Simulation of soil organic carbon potential sequestration for high Andes Peruvian croplands
Soil organic carbon (SOC) sequestration in croplands represents a significant opportunity to mitigate climate change by removing carbon dioxide from the atmosphere. Simulation tools are increasingly used to assess the impact of climate change and soil management on soil organic carbon stock dynamics...
| Autores principales: | , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
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Sociedade Brasileira de Ciência do Solo
2025
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12955/2936 https://doi.org/10.36783/18069657rbcs20240241 |
| _version_ | 1855490200503844864 |
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| author | Carbajal Llosa, Carlos Miguel Vera Vílchez, Jesús Emilio Pizarro Carcausto, Samuel Edwin Mestanza, Carlos |
| author_browse | Carbajal Llosa, Carlos Miguel Mestanza, Carlos Pizarro Carcausto, Samuel Edwin Vera Vílchez, Jesús Emilio |
| author_facet | Carbajal Llosa, Carlos Miguel Vera Vílchez, Jesús Emilio Pizarro Carcausto, Samuel Edwin Mestanza, Carlos |
| author_sort | Carbajal Llosa, Carlos Miguel |
| collection | Repositorio INIA |
| description | Soil organic carbon (SOC) sequestration in croplands represents a significant opportunity to mitigate climate change by removing carbon dioxide from the atmosphere. Simulation tools are increasingly used to assess the impact of climate change and soil management on soil organic carbon stock dynamics. Although Andean soils typically store large amounts of organic carbon, agricultural practices, especially plowing, may deplete these stocks, creating a need to understand these dynamics better. Here, we show the soil organic carbon sequestration potential in croplands in the Peruvian Andean region over 50 years. Soil organic carbon content and bulk density were spatially predicted across the study area using 100 georeferenced soil samples to quantify organic carbon stocks. Spatial interpolation was performed using Ordinary Kriging with exponential and spherical variogram models, which provided the best fit to the data. The RothC model was used to simulate changes in soil organic carbon stocks under two contrasting agricultural management scenarios: one without manure application and another with annual application of one ton of manure per hectare. We found that manure application can substantially increase soil organic carbon sequestration in croplands with increases ranging from 105.22 to 214.94 Mg ha-¹ over 50 years. The potential for increased carbon sequestration through manure application could help compensate for losses in other areas of the watershed, particularly grasslands (74.4 % of the area). This study contributes valuable information for developing sustainable land management strategies in Andean agroecosystems. |
| format | Artículo |
| id | INIA2936 |
| institution | Institucional Nacional de Innovación Agraria |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Sociedade Brasileira de Ciência do Solo |
| publisherStr | Sociedade Brasileira de Ciência do Solo |
| record_format | dspace |
| spelling | INIA29362025-12-03T15:49:30Z Simulation of soil organic carbon potential sequestration for high Andes Peruvian croplands Carbajal Llosa, Carlos Miguel Vera Vílchez, Jesús Emilio Pizarro Carcausto, Samuel Edwin Mestanza, Carlos Soil organic carbon RothC model SoilR Geostatistics Pedometrics Carbono orgánico del suelo modelo RothC Geoestadística Pedometría https://purl.org/pe-repo/ocde/ford#4.01.01 Suelo agrícola; Agricultural soils; Manejo del suelo; Soil management; Región andina; Andean región; Modelo de simulación; Simulation models; Enmienda orgánica; Organic amendments Soil organic carbon (SOC) sequestration in croplands represents a significant opportunity to mitigate climate change by removing carbon dioxide from the atmosphere. Simulation tools are increasingly used to assess the impact of climate change and soil management on soil organic carbon stock dynamics. Although Andean soils typically store large amounts of organic carbon, agricultural practices, especially plowing, may deplete