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MODELADO Y CARTOGRAFIA DEL ALMACENAMIENTO DE CARBONO EN LOS SUELOS DE LA REPÚBLICA ARGENTINA.

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Title: MODELADO Y CARTOGRAFIA DEL ALMACENAMIENTO DE CARBONO EN LOS SUELOS DE LA REPÚBLICA ARGENTINA.
Alternate Title: MODELLING AND MAPPING OF SOIL CARBON STORAGE IN ARGENTINA.
Authors: José Gaitán, Juan1,2 jgaitan@unlu.edu.ar, Luis Peri, Pablo2,3, Paula Barral, María4,5, Florencia Accame, María6, Guillermo Alaggia, Francisco7, Albarracin, Silvia8, Joan Álvarez-Cortés, Deivid2,9, Álvarez, Claudio10, Bacigaluppo, Silvina11, Balducci, Ezequiel12, Banegas, Natalia13, Barbaro, Sebastián5, Behr, Santiago14, Javier Beltrán, Marcelo15, Victoria Benedetto, María12, Berhongaray, Gonzalo16,17, Buduba, Carlos18, Caballero, Enzo19, Carfagno, Patricia15, Caruso, Cecilia11
Source: Ciencia del Suelo. dic2025, Vol. 43 Issue 2, p268-289. 22p.
Subjects: Carbon in soils, Climate change, Digital soil mapping, Sustainability, Countries, Random forest algorithms
Geographic Terms: Argentina
Abstract (English): The assessment of soil organic carbon stocks (SOC) is highly relevant considering that SOC is one of the main drivers of climate change mitigation and soil productivity. This study updates the SOC storage map of Argentina for the 0-30 cm layer using a Digital Soil Mapping approach with the Random Forest algorithm. A total of 5,377 sites sampled between 2015 and 2022 were analyzed, employing 38 predictive variables related to climate, topography, soil properties, and vegetation. The total SOC storage was estimated at 13.19 PgC, with an uncertainty range of 12.64-13.74 PgC. The mean SOC stock of Argentina was 51.35 Mg ha-1, with the highest values found in wetlands and forest lands. However, in terms of total SOC storage, grasslands account for 61% of the national SOC stock, followed by forest lands (23%), croplands (13%), and wetlands (3%). The model demonstrated solid performance (R² = 0.73) and confirmed that temperature is the main controlling factor of SOC, followed by vegetation and soil properties. This map provides a baseline for assessing changes in SOC storage, which is essential for climate change mitigation policies and sustainable soil management. Its periodic updating will enable progress (or setbacks) tracking in international agreements and contribute to the fulfilment of Sustainable Development Goals. This requires generating new data through networks of permanent, long-term monitoring sites. [ABSTRACT FROM AUTHOR]
Abstract (Spanish): La estimación de las reservas de carbono orgánico del suelo (COS) es muy relevante considerando que el COS es uno de los principales impulsores de la mitigación del cambio climático y la productividad del suelo. Este trabajo actualiza el mapa de almacenamiento de COS de Argentina para la capa 0-30 cm, utilizando un enfoque de Mapeo Digital de Suelos con el algoritmo Random Forest. Se analizaron 5.377 sitios muestreados entre 2015 y 2022 y se emplearon 38 variables predictoras climáticas, topográficas, edáficas y de vegetación. El almacenamiento total de COS se estimó en 13,19 PgC, con un rango de incertidumbre de 12,64-13,74 PgC. La reserva media nacional fue de 51,35 Mg ha-1, con los valores más altos en Humedales y Tierras forestales. Sin embargo, al considerar la reserva total, los Pastizales acumularon el 61% del COS total del país, las Tierras forestales el 23%, las Tierras de cultivos el 13% y los Humedales el 3%. El modelo mostró un desempeño sólido (R² = 0,73) y confirmó que la temperatura es el principal factor de control del COS, seguida por la vegetación y las propiedades edáficas. Este mapa proporciona una línea de base para evaluar cambios en el almacenamiento de COS, lo que resulta clave para políticas de mitigación del cambio climático y manejo sustentable del suelo. Su actualización periódica permitirá reportar avances (o retrocesos) en compromisos internacionales y contribuir a los Objetivos de Desarrollo Sostenible. Para ello resulta necesario generar nuevos datos a través de redes de sitios de monitoreo permanentes y a largo plazo. [ABSTRACT FROM AUTHOR]
Copyright of Ciencia del Suelo is the property of Asociacion Argentina de la Ciencia del Suelo (AACS) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: MODELADO Y CARTOGRAFIA DEL ALMACENAMIENTO DE CARBONO EN LOS SUELOS DE LA REPÚBLICA ARGENTINA.
