<?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>1405-0471</journal-id>
<journal-title><![CDATA[Madera y bosques]]></journal-title>
<abbrev-journal-title><![CDATA[Madera bosques]]></abbrev-journal-title>
<issn>1405-0471</issn>
<publisher>
<publisher-name><![CDATA[Instituto de Ecología A.C.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-04712023000200105</article-id>
<article-id pub-id-type="doi">10.21829/myb.2023.2922507</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Identificando zonas potenciales para la conservación florística en el municipio de Tlalixcoyan, Veracruz, a partir de descriptores de paisaje y conectividad]]></article-title>
<article-title xml:lang="en"><![CDATA[Identifying potential zones for floristic conservation in the municipality of Tlalixcoyan, Veracruz, based on landscape descriptors and connectivity]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Juárez-Fragoso]]></surname>
<given-names><![CDATA[Mauricio A.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Perroni-Ventura]]></surname>
<given-names><![CDATA[Yareni]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Dáttilo]]></surname>
<given-names><![CDATA[Wesley]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Gómez-Díaz]]></surname>
<given-names><![CDATA[Jorge A.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Hernández Gómez]]></surname>
<given-names><![CDATA[Irving U.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Guevara]]></surname>
<given-names><![CDATA[Roger]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto de Ecología, A.C. Red Biología Evolutiva ]]></institution>
<addr-line><![CDATA[Xalapa Veracruz]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Veracruzana Instituto de Biotecnología y Ecología Aplicada ]]></institution>
<addr-line><![CDATA[Xalapa Veracruz]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Instituto de Ecología, A.C. Red de Ecoetología ]]></institution>
<addr-line><![CDATA[Xalapa Veracruz]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universidad Veracruzana Instituto de Investiga-ciones Biológicas ]]></institution>
<addr-line><![CDATA[Xalapa Veracruz]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af5">
<institution><![CDATA[,Universidad Veracruzana Centro de Investiga-ciones Tropicales ]]></institution>
<addr-line><![CDATA[Xalapa Veracruz]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2023</year>
</pub-date>
<volume>29</volume>
<numero>2</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-04712023000200105&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-04712023000200105&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-04712023000200105&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El uso de descriptores de paisaje a través de métodos de percepción remota es uno de los métodos más utilizados para el análisis de la composición, estructura y funciones en el paisaje. En este trabajo se identificaron sitios prioritarios para la conservación de la diversidad florística mediante la caracterización de la estructura espacial de las diferentes clases de cobertura vegetal y uso de suelo en el municipio de Tlalixcoyan, Veracruz. Se elaboró una clasificación supervisada de los principales tipos de cobertura vegetal y usos de suelo con base en 210 puntos georreferenciados in situ. Se consideraron siete tipos de cobertura vegetal y se utilizaron imágenes del satélite Sentinel-2B del año 2020. La fiabilidad general de la clasificación fue de 76%. Los fragmentos de pastizales con vegetación leñosa y los bosques secundarios presentaron la mayor conectividad física con índices de cohesión de 99.7 y 99.3 respectivamente. Además, estas dos clases de uso de suelo presentan la mayor cobertura arbórea. Aunado a las métricas de paisaje, el análisis de ventanas móviles permitió detectar áreas potenciales para la conservación florística con base en la proximidad de los fragmentos de bosque y sabana. Si bien la información generada en este estudio es un factor crucial para la conservación, en un futuro será necesario incluir a la sociedad y tomadores de decisiones. Una posible aproximación que puede ser viable para la conservación florística en esta localidad son los programas de áreas destinadas voluntariamente para la conservación promovida por la Comisión Nacional de Áreas Naturales Protegidas (Conanp).]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The analysis of landscape features through remote sensing methods is one of the most used methods for analyzing the landscape's composition, structure, and functions, including qualitative and quantitative changes. This study identified potential sites for conserving floristic diversity in the municipality of Tlalixcoyan in Veracruz. A supervised classification of the municipality was elaborated considering the different types of vegetation cover and land use in the municipality considering seven categories of land use and vegetation cover, 210 referenced points, and satellite images Sentinel-2B gathered in 2020. The overall reliability of the classification was 76%. The two classes of land use with the highest density of trees, grassland with woody vegetation and secondary forests, had the greatest physical connectivity with cohesion indices of 99.7 and 99.3, respectively. Besides the connectivity metric, we used the mobile window method to assess those areas with the highest value for conservation based on the proximity of forest and savanna patches in the landscape. We acknowledge that the identification of potential sites for protection is only the first step, and further actions must involve local landowners and organizations to promote and implement specific activities such as the self-proposed conservation areas supported by the National Commission of Natural Protected Areas (Conanp).]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[bosque secundario]]></kwd>
<kwd lng="es"><![CDATA[ecología del paisaje]]></kwd>
<kwd lng="es"><![CDATA[fragmentación]]></kwd>
<kwd lng="es"><![CDATA[métricas de paisaje]]></kwd>
<kwd lng="es"><![CDATA[uso de suelo]]></kwd>
<kwd lng="es"><![CDATA[ventanas móviles generalizadas]]></kwd>
<kwd lng="en"><![CDATA[secondary forest]]></kwd>
<kwd lng="en"><![CDATA[landscape ecology]]></kwd>
<kwd lng="en"><![CDATA[fragmentation]]></kwd>
<kwd lng="en"><![CDATA[landscape metrics]]></kwd>
<kwd lng="en"><![CDATA[land use]]></kwd>
<kwd lng="en"><![CDATA[generalized moving windows]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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