<?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>S0187-57792025000100116</article-id>
<article-id pub-id-type="doi">10.28940/terra.v43i.2077</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Evaluación Asociativa del Impacto Económico del Estrés Hídrico en la Producción Agrícola del Noreste de México Mediante Indicadores]]></article-title>
<article-title xml:lang="en"><![CDATA[Associative Assessment of the Economic Impact of Water Stress on Agricultural Production in Northeastern Mexico Using Indicators]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[López-López]]></surname>
<given-names><![CDATA[Carlos]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Exebio-García]]></surname>
<given-names><![CDATA[Adolfo Antenor]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Flores-Velázquez]]></surname>
<given-names><![CDATA[Jorge]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Bolaños-González]]></surname>
<given-names><![CDATA[Martín Alejandro]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rubiños-Panta]]></surname>
<given-names><![CDATA[Juan Enrique]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Colegio de Postgraduados  ]]></institution>
<addr-line><![CDATA[ Estado de México]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2025</year>
</pub-date>
<volume>43</volume>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0187-57792025000100116&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0187-57792025000100116&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0187-57792025000100116&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen: El Distrito de Riego 025, en el noreste de México, enfrenta condiciones climáticas adversas caracterizadas por un clima seco y precipitaciones insuficientes para un desarrollo agrícola óptimo. Esta situación se ha agravado por el Cambio Climático (CC), lo cual ha reducido significativamente los rendimientos agrícolas. Este estudio, de tipo empírico con estrategia asociativa, tuvo como objetivo evaluar el impacto económico del estrés hídrico en la producción agrícola mediante tres indicadores clave: el Valor Económico de la Huella Hídrica (HHvalor), la Eficacia del Suministro del Riego (ESRhh) y el Valor de la Producción Agrícola (Vp). La metodología, de naturaleza no experimental, incluyó el análisis de las huellas hídricas, la productividad del agua, las condiciones actuales de riego y estadísticas agrícolas e hidrométricas, asociadas a dos escenarios: uno ideal sin estrés hídrico (Línea Base, LB) y otro con estrés hídrico (Condición Real, CR). Los datos meteorológicos se generaron mediante WXGEN y se procesaron con el software CROPWAT 8.0 de la FAO para calcular los requerimientos de riego de los principales cultivos. Los resultados mostraron que el mayor impacto económico del estrés hídrico se obtuvo con HHvalor ($ 798 110 647.64), seguido por ESRhh ($ 215 410 806.25) y Vp ($ 72 341 989.32), con un impacto promedio de $ 361 223 351.00. Las principales limitaciones del estudio incluyeron la falta de datos meteorológicos y fisiológicos medidos directamente en el lugar. Aun así, los indicadores y la metodología desarrollados proporcionan herramientas efectivas para cuantificar y mitigar las pérdidas económicas derivadas del estrés hídrico, contribuyendo a una gestión más eficiente del agua en la agricultura. En conclusión, el principal hallazgo fue que el HHvalor permite evaluar de forma integral el impacto económico del estrés hídrico en la producción agrícola de riego, ya que incorpora tanto las huellas hídricas de los cultivos como su valor económico intrínseco.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Summary: Irrigation District 025, located in northeastern Mexico, faces adverse climatic conditions characterized by a dry climate and insufficient rainfall for optimal agricultural development. This situation has been exacerbated by Climate Change (CC), which has significantly reduced agricultural yields. Our study, classified as empirical with an associative strategy, aimed to evaluate the economic impact of water stress on agricultural production using three key indicators: the Economic Value of the Water Footprint (HHvalor), Irrigation Supply Efficiency (ESRhh), and Agricultural Production Value (Vp). The non-experimental methodology included the analysis of water footprints, water productivity, current irrigation conditions, and agricultural and hydrometric statistics, associated with two scenarios: an ideal scenario without water stress (Baseline, LB) and a scenario with water stress (Real Condition, RC). Meteorological data were generated using WXGEN and processed with FAO&#8217;s CROPWAT 8.0 software to calculate irrigation requirements for the main crops. The results showed that the highest economic impact of water stress was obtained with HHvalor ($ 798 110 647.64), followed by ESRhh ($ 215 410 806.25) and Vp ($ 72 341 989.32), with an average impact of $ 361 223 351.00. The main limitations of the study included the lack of directly measured meteorological and physiological data for the crops. Nevertheless, the developed indicators and methodology provide effective tools to quantify and mitigate economic losses resulting from water stress, contributing to more efficient water management in agriculture. In conclusion, our main finding was that HHvalor allows for a comprehensive assessment of the economic impact of water stress on irrigated agricultural production, as it incorporates both the water footprints of crops and their intrinsic economic value.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[agricultura sostenible]]></kwd>
<kwd lng="es"><![CDATA[cambio climático global]]></kwd>
<kwd lng="es"><![CDATA[gestión del agua]]></kwd>
<kwd lng="es"><![CDATA[indicadores cuantitativos]]></kwd>
<kwd lng="es"><![CDATA[región hidrológica 24 Bravo-Conchos]]></kwd>
<kwd lng="en"><![CDATA[sustainable agriculture]]></kwd>
<kwd lng="en"><![CDATA[global climate change]]></kwd>
<kwd lng="en"><![CDATA[water management]]></kwd>
<kwd lng="en"><![CDATA[quantitative indicators]]></kwd>
<kwd lng="en"><![CDATA[Bravo-Conchos hydrological region 24]]></kwd>
</kwd-group>
</article-meta>
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