<?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>0016-7169</journal-id>
<journal-title><![CDATA[Geofísica internacional]]></journal-title>
<abbrev-journal-title><![CDATA[Geofís. Intl]]></abbrev-journal-title>
<issn>0016-7169</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional Autónoma de México, Instituto de Geofísica]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0016-71692019000400295</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Unidades oceanográficas del Golfo de México y áreas adyacentes: La integración mensual de las características biofísicas superficiales]]></article-title>
<article-title xml:lang="en"><![CDATA[Oceanographic units of Gulf of Mexico and adjacent areas: The monthly integration of surface biophysical features]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Uribe-Martínez]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Aguirre-Gómez]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Zavala-Hidalgo]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ressi]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cuevas]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Nacional Autónoma de México Instituto de Geografía Posgrado en Geografía]]></institution>
<addr-line><![CDATA[Ciudad de México ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Nacional Autónoma de México Instituto de Geografía ]]></institution>
<addr-line><![CDATA[Ciudad de México ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Nacional Autónoma de México Centro de Ciencias de la Atmósfera ]]></institution>
<addr-line><![CDATA[Ciudad de México ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Comisión Nacional para el Conocimiento y Uso de la Biodiversidad  ]]></institution>
<addr-line><![CDATA[Ciudad de México ]]></addr-line>
</aff>
<aff id="Af5">
<institution><![CDATA[,Universidad Autónoma del Carmen  ]]></institution>
<addr-line><![CDATA[Cd. del Carmen Campeche]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2019</year>
</pub-date>
<volume>58</volume>
<numero>4</numero>
<fpage>295</fpage>
<lpage>315</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0016-71692019000400295&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0016-71692019000400295&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0016-71692019000400295&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El Golfo de México (GoM) es una región oceánica de una dinámica y complejidad particular, que se evidencia en las variaciones espacio temporales de la configuración de sus aguas superficiales. Varios estudios han utilizado las características superficiales térmicas, biológicas o de circulación para proponer subdivisiones estáticas del GoM; sin embargo, ninguna investigación ha regionalizado la zona integrando distintos aspectos oceanográficos de forma dinámica. El objetivo de este trabajo fue proponer una división del GoM que considerara las características físicas y biológicas y que permitiera analizar la evolución mensual espacial de las unidades en un año promedio. Utilizamos análisis multivariados para reconocer la estructura subyacente de los datos, para generar una expresión espacial mensual de los conglomerados y para probar la robustez de los resultados. Se obtuvieron 18 regiones denominadas unidades oceanográficas (UO) que condensan diversas características superficiales del GoM. Se observaron dos grupos de UO: aquellas que están relacionadas con las propiedades de circulación y aquellas que fueron definidas por la asociación de las características biológicas y térmicas. Quince UO están presentes a lo largo del año, mientras que dos tienen presencia únicamente en verano. Todas las UO tienen variaciones temporales tanto en sus características biofísicas como en su expresión espacial. Este estudio propone una manera novedosa de particionar un sistema marino y aporta parámetros cuantitativos interpretables de las UO propuestas. La representación de la variabilidad de unidades oceanográficas homogéneas provee información valiosa para el manejo diferenciado de recursos marinos asociados temporalmente a masas de agua especificas. Los resultados obtenidos proveen también bases robustas para analizar de manera condensada la dinámica de largo plazo de un sistema tan complejo como es el GoM.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The Gulf of Mexico (GoM) is a large marine ecosystem that has unique oceanographic dynamics, as it shows important spatio temporal variations in the configuration of its surface waters. Several studies have used the thermal and biological features to subdivide the GoM, while other had provided subdivisions using circulation features. Nevertheless, none of those works have produced a dynamic regionalization that consider biological and physical features of the GoM simultaneously. The goal of this work was to propose a dynamic division of the GoM which considers physical and biological features and to analyze the monthly spatial evolution of regions in an average year. We used statistical multivariate analysis to recognize the underlying structure of the data, to generate a monthly expression of clusters and to test the robustness of the achieved regionalization. We obtained 18 regions called oceanographic units (UO) that merged unique surface characteristics of the GoM and that had a monthly spatial configuration. We observed two main groups of UO: those that are mainly related with circulation properties and those that were defined by its biological and thermal associations. Fifteen UO were present all year long, while three of them were only present some months. All UO have monthly internal variations and their boundaries displayed seasonal spatial variation; however, they remained well differentiated from each other. This study offers a novel way to divide an oceanic system, which provides quantitative and pragmatic parameters that can help to develop monitoring systems considering the intrinsic ocean dynamics. The information about oceanographic unit variability provides valuable information to promote marine resources management, in concordance to their temporal association with certain water masses. These results also provide the basis to analyze interannual variations of oceanographic units to offer information about the sea surface dynamics and to help understanding a complex system such as Gulf of Mexico.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Regionalización marina]]></kwd>
<kwd lng="es"><![CDATA[análisis espacio-temporal]]></kwd>
<kwd lng="es"><![CDATA[oceanografía satelital]]></kwd>
<kwd lng="en"><![CDATA[Marine regionalization]]></kwd>
<kwd lng="en"><![CDATA[spatio-temporal analysis]]></kwd>
<kwd lng="en"><![CDATA[satellite oceanography]]></kwd>
</kwd-group>
</article-meta>
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