<?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>2007-4018</journal-id>
<journal-title><![CDATA[Revista Chapingo serie ciencias forestales y del ambiente]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. Chapingo ser. cienc. for. ambient]]></abbrev-journal-title>
<issn>2007-4018</issn>
<publisher>
<publisher-name><![CDATA[Universidad Autónoma Chapingo, Coordinación de Revistas Institucionales]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2007-40182019000100141</article-id>
<article-id pub-id-type="doi">10.5154/r.rchscfa.2018.06.047</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Global-local and fixed-random parameters to model dominant height growth of Pinus pseudostrobus Lindley]]></article-title>
<article-title xml:lang="es"><![CDATA[Parámetros globales-locales y fijos-aleatorios para modelar el crecimiento en altura dominante de Pinus pseudostrobus Lindley]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[García-Espinoza]]></surname>
<given-names><![CDATA[Guadalupe G.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Aguirre-Calderón]]></surname>
<given-names><![CDATA[Oscar A.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Quiñonez-Barraza]]></surname>
<given-names><![CDATA[Gerónimo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Alanís-Rodríguez]]></surname>
<given-names><![CDATA[Eduardo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[González-Tagle]]></surname>
<given-names><![CDATA[Marco A.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[García-Magaña]]></surname>
<given-names><![CDATA[J. Jesús]]></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[Linares Nuevo León]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias Centro de Investigación Regional Norte Centro ]]></institution>
<addr-line><![CDATA[Durango Durango]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Michoacana de San Nicolás de Hidalgo Facultad de Agrobiología &#8220;Presidente Juárez&#8221; ]]></institution>
<addr-line><![CDATA[Uruapan Michoacán]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>04</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>04</month>
<year>2019</year>
</pub-date>
<volume>25</volume>
<numero>1</numero>
<fpage>141</fpage>
<lpage>156</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-40182019000100141&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-40182019000100141&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-40182019000100141&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract  Introduction:  Dominant height and site index (SI) models consider average parameters for a sample or population. The dummy variable (DV) modeling approach generates global and local parameters, while mixed-effects models (MEM) generate fixed and random ones for each tree or plot.  Objective: To fit and compare dynamic dominant height equations with the DV and MEM approaches for Pinus pseudostrobus Lindley in commercial forest plantations in Nuevo San Juan Parangaricutiro, Michoacan, Mexico.  Materials and methods:  Three algebraic difference approach (ADA) equations and one generalized algebraic difference approach (GADA) equation, based on the Chapman-Richards model, were fitted with the SI parameter associated as local or random for each tree. The database used considered stem analysis of 41 trees.  Results and discussion:  The accuracy of the fitted equations with DV and MEM was similar, according to the fitting statistics and the trajectories of the SI curves at the base age of 20 years. In the ADA equations, the polymorphic curve showed greater statistical efficiency with both approaches when the growth rate parameter depended on the SI. However, the GADA equation generated curves that better described the growth pattern; the highest accuracy was obtained with the DV approach.  Conclusions: The use of the GADA equation with DV is an accurate tool for classifying the productivity of commercial forest plantations, which will allow forest management planning based on site quality.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen  Introducción:  Los modelos de altura dominante e índice de sitio (IS) consideran parámetros promedio para una muestra o población. El enfoque de modelación de variables indicadoras (VI) genera parámetros globales y locales, mientras que los modelos de efectos mixtos (MEM) generan fijos y aleatorios para cada árbol o parcela.  Objetivo: Ajustar y comparar ecuaciones dinámicas de altura dominante con los enfoques de VI y MEM para Pinus pseudostrobus Lindley en plantaciones forestales comerciales de Nuevo San Juan Parangaricutiro, Michoacán, México.  Materiales y métodos:  Tres ecuaciones en diferencias algebraicas (ADA) y una generalizada (GADA), basadas en el modelo de Chapman-Richards, se ajustaron con el parámetro de IS asociado como local o aleatorio para cada árbol. La base de datos utilizada consideró análisis troncales de 41 árboles.  Resultados y discusión:  La precisión de las ecuaciones ajustadas con VI y MEM fue similar, de acuerdo con los estadísticos de ajuste y las trayectorias de las curvas de IS a la edad base de 20 años. En las ecuaciones ADA, la curva polimórfica presentó eficiencia estadística superior con los dos enfoques, cuando el parámetro de la tasa de crecimiento dependió del IS. No obstante, la ecuación GADA generó curvas que describieron mejor el patrón de crecimiento; la precisión mayor se obtuvo con el enfoque de VI.  Conclusiones: El uso de la ecuación GADA con VI es una herramienta precisa para clasificar la productividad de las plantaciones forestales comerciales, lo cual permitirá la planeación del manejo forestal por calidad de estación.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Site quality]]></kwd>
<kwd lng="en"><![CDATA[dynamic equations]]></kwd>
<kwd lng="en"><![CDATA[mixed effects]]></kwd>
<kwd lng="en"><![CDATA[site index]]></kwd>
<kwd lng="en"><![CDATA[dummy variable]]></kwd>
<kwd lng="es"><![CDATA[Calidad de estación]]></kwd>
<kwd lng="es"><![CDATA[ecuaciones dinámicas]]></kwd>
<kwd lng="es"><![CDATA[efectos mixtos]]></kwd>
<kwd lng="es"><![CDATA[índice de sitio]]></kwd>
<kwd lng="es"><![CDATA[variables indicadoras]]></kwd>
</kwd-group>
</article-meta>
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