variables explaining major community gradients in the sociological ordination were largely consistent with those identified through direct gradient analyses.</font></p>     <p align="justify"><font face="verdana" size="2"><b>Classification</b></font></p>     <p align="justify"><font face="verdana" size="2">UPGMA recognized three groups containing 25% of the remaining information. A heterogeneous group is composed by A1, B1, B2, C3 y C4 quadrats, which are spatially correlated. A second heterogeneous group contains B3, C1, D1 and E2, which are spatially separated. The third group containing 16 quadrats was the largest, it was less heterogeneous, and spatially separated (<a href="/img/revistas/polib/n27/a3f9.jpg" target="_blank">Fig. 6</a>). Classification results did not reproduced physical location of quadrats, and were weakly related to ordination results.</font></p>     <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>     <p align="justify"><font face="verdana" size="2"><b>DISCUSSION</b></font></p>     <p align="justify"><font face="verdana" size="2">Community structure of pine&#150;oak forest in Nueva Colonia may be explained by habitat specialization to altitude and soil gradients. Consistently, establishment of pine species has been related to soil and topographic conditions (Park 2001). In addition, species interactions allow differences in species dominance in the community, for instance, <i>Pinus devoniana </i>and <i>P. oocarpa </i>dominated different ends of axis 1; <i>Quercus obtusata </i>dominated axis 2; and <i>Q. eduardii </i>dominated axis 3. Differences in dominance along these axes was explained by CEC and by soil nutrients (Ca + Mg, Mg). Community patterns at the Sierra Huichola support the individualistic hypothesis of plant community organization, with no evidence for vegetational discontinuities.</font></p>     <p align="justify"><font face="verdana" size="2">The fact that five from seven species have an aggregated distribution pattern indicates habitat specialization or spatial autocorrelation (Harms <i>et al., </i>2001). A correlation analysis with ecological equivalence among quadrants could help to explain species habitat preferences. A third of these species have random distribution, supporting the neutral theory, in which species are habitat independent.</font></p>     <p align="justify"><font face="verdana" size="2">There is a soil&#150;species relationship in pine&#150;oak forest at Nueva Colonia. Soil nutrients and soil moisture appear correlated with temperate tree species distributions (Cowell 1993). Other factors such as topography and moisture conditions might be important structuring forest composition, however, the role of nutrients and disturbance are primary forces controlling vegetation patterns in temperate forests (Peet and Christensen, 1980; Cowell, 1993; Park, 2001; Cavender&#150;Bares <i>et al.</i>, 2004). Variation in exchangeable magnesium, calcium, and potassium allow differences in growth and mortality rates of oaks and pine species, resulting in different patterns of species distributions (Breemen <i>et al.</i>, 1997; Arii and Lechowicz, 2002; Bigelow and Canham 2002; Dijkstra and Smits, 2002; Horsley <i>et al., </i>2002). Soil nutrients can change on small scale across topography gradients, thus producing gradients in soil fertility and affecting species dominance (Bailey <i>et al.</i>, 2004). At a 1 hectare scale, species maintenance and basal area of oak and pine in Nueva Colonia can be explained by niche partitioning of soil gradients. This competitive interaction for soil resources is a key mechanism structuring the community (Muscolo <i>et al., </i>2007). Consistently, 17 oak species in Florida show clear patterns of specialization along soil moisture and nutrient gradients and show a pattern of habitat differentiation (Cavender&#150;Bares et al., 2004).</font></p>     <p align="justify"><font face="verdana" size="2">Habitat heterogeneity can be observed at a small scale, as showed in classification. Spatially contiguous sites with low climatic and topographic heterogeneity have small scale differences and have an effect in soil nutrients distribution (Muscolo <i>et al. </i>2007). The increase in bases at lower elevations might be related to a leaching process. Constant soil leaching has a pronounced effect on Ca and Mg availability (Schier and McQueattie, 2000). Soil leaching occurring in Nueva Colonia resembles the cascade effect (low nutrients at higher elevations increasing at lower) observed in mountains of Sierra de Manantl&aacute;n (V&aacute;zquez and Givnish, 1998; Ortiz&#150;Arrona, 1999). The nitrogen relevance for this community might be the result of disturbance regime stage or habitat specialization. N availability is strongly correlated with vegetation patterns, linking below&#150;ground processes and above&#150;ground biodiversity (Hutchinson <i>et al.</i>, 1999). Therefore, species are specialized and distributed in microsites with different nitrogen and other nutrients availability.</font></p>     <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font face="verdana" size="2"><b>ACKNOWLEDGMENTS</b></font></p>     <p align="justify"><font face="verdana" size="2">The Centro de Ingenier&iacute;a Ambiental, Unidad de Apoyo a Comunidades Ind&iacute;genas, both from University of Guadalajara; SIMORE&#150;LOS&#150;CONACYT&#150;1996, through Ordenamiento Ecol&oacute;gico Territorial de Jalisco; and Instituto Nacional Indigenista (SEDESOL) provided financial support for this research. Miguel de J. Ch&aacute;zaro B., Ram&oacute;n Cuevas </font><font face="verdana" size="2">G., Mollie Harker, Jacqueline Reynoso D., Roberto Gonz&aacute;lez T. and Mar&iacute;a Eugenia Barba R. helped with species identification. Rafael L&oacute;pez de la Torre, wirrarika, kindly helped to locate forest sites and gave us logistic support. Luzmila Herrera P&eacute;rez, Justo Murgu&iacute;a Castillo, Mar&iacute;a Eugenia Barba Robert, and Magdalena Alc&aacute;zar Garc&iacute;a collected voucher plant specimens and assisted during field work. We thank Susana and Diana Parker for proofreading the English. Special thanks to anonimous reviewers of Polibot&aacute;nica and to Ram&oacute;n Cuevas, from the Manantl&aacute;n Institute, Universidad de Guadalajara, for their valuable suggestions.</font></p>     <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>     <p align="justify"><font face="verdana" size="2"><b>LITERATURE CITED</b></font></p>     <!-- ref --><p align="justify"><font face="verdana" size="2">Aber, J.D., K.J. Nadelhoffer, P.Steudler &amp; J. M. Melillo, 1989. "Nitrogen saturation in northern forest ecosystems". <i>Bioscience, </i><b>39</b>: 378&#150;386.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=6062362&pid=S1405-2768200900010000300001&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <!-- ref --><p align="justify"><font face="verdana" size="2">Agricultural Experiment Stations, 1998. "Recommended chemical soil test procedures". <i>North Central Regional Research Publications </i>221, Missouri Agricultural Experiment Station, Columbia, Missouri.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=6062364&pid=S1405-2768200900010000300002&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <!-- ref --><p align="justify"><font face="verdana" size="2">Allendorf, F.W. &amp; N. Ryman, 2002. "The role of genetics in population viability analysis". In: Beissinger, S.R. &amp; McCullough, D.R. (eds.) <i>Population viability analysis, </i>pp. 50&#150;85. University of Chicago Press, Chicago, Illinois.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=6062366&pid=S1405-2768200900010000300003&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     ]]></body>
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