Comprehensive analysis of greenhouse gases emissions and microbial dynamics in glacier-fed lakes across various ablation stages

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Shuang Liu , Fuyuan Mai , Meiqi Huang , Qing Yang , Xiaodong Li , Guangli Mu , Bingya Zhang , Linyuan Lu , Yu Pang , Ding He , Qianggong Zhang , Yiwen Liu , Yindong Tong
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引用次数: 0

Abstract

Glacier melting, a direct consequence of global climate change, significantly influences lake ecosystem structures and greenhouse gases (GHGs) emission in the glacier-fed lake. As glaciers release substantial meltwater containing nitrogen and carbon into lakes, microbial communities and their GHGs emissions could also evolve accordingly. So far, studies on seasonal and diel GHGs emission characteristics and their driving mechanism at high-altitude (> 5000 m) glacier-fed lakes remains relatively constrained. This study has focused on the Lhasa Valley Glacier, a typical continental-type glacier on the Tibetan Plateau, to explore the GHGs characteristics in the three newly formed glacier-fed lakes during distinct periods of glacier melting (i.e., initial ablation, peak ablation and end of ablation stage). A combination of techniques including multi-point continuous sampling, physicochemical characteristic analysis, 16S rRNA sequencing, and machine learning models had been utilized. Our results indicated that the annual average CH4, N2O, and CO2 emission rates were 0.76±1.00, 0.02±0.08, and -5.19±50.16 mmol·m-2·d-1, respectively, demonstrating that glacier-fed lakes were significant CH4 and N2O source to the atmosphere. We found substantial seasonal variation of GHGs emissions from lakes, particularly for CH4, with the maximum fluxes 104 times as high as the minimum value. Diurnal monitoring showed that GHGs emission were primarily concentrated during the daytime. Based on the 16S RNA sequencing results, we also observed seasonal variation of the microbial communities and their roles in driving GHGs emissions. Using Partial Least Squares Path Modeling, we further quantified complex relations among GHGs emissions, microorganism communities, and environmental factors. We found that the impact of microorganisms on GHGs emission could be further regulated by environmental factors such as water temperature and NO3--N. The Tibetan Plateau plays a critical role in global climate system. This study characterizes the GHGs emissions in glacier-fed lakes that has been less considered. Characterizing the GHGs emissions from this region could provide insights into how emissions contribute to global warming and climate change.

Abstract Image

不同消融阶段冰川湖泊温室气体排放和微生物动态的综合分析
冰川融化是全球气候变化的直接后果,对湖泊生态系统结构和温室气体排放产生重大影响。随着冰川将含有氮和碳的大量融水释放到湖泊中,微生物群落及其温室气体排放也可能随之演变。到目前为止,高原季节和昼夜温室气体排放特征及其驱动机制的研究(>;5000米高的冰川湖泊仍然相对受限。本文以青藏高原典型的陆相冰川拉萨河谷冰川为研究对象,探讨了冰川消融初期、消融高峰和消融末期三个不同时期新形成的冰川供水湖的温室气体特征。采用了多点连续采样、理化特征分析、16S rRNA测序和机器学习模型等技术。结果表明,年平均CH4、N2O和CO2排放率分别为0.76±1.00、0.02±0.08和-5.19±50.16 mmol·m-2·d-1,表明冰川湖泊是大气中重要的CH4和N2O源。湖泊温室气体特别是CH4的排放存在显著的季节变化,最大通量是最小通量的104倍。日监测结果表明,温室气体排放主要集中在白天。基于16S RNA测序结果,我们还观察了微生物群落的季节变化及其对温室气体排放的驱动作用。利用偏最小二乘路径模型,进一步量化了温室气体排放、微生物群落和环境因子之间的复杂关系。研究发现,微生物对温室气体排放的影响可进一步受到水温和NO3—N等环境因子的调节。青藏高原在全球气候系统中起着至关重要的作用。这项研究描述了冰川湖泊的温室气体排放特征,而这一点很少被考虑到。表征该地区的温室气体排放可以帮助我们了解排放是如何导致全球变暖和气候变化的。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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