<?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>2007-4018</journal-id>
<journal-title><![CDATA[Revista Chapingo serie ciencias forestales y del ambiente]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. Chapingo ser. cienc. for. ambient]]></abbrev-journal-title>
<issn>2007-4018</issn>
<publisher>
<publisher-name><![CDATA[Universidad Autónoma Chapingo, Coordinación de Revistas Institucionales]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2007-40182024000200005</article-id>
<article-id pub-id-type="doi">10.5154/r.rchscfa.2023.06.043</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Use of unmanned aerial vehicles for estimating carbon storage in subtropical shrubland aboveground biomass]]></article-title>
<article-title xml:lang="es"><![CDATA[Uso de vehículos aéreos no tripulados para la estimación de almacén de carbono en biomasa aérea de matorral subtropical]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Vega-Puga]]></surname>
<given-names><![CDATA[Masuly G.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Romo-León]]></surname>
<given-names><![CDATA[José R.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Castellanos]]></surname>
<given-names><![CDATA[Alejandro E.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Castillo-Gámez]]></surname>
<given-names><![CDATA[Reyna A.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Garatuza-Payán]]></surname>
<given-names><![CDATA[Jaime]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Sonora Departamento de Investigaciones Científicas y Tecnológicas ]]></institution>
<addr-line><![CDATA[Hermosillo Sonora]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Instituto Tecnológico de Sonora Departamento de Ciencias del Agua y Medio Ambiente ]]></institution>
<addr-line><![CDATA[Ciudad Obregón Sonora]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>08</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>08</month>
<year>2024</year>
</pub-date>
<volume>30</volume>
<numero>2</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-40182024000200005&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-40182024000200005&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-40182024000200005&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract  Introduction Carbon storage studies in arid and semi-arid zones are limited. The use of UAVs (unmanned aerial vehicles) has made it easier to monitor areas of interest, which is difficult with more costly techniques.  Objective The aim of this study is to develop predictive models, using aerial images, to estimate aboveground carbon biomass (ABCS) in subtropical shrub species of Sonora.  Materials and methods ABCS of tree species (&gt;2 m in height) was estimated using field-collected metrics and allometric equations. Remote vegetation metrics (camera mounted on UAV) were obtained using both manual methods (digitization) and automated methods (ForestTools algorithm). Non-parametric tests (Wilcoxon) were conducted to determine differences between field metrics and aerial image metrics. These were used to construct predictive models of individual-level ABCS.  Results and discussion The Wilcoxon test indicated that the maximum crown height estimated in the field and with both approaches is similar (P &gt; 0.05), while crown area and crown volume in situ showed no significant differences (P &gt; 0.05) with the manual approach but shows significant differences with the automated approach (P &lt; 0.05). The predictive models of aboveground carbon biomass (ABCS) with remote approaches were statistically significant (P &lt; 0.001). This suggests that carbon estimation using images can explain the variability of the reference method at the individual level.  Conclusion Aerial imagery is a viable and practical tool for estimating ABCS of trees and shrubs in arid/semiarid communities.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen  Introducción Los estudios de almacenamiento de carbono en zonas áridas y semiáridas son escasos. El uso de VANT (vehículos aéreos no tripulados) ha facilitado el monitoreo de zonas de interés, lo cual es difícil con técnicas que implican un costo mayor.  Objetivo Desarrollar modelos predictivos, mediante el uso de imágenes aéreas, para la estimación de almacén de carbono en biomasa aérea (ACBA) en especies de matorral subtropical de Sonora.  Materiales y métodos Se estimó el ACBA de especies leñosas (&gt;2 m de altura) con métricas recabadas en campo y ecuaciones alométricas. Las métricas de vegetación remotas (cámara montada en VANT) se obtuvieron acorde con los métodos manual (digitalización) y automatizado (algoritmo ForestTools). Se hicieron pruebas no paramétricas (Wilcoxon) para determinar diferencias entre las métricas de campo y de imágenes aéreas. Estas se utilizaron para la construcción de modelos predictivos del ACBA a nivel individuo.  Resultados y discusión La prueba de Wilcoxon indicó que la altura máxima de copa estimada en campo y con ambas aproximaciones es similar (P &gt; 0.05), mientras que el área de copa y volumen de copa in situ no presentan diferencia significativa (P &gt; 0.05) con la aproximación manual, pero sí con la automatizada (P &lt; 0.05). Los modelos predictivos de ACBA con aproximaciones remotas fueron estadísticamente significativos (P &lt; 0.001). Esto sugiere que la estimación de carbono con imágenes es capaz de explicar la variabilidad del método de referencia a nivel individuo.  Conclusión Las imágenes aéreas constituyen una herramienta viable y práctica para la estimación de ACBA de árboles y arbustos en comunidades áridas/semiáridas.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[ForestTools algorithm]]></kwd>
<kwd lng="en"><![CDATA[manual digitizing]]></kwd>
<kwd lng="en"><![CDATA[allometric equations]]></kwd>
<kwd lng="en"><![CDATA[aerial imagery]]></kwd>
<kwd lng="en"><![CDATA[arid zones]]></kwd>
<kwd lng="es"><![CDATA[algoritmo ForestTools]]></kwd>
<kwd lng="es"><![CDATA[digitalización manual]]></kwd>
<kwd lng="es"><![CDATA[ecuaciones alométricas]]></kwd>
<kwd lng="es"><![CDATA[imágenes aéreas]]></kwd>
<kwd lng="es"><![CDATA[zonas áridas]]></kwd>
</kwd-group>
</article-meta>
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