<?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>1405-0471</journal-id>
<journal-title><![CDATA[Madera y bosques]]></journal-title>
<abbrev-journal-title><![CDATA[Madera bosques]]></abbrev-journal-title>
<issn>1405-0471</issn>
<publisher>
<publisher-name><![CDATA[Instituto de Ecología A.C.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-04712019000100204</article-id>
<article-id pub-id-type="doi">10.21829/myb.2019.2511657</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Distribución potencial y abundancia de candelilla (Euphorbia antisyphilitica) en el norte de Zacatecas, México]]></article-title>
<article-title xml:lang="en"><![CDATA[Potential distribution and abundance of candelilla (Euphorbia antisyphilitica) in northern Zacatecas, Mexico]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Bañuelos-Revilla]]></surname>
<given-names><![CDATA[José Enrique]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Palacio-Núñez]]></surname>
<given-names><![CDATA[Jorge]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Martínez-Montoya]]></surname>
<given-names><![CDATA[Juan Felipe]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Olmos-Oropeza]]></surname>
<given-names><![CDATA[Genaro]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Flores-Cano]]></surname>
<given-names><![CDATA[Jorge Alberto]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Colegio de Postgraduados Postgrado de Innovación en Manejo de Recursos Naturales ]]></institution>
<addr-line><![CDATA[Salinas de Hidalgo San Luis Potosí]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Autónoma de San Luis Potosí Facultad de Agronomía y Veterinaria ]]></institution>
<addr-line><![CDATA[Soledad de Graciano Sánchez San Luis Potosí]]></addr-line>
<country>México</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2019</year>
</pub-date>
<volume>25</volume>
<numero>1</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-04712019000100204&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-04712019000100204&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-04712019000100204&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen En las zonas áridas de México habita la candelilla (Euphorbia antisyphilitica), especie con importancia social y económica, pero cuya disponibilidad no está bien definida. El objetivo de este trabajo fue estimar su distribución potencial y abundancia en el norte del estado de Zacatecas. Para la distribución potencial se realizó un modelado mediante el algoritmo MaxEnt®, donde se usaron 18 registros de presencia: 8 históricos y 10 propios, así como 27 variables predictivas. Se cotejó en campo la presencia mediante 29 puntos aleatorios en el área con distribución potencial y otros 19 fuera de ella. La densidad poblacional se estimó mediante parcelas, se midió la talla de los ejemplares y se consideraron las variables: tipo de vegetación y de suelo, altitud y pendiente del terreno y se realizó la prueba de Kruskal-Wallis. El modelo presentó buena predicción (AUC = 0.920), donde 11 variables contribuyeron con 82.1% en la distribución potencial y las más importantes fueron: tipo de vegetación, exposición, pendiente, altitud y cobertura vegetal. La distribución potencial se encontró en 19.2% del total del área de estudio; la densidad poblacional fue de 295 767.3 individuos por kilómetro cuadrado, influida significativamente por el tipo de vegetación y altitud. La talla de las plantas fue significativamente menor en pendiente escarpada. En 37.9% de los puntos de validación con distribución potencial hubo resultados positivos de presencia de la especie, sin embargo, en 10.5% fuera del área de distribución potencial también apareció. Se concluye que mediante la utilización del algoritmo MaxEnt® se puede modelar la distribución potencial de plantas silvestres, como la candelilla; la distribución potencial fue discontinua y menor a 20%.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The candelilla (Euphorbia antisyphilitica) grows in arid regions of Mexico, having social and economic importance, although its availability is not clearly defined. The objective of the study was to estimate their potential distribution and abundance in the north of Zacatecas state. A potential distribution modeling was performed through MaxEnt® using 18 data of presence, 8 historical and 10 current, and 27 predictive variables. The presence was corroborated in the field by means of 29 random points within the area of potential distribution, and 19 others outside it. The population density was estimated with plots, measuring the size of the individuals, and considering the following variables: vegetation and soil type, altitude, and slope. A Kruskal-Wallis test was used. The model generated an accurate prediction (AUC = 0.920), in which 11 variables contributed with 82.1% to the potential distribution, the most important being: vegetation type, exposure, slope, altitude, and vegetation cover. The potential distribution area was 19.2% of the total study area, with a population density of 295 767.3 individuals per square kilometer. This was significantly influenced by the vegetation type and altitude, while the slope affected the plant height. There were positive presence results in 37.9% of the validation sites with potential distribution in the study area, plus 10.5% outside of the potential distribution area. It is concluded that by using the MaxEnt® algorithm the potential distribution of wild plants, such as candelilla, can be modeled; the potential distribution was discontinuous and less than 20%.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[densidad poblacional]]></kwd>
<kwd lng="es"><![CDATA[MaxEnt®]]></kwd>
<kwd lng="es"><![CDATA[recursos naturales]]></kwd>
<kwd lng="es"><![CDATA[usos industriales]]></kwd>
<kwd lng="es"><![CDATA[variables ambientales]]></kwd>
<kwd lng="es"><![CDATA[zonas áridas y semiáridas]]></kwd>
<kwd lng="en"><![CDATA[population density]]></kwd>
<kwd lng="en"><![CDATA[MaxEnt®]]></kwd>
<kwd lng="en"><![CDATA[natural resources]]></kwd>
<kwd lng="en"><![CDATA[industrial uses]]></kwd>
<kwd lng="en"><![CDATA[environmental variables]]></kwd>
<kwd lng="en"><![CDATA[arid and semi-arid zones]]></kwd>
</kwd-group>
</article-meta>
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<surname><![CDATA[Glor]]></surname>
<given-names><![CDATA[R. E.]]></given-names>
</name>
<name>
<surname><![CDATA[Turelli]]></surname>
<given-names><![CDATA[M.]]></given-names>
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</person-group>
<article-title xml:lang=""><![CDATA[ENMTools: a toolbox for comparative studies of environmental niche models]]></article-title>
<source><![CDATA[Ecography]]></source>
<year>2010</year>
<volume>33</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>607-11</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
