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Zhou, Chuanqiao; Zhou, Muchun; Peng, Yu; Xu, Xiaoguang; Terada, Akihiko; Wang, Guoxiang; Zhong, Huan; Kinouchi, Tsuyoshi
Unexpected increase of sulfate concentrations and potential impact on CH4 budgets in freshwater lakes Journal Article
In: Water Research, vol. 261, pp. 122018, 2024, ISSN: 0043-1354.
Abstract | Links | BibTeX | Tags: associated-publication, Eutrophic lakes, Machine learning, Organic carbon mineralization, Substrate competition, Sulfate reduction
@article{ZHOU2024122018,
title = {Unexpected increase of sulfate concentrations and potential impact on CH4 budgets in freshwater lakes},
author = {Chuanqiao Zhou and Muchun Zhou and Yu Peng and Xiaoguang Xu and Akihiko Terada and Guoxiang Wang and Huan Zhong and Tsuyoshi Kinouchi},
url = {https://www.sciencedirect.com/science/article/pii/S0043135424009187},
doi = {https://doi.org/10.1016/j.watres.2024.122018},
issn = {0043-1354},
year = {2024},
date = {2024-01-01},
urldate = {2024-01-01},
journal = {Water Research},
volume = {261},
pages = {122018},
abstract = {The continuous increase in sulfate (SO42−) concentrations discharged by anthropogenic activities lacks insights into their dynamics and potential impact on CH4 budgets in freshwater lakes. Here we conducted a field investigation in the lakes along the highly developed Yangtze River basin, China, additionally, we analyzed long-term data (1950-2020) from Lake Taihu, a typical eutrophic lake worldwide. We observed a gradual increase in SO42− concentrations up to 100 mg/L, which showed a positive correlation with the trophic state of the lakes. The annual variations indicated that eutrophication intensified the fluctuation of SO42− concentrations. A random forest model was applied to assess the impact of SO42− concentrations on CH4 emissions, revealing a significant negative effect. Synchronously, a series of microcosms with added SO42− were established to simulate cyanobacteria decomposition processes and explore the coupling mechanism between sulfate reduction and CH4 production. The results showed a strong negative correlation between CH4 concentrations and initial SO42− levels (R2 = 0.83), indicating that higher initial SO42− concentrations led to lower final CH4 concentrations. This was attributed to the competition for cyanobacteria-supplied substrates between sulfate reduction bacteria (SRB) and methane production archaea (MPA). Our study highlights the importance of considering the unexpectedly increasing SO42− concentrations in eutrophic lakes when estimating global CH4 emission budgets.},
keywords = {associated-publication, Eutrophic lakes, Machine learning, Organic carbon mineralization, Substrate competition, Sulfate reduction},
pubstate = {published},
tppubtype = {article}
}
The continuous increase in sulfate (SO42−) concentrations discharged by anthropogenic activities lacks insights into their dynamics and potential impact on CH4 budgets in freshwater lakes. Here we conducted a field investigation in the lakes along the highly developed Yangtze River basin, China, additionally, we analyzed long-term data (1950-2020) from Lake Taihu, a typical eutrophic lake worldwide. We observed a gradual increase in SO42− concentrations up to 100 mg/L, which showed a positive correlation with the trophic state of the lakes. The annual variations indicated that eutrophication intensified the fluctuation of SO42− concentrations. A random forest model was applied to assess the impact of SO42− concentrations on CH4 emissions, revealing a significant negative effect. Synchronously, a series of microcosms with added SO42− were established to simulate cyanobacteria decomposition processes and explore the coupling mechanism between sulfate reduction and CH4 production. The results showed a strong negative correlation between CH4 concentrations and initial SO42− levels (R2 = 0.83), indicating that higher initial SO42− concentrations led to lower final CH4 concentrations. This was attributed to the competition for cyanobacteria-supplied substrates between sulfate reduction bacteria (SRB) and methane production archaea (MPA). Our study highlights the importance of considering the unexpectedly increasing SO42− concentrations in eutrophic lakes when estimating global CH4 emission budgets.
