Estimating methane emissions from northern lakes using ice‐bubble surveys

• Published in: Limnology and Oceanography: Methods
• Main Authors: Walter Anthony, Katey M., Vas, Dragos. A., Brosius, Laura, Chapin, F. Stuart, Zimov, Sergey A., Zhuang, Qianlai
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 2010
• Subjects: Alaska; Siberia
• Online Access: http://dx.doi.org/10.4319/lom.2010.8.0592; https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.4319%2Flom.2010.8.0592; https://aslopubs.onlinelibrary.wiley.com/doi/pdf/10.4319/lom.2010.8.0592

The magnitude and variability in methane (CH 4 ) emissions from lakes are uncertain due to limitations in methods for quantifying the patchiness of ebullition (bubbling). We present a field method to estimate an important and highly uncertain source: ebullition from northern lakes. We defined four classes of CH 4 bubble clusters trapped in lake ice representing distinct types of biogenic ebullition seeps that differed in flux rate. Mean annual ebullition determined through long‐term (up to 700 d) continuous flux measurements of 31 seeps in three Siberian and one Alaskan lake was (mean ± standard error, 4–10 seeps per class; g CH 4 seep −1 y −1 ): A, 6 ± 4; B, 48 ± 11; C, 354 ± 52; Hotspot, 1167 ± 177. Discrete‐seep ebullition comprised up to 87% of total emissions from Siberian lakes when diffusive flux and background and seep ebullition were considered together. Including seep ebullition increased previous estimates of lake CH 4 emissions based on traditional methods 5‐ to 8‐fold for Siberian and Alaskan lakes. Linking new ebullition estimates to an established biogeochemical model, the Terrestrial Ecosystem Model, increased previous estimates of regional terrestrial CH 4 emissions 3‐ to 7‐fold in Siberia. Assessment of the method revealed that ebullition seeps are an important component of the terrestrial CH 4 budget. They are identifiable by seep type by independent observers; they are consistent predictors of flux rate in both Siberia and Alaska; and they allow quantification of what was previously a large source of uncertainty in upscaling CH 4 emissions from lakes to regions.