Unraveling the mechanism of greenhouse gas emissions during allelochemical-triggered inhibition of cyanobacteria recovery

IF 11.4 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research Pub Date : 2025-06-01 DOI:10.1016/j.watres.2025.123943

Yushen Ma, Xiaoming Zhu, Hui Chen, Lixiao Ni, Cunhao Du, Chu Xu, Jiahui Shi, Yiping Li, Shiyin Li

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引用次数: 0

Abstract

Climate change amplifies cyanobacterial blooms, creating a feedback loop between warming and bloom intensity. This dynamic emphasizes the need to address greenhouse gas (GHG) emissions during in-situ cyanobacterial control, minimizing algicides use and its long-term climatic impacts. However, research on the dose-response of algicides on GHG emissions is limited. This study investigated the dose-dependent effects of artemisinin sustained-release algicides (ASAs) on GHG emissions and microbial dynamics during cyanobacteria recovery prevention. Microcosm experiments revealed that ASAs dosage reshaped the carbonate system, lowering pH and increasing DOC and C/N ratio, promoting short-term CO₂ emissions. Microbial diversity decreased with higher ASAs dosage, and Proteobacteria replaced Cyanobacteria as the dominant group. The formate metabolic pathway, which produces CO₂, was strengthened, while CH₄ oxidation was weakened. The abundance of genera such as Curvibacter, Burkholderiales, and Acetobacterales increased, correlating with enhanced carbon and nitrogen metabolism, while CH₄-oxidizing genera like Methylobacterium and Methylorubrum showed reduced abundance, associated with weakened CH₄ metabolism. Co-occurrence networks emphasized that the ASAs gradient indirectly affected dominant microbes and carbon-nitrogen metabolism by altering water chemistry. ASAs exacerbated GHG emissions by coupling environmental changes with microbial metabolism. Our findings provide a theoretical basis for using lower ASAs dose during cyanobacteria recovery prevention and underscore the importance of considering biogeochemical cycles and ecosystem impacts in cyanobacterial control.

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揭示化感化学触发的蓝藻恢复抑制过程中温室气体排放的机制

气候变化放大了蓝藻的繁殖，在变暖和繁殖强度之间形成了一个反馈循环。这种动态强调需要解决温室气体（GHG）排放在现场蓝藻控制，最大限度地减少杀藻剂的使用及其长期气候影响。然而，关于杀藻剂对温室气体排放的剂量效应研究有限。本研究考察了青蒿素缓释杀藻剂（ASAs）在蓝藻恢复预防过程中对温室气体排放和微生物动力学的剂量依赖性效应。微观实验表明，asa的加入重塑了碳酸盐体系，降低了pH值，增加了DOC和C/N比，促进了短期CO₂的排放。随着asa用量的增加，微生物多样性降低，变形菌取代蓝藻菌成为优势菌群。生成CO₂的甲酸代谢途径增强，而CH₄氧化作用减弱。Curvibacter、Burkholderiales和Acetobacterales等属的丰度增加，与碳氮代谢增强有关，而甲基细菌（Methylobacterium）和甲基lorubrum等CH₄氧化属的丰度降低，与CH₄代谢减弱有关。共生网络强调asa梯度通过改变水化学间接影响优势微生物和碳氮代谢。asa通过耦合环境变化和微生物代谢加剧温室气体排放。我们的研究结果为在蓝藻恢复预防中使用较低的asa剂量提供了理论依据，并强调了在蓝藻控制中考虑生物地球化学循环和生态系统影响的重要性。

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来源期刊

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.