Higher than expected N2O emissions from soybean crops in the Pampas Region of Argentina: Estimates from DayCent simulations and field measurements

Autores
Della Chiesa, Tomas; Piñeiro, Gervasio; Del Grosso, Stephen J.; Parton, William J.; Araujo, Patricia Ines; Yahdjian, Laura
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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
Fuente
Science of The Total Environment 835 : 155408. (August 2022)
Materia
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
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/12602
Acceder
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oai_identifier_str oai:localhost:20.500.12123/12602
network_acronym_str INTADig
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network_name_str INTA Digital (INTA)
spelling Higher than expected N2O emissions from soybean crops in the Pampas Region of Argentina: Estimates from DayCent simulations and field measurementsDella Chiesa, TomasPiñeiro, GervasioDel Grosso, Stephen J.Parton, William J.Araujo, Patricia InesYahdjian, LauraManejo del SueloGases de Efecto InvernaderoRendimiento de CultivosSojaMaízTrigoEmisiones de GasPastizalesSoil ManagementGreenhouse GasesCrop YieldSoybeansMaizeWheatGas EmissionsPasturesRegión PampeanaIn 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 PergaminoFil: 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); ArgentinaFil: Della Chiesa, Tomas. Universidad de Buenos Aires. Facultad de Agronomía. Catedra de Climatología y Fenología Agrícolas; ArgentinaFil: 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); ArgentinaFil: Piñeiro, Gervasio. Universidad de Buenos Aires. Facultad de Agronomía. Laboratorio de Análisis Regional y Teledetección; ArgentinaFil: Piñeiro, Gervasio. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Recursos Naturales y Ambiente. Catedra de Ecología; ArgentinaFil: Del Grosso, Stephen J. USDA-ARS. Soil Management and Sugar Beet Research Unit; Estados UnidosFil: Parton, William J. Colorado State University. Natural Resource Ecology Laboratory; Estados UnidosFil: Araujo, Patricia Inés. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Laboratorio de Suelo; ArgentinaFil: Araujo, Patricia Inés. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: 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); ArgentinaFil: Yahdjian, Laura. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Recursos Naturales y Ambiente. Catedra de Ecología; ArgentinaElsevier2022-08-17T10:21:29Z2022-08-17T10:21:29Z2022-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/12602https://www.sciencedirect.com/science/article/pii/S00489697220250130048-9697https://doi.org/10.1016/j.scitotenv.2022.155408Science of The Total Environment 835 : 155408. (August 2022)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-10-23T11:18:04Zoai:localhost:20.500.12123/12602instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-10-23 11:18:04.779INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv 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
spellingShingle Higher than expected N2O emissions from soybean crops in the Pampas Region of Argentina: Estimates from DayCent simulations and field measurements
Della Chiesa, Tomas
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
title_short 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_sort Higher than expected N2O emissions from soybean crops in the Pampas Region of Argentina: Estimates from DayCent simulations and field measurements
dc.creator.none.fl_str_mv Della Chiesa, Tomas
Piñeiro, Gervasio
Del Grosso, Stephen J.
Parton, William J.
Araujo, Patricia Ines
Yahdjian, Laura
author Della Chiesa, Tomas
author_facet Della Chiesa, Tomas
Piñeiro, Gervasio
Del Grosso, Stephen J.
Parton, William J.
Araujo, Patricia Ines
Yahdjian, Laura
author_role author
author2 Piñeiro, Gervasio
Del Grosso, Stephen J.
Parton, William J.
Araujo, Patricia Ines
Yahdjian, Laura
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv 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
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
dc.description.none.fl_txt_mv 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
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.
publishDate 2022
dc.date.none.fl_str_mv 2022-08-17T10:21:29Z
2022-08-17T10:21:29Z
2022-08
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv 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
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
identifier_str_mv 0048-9697
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Science of The Total Environment 835 : 155408. (August 2022)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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