State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai200241, People's Republic of China.
Institute of Surface-Earth System Science, Tianjin University, Tianjin300072, People's Republic of China.
Environ Sci Technol. 2022 Dec 6;56(23):17430-17442. doi: 10.1021/acs.est.2c03992. Epub 2022 Nov 8.
Nitrous oxide (NO) emissions from lakes exhibit significant spatiotemporal heterogeneity, and quantitative identification of the different NO production processes is greatly limited, causing the role of nitrification to be undervalued or ignored in models of a lake's NO emissions. Here, the contributions of nitrification and denitrification to NO production were quantitatively assessed in the eutrophic Lake Taihu using molecular biology and isotope mapping techniques. The NO fluxes ranged from -41.48 to 28.84 μmol m d in the lake, with lower NO concentrations being observed in spring and summer and significantly higher NO emissions being observed in autumn and winter. The N site preference and relevant isotopic evidence demonstrated that denitrification contributed approximately 90% of the lake's gross NO production during summer and autumn, 27-83% of which was simultaneously eliminated via NO reduction. Surprisingly, nitrification seemed to act as a key process promoting NO production and contributing to the lake as a source of NO emissions. A combination of NO isotopocule-based approaches and molecular techniques can be used to determine the precise characteristics of microbial NO production and consumption in eutrophic lakes. The results of this study provide a basis for accurately assessing NO emissions from lakes at the regional and global scales.
一氧化二氮(NO)排放具有明显的时空异质性,定量识别不同的 NO 产生过程受到极大限制,导致硝化作用在湖泊 NO 排放模型中被低估或忽视。本研究采用分子生物学和同位素示踪技术,定量评估了富营养化太湖中硝化和反硝化作用对 NO 产生的贡献。湖泊中的 NO 通量范围为-41.48 至 28.84 μmol m d,春季和夏季的 NO 浓度较低,秋季和冬季的 NO 排放量显著较高。氮同位素示踪和相关同位素证据表明,反硝化作用在夏季和秋季贡献了湖泊总 NO 产生的约 90%,其中约 27-83%同时通过 NO 还原消除。令人惊讶的是,硝化作用似乎是促进 NO 产生的关键过程,并使湖泊成为 NO 排放的来源。NO 同位素示踪方法与分子技术相结合可用于确定富营养化湖泊中微生物 NO 产生和消耗的精确特征。本研究结果为准确评估区域和全球尺度湖泊的 NO 排放提供了依据。