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Updated: May 29, 2026
09:03
Assessment of Methane and Nitrous Oxide Fluxes from Paddy Field by Means of Static Closed Chambers Maintaining Plants Within Headspace
Published on: September 6, 2018
Spatio-temporal variation in soil derived nitrous oxide emissions under sugarcane.
Xiaodong Huang1, Peter Grace, Kerrie Mengersen
1Mathematical Sciences, Queensland University of Technology, Brisbane, Australia.
The Science of the Total Environment
|August 30, 2011
Summary
Nitrous oxide (N2O) emissions from sugarcane soils are highly variable. This study reveals soil moisture and temperature significantly impact N2O, with spatial patterns changing seasonally.
Area of Science:
- Environmental Science
- Soil Science
- Agricultural Science
Background:
- Nitrous oxide (N2O) is a potent greenhouse gas with 300x the global warming potential of CO2.
- Soil N2O emissions exhibit significant spatial and temporal variability influenced by soil properties and environmental factors.
- Limited research integrates spatial dependence and environmental factors in N2O emission models.
Purpose of the Study:
- To investigate the impact of soil temperature and moisture on N2O emissions.
- To explore the spatial structure of N2O emissions in a subtropical Australian sugarcane region.
- To develop a model accounting for spatial dependence and environmental drivers.
Main Methods:
- Collected replicated N2O emission and soil property data across 25 grid points over one year.
- Utilized a Bayesian conditional autoregressive (CAR) model to analyze spatial dependence.
- Examined seasonal variations in N2O emissions and their relationship with environmental factors.
Main Results:
- Soil moisture and temperature demonstrated distinct effects on N2O emissions when spatial dependence was considered.
- Significant seasonal variations in the spatial distribution of N2O emissions were observed.
- High N2O emission areas correlated with high uncertainty and shifted seasonally.
Conclusions:
- Spatial CAR models are effective for assessing N2O emissions, accounting for spatial variability and uncertainty.
- Accurate identification of relationships between N2O emissions and environmental factors is improved.
- The study reduces uncertainty in soil parameter assessments for N2O emission estimations.
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