<?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>0120-0739</journal-id>
<journal-title><![CDATA[Colombia Forestal]]></journal-title>
<abbrev-journal-title><![CDATA[Colomb. for.]]></abbrev-journal-title>
<issn>0120-0739</issn>
<publisher>
<publisher-name><![CDATA[Proyecto Curricular de Ingeniería Forestal, Facultad del Medio Ambiente y Recursos Naturales, Universidad Distrital Francisco José de Caldas.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0120-07392024000100203</article-id>
<article-id pub-id-type="doi">10.14483/2256201x.20569</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Modelos de altura dominante para Gmelina arborea Roxb. en Colombia]]></article-title>
<article-title xml:lang="en"><![CDATA[Dominant Height Models for Gmelina arborea Roxb. in Colombia]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Collazos Avendaño]]></surname>
<given-names><![CDATA[Julio Cesar]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Barrios Trilleras]]></surname>
<given-names><![CDATA[Alonso]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Diaz Sierra]]></surname>
<given-names><![CDATA[Daniel Ronaldo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad del Tolima  ]]></institution>
<addr-line><![CDATA[Ibagué ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad del Tolima  ]]></institution>
<addr-line><![CDATA[Ibagué ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad del Tolima  ]]></institution>
<addr-line><![CDATA[Ibagué ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2024</year>
</pub-date>
<volume>27</volume>
<numero>1</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0120-07392024000100203&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0120-07392024000100203&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0120-07392024000100203&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El concepto de productividad forestal es biológicamente complejo. En masas forestales, se estima indirectamente mediante modelos de crecimiento en altura dominante e índice de sitio. El objetivo de este estudio fue desarrollar un modelo de altura dominante para Gmelina arborea con datos provenientes de 129 parcelas de monitoreo. Se generaron 9 ecuaciones dinámicas de altura dominante a partir de los modelos teóricos de Hossfeld y Bertalanffy-Richards, ajustadas individualmente y sujetas a validación cruzada. De los modelos evaluados, sobresalió el modelo polimórfico de Bertalanffy-Richards (parámetro c). Este modelo presentó una tendencia biológica realista, con curvas polimórficas y una única asíntota. El modelo seleccionado es una herramienta importante para el manejo de plantaciones forestales de G. arborea en zonas que presenten características de sitio semejantes a las de este estudio.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The concept of forest productivity is biologically complex. In forest masses, it is indirectly estimated via dominant height growth models and site indices. The aim of this study was to develop a dominant height model for Gmelina arborea using data from 129 monitoring plots. 9 dynamic equations were generated from the Hossfeld and Bertalanffy-Richards theoretical models, which were individually fitted and cross-validated. Among the evaluated models, the Bertalanffy-Richards model (parameter c) stood out. This model showed a logical biological trend, with polymorphic curves and a unique asymptote. The selected model is an important tool for the management of G. arborea forest plantations in areas with site characteristics similar to those of this study.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[curvas de índice de sitio]]></kwd>
<kwd lng="es"><![CDATA[ecuaciones dinámicas]]></kwd>
<kwd lng="es"><![CDATA[polimorfismo]]></kwd>
<kwd lng="es"><![CDATA[productividad forestal]]></kwd>
<kwd lng="es"><![CDATA[validación cruzada]]></kwd>
<kwd lng="en"><![CDATA[site index curves]]></kwd>
<kwd lng="en"><![CDATA[dynamic equations]]></kwd>
<kwd lng="en"><![CDATA[polymorphism]]></kwd>
<kwd lng="en"><![CDATA[forest productivity]]></kwd>
<kwd lng="en"><![CDATA[cross-validation]]></kwd>
</kwd-group>
</article-meta>
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