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  Data: MODELLING AND MAPPING OF SOIL CARBON STORAGE IN ARGENTINA.
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  Data: <searchLink fieldCode="AR" term="%22José+Gaitán%2C+Juan%22">José Gaitán, Juan</searchLink><relatesTo>1,2</relatesTo><i> jgaitan@unlu.edu.ar</i><br /><searchLink fieldCode="AR" term="%22Luis+Peri%2C+Pablo%22">Luis Peri, Pablo</searchLink><relatesTo>2,3</relatesTo><br /><searchLink fieldCode="AR" term="%22Paula+Barral%2C+María%22">Paula Barral, María</searchLink><relatesTo>4,5</relatesTo><br /><searchLink fieldCode="AR" term="%22Florencia+Accame%2C+María%22">Florencia Accame, María</searchLink><relatesTo>6</relatesTo><br /><searchLink fieldCode="AR" term="%22Guillermo+Alaggia%2C+Francisco%22">Guillermo Alaggia, Francisco</searchLink><relatesTo>7</relatesTo><br /><searchLink fieldCode="AR" term="%22Albarracin%2C+Silvia%22">Albarracin, Silvia</searchLink><relatesTo>8</relatesTo><br /><searchLink fieldCode="AR" term="%22Joan+Álvarez-Cortés%2C+Deivid%22">Joan Álvarez-Cortés, Deivid</searchLink><relatesTo>2,9</relatesTo><br /><searchLink fieldCode="AR" term="%22Álvarez%2C+Claudio%22">Álvarez, Claudio</searchLink><relatesTo>10</relatesTo><br /><searchLink fieldCode="AR" term="%22Bacigaluppo%2C+Silvina%22">Bacigaluppo, Silvina</searchLink><relatesTo>11</relatesTo><br /><searchLink fieldCode="AR" term="%22Balducci%2C+Ezequiel%22">Balducci, Ezequiel</searchLink><relatesTo>12</relatesTo><br /><searchLink fieldCode="AR" term="%22Banegas%2C+Natalia%22">Banegas, Natalia</searchLink><relatesTo>13</relatesTo><br /><searchLink fieldCode="AR" term="%22Barbaro%2C+Sebastián%22">Barbaro, Sebastián</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AR" term="%22Behr%2C+Santiago%22">Behr, Santiago</searchLink><relatesTo>14</relatesTo><br /><searchLink fieldCode="AR" term="%22Javier+Beltrán%2C+Marcelo%22">Javier Beltrán, Marcelo</searchLink><relatesTo>15</relatesTo><br /><searchLink fieldCode="AR" term="%22Victoria+Benedetto%2C+María%22">Victoria Benedetto, María</searchLink><relatesTo>12</relatesTo><br /><searchLink fieldCode="AR" term="%22Berhongaray%2C+Gonzalo%22">Berhongaray, Gonzalo</searchLink><relatesTo>16,17</relatesTo><br /><searchLink fieldCode="AR" term="%22Buduba%2C+Carlos%22">Buduba, Carlos</searchLink><relatesTo>18</relatesTo><br /><searchLink fieldCode="AR" term="%22Caballero%2C+Enzo%22">Caballero, Enzo</searchLink><relatesTo>19</relatesTo><br /><searchLink fieldCode="AR" term="%22Carfagno%2C+Patricia%22">Carfagno, Patricia</searchLink><relatesTo>15</relatesTo><br /><searchLink fieldCode="AR" term="%22Caruso%2C+Cecilia%22">Caruso, Cecilia</searchLink><relatesTo>11</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Ciencia+del+Suelo%22">Ciencia del Suelo</searchLink>. dic2025, Vol. 43 Issue 2, p268-289. 22p.
