Stocking filter-feeder in fed fish aquaculture pond: Unexpected Aggravation of nitrous oxide emission

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-07-15 Epub Date: 2025-03-10 DOI:10.1016/j.watres.2025.123475
Jun-Nan Huang , Zhi-Qiang Liu , Bin Wen , Zhuo-Nan Wang , Jian-Zhong Gao , Zai-Zhong Chen
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Abstract

Intensive farming of fed fish could produce large amounts of uneaten feed and feces, potentially leading to increased nitrous oxide (N2O) emissions. Filter-feeding fish can ingest residual feed and feces, but it is unclear whether introducing them into fed fish farming ponds could reduce N2O emissions. This study employed monoculture of fed largemouth bass (Micropterus salmoides, LB) and polyculture of LB with filter-feeding silver carp (Hypophthalmichthys molitrix, SC) at density ratios of 18:1, 9:1 and 4.5:1 to compare the N2O emission characteristics. The results showed that silver carp could indeed feed on largemouth bass feces, and isotope mixing model indicated that feces was the second largest contributor to the food of silver carp, reaching 14.75 %-15.56 %. However, polyculture of the two species did not or even increased N2O emission flux at water-air interface and its release potential in sediment. Increased mineralization, nitrification and denitrification rates were observed in polyculture systems, particularly at high stocking densities of silver carp. Also, the higher NH4+ accumulation were found across sediment-water interface within polyculture systems. Metagenome revealed that polyculture disturbed the microbial community structure and increased the abundance of Burkholderiales and Steroidobacteraceae. Moreover, polyculture increased the abundance of nitrogen-cycling functional genes, including gdhA, hao, nirB and norB, potentially contributing to the elevated N2O emissions. Structural equation model highlighted that polyculture of largemouth bass and silver carp could drive N2O emissions, mainly through increased sedimental NH4+ concentration and microbial activity. These findings indicate that the introduction of extractive filter-feeding fish into fed fish farming ponds could not reduce N2O emissions, implying the need for optimized management strategies to balance aquaculture productivity with environmental sustainability.

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投喂鱼池投喂滤料:一氧化二氮排放的意外加剧
集约化养殖喂鱼可能产生大量未食用的饲料和粪便,可能导致一氧化二氮(N2O)排放增加。滤食性鱼类可以摄取残留的饲料和粪便,但目前尚不清楚将它们引入养鱼池是否可以减少一氧化二氮的排放。本研究采用饵料大口黑鲈(Micropterus salmoides, LB)单养殖和滤食性鲢鱼(Hypophthalmichthys molitrix, SC)在密度比为18:1、9:1和4.5:1的情况下混养大口黑鲈,比较N2O排放特性。结果表明,鲢鱼确实可以以大口黑鲈粪便为食,同位素混合模型表明,粪便是鲢鱼的第二大食物来源,占14.75% ~ 15.56%。但两种混养均未增加水-气界面N2O排放通量和沉积物中N2O释放势。在混养系统中观察到矿化、硝化和反硝化速率增加,特别是在鲢鱼的高放养密度下。在混养系统中,在沉积物-水界面处NH4+积累量较高。宏基因组分析结果显示,复合培养干扰了微生物群落结构,增加了Burkholderiales和Steroidobacteraceae的丰度。此外,混养增加了氮循环功能基因的丰度,包括gdhA、hao、nirB和norB,可能导致N2O排放量增加。结构方程模型显示,大口黑鲈和鲢鱼混养对N2O排放具有驱动作用,主要通过增加沉积物NH4+浓度和微生物活性来实现。这些结果表明,在饲料养鱼池中引入提取滤食性鱼不能减少N2O的排放,这意味着需要优化管理策略,以平衡水产养殖生产力和环境可持续性。
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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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