Quantifying the combined nutrient enrichment, pathogenic, and ecotoxicological impacts of livestock farming on UK rivers

量化畜牧业对英国河流的综合营养富集、致病和生态毒理学影响

基本信息

  • 批准号:
    NE/X015815/1
  • 负责人:
  • 金额:
    $ 35.77万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2022
  • 资助国家:
    英国
  • 起止时间:
    2022 至 无数据
  • 项目状态:
    未结题

项目摘要

Livestock farming is the dominant farming type and source of organic matter pollution in UK freshwaters, with over 9.65M cattle and 32.7M sheep on 10M hectares of grassland, representing 57% of all agricultural land in the UK. When organic matter from livestock excreta is flushed to waters it drives changes in their physical, chemical and ecological quality and function. These include changes to the turbidity (and therefore light penetration), conductivity, benthic substrate character and oxygen regimes of the receiving waterbody, the delivery of agrochemicals including anti-microbial (antibacterial, antifungal, antiparasitic and antihelminth agents) and hormone compounds, both natural and derived from veterinary pharmaceutical use, all of which are likely to drive ecotoxicological impacts in receiving waters. They also contain nutrient-rich dissolved and particulate organic matter likely to drive eutrophication impacts in freshwater ecosystems, while also presenting a significant challenge for waters abstracted for human consumption. Pathogens, including bacteria and viruses, add to this portfolio of stressors, presenting a persistent problem for recreational water use, fisheries and shellfisheries in livestock farming areas. These stressors are likely to be present in most livestock excreta, but the extent to which different production systems and manure handling practices remove or reduce their concentration prior to their transfer to freshwaters is poorly understood. Nor do we understand the impact of the environmental character of the receiving waterbody on these ecotoxicological and nutrient enrