估算印度水稻生态系统温室气体通量的两种方法的比较

A. Datta, S. Das, K. Manjunath, T. Adhya
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引用次数: 8

摘要

在印度,农田温室气体排放的测量主要采用传统的封闭室(CCC)方法。采用CCC法和改进的封闭室(MCC)法对稻田甲烷(CH4)和氧化亚氮(N2O)通量进行了比较。将CCC方法中的空气循环泵和Tedler®取样袋分别替换为电源(18v)和三通阀连接的玻璃注射器,以降低操作成本并确保样品安全运输到实验室进行分析。该试验在印度奥里萨邦的灌溉、旱地和深水水稻种植生态系统下进行。研究表明,在灌溉条件下,CCC法和MCC法测定的水稻CH4和N2O通量在整个生长季节无显著差异。而在旱地水稻生态系统中,MCC法在水稻最大分蘖期记录到的CH4通量显著高于旱地。MCC法测定的深水水稻生态系统N2O通量在最大分蘖期较高。这可能与高原地区CH4通量的空间变异性和N2O在水中的高溶解速率有关。在水稻生长的大部分阶段,不同生长环境下两种方法测量的CH4和N2O排放量无显著差异,因此,成本较低的MCC方法可用于大规模田间采样。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of two methods for the estimation of greenhouse gas flux from rice ecosystems in India
In India the greenhouse gas emissions from agricultural field are mainly measured by conventional closed chamber (CCC) method. An experiment was conducted to compare the methane (CH4) and nitrous oxide (N2O) flux from rice fields using the CCC method and the modified closed chamber (MCC) method. The air-circulatory pump and Tedler® sampling bag in the CCC method were replaced with a power supply (18 V) and three-way valve attached glass syringe, respectively, to reduce the operational cost and ensure safe transportation of samples to the laboratory for analysis. The experiment was conducted under irrigated, upland and deepwater rice growing ecosystems in Odisha, India. The study demonstrates that there was no significant difference in the CH4 and N2O flux measured with the CCC and MCC methods throughout the rice growing season under irrigated condition. However, in the upland rice ecosystem, significantly higher CH4 flux was recorded with the MCC method during maximum tillering stage of rice. N2O flux was recorded higher in deepwater rice ecosystem during the maximum tillering stage with the MCC method. These maybe attributed to high spatial variability of CH4 flux from upland area and higher dissolve rate of N2O in water. As the study has recorded no significant differences in CH4 and N2O emissions measurement using the two methods from different rice growing environments during most of the crop growth stages, the cost-effective MCC method maybe used for large-scale field sampling.
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