4.7 Article

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

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 835, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.scitotenv.2022.155408

关键词

Greenhouse gases; Background emissions; Soybean; Corn; Wheat; IPCC; Emission Factor

资金

  1. Ministerio de Agricultura Ganader?a y Pesca de la Naci?n [PICT 3026, 2827]
  2. Agencia Nacional de Promoci?n Cient?fica y Tecnol?gica [PIP 112-2015-0100709]
  3. Consejo Nacional de Investigaciones Cient?ficas y T?cnicas (CONICET) [CRN3005]
  4. Inter-American Institute for Global Change Research (IAI) [GEO-1128040]
  5. US National Science Foundation [2016-34263-25763]
  6. US Department of Agriculture (USDA) UV-B Monitoring and Research Program,Colorado State University, under USDA National Institute of Food [58-3012-7-009, 58-5402-4-011, 58-0111-18-018]
  7. USDA Grass-Cast and DayCent modeling Coop agreements [DE-SC0018420]
  8. DOE Center for Advanced Bioenergy and Bioproducts Innovation ( U.S. Department of Energy, Office of Science, Office of Biological and Environ-mental Research)
  9. CONICET
  10. Fulbright Commission
  11. Fundaci?n Bunge & Born, and International Plant Nutrition Institute

向作者/读者索取更多资源

This study aimed to quantify anthropogenic N2O emissions in Argentine croplands using field measurements, model simulations, and IPCC guidelines. The results showed that IPCC Tier 1 emission factors underestimated N2O releases from soybean crops, while estimates for corn and wheat/soybean crops were similar to modeled and measured values.
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.

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