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不同消融阶段冰川补给湖泊温室气体排放与微生物动态的综合分析

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

作者信息

Liu Shuang, Mai Fuyuan, Huang Meiqi, Yang Qing, Li Xiaodong, Mu Guangli, Zhang Bingya, Lu Linyuan, Pang Yu, He Ding, Zhang Qianggong, Liu Yiwen, Tong Yindong

机构信息

School of Ecology and Environment, Tibet University, Lhasa 850000, China.

School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China.

出版信息

Water Res. 2025 Jun 20;285:124064. doi: 10.1016/j.watres.2025.124064.

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 CH, NO, and CO emission rates were 0.76±1.00, 0.02±0.08, and -5.19±50.16 mmol·m·d, respectively, demonstrating that glacier-fed lakes were significant CH and NO source to the atmosphere. We found substantial seasonal variation of GHGs emissions from lakes, particularly for CH, 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 NO-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.

摘要

冰川融化是全球气候变化的直接后果,对冰川补给湖泊的生态系统结构和温室气体(GHGs)排放有重大影响。由于冰川向湖泊释放大量含氮和碳的融水,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,关于高海拔(>5000米)冰川补给湖泊的季节性和昼夜温室气体排放特征及其驱动机制的研究仍然相对有限。本研究聚焦于青藏高原典型的大陆型冰川——拉萨山谷冰川,以探索在冰川融化的不同时期(即初始消融、消融高峰期和消融末期)三个新形成的冰川补给湖泊中的温室气体特征。采用了包括多点连续采样、理化特性分析、16S rRNA测序和机器学习模型在内的多种技术组合。我们的结果表明,CH、NO和CO的年平均排放速率分别为0.76±1.00、0.02±0.08和-5.19±50.16 mmol·m·d,表明冰川补给湖泊是大气中CH和NO的重要来源。我们发现湖泊温室气体排放存在显著的季节性变化,特别是CH,其最大通量是最小值的104倍。昼夜监测表明,温室气体排放主要集中在白天。基于16S RNA测序结果,我们还观察到微生物群落的季节性变化及其在驱动温室气体排放中的作用。使用偏最小二乘路径模型,我们进一步量化了温室气体排放、微生物群落和环境因素之间的复杂关系。我们发现,微生物对温室气体排放的影响可能会受到水温、NO-N等环境因素的进一步调节。青藏高原在全球气候系统中起着关键作用。本研究描述了较少被考虑的冰川补给湖泊中的温室气体排放情况。表征该地区的温室气体排放情况可以深入了解排放如何导致全球变暖和气候变化。

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