<?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>2007-1132</journal-id>
<journal-title><![CDATA[Revista mexicana de ciencias forestales]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. mex. de cienc. forestales]]></abbrev-journal-title>
<issn>2007-1132</issn>
<publisher>
<publisher-name><![CDATA[Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2007-11322018000600274</article-id>
<article-id pub-id-type="doi">10.29298/rmcf.v9i50.226</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Predicción de biomasa radicular en especies de pastizales semiáridos en el sur del Desierto Chihuahuense]]></article-title>
<article-title xml:lang="en"><![CDATA[Predicting root biomass for semiarid grassland species of the southern Chihuahuan Desert]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Hernández Gómez]]></surname>
<given-names><![CDATA[Miguel Á.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pando Moreno]]></surname>
<given-names><![CDATA[Marisela]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Mata González]]></surname>
<given-names><![CDATA[Ricardo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[González-Rodríguez]]></surname>
<given-names><![CDATA[Humberto]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Chacón Hernández]]></surname>
<given-names><![CDATA[Julio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Gutiérrez]]></surname>
<given-names><![CDATA[Maritza]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Autónoma de Nuevo León Facultad de Ciencias Forestales ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Autónoma de Tamaulipas Instituto de Ecología Aplicada ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Oregon State University Department of Animal and Rangeland Sciences ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>USA</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2018</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2018</year>
</pub-date>
<volume>9</volume>
<numero>50</numero>
<fpage>274</fpage>
<lpage>293</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-11322018000600274&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-11322018000600274&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-11322018000600274&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen: La mayor parte del carbono en los pastizales proviene de la biomasa subterránea, particularmente en pastizales áridos. A pesar de ello, la estimación de la biomasa radicular en esos ecosistemas ha sido poco abordada. En el presente estudio se analizó la correlación entre variables aéreas de la planta y su biomasa radicular para desarrollar modelos estadísticos que permitan la estimación confiable de esta última. Se recolectaron 26 especies vegetales dentro de pastizales sin pastoreo. Se diseñaron modelos de regresión lineal, exponencial y logarítmica para cada taxon y para todos en su conjunto con el fin de determinar las variables que mejor predijeran la biomasa radicular. Solo Frankenia gypsophila y Dalea gypsophila mostraron relación raíz/tallo (RBR) &gt;1. Enneapogon desvauxii y Atriplex acantocarpha tuvieron una RBR cercana a 1. Ocho especies mostraron significancia estadística en al menos un análisis de correlación, pero solo Tiquilia canescens, Bouteloua gracilis, Machaerantera pinnatifida, Lesquerella fendleri, y Atriplex acanthocarpa registraron tanto significancia estadística como un coeficiente de determinación r2 &#8805;0.50. Mediante el método Marquardt en la regresión exponencial, 14 de las 15 especies de interés alcanzaron coeficiente de determinación alto y significancia estadística; este método fue el adecuado (r2=0.853) para estimar la biomasa radicular de las especies analizadas en su conjunto, a partir de la altura de la planta y el diámetro de la copa.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: Most of carbon in grasslands comes from underground biomass, particularly in arid grassland ecosystems. However, estimation of root biomass in these ecosystems has been poorly studied. In this study was analyzed the correlation between above ground plant variables and root biomass to develop statistical models for reliable root biomass estimations. Twenty-six plant species were collected within grazing-excluded grasslands. Linear, exponential and logarithmic regression models were performed for each species and for the whole data set to determine the variables that best predicted root biomass. Only Frankenia gypsophila and Dalea gypsophila showed root/shoot ratio (RSR) higher than one. Enneapogon desvauxii and Atriplex acantocarpha had a RSR close to one. Eight species showed statistical significance in at least one of the correlation analyses but only Tiquilia canescens, Bouteloua gracilis, Machaerantera pinnatifida, Lesquerella fendleri, and Atriplex acanthocarpa had both statistical significance and acceptable coefficient of determination (r2 &#8805;0.50). Using the Marquardt exponential method, 14 out of 15 studied species showed a high determination coefficient and statistical significance. This method was adequate (r2=0.853) to estimate root biomass for the whole set of plants from plant height and crown diameter.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Biomasa vegetal]]></kwd>
<kwd lng="es"><![CDATA[ecosistemas áridos]]></kwd>
<kwd lng="es"><![CDATA[ecuaciones alométricas]]></kwd>
<kwd lng="es"><![CDATA[método Marquardt]]></kwd>
<kwd lng="es"><![CDATA[modelo de regresión]]></kwd>
<kwd lng="es"><![CDATA[noreste de México]]></kwd>
<kwd lng="en"><![CDATA[Plant biomass]]></kwd>
<kwd lng="en"><![CDATA[arid ecosystems]]></kwd>
<kwd lng="en"><![CDATA[allometric equations]]></kwd>
<kwd lng="en"><![CDATA[Marquardt method]]></kwd>
<kwd lng="en"><![CDATA[regression model]]></kwd>
<kwd lng="en"><![CDATA[northeastern Mexico]]></kwd>
</kwd-group>
</article-meta>
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