<?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>0187-5779</journal-id>
<journal-title><![CDATA[Terra Latinoamericana]]></journal-title>
<abbrev-journal-title><![CDATA[Terra Latinoam]]></abbrev-journal-title>
<issn>0187-5779</issn>
<publisher>
<publisher-name><![CDATA[Sociedad Mexicana de la Ciencia del Suelo A.C.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0187-57792017000400281</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Clasificación digital de suelos a través de covariables ambientales de la cuenca del río Mixteco]]></article-title>
<article-title xml:lang="en"><![CDATA[Digital soil classification trough environmental covariables of the Mixteco river watershed]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Colín García]]></surname>
<given-names><![CDATA[Gerardo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Fernández Reynoso]]></surname>
<given-names><![CDATA[Demetrio S.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Martínez Menez]]></surname>
<given-names><![CDATA[Mario R.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ríos Berber]]></surname>
<given-names><![CDATA[José Donaldo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sánchez Guzmán]]></surname>
<given-names><![CDATA[Patricio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rubio Granados]]></surname>
<given-names><![CDATA[Erasmo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ibáñez Castillo]]></surname>
<given-names><![CDATA[Laura Alicia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Colegio de Postgraduados  ]]></institution>
<addr-line><![CDATA[Texcoco Estado de México]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Colegio de Postgraduados  ]]></institution>
<addr-line><![CDATA[Texcoco Estado de México]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Autónoma Chapingo Departamento de Irrigación ]]></institution>
<addr-line><![CDATA[Chapingo Estado de México]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2017</year>
</pub-date>
<volume>35</volume>
<numero>4</numero>
<fpage>281</fpage>
<lpage>291</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0187-57792017000400281&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0187-57792017000400281&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0187-57792017000400281&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen: La escasez de mapas con una distribución detallada de las unidades de suelo representa una limitante frecuente para la toma de decisiones, el modelado hidrológico y determinación del potencial productivo de un área. En este trabajo se aplicó la técnica de Mapeo Digital de Suelos (MDS), a través del Análisis de Componentes Principales (ACP), para obtener la distribución espacial de las unidades de suelo. El área de estudio corresponde a la cuenca del río Mixteco, con una superficie de 655 903 ha, que se ubica en el estado de Oaxaca. Para el MDS se emplearon covariables ambientales del tipo topográficas, hidrológicas, climáticas y geológicas. Las covariables ambientales de mayor impacto, en la distribución espacial de las unidades de suelo, en orden de importancia fueron las geológicas, topográficas y climáticas. La clasificación digital se basó en 142 áreas de entrenamiento y 60 sitios para la validación de resultados, distribuidos aleatoriamente. En la cuenca, de acuerdo al Sistema de Clasificación WRB de la FAO (2014), a través del MDS se identificaron de manera satisfactoria (precisión global de 76.67% y un Índice Kappa de 71.20) los siguientes grupos de suelos Cambisoles (35.8%), Fluvisoles (7.16%), Leptosoles (48.25%), Regosoles (8.00%) y Vertisoles (0.79%). El MDS determinó satisfactoriamente la distribución espacial de las unidades de suelo en la cuenca e identificó las covariables ambientales de mayor influencia.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: The lack of detailed maps of spatial distribution of soil units is a frequent constraint in decision-making processes, hydrological modeling, and productive assessment of an area. In this work, the Digital Soil Mapping (DSM) technique was applied, and Principal Component Analysis (PCA) was used to obtain the spatial distribution of dominant soil units in a watershed. The study area was the Mixteco watershed, which covers an area of 655 903 ha, of the Mexican state of Oaxaca. For DSM, topographic, hydrological, climatic and geological environmental covariables were used. The environmental covariables with greater impact on the spatial distribution of soil units, in order of importance, were geological, topographic and climatic. Digital classification was based on 142 randomly distributed training areas and 60 sites for validation of results. In the watershed, according to the FAO (2014) WRB Classification System, the following soil groups were identified satisfactorily (76.67% for overall accuracy and 71.20% for the kappa index): Cambisols (35.8%), Fluvisols (7.16%), Leptosols (48.25%), Regosols (8.00%) and Vertisols 0.79%). DSM satisfactorily determined the spatial distribution of soil units in the watershed and identified the most influential environmental covariables.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[mapeo digital de suelo]]></kwd>
<kwd lng="es"><![CDATA[análisis de covarianza]]></kwd>
<kwd lng="es"><![CDATA[unidades de suelo]]></kwd>
<kwd lng="es"><![CDATA[Índice Kappa]]></kwd>
<kwd lng="es"><![CDATA[región Mixteca]]></kwd>
<kwd lng="en"><![CDATA[digital soil mapping]]></kwd>
<kwd lng="en"><![CDATA[covariance analysis]]></kwd>
<kwd lng="en"><![CDATA[soil units]]></kwd>
<kwd lng="en"><![CDATA[Kappa Index]]></kwd>
<kwd lng="en"><![CDATA[Mixteca region]]></kwd>
</kwd-group>
</article-meta>
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