利用高分辨率质谱和生态模型定量富营养化过程中溶解有机质池的组装过程

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Guan-Lin Chen, Chen Qian, Meng Du, Min-Jie Tong, Jie-Jie Chen, Han-Qing Yu
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引用次数: 0

摘要

溶解有机质(DOM)是一个巨大的、动态的碳库,通过其持续的运输和转化在富营养化水生生态系统中起着至关重要的作用。然而,DOM在不同富营养化条件下的组装机制尚不清楚,这阻碍了对碳动力学的理解和碳命运的预测。本研究采集了中国第五大淡水湖巢湖2次采样的72个湖水样,采用高分辨率质谱(HRMS)和生态零模型对富营养化过程中DOM的组装过程进行了定量分析。结果表明,随着富营养化水平的增加,同质选择的相对贡献增大,而变量选择和扩散限制的相对贡献减小。不同装配工艺对不同站点DOM池的影响,虽然仅由HRMS数据估算,但与时空变化表现出合理的一致性。几种环境参数,包括总磷、赛奇盘深度、营养状态指数、pH、温度和荧光指数,与一个或多个DOM组装过程显著相关(p <;0.05),装配机制也决定了DOM的复合组成。我们的研究结果揭示了DOM在富营养化过程中从变量选择到均匀选择的转变,突出了DOM动力学和环境均匀化在富营养化湖泊管理和恢复中的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Quantifying assembly processes of dissolved organic matter pools in eutrophication using high-resolution mass spectrometry and ecological models

Quantifying assembly processes of dissolved organic matter pools in eutrophication using high-resolution mass spectrometry and ecological models
Dissolved organic matter (DOM) represents a large, dynamic pool of carbon, playing a crucial role in eutrophic aquatic ecosystems through its continuous transport and transformation. However, the assembly mechanisms of DOM under different eutrophic conditions remain elusive, hindering the understanding of carbon dynamics and the prediction of carbon fate. Here we collected 72 lake water samples during two sampling events in Chaohu Lake, the fifth largest freshwater lake in China, and performed high-resolution mass spectrometry (HRMS) and ecological null modeling to quantify the assembly processes of DOM in eutrophication. We found that as eutrophic levels increased, the relative contribution of homogeneous selection rose, while the contributions of variable selection and dispersal limitation decreased. The influence of different assembly processes on the DOM pool across sites, although estimated solely from HRMS data, exhibited reasonable consistency with the spatiotemporal variations. Several environmental parameters, including total phosphorus, Secchi disk depth, trophic state index, pH, temperature, and fluorescence index, were significantly correlated with one or more DOM assembly processes (p < 0.05), and assembly mechanisms also shaped the compound composition of DOM. Our findings reveal a shift in DOM assembly from variable selection to homogeneous selection in eutrophication, highlighting the importance of DOM dynamics and environmental homogenization in the management and restoration of eutrophic lakes.
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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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