<?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>S2007-11322022000500075</article-id>
<article-id pub-id-type="doi">10.29298/rmcf.v13i73.1187</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Modelación de las estructuras diamétricas en bosques naturales de Pueblo Nuevo, Durango]]></article-title>
<article-title xml:lang="en"><![CDATA[Modelling diameter distribution of natural forests in Pueblo Nuevo, Durango State]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Vega]]></surname>
<given-names><![CDATA[Alondra Anahi]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Corral Rivas]]></surname>
<given-names><![CDATA[Sacramento]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Corral Rivas]]></surname>
<given-names><![CDATA[José Javier]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Diéguez Aranda]]></surname>
<given-names><![CDATA[Ulises]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto Tecnológico de El Salto  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Juárez del Estado de Durango Facultad de Ciencias Forestales ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>México</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad de Santiago de Compostela Departamento de Ingeniería Agroforestal Escuela Politécnica Superior de Lugo]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Spain</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>10</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>10</month>
<year>2022</year>
</pub-date>
<volume>13</volume>
<numero>73</numero>
<fpage>75</fpage>
<lpage>101</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-11322022000500075&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-11322022000500075&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-11322022000500075&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Las distribuciones diamétricas son un factor importante en la caracterización del rodal, ya que el diámetro, generalmente, está correlacionado con otras variables de interés como la altura, volumen, biomasa, etcétera, esto permite conocer el tipo de productos que pueden obtenerse del bosque. El objetivo de la presente investigación fue desarrollar una estrategia para ajustar las FDP Weibull, Beta y S  B Johnson, así como reconstruir (modelación) la distribución diamétrica futura con el método de recuperación de parámetros. En una primera etapa, se estudió comparativamente la calidad de ajuste de tres funciones de distribución de probabilidad (FDP: Weibull, S  B Johnson y Beta) mediante los métodos de momentos y máxima verosimilitud para recuperar los parámetros y describir la distribución diamétrica de 2 252 parcelas temporales de muestreo ubicadas en bosques naturales de Pueblo Nuevo, Durango, México. En general, los mejores resultados en términos de precisión y parsimonia en la etapa de ajuste, evaluados mediante el sesgo medio y la Raíz del Error Medio Cuadrático, se obtuvieron con la FDP Weibull ajustada con el método de los momentos; mientras que las distribuciones S  B Johnson y Beta se ubicaron en segundo y tercer lugar, respectivamente. Por tanto, la FDP Weibull biparamétrica fue seleccionada para modelar las distribuciones diamétricas de los rodales estudiados. La técnica de la recuperación de parámetros evidenció que 62 % de las parcelas modeladas siguen una distribución teórica tipo Weibull con 20 % de nivel de significancia en la prueba de Kolmogorov-Smirnov.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Diameter distributions are an important factor in stand characterization because the diameter is generally correlated with other variables such height, volume, and biomass, and this makes it possible to know what kind products can be harvested from forests. The objective of this research was to develop a strategy to fit the Weibull, Beta and SB Johnson PDFs and reconstruct (modeling) the future diameter distribution with the parameter recovery method. In the first phase, the goodness-of-fit of three probability distribution functions, or PDFs, (Weibull, Johnson&#8217;s SB, and Beta) was evaluated using the moments and the maximum likelihood methods to estimate the distribution parameters of 2 252 temporary sampling plots distributed in natural forests in Pueblo Nuevo, Durango, Mexico. In general, the best results in terms of accuracy and parsimony during the model fitting evaluated with the average bias and the root mean square error were obtained with Weibull&#8217;s PDF, fitted with the moments method was the best, while Johnson&#8217;s SB and Beta were ranked in second and third position, respectively. Therefore, the two-parameter Weibull&#8217;s PDF was selected to describe the diameter distributions of the studied forest stands. The parameter recovery method suggested that 62 % of evaluated sampling plots followed a Weibull distribution with a significance level of 20 % in the Kolmogorov-Smirnov test.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Distribución diamétrica]]></kwd>
<kwd lng="es"><![CDATA[función Weibull biparamétrica]]></kwd>
<kwd lng="es"><![CDATA[masas mixtas]]></kwd>
<kwd lng="es"><![CDATA[método de momentos]]></kwd>
<kwd lng="es"><![CDATA[recuperación de parámetros]]></kwd>
<kwd lng="es"><![CDATA[sitios de muestreo]]></kwd>
<kwd lng="en"><![CDATA[Diametric distribution]]></kwd>
<kwd lng="en"><![CDATA[two-parameter Weibull function]]></kwd>
<kwd lng="en"><![CDATA[mixed stands]]></kwd>
<kwd lng="en"><![CDATA[moments method]]></kwd>
<kwd lng="en"><![CDATA[parameter recovery]]></kwd>
<kwd lng="en"><![CDATA[sampling plots]]></kwd>
</kwd-group>
</article-meta>
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