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Published on: August 3, 2016
A relative method for measuring nitric oxide (NO) fluxes from forest soils
Jiaqi Wang1, Xiaoshan Zhang2, Zhangwei Wang2
1Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China.
A new relative method accurately measures nitric oxide (NO) soil fluxes in nitrogen-rich forests, overcoming limitations of traditional methods. This approach aids in understanding forest ecosystems and improving nitrogen budgets globally.
Area of Science:
- Environmental Science
- Soil Science
- Atmospheric Chemistry
Background:
- Forest ecosystems globally face high nitrogen (N) deposition.
- Nitrogen deposition contributes to atmospheric nitric oxide (NO) emissions, impacting tropospheric oxidative capacity.
- Traditional methods for measuring NO flux in forests are labor-intensive and require power.
Purpose of the Study:
- To develop a more accessible method for measuring soil nitric oxide (NO) fluxes in forest ecosystems.
- To validate a novel relative method based on Fick's law of diffusion for NO flux quantification.
- To assess the method's applicability in N-saturated forest soils.
Main Methods:
- Developed a relative measurement method for NO fluxes based on Fick's law of diffusion.
- Utilized relationships between NO, N2O, and CO2 fluxes and their soil-atmosphere concentration gradients.
- Conducted laboratory and field experiments using soil from a subtropical forest in China.
Main Results:
- The relative method, particularly the form based on equilibrium gas at the soil water surface, showed good agreement with the traditional chamber method.
- Deviation rates between the new method and the chamber method were approximately 9% and 30% for the two forms tested.
- The method demonstrated applicability in measuring NO fluxes from N-saturated forest soils.
Conclusions:
- The developed relative method offers a robust approach for measuring NO fluxes in forest soils, especially in N-saturated environments.
- This method is particularly useful where traditional dynamic chamber methods are impractical due to power limitations.
- The findings contribute to a better understanding of NO flux variations and improve nitrogen budgeting in global forest ecosystems.
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