<?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>S2007-11322022000500128</article-id>
<article-id pub-id-type="doi">10.29298/rmcf.v13i73.1188</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Modelos predictivos de producción de resina en Pinus pseudostrobus Lindl., en Michoacán, México]]></article-title>
<article-title xml:lang="en"><![CDATA[Predictive models of resin production in Pinus pseudostrobus Lindl., in Michoacán State, Mexico]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Muñoz-Flores]]></surname>
<given-names><![CDATA[Hipólito Jesús]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Hernández-Ramos]]></surname>
<given-names><![CDATA[Jonathan]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sáenz-Reyes]]></surname>
<given-names><![CDATA[José Trinidad]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Reynoso-Santos]]></surname>
<given-names><![CDATA[Roberto]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Barrera-Ramírez]]></surname>
<given-names><![CDATA[Rubén]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias Campo Experimental Uruapan ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>México</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias Campo Experimental Chetumal ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>México</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias Campo Experimental Centro de Chiapas ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>México</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universidad Autónoma de Nuevo León  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</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>128</fpage>
<lpage>154</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-11322022000500128&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-11322022000500128&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-11322022000500128&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Pinus pseudostrobus es una conífera ampliamente aprovechada en el estado de Michoacán para la extracción de resina; sin embargo, los métodos actuales de resinación son empíricos y sin conocimiento de la producción potencial. A partir de variables dasométricas y con el uso del método de mínimos cuadrados ordinarios (MCO) y modelos de efectos mixtos (MEM), se evaluó un modelo de predicción para estimar la producción de resina. A 215 árboles resineros, se les midió el diámetro normal, diámetro de copa y altura total, además se cuantificó la producción de resina por cara (2 186 caras) en un intervalo altitudinal de 2 226 a 2 785 m. Posterior a depurar la base de datos y a construir la variable combinada (d  2 At), se ajustó un modelo lineal de tipo logarítmico en el programa R ® bajo dos enfoques estadísticos: MCO y MEM. Al incluir la covariable de altitud en los MEM como variable de agrupación, se tiene una ganancia estadística promedio de 17 % con respecto a MCO. No hubo incumplimiento de los supuestos de regresión de normalidad y homocedasticidad. Se propone un modelo con parámetros globales para estimar el rendimiento de resina promedio y tres variantes con parámetros aleatorios, en las cuales la altitud de 2 500 m presenta la mayor producción. La productividad estimada y su relación con los intervalos altitudinales puede utilizarse para el establecimiento de plantaciones forestales resineras o en la elaboración de planes de gestión forestal para la especie en la Comunidad Indígena de Nuevo San Juan Parangaricutiro, Michoacán.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Pinus pseudostrobus is a conifer widely used in the state of Michoacán for the extraction of resin; however, current resin extraction methods are empirical and without knowledge of the potential production. Based on mensuration variables and using the ordinary least squares (OLS) method and mixed effects models (MEM), a predictive model for estimating resin production was evaluated. The normal diameter, crown diameter and total height of 215 resin trees were measured; in addition, the resin production per face (2 186 faces) was quantified in an altitudinal range of 2 226 to 2 785 m. After debugging the database and constructing the combined variable (d2tH), a logarithmic linear model was adjusted under two statistical approaches &#8213;OLS and MEM&#8213;, using the R® software. By including the altitude covariate in the MEM as a grouping variable, there is an average statistical gain of 17 % with respect to the OLS approach. No issues of non-compliance with the normality regression or homoscedasticity assumptions were observed. A model with global parameters is proposed to estimate the average resin yield for the region and three variants with random parameters, where the altitude of 2 500 m has the highest production. The estimated productivity and its relationship with the altitudinal ranges can be a guideline for the establishment of forest plantations for resin extraction purposes or the development of forest management plans for the species in the Indigenous Community of Nuevo San Juan Parangaricutiro, Michoacán.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Manejo forestal]]></kwd>
<kwd lng="es"><![CDATA[modelo matemático]]></kwd>
<kwd lng="es"><![CDATA[Pinus pseudostrobus Lindl.]]></kwd>
<kwd lng="es"><![CDATA[predicción]]></kwd>
<kwd lng="es"><![CDATA[producción]]></kwd>
<kwd lng="es"><![CDATA[resina de pino]]></kwd>
<kwd lng="en"><![CDATA[Forest management]]></kwd>
<kwd lng="en"><![CDATA[mathematical model]]></kwd>
<kwd lng="en"><![CDATA[Pinus pseudostrobus Lindl.]]></kwd>
<kwd lng="en"><![CDATA[prediction]]></kwd>
<kwd lng="en"><![CDATA[production]]></kwd>
<kwd lng="en"><![CDATA[pine resin]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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