Post-graduate Program on Water Resources and Environmental Engineering (PPGERHA), Federal University of Paraná, Curitiba, Brazil.
Institute for Environmental Sciences, RPTU Kaiserslautern-Landau, Landau, Germany.
PLoS One. 2024 Mar 27;19(3):e0298186. doi: 10.1371/journal.pone.0298186. eCollection 2024.
The transport of methane from sediments to the atmosphere by rising gas bubbles (ebullition) can be the dominant, yet highly variable emission pathway from shallow aquatic ecosystems. Ebullition fluxes have been reported to vary in space and time, as methane production, accumulation, and bubble release from the sediment matrix is affected by several physical and bio-geochemical processes acting at different timescales. Time-series analysis and empirical models have been used for investigating the temporal dynamics of ebullition and its controls. In this study, we analyzed the factors governing the temporal dynamics of ebullition and evaluated the application of empirical models to reproduce these dynamics across different timescales and across different aquatic systems. The analysis is based on continuous high frequency measurements of ebullition fluxes and environmental variables in a mesotrophic subtropical and polymictic freshwater reservoir. The synchronization of ebullition events across different monitoring sites, and the extent to which ebullition was correlated to environmental variables varied throughout the three years of observations and were affected by thermal stratification in the reservoir. Empirical models developed for other aquatic systems could reproduce a limited fraction of the variability in observed ebullition fluxes (R2 < 0.3), however the predictions could be improved by considering additional environmental variables. The model performance depended on the timescale. For daily and weekly time intervals, a generalized additive model could reproduce 70 and 96% of ebullition variability but could not resolve hourly flux variations (R2 = 0.19). Lastly, we discuss the potential application of empirical models for filling gaps in ebullition measurements and for reproducing the main temporal dynamics of the fluxes. The results provide crucial information for emission estimates, and for the development and implementation of strategies targeting at a reduction of methane emissions from inland waters.
甲烷从沉积物向大气中的传输通过上升的气泡(鼓泡)可以是浅水生境中主要的、但高度可变的排放途径。据报道,鼓泡通量在空间和时间上都有变化,因为甲烷的产生、积累以及气泡从沉积物基质中的释放受到在不同时间尺度上起作用的几个物理和生物地球化学过程的影响。时间序列分析和经验模型已被用于研究鼓泡的时间动态及其控制因素。在这项研究中,我们分析了控制鼓泡时间动态的因素,并评估了经验模型在不同时间尺度和不同水生系统中再现这些动态的应用。该分析基于在一个中营养亚热带和多型淡水水库中对鼓泡通量和环境变量进行的连续高频测量。鼓泡事件在不同监测点的同步,以及鼓泡与环境变量的相关性在三年的观测中变化不定,并且受到水库中热分层的影响。为其他水生系统开发的经验模型可以再现观测到的鼓泡通量变化的有限部分(R2 < 0.3),但是通过考虑其他环境变量,可以提高预测的准确性。模型性能取决于时间尺度。对于每日和每周的时间间隔,广义加性模型可以再现 70%和 96%的鼓泡可变性,但无法解析每小时的通量变化(R2 = 0.19)。最后,我们讨论了经验模型在填补鼓泡测量中的空白以及再现通量主要时间动态方面的潜在应用。研究结果为排放估算以及为减少内陆水域甲烷排放而制定和实施策略提供了关键信息。