文章基本信息

标题：Diel variability of methane emissions from lakes
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作者：Anna K. Sieczko ; Nguyen Thanh Duc ; Jonathan Schenk 等
期刊名称：Proceedings of the National Academy of Sciences
印刷版ISSN：0027-8424
电子版ISSN：1091-6490
出版年度：2020
卷号：117
期号：35
页码：21488-21494
DOI：10.1073/pnas.2006024117
出版社：The National Academy of Sciences of the United States of America
摘要：Lakes are considered the second largest natural source of atmospheric methane (CH 4 ). However, current estimates are still uncertain and do not account for diel variability of CH 4 emissions. In this study, we performed high-resolution measurements of CH 4 flux from several lakes, using an automated and sensor-based flux measurement approach (in total 4,580 measurements), and demonstrated a clear and consistent diel lake CH 4 flux pattern during stratification and mixing periods. The maximum of CH 4 flux were always noted between 10:00 and 16:00, whereas lower CH 4 fluxes typically occurred during the nighttime (00:00–04:00). Regardless of the lake, CH 4 emissions were on an average 2.4 higher during the day compared to the nighttime. Fluxes were higher during daytime on nearly 80% of the days. Accordingly, estimates and extrapolations based on daytime measurements only most likely result in overestimated fluxes, and consideration of diel variability is critical to properly assess the total lake CH 4 flux, representing a key component of the global CH 4 budget. Hence, based on a combination of our data and additional literature information considering diel variability across latitudes, we discuss ways to derive a diel variability correction factor for previous measurements made during daytime only.
关键词：methane fluxes ; diel variability ; automated flux chambers ; lake greenhouse gas emissions