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微藻作为一种天然生态生物指标,可用于简单实时监测水产养殖废水中的水质,包括评估气候变化极端变化影响的方法——来自爱尔兰共和国的对比案例研究。

Microalgae as a natural ecological bioindicator for the simple real-time monitoring of aquaculture wastewater quality including provision for assessing impact of extremes in climate variance - A comparative case study from the Republic of Ireland.

机构信息

Bioscience Research Institute, Athlone Institute of Technology, Dublin Road, Athlone, Co. Westmeath, Ireland; Empower Eco Sustainability Hub, Boora, Co. Offaly, Ireland.

Bioscience Research Institute, Athlone Institute of Technology, Dublin Road, Athlone, Co. Westmeath, Ireland; Empower Eco Sustainability Hub, Boora, Co. Offaly, Ireland.

出版信息

Sci Total Environ. 2022 Jan 1;802:149800. doi: 10.1016/j.scitotenv.2021.149800. Epub 2021 Aug 26.

Abstract

Aquaculture is one of the fastest growing food producing industries globally, providing ~50% of fish for human consumption. However, the rapid growth of aquaculture presents a range of challenges including balancing environmental impact that can be influenced by variations in climatic conditions. Monitoring of physicochemical parameters is traditionally used to evaluate aquaculture output quality; however, this approach does not indicate the cumulative ecotoxicological effects on receiving waters. Specifically, this case study investigated the relationship between measuring traditional physicochemical parameters and the health of the alga Pseudokirchneriella subcapitata in order to evaluate the potential ecotoxicological effects of freshwater aquaculture on the receiving aquatic ecosystem in the Irish midlands. This constituted the first 2-year longitudinal study conducted in 2018 and 2019 that reports on the efficacy of using algae as a natural bioindicator to monitor and assess freshwater aquaculture wastewater from a traditional flow-through fish farm producing Eurasian Perch (Perca fluviatilis); monitoring was compared over a same six-month period in the same location each year. Findings demonstrated significant differences between the two monitoring periods when using P. subcapitata for assessing the quality of aquaculture intake (P = 0.030) and output (P = 0.039). No stimulatory effects were observed during 2019 unlike >50% rates experienced the previous year. These observations coincided with changes in climatic conditions whereby the 2018 period experienced extended levels of drought; whereas non-drought conditions were observed during 2019. Findings suggest that reliance upon traditional monitoring techniques may not provide sufficient robustness or versatility to address emerging issues, such as extremes in climate variance, which may influence the future intensive sustainability of freshwater aquaculture. This research supports the complementary use of P. subcapitata as a rapid and simple early-warning bioindicator for measuring aquaculture output quality on receiving aquatic ecosystems.

摘要

水产养殖是全球发展最快的食品生产行业之一,为人类提供约 50%的鱼类消费。然而,水产养殖业的快速发展带来了一系列挑战,包括平衡环境影响,而这种影响可能受到气候条件变化的影响。传统上,监测物理化学参数用于评估水产养殖的产出质量;然而,这种方法并不能指示对接收水域的累积生态毒理学影响。具体来说,本案例研究调查了测量传统物理化学参数与藻类 Pseudokirchneriella subcapitata 健康之间的关系,以评估淡水水产养殖对爱尔兰中部接收水生生态系统的潜在生态毒理学影响。这是 2018 年和 2019 年进行的首次为期两年的纵向研究,报告了使用藻类作为天然生物指示剂来监测和评估来自传统流水式鱼类养殖场的淡水水产养殖废水的功效,该养殖场生产欧亚鲈鱼(Perca fluviatilis);每年在同一地点监测相同的六个月。研究结果表明,使用 P. subcapitata 评估水产养殖进水(P = 0.030)和出水(P = 0.039)质量时,两个监测期之间存在显著差异。与前一年相比,2019 年没有观察到刺激作用。这些观察结果与气候条件的变化相吻合,2018 年经历了长时间的干旱;而 2019 年则没有干旱。研究结果表明,仅依靠传统监测技术可能无法提供足够的稳健性或多功能性来解决新出现的问题,例如气候变异极端情况,这可能会影响未来淡水水产养殖的集约化可持续性。本研究支持将 P. subcapitata 作为一种快速简便的早期预警生物指示剂,用于测量接收水生生态系统中的水产养殖产出质量。

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