Conversion of coastal marsh to aquaculture ponds decreased the potential of methane production by altering soil chemical properties and methanogenic archaea community structure

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2024-10-10 DOI:10.1016/j.watres.2024.122608
Miaoying Wang, Josep Peñuelas, Jordi Sardans, Qingsong Zeng, Zhaoliang Song, Jingyun Zhou, Xuping Xu, Xiaoqi Zhou, Yunying Fang, Tony Vancov, Weiqi Wang
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Abstract

Coastal wetlands are among the most productive and dynamic ecosystems globally, contributing significantly to atmospheric methane (CH4) emissions. The widespread conversion of these wetlands into aquaculture ponds degrades these ecosystems, yet its effects on CH4 production and associated microbial mechanisms are not well understood. This study aimed to assess the impact of land conversion on CH4 production potential, total and active soil organic C (SOC) content, and microbial communities. We conducted a comparative study on three brackish marshes and adjacent aquaculture ponds in southeastern China. Compared to costal marshes, aquaculture ponds exhibited significantly (P < 0.05) lower CH4 production potential (0.05 vs. 0.02 μg kg−1 h−1), SOC (17.64 vs. 6.97 g kg−1), total nitrogen (TN) content (1.62 vs. 1.24 g kg−1) and carbon/nitrogen (C/N) ratio (10.85 vs. 5.66). CH4 production potential in aquaculture ponds was influenced by both microbial and abiotic factors. Specifically, the relative abundance of Methanosarcina slightly decreased in aquaculture ponds, while the potential for CH4 production declined with lower SOC contents and C/N ratio. Overall, our findings demonstrate that converting natural coastal marshes into aquaculture ponds reduces CH4 production by altering key soil properties and the structure and diversity of methanogenic archaea communities. These results provide empirical evidence to enhance global carbon models, improving predictions of carbon feedback from wetland land conversion in the context of climate change.

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将沿海沼泽改建为水产养殖池塘,通过改变土壤化学性质和产甲烷古细菌群落结构来降低甲烷生产潜力
沿海湿地是全球最具生产力和活力的生态系统之一,对大气中甲烷(CH4)的排放贡献巨大。将这些湿地广泛改造成水产养殖池塘会使这些生态系统退化,但人们对其对 CH4 产量和相关微生物机制的影响还不甚了解。本研究旨在评估土地转换对 CH4 生产潜力、土壤有机碳(SOC)总含量和活性碳含量以及微生物群落的影响。我们对中国东南部的三个咸水沼泽和相邻的水产养殖池塘进行了比较研究。与沿海沼泽地相比,水产养殖池塘的 CH4 生产潜力(0.05 vs. 0.02 μg kg-1 h-1)、SOC(17.64 vs. 6.97 g kg-1)、总氮(TN)含量(1.62 vs. 1.24 g kg-1)和碳/氮(C/N)比(10.85 vs. 5.66)均显著低于沿海沼泽地(P < 0.05)。水产养殖池塘的 CH4 生产潜力受微生物和非生物因素的影响。具体而言,水产养殖池塘中甲烷藻的相对丰度略有下降,而随着 SOC 含量和 C/N 比值的降低,CH4 生产潜力也有所下降。总之,我们的研究结果表明,将天然沿海沼泽地改造成水产养殖池塘会改变土壤的主要性质以及产甲烷古细菌群落的结构和多样性,从而减少甲烷的产生。这些结果为改进全球碳模型提供了经验证据,从而提高了对气候变化背景下湿地土地转换产生的碳反馈的预测。
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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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