Overlooked drivers of the greenhouse effect: The nutrient-methane nexus mediated by submerged macrophytes

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2024-08-22 DOI:10.1016/j.watres.2024.122316
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Abstract

Submerged macrophytes remediation is a commonly used technique for improving water quality and restoring habitat in aquatic ecosystems. However, the drivers of success in the submerged macrophytes assembly process and their specific impacts on methane emissions are poorly understood. Thus, we conducted a mesocosm experiment to test the growth plasticity and carbon fixation of widespread submerged macrophytes (Vallisneria natans) under different nutrient conditions. A refined dynamic chamber method was utilized to concurrently collect and quantify methane emission fluxes arising from ebullition and diffusion processes. Significant correlations were found between methane flux and variations in the physiological activities of V. nantas by the fluorescence imaging system. Our results show that exceeding tolerance thresholds of ammonia in the water significantly interfered with the photosynthetic systems in submerged leaves and the radial oxygen loss in adventitious roots. The recovery process of V. natans accelerated the consumption of dissolved oxygen, leading to increase in the populations of methanogen (153.3 % increase of mcrA genes) and subsequently elevating CH4 emission fluxes (23.7 %) under high nutrient concentrations. Conversely, V. natans increased the available organic carbon under low nutrient conditions by radial oxygen loss, further increasing CH4 emission fluxes (94.7 %). Quantitative genetic and modeling analyses revealed that plant restoration processes drive ecological niche differentiation of methanogenic and methane oxidation microorganisms, affecting methane release fluxes within the restored area. The speciation process of V. natans is incapable of simultaneously meeting improved water purification and reduced methane emissions goals.

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被忽视的温室效应驱动因素:由沉水大型藻类介导的营养物质与甲烷之间的关系
沉水大型藻类修复是改善水质和恢复水生生态系统生境的常用技术。然而,人们对沉水大型底栖生物集结过程的成功驱动因素及其对甲烷排放的具体影响知之甚少。因此,我们进行了一个中型宇宙实验,以测试广泛沉水大型植物()在不同营养条件下的生长可塑性和碳固定。我们采用了一种改进的动态室方法,同时收集和量化沸腾和扩散过程产生的甲烷排放通量。研究发现,甲烷通量与荧光成像系统的生理活动变化之间存在显著的相关性。我们的研究结果表明,超过水中氨的耐受阈值会严重干扰沉水叶片的光合系统和不定根的径向氧损失。恢复过程加速了溶解氧的消耗,导致甲烷菌数量增加(基因增加了 153.3%),进而提高了高营养浓度下的甲烷排放通量(23.7%)。相反,在低营养条件下,由于径向氧损失,可用有机碳增加,进一步提高了甲烷排放通量(94.7%)。定量遗传和建模分析表明,植物恢复过程推动了产甲烷微生物和甲烷氧化微生物的生态位分化,影响了恢复区域内的甲烷释放通量。这种分化过程无法同时实现改善水质净化和减少甲烷排放的目标。
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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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