these stocks, creating a need to understand these dynamics better. Here, we show the soil organic carbon sequestration potential in croplands in the Peruvian Andean region over 50 years. Soil organic carbon content and bulk density were spatially predicted across the study area using 100 georeferenced soil samples to quantify organic carbon stocks. Spatial interpolation was performed using Ordinary Kriging with exponential and spherical variogram models, which provided the best fit to the data. The RothC model was used to simulate changes in soil organic carbon stocks under two contrasting agricultural management scenarios: one without manure application and another with annual application of one ton of manure per hectare. We found that manure application can substantially increase soil organic carbon sequestration in croplands with increases ranging from 105.22 to 214.94 Mg ha-¹ over 50 years. The potential for increased carbon sequestration through manure application could help compensate for losses in other areas of the watershed, particularly grasslands (74.4 % of the area). This study contributes valuable information for developing sustainable land management strategies in Andean agroecosystems. This research was funded by INIA project “Mejoramiento de los servicios de investigación y transferencia tecnológica en el manejo y recuperación de suelos agrícolas degradados y aguas para riego en la pequeña y mediana agricultura en los departamentos de Lima, Áncash, San Martín, Cajamarca, Lambayeque, Junín, Ayacucho, Arequipa, Puno y Ucayali”, CUI 2487112. The authors are grateful for the collaboration of Jhoselin Ospina and Miguel Mendoza from E.E.A. Santa Ana - INIA, as well as the support of Jimmy Espíritu in the laboratory in the C.E. La Molina—INIA. 2025-11-12T20:26:50Z 2025-11-12T20:26:50Z 2025-10-06 info:eu-repo/semantics/article Carbajal C, Vera J, Pizarro S, Mestanza C. Simulation of soil organic carbon potential sequestration for high Andes Peruvian croplands. Rev Bras Cienc Solo. 2025;49:e0240241. https://doi.org/10.36783/18069657rbcs20240241 1806-9657 http://hdl.handle.net/20.500.12955/2936 https://doi.org/10.36783/18069657rbcs20240241 eng urn:issn:1806-9657 Revista Brasileira de Ciencia do Solo info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ application/pdf application/pdf Sociedade Brasileira de Ciência do Solo PE Instituto Nacional de Innovación Agraria Repositorio Institucional - INIA |
| spellingShingle | Soil organic carbon RothC model SoilR Geostatistics Pedometrics Carbono orgánico del suelo modelo RothC Geoestadística Pedometría https://purl.org/pe-repo/ocde/ford#4.01.01 Suelo agrícola; Agricultural soils; Manejo del suelo; Soil management; Región andina; Andean región; Modelo de simulación; Simulation models; Enmienda orgánica; Organic amendments Carbajal Llosa, Carlos Miguel Vera Vílchez, Jesús Emilio Pizarro Carcausto, Samuel Edwin Mestanza, Carlos Simulation of soil organic carbon potential sequestration for high Andes Peruvian croplands |
| title | Simulation of soil organic carbon potential sequestration for high Andes Peruvian croplands |
| title_full | Simulation of soil organic carbon potential sequestration for high Andes Peruvian croplands |
| title_fullStr | Simulation of soil organic carbon potential sequestration for high Andes Peruvian croplands |
| title_full_unstemmed | Simulation of soil organic carbon potential sequestration for high Andes Peruvian croplands |
| title_short | Simulation of soil organic carbon potential sequestration for high Andes Peruvian croplands |
| title_sort | simulation of soil organic carbon potential sequestration for high andes peruvian croplands |
| topic | Soil organic carbon RothC model SoilR Geostatistics Pedometrics Carbono orgánico del suelo modelo RothC Geoestadística Pedometría https://purl.org/pe-repo/ocde/ford#4.01.01 Suelo agrícola; Agricultural soils; Manejo del suelo; Soil management; Región andina; Andean región; Modelo de simulación; Simulation models; Enmienda orgánica; Organic amendments |
| url | http://hdl.handle.net/20.500.12955/2936 https://doi.org/10.36783/18069657rbcs20240241 |
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