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  Data: <searchLink fieldCode="DE" term="%22Carbon+in+soils%22">Carbon in soils</searchLink><br /><searchLink fieldCode="DE" term="%22Climate+change%22">Climate change</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+soil+mapping%22">Digital soil mapping</searchLink><br /><searchLink fieldCode="DE" term="%22Sustainability%22">Sustainability</searchLink><br /><searchLink fieldCode="DE" term="%22Countries%22">Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Random+forest+algorithms%22">Random forest algorithms</searchLink>
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  Label: Abstract (English)
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  Data: The assessment of soil organic carbon stocks (SOC) is highly relevant considering that SOC is one of the main drivers of climate change mitigation and soil productivity. This study updates the SOC storage map of Argentina for the 0-30 cm layer using a Digital Soil Mapping approach with the Random Forest algorithm. A total of 5,377 sites sampled between 2015 and 2022 were analyzed, employing 38 predictive variables related to climate, topography, soil properties, and vegetation. The total SOC storage was estimated at 13.19 PgC, with an uncertainty range of 12.64-13.74 PgC. The mean SOC stock of Argentina was 51.35 Mg ha-1, with the highest values found in wetlands and forest lands. However, in terms of total SOC storage, grasslands account for 61% of the national SOC stock, followed by forest lands (23%), croplands (13%), and wetlands (3%). The model demonstrated solid performance (R² = 0.73) and confirmed that temperature is the main controlling factor of SOC, followed by vegetation and soil properties. This map provides a baseline for assessing changes in SOC storage, which is essential for climate change mitigation policies and sustainable soil management. Its periodic updating will enable progress (or setbacks) tracking in international agreements and contribute to the fulfilment of Sustainable Development Goals. This requires generating new data through networks of permanent, long-term monitoring sites. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label: Abstract (Spanish)
  Group: Ab
  Data: La estimación de las reservas de carbono orgánico del suelo (COS) es muy relevante considerando que el COS es uno de los principales impulsores de la mitigación del cambio climático y la productividad del suelo. Este trabajo actualiza el mapa de almacenamiento de COS de Argentina para la capa 0-30 cm, utilizando un enfoque de Mapeo Digital de Suelos con el algoritmo Random Forest. Se analizaron 5.377 sitios muestreados entre 2015 y 2022 y se emplearon 38 variables predictoras climáticas, topográficas, edáficas y de vegetación. El almacenamiento total de COS se estimó en 13,19 PgC, con un rango de incertidumbre de 12,64-13,74 PgC. La reserva media nacional fue de 51,35 Mg ha-1, con los valores más altos en Humedales y Tierras forestales. Sin embargo, al considerar la reserva total, los Pastizales acumularon el 61% del COS total del país, las Tierras forestales el 23%, las Tierras de cultivos el 13% y los Humedales el 3%. El modelo mostró un desempeño sólido (R² = 0,73) y confirmó que la temperatura es el principal factor de control del COS, seguida por la vegetación y las propiedades edáficas. Este mapa proporciona una línea de base para evaluar cambios en el almacenamiento de COS, lo que resulta clave para políticas de mitigación del cambio climático y manejo sustentable del suelo. Su actualización periódica permitirá reportar avances (o retrocesos) en compromisos internacionales y contribuir a los Objetivos de Desarrollo Sostenible. Para ello resulta necesario generar nuevos datos a través de redes de sitios de monitoreo permanentes y a largo plazo. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Ciencia del Suelo is the property of Asociacion Argentina de la Ciencia del Suelo (AACS) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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