Higher than expected N2O emissions from soybean crops in the Pampas Region of Argentina: Estimates from DayCent simulations and field measurements
In developing countries, agriculture generally represents a large fraction of GHG emissions reported in National Inventories, and emissions are typically estimated using Tier 1 IPCC guidelines. However, field data and locally adapted simulation models can improve the accuracy of IPCC estimations. In...
| Autores principales: | , , , , , |
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| Formato: | info:ar-repo/semantics/artículo |
| Lenguaje: | Inglés |
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Elsevier
2022
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/12602 https://www.sciencedirect.com/science/article/pii/S0048969722025013 https://doi.org/10.1016/j.scitotenv.2022.155408 |
| _version_ | 1855036790183821312 |
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| author | Della Chiesa, Tomas Piñeiro, Gervasio Del Grosso, Stephen J. Parton, William J. Araujo, Patricia Ines Yahdjian, Laura |
| author_browse | Araujo, Patricia Ines Del Grosso, Stephen J. Della Chiesa, Tomas Parton, William J. Piñeiro, Gervasio Yahdjian, Laura |
| author_facet | Della Chiesa, Tomas Piñeiro, Gervasio Del Grosso, Stephen J. Parton, William J. Araujo, Patricia Ines Yahdjian, Laura |
| author_sort | Della Chiesa, Tomas |
| collection | INTA Digital |
| description | In developing countries, agriculture generally represents a large fraction of GHG emissions reported in National Inventories, and emissions are typically estimated using Tier 1 IPCC guidelines. However, field data and locally adapted simulation models can improve the accuracy of IPCC estimations. In this study we aimed to quantify anthropogenic N2O emissions from croplands of Argentina through field measurements, model simulations and IPCC guidelines. We measured N2O emissions and their controlling factors in 62 plots of the Pampas Region with corn, soybean and wheat/soybean crops and in unmanaged grasslands. We accounted for gross emissions from crops and background emissions from unmanaged grasslands to calculate net anthropogenic emissions from crops as the difference between them. We calibrated and evaluated the DayCent model and then simulated different weather and management scenarios. Finally, we applied IPCC guidelines to estimate anthropogenic N2O emissions at the same plots. The DayCent model accurately simulated annual N2O emission for all crops as compared to measured data (RMSE = 1.4 g N ha−1 day−1). Measured and simulated emissions in soybean crops were higher than in corn and wheat/soybean crops. Gross N2O emissions ranged from 1.4 to 5.1 kg N ha−1 yr−1 for current environmental (soil and weather) and management (crops and fertilizer doses) conditions. Background emissions ranged between 1.1 and 1.3 kg N ha−1 yr−1, and therefore net anthropogenic emissions ranged from 0.3 to 4.0 kg N ha−1 yr−1. IPCC Tier 1 emission factors underestimated N2O releases from soybean, that were on average 4.87 times greater when estimated with DayCent and observations (0.53 vs 2.47 and 2.69 kg N ha−1 yr−1, respectively). On the contrary, IPCC estimates for corn and wheat/soybean crops were similar to modeled and measured values. Our results suggest that N2O emissions from the vast 15 million ha of soybean croplands in the Pampas Region may be substantially underestimated. |
| format | info:ar-repo/semantics/artículo |
| id | INTA12602 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | INTA126022022-08-17T10:28:48Z Higher than expected N2O emissions from soybean crops in the Pampas Region of Argentina: Estimates from DayCent simulations and field measurements Della Chiesa, Tomas Piñeiro, Gervasio Del Grosso, Stephen J. Parton, William J. Araujo, Patricia Ines Yahdjian, Laura Manejo del Suelo Gases de Efecto Invernadero Rendimiento de Cultivos Soja Maíz Trigo Emisiones de Gas Pastizales Soil Management Greenhouse Gases Crop Yield Soybeans Maize Wheat Gas Emissions Pastures Región Pampeana In developing countries, agriculture generally represents a large fraction of GHG emissions reported in National Inventories, and emissions are typically estimated using Tier 1 IPCC guidelines. However, field data and locally adapted simulation models can improve the accuracy of IPCC estimations. In this study we aimed to quantify anthropogenic N2O emissions from croplands of Argentina through field measurements, model simulations and IPCC guidelines. We measured N2O emissions and their controlling factors in 62 plots of the Pampas Region with corn, soybean and wheat/soybean crops and in unmanaged grasslands. We accounted for gross emissions from crops and background emissions from unmanaged grasslands to calculate net anthropogenic emissions from crops as the difference between them. We calibrated and evaluated the DayCent model and then simulated different weather and management scenarios. Finally, we applied IPCC guidelines