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首页> 外文期刊>Aquaculture Research >Effect of organic nitrogen and carbon mineralization on sedimentorganic matter accumulation in fish ponds
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Effect of organic nitrogen and carbon mineralization on sedimentorganic matter accumulation in fish ponds

机译:有机氮和碳矿化对鱼池沉积物中有机物积累的影响

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In aquaculture, ponds with high loads of organic inputs, organic matter accumulates at the bottom over time. Uneaten feed, senescent phytoplankton and faeces are the principal sources of accumulated material, but quantifications are scarce. The sedimented organic matter develops into a flocculent layer in which different processes transform the material into inorganic forms. A better understanding of factors influencing organic matter accumulation-decomposition in the sediment is needed to better understand and manage the dynamics of nitrogen in fish ponds. In this study, the rate of mineralization of organic nitrogen and the nitrogen flux between the sediment and the water column were measured. Organic matter accumulation in fish ponds was quantified, and the data were used to construct, calibrate and validate a dynamic simulation model of organic matter deposition-decomposition in fish ponds. The accumulating material consisted of dead phytoplankton, fish faeces and uneaten feed. Through model calibration, the proportion of these materials in the total accumulated organic matter was determined. In the model, gross photosynthetic rate was estimated from an empirical relationship with feed input. After calibration, the model was validated using independent data. The model simulated well the concentrations of organic carbon and nitrogen in the sediments but it may be developed further, especially by considering the effects of resuspension.
机译:在水产养殖中,有大量有机物投入的池塘,有机物会随着时间的推移积聚在底部。未进食的饲料,衰老的浮游植物和粪便是累积物质的主要来源,但缺乏量化。沉积的有机物发展成絮凝层,其中不同的过程将物质转化为无机形式。需要更好地了解影响沉积物中有机物堆积-分解的因素,以便更好地了解和管理鱼池中氮的动态。在这项研究中,测量了有机氮的矿化速率和沉积物与水柱之间的氮通量。量化了鱼塘中有机物的积累,并使用这些数据来构建,校准和验证鱼塘中有机物沉积-分解的动态模拟模型。积累的物质包括死去的浮游植物,鱼粪和未食用的饲料。通过模型校准,确定了这些材料在总累积有机物中的比例。在该模型中,通过与饲料输入的经验关系来估算总光合作用速率。校准后,使用独立数据验证模型。该模型很好地模拟了沉积物中有机碳和氮的浓度,但可以进一步发展,特别是考虑到重悬浮的影响。

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