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Published on: July 19, 2018
Simulation of nitrous oxide emissions at field scale using the SPACSYS model
L Wu1, R M Rees2, D Tarsitano2
1Sustainable Soils and Grassland Systems Department, Rothamsted Research, North Wyke, Okehampton EX20 2SB, UK.
A new model module improves the prediction of nitrous oxide (N2O) emissions from soil nitrification and denitrification. This enhanced understanding aids agricultural strategies for reducing greenhouse gas emissions.
Area of Science:
- Agricultural Science
- Environmental Science
- Soil Science
Background:
- Nitrous oxide (N2O) emissions from soil nitrification and denitrification significantly impact atmospheric greenhouse gas balance and stratospheric ozone depletion.
- These soil processes are influenced by microbial activity, nitrogen availability, soil temperature, and water content.
- Accurate modeling of these processes is crucial for developing agricultural mitigation strategies and regional emissions estimations.
Purpose of the Study:
- To enhance the SPACSYS model by incorporating a detailed module for nitrification, denitrification, and nitrogenous gas emissions.
- To replace a simplified module that could not differentiate individual nitrogenous gas emissions.
- To improve the prediction accuracy of N2O emissions in agricultural systems.
Main Methods:
- Integrated a new, detailed module for denitrification and nitrification processes into the SPACSYS model.
- Utilized a dataset from a Scottish grassland silage production experiment for model validation.
- Compared simulated soil moisture, biomass, nitrogen offtake, and N2O emissions against observed data.
Main Results:
- The new module demonstrated a good representation of soil nitrification and denitrification processes.
- Model validation showed improved prediction of N2O emissions compared to the previous version.
- The updated model successfully simulated soil moisture, biomass, and nitrogen offtake.
Conclusions:
- The enhanced SPACSYS model module accurately represents key soil nitrogen processes and improves N2O emission predictions.
- This provides a valuable tool for estimating gaseous nitrogen emissions under various agricultural management scenarios.
- The model synthesizes understanding of the interactions and regulation governing these critical soil processes.
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