to estimate anthropogenic N2O emissions at the same plots. The DayCent model accurately simulated annual N2O emission for all crops as compared to measured data (RMSE = 1.4 g N ha−1 day−1). Measured and simulated emissions in soybean crops were higher than in corn and wheat/soybean crops. Gross N2O emissions ranged from 1.4 to 5.1 kg N ha−1 yr−1 for current environmental (soil and weather) and management (crops and fertilizer doses) conditions. Background emissions ranged between 1.1 and 1.3 kg N ha−1 yr−1, and therefore net anthropogenic emissions ranged from 0.3 to 4.0 kg N ha−1 yr−1. IPCC Tier 1 emission factors underestimated N2O releases from soybean, that were on average 4.87 times greater when estimated with DayCent and observations (0.53 vs 2.47 and 2.69 kg N ha−1 yr−1, respectively). On the contrary, IPCC estimates for corn and wheat/soybean crops were similar to modeled and measured values. Our results suggest that N2O emissions from the vast 15 million ha of soybean croplands in the Pampas Region may be substantially underestimated. EEA Pergamino Fil: Della Chiesa, Tomas. Consejo Nacional de Investigaciones Científicas y Técnicas-Universidad de Buenos Aires (CONICET-UBA). Instituto de Investigaciones Fisiológicas y Ecológicas vinculadas a la Agricultura (IFEVA); Argentina Fil: Della Chiesa, Tomas. Universidad de Buenos Aires. Facultad de Agronomía. Catedra de Climatología y Fenología Agrícolas; Argentina Fil: Piñeiro, Gervasio. Consejo Nacional de Investigaciones Científicas y Técnicas-Universidad de Buenos Aires (CONICET-UBA). Instituto de Investigaciones Fisiológicas y Ecológicas vinculadas a la Agricultura (IFEVA); Argentina Fil: Piñeiro, Gervasio. Universidad de Buenos Aires. Facultad de Agronomía. Laboratorio de Análisis Regional y Teledetección; Argentina Fil: Piñeiro, Gervasio. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Recursos Naturales y Ambiente. Catedra de Ecología; Argentina Fil: Del Grosso, Stephen J. USDA-ARS. Soil Management and Sugar Beet Research Unit; Estados Unidos Fil: Parton, William J. Colorado State University. Natural Resource Ecology Laboratory; Estados Unidos Fil: Araujo, Patricia Inés. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Laboratorio de Suelo; Argentina Fil: Araujo, Patricia Inés. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Yahdjian, Laura. Consejo Nacional de Investigaciones Científicas y Técnicas-Universidad de Buenos Aires (CONICET-UBA). Instituto de Investigaciones Fisiológicas y Ecológicas vinculadas a la Agricultura (IFEVA); Argentina Fil: Yahdjian, Laura. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Recursos Naturales y Ambiente. Catedra de Ecología; Argentina 2022-08-17T10:21:29Z 2022-08-17T10:21:29Z 2022-08 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/12602 https://www.sciencedirect.com/science/article/pii/S0048969722025013 0048-9697 https://doi.org/10.1016/j.scitotenv.2022.155408 eng info:eu-repo/semantics/restrictedAccess application/pdf Elsevier Science of The Total Environment 835 : 155408. (August 2022) |
| spellingShingle | Manejo del Suelo Gases de Efecto Invernadero Rendimiento de Cultivos Soja Maíz Trigo Emisiones de Gas Pastizales Soil Management Greenhouse Gases Crop Yield Soybeans Maize Wheat Gas Emissions Pastures Región Pampeana Della Chiesa, Tomas Piñeiro, Gervasio Del Grosso, Stephen J. Parton, William J. Araujo, Patricia Ines Yahdjian, Laura Higher than expected N2O emissions from soybean crops in the Pampas Region of Argentina: Estimates from DayCent simulations and field measurements |
| title | Higher than expected N2O emissions from soybean crops in the Pampas Region of Argentina: Estimates from DayCent simulations and field measurements |
| title_full | Higher than expected N2O emissions from soybean crops in the Pampas Region of Argentina: Estimates from DayCent simulations and field measurements |
| title_fullStr | Higher than expected N2O emissions from soybean crops in the Pampas Region of Argentina: Estimates from DayCent simulations and field measurements |
| title_full_unstemmed | Higher than expected N2O emissions from soybean crops in the Pampas Region of Argentina: Estimates from DayCent simulations and field measurements |
| title_short | Higher than expected N2O emissions from soybean crops in the Pampas Region of Argentina: Estimates from DayCent simulations and field measurements |
| title_sort | higher than expected n2o emissions from soybean crops in the pampas region of argentina estimates from daycent simulations and field measurements |
| topic | Manejo del Suelo Gases de Efecto Invernadero Rendimiento de Cultivos Soja Maíz Trigo Emisiones de Gas Pastizales Soil Management Greenhouse Gases Crop Yield Soybeans Maize Wheat Gas Emissions Pastures Región Pampeana |
| url | http://hdl.handle.net/20.500.12123/12602 https://www.sciencedirect.com/science/article/pii/S0048969722025013 https://doi.org/10.1016/j.scitotenv.2022.155408 |
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