Articles | Volume 13, issue 12
https://doi.org/10.5194/bg-13-3549-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-13-3549-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
17 Jun 2016
Research article |
| 17 Jun 2016
Ecological controls on N2O emission in surface litter and near-surface soil of a managed grassland: modelling and measurements
Department of Renewable Resources, University of Alberta, Edmonton AB T6G 2E3, Canada
Albrecht Neftel
Agroscope Institute for Sustainability Sciences ISS, Reckenholzstrasse 191,
P.O.Box 8046, Zürich, Switzerland
Pierluigi Calanca
Agroscope Institute for Sustainability Sciences ISS, Reckenholzstrasse 191,
P.O.Box 8046, Zürich, Switzerland
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Cited
16 citations as recorded by crossref.
- Topographical Controls on Hillslope‐Scale Hydrology Drive Shrub Distributions on the Seward Peninsula, Alaska Z. Mekonnen et al. 10.1029/2020JG005823
- How could simulated dewatering of slurry mitigate nitrous oxide emissions from fall and spring injections? – A modelling study in a Chernozem soil in Western Canada S. Lin et al. 10.1016/j.scitotenv.2021.148758
- Approaches and concepts of modelling denitrification: increased process understanding using observational data can reduce uncertainties S. Del Grosso et al. 10.1016/j.cosust.2020.07.003
- Effect of management and weather variations on the greenhouse gas budget of two grasslands during a 10-year experiment C. Ammann et al. 10.1016/j.agee.2019.106814
- Improving the accuracy of satellite-based high-resolution yield estimation: A test of multiple scalable approaches Z. Jin et al. 10.1016/j.agrformet.2017.08.001
- Modelling nitrification inhibitor effects on N<sub>2</sub>O emissions after fall- and spring-applied slurry by reducing nitrifier NH<sub>4</sub><sup>+</sup> oxidation rate R. Grant et al. 10.5194/bg-17-2021-2020
- Carbon Footprint of Mediterranean Pasture-Based Native Beef: Effects of Agronomic Practices and Pasture Management under Different Climate Change Scenarios G. Grossi et al. 10.3390/ani10030415
- Nitrogen and phosphorus control carbon sequestration in agricultural ecosystems: modelling carbon, nitrogen, and phosphorus balances at the Breton Plots with ecosys under historical and future climates R. Grant et al. 10.1139/cjss-2019-0132
- Assessing Effects of Agronomic Nitrogen Management on Crop Nitrogen Use and Nitrogen Losses in the Western Canadian Prairies S. Mezbahuddin et al. 10.3389/fsufs.2020.512292
- Accelerated Nutrient Cycling and Increased Light Competition Will Lead to 21st Century Shrub Expansion in North American Arctic Tundra Z. Mekonnen et al. 10.1029/2017JG004319
- Quantifying nitrogen loss hotspots and mitigation potential for individual fields in the US Corn Belt with a metamodeling approach T. Kim et al. 10.1088/1748-9326/ac0d21
- 21st century tundra shrubification could enhance net carbon uptake of North America Arctic tundra under an RCP8.5 climate trajectory Z. Mekonnen et al. 10.1088/1748-9326/aabf28
- Distinct driving mechanisms of non-growing season N2O emissions call for spatial-specific mitigation strategies in the US Midwest Y. Yang et al. 10.1016/j.agrformet.2022.109108
- Aligning theoretical and empirical representations of soil carbon-to-nitrogen stoichiometry with process-based terrestrial biogeochemistry models K. Rocci et al. 10.1016/j.soilbio.2023.109272
- Quantifying carbon budget, crop yields and their responses to environmental variability using the ecosys model for U.S. Midwestern agroecosystems W. Zhou et al. 10.1016/j.agrformet.2021.108521
- KGML-ag: a modeling framework of knowledge-guided machine learning to simulate agroecosystems: a case study of estimating N<sub>2</sub>O emission using data from mesocosm experiments L. Liu et al. 10.5194/gmd-15-2839-2022
16 citations as recorded by crossref.
- Topographical Controls on Hillslope‐Scale Hydrology Drive Shrub Distributions on the Seward Peninsula, Alaska Z. Mekonnen et al. 10.1029/2020JG005823
- How could simulated dewatering of slurry mitigate nitrous oxide emissions from fall and spring injections? – A modelling study in a Chernozem soil in Western Canada S. Lin et al. 10.1016/j.scitotenv.2021.148758
- Approaches and concepts of modelling denitrification: increased process understanding using observational data can reduce uncertainties S. Del Grosso et al. 10.1016/j.cosust.2020.07.003
- Effect of management and weather variations on the greenhouse gas budget of two grasslands during a 10-year experiment C. Ammann et al. 10.1016/j.agee.2019.106814
- Improving the accuracy of satellite-based high-resolution yield estimation: A test of multiple scalable approaches Z. Jin et al. 10.1016/j.agrformet.2017.08.001
- Modelling nitrification inhibitor effects on N<sub>2</sub>O emissions after fall- and spring-applied slurry by reducing nitrifier NH<sub>4</sub><sup>+</sup> oxidation rate R. Grant et al. 10.5194/bg-17-2021-2020
- Carbon Footprint of Mediterranean Pasture-Based Native Beef: Effects of Agronomic Practices and Pasture Management under Different Climate Change Scenarios G. Grossi et al. 10.3390/ani10030415
- Nitrogen and phosphorus control carbon sequestration in agricultural ecosystems: modelling carbon, nitrogen, and phosphorus balances at the Breton Plots with ecosys under historical and future climates R. Grant et al. 10.1139/cjss-2019-0132
- Assessing Effects of Agronomic Nitrogen Management on Crop Nitrogen Use and Nitrogen Losses in the Western Canadian Prairies S. Mezbahuddin et al. 10.3389/fsufs.2020.512292
- Accelerated Nutrient Cycling and Increased Light Competition Will Lead to 21st Century Shrub Expansion in North American Arctic Tundra Z. Mekonnen et al. 10.1029/2017JG004319
- Quantifying nitrogen loss hotspots and mitigation potential for individual fields in the US Corn Belt with a metamodeling approach T. Kim et al. 10.1088/1748-9326/ac0d21
- 21st century tundra shrubification could enhance net carbon uptake of North America Arctic tundra under an RCP8.5 climate trajectory Z. Mekonnen et al. 10.1088/1748-9326/aabf28
- Distinct driving mechanisms of non-growing season N2O emissions call for spatial-specific mitigation strategies in the US Midwest Y. Yang et al. 10.1016/j.agrformet.2022.109108
- Aligning theoretical and empirical representations of soil carbon-to-nitrogen stoichiometry with process-based terrestrial biogeochemistry models K. Rocci et al. 10.1016/j.soilbio.2023.109272
- Quantifying carbon budget, crop yields and their responses to environmental variability using the ecosys model for U.S. Midwestern agroecosystems W. Zhou et al. 10.1016/j.agrformet.2021.108521
- KGML-ag: a modeling framework of knowledge-guided machine learning to simulate agroecosystems: a case study of estimating N<sub>2</sub>O emission using data from mesocosm experiments L. Liu et al. 10.5194/gmd-15-2839-2022
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Latest update: 15 Apr 2024
Short summary
The magnitude of N2O emissions from managed grasslands depends on weather and on harvesting and fertilizer practices. Modelling provides a means to predict these emissions under diverse weather and management types. In this modelling study, we show that N2O emissions depend on how weather affects temperatures and water contents of surface litter and near-surface soil. N2O emissions modelled from the grassland were increased by suboptimal harvesting practices, fertilizer timing and soil properties.
The magnitude of N2O emissions from managed grasslands depends on weather and on harvesting and...
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