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Linear relationship between CH4 fluxes and atmospheric CO2 concentration levels controlled by rice biomass and soil methanogenic communities
Nutrient Cycling in Agroecosystems ( IF 3.1 ) Pub Date : 2023-07-25 , DOI: 10.1007/s10705-023-10299-5
Yuanyuan Wang , Zhenghua Hu , Shuqi He , Qiang Jing , Lidong Shen , Chao Liu , Zhurong Wu , Wei Huang , Guihua Lu , Rui Cao , Kezhi Zheng , Ning Dong , Lu Jiang , Jiayao Ye , Anqi Rong , Xuqin Xia , Ye Sun

The contribution of CH4 emissions from paddy soils to greenhouse gas emissions is key in the evaluation of future climate change scenarios. Most studies in this field have investigated the effects of elevated CO2 concentrations (e[CO2]s) on CH4 fluxes and methanogenic communities in paddy soils under constant CO2 concentrations ([CO2]s). However, atmospheric [CO2] is gradually increasing and the relationship between future climate change and CH4 emissions from paddy fields is poorly understood. This study explored the responses of CH4 fluxes and methanogenic communities in paddy soils to different e[CO2]s using open-top chambers. The rice biomass, CH4 fluxes, methane production potential, and methanogenic characteristics were analyzed under CK (ambient [CO2]), C1 (e[CO2] by 120 µmol mol–1), and C2 (e[CO2] by 200 µmol mol–1) treatments. The results indicated that the C1 and C2 treatments insignificantly increased the CH4 flux in paddy fields. However, the C1 treatment significantly increased the CH4 flux/biomass at the elongation stage, while the C2 treatment significantly increased the CH4 flux/biomass at all of the growth stages. The C1 and C2 treatments had a positive effect on both methane production potential and methanogenic abundance at all of the growth stages, but this effect was not always significant. In addition, the C1 and C2 treatments significantly altered the methanogenic community structure at the elongation stage. Notably, there was a significant linear relationship between the CH4 flux/biomass and [CO2] at all of the growth stages; between the methane production potential and [CO2] at the tillering, elongation, and milk-ripening stages; and between the mcrA gene abundance and [CO2] at the milk-ripening stage. A linear model based on rice biomass, methane production potential, and soil DOC concentration explained 72.7% of the variation in the CH4 fluxes. Overall, the linear relationship between CH4 fluxes and atmospheric [CO2] levels was controlled by the rice biomass, soil carbon substrate, and methanogenic communities.



中文翻译:

水稻生物量和土壤产甲烷群落控制的 CH4 通量与大气 CO2 浓度水平之间的线性关系

稻田土壤CH 4排放对温室气体排放的贡献是评估未来气候变化情景的关键。该领域的大多数研究都调查了在CO 2浓度([CO 2 ]s)恒定的情况下,升高的CO 2浓度(e[CO 2 ] s )对水稻土中CH 4通量和产甲烷菌群落的影响。然而,大气中的[CO 2 ]逐渐增加,而未来气候变化与稻田CH 4排放之间的关系却知之甚少。本研究探讨了水稻土CH 4通量和产甲烷群落对不同e[CO2 ]使用顶部开口室。在CK(环境[CO 2 ])、C 1(e[CO 2 ] by 120 µmol mol –1)和C 2(e[CO 2 ] )下分析了水稻生物量、CH 4通量、甲烷生产潜力和产甲烷特征。 2 ] 通过 200 µmol mol –1 ) 处理。结果表明,C 1和C 2处理对稻田CH 4通量的增加不显着。然而,C 1处理显着增加了伸长阶段的CH 4通量/生物量,而C 2处理显着增加了所有生长阶段的CH 4通量/生物量。C 1和C 2处理对所有生长阶段的甲烷生产潜力和产甲烷丰度都有积极影响,但这种影响并不总是显着。此外,C 1和C 2处理显着改变了伸长阶段的产甲烷群落结构。值得注意的是,在所有生长阶段,CH 4通量/生物量与[CO 2 ]之间均存在显着的线性关系。分蘖期、伸长期和乳熟期甲烷生产潜力与[CO 2 ]之间的关系;和之间牛奶成熟阶段的mcrA 基因丰度和 [CO 2 ]。基于水稻生物量、甲烷生产潜力和土壤 DOC 浓度的线性模型解释了 72.7% 的 CH 4通量变化。总体而言,CH 4通量与大气[CO 2 ]水平之间的线性关系受水稻生物量、土壤碳底物和产甲烷群落控制。

更新日期:2023-07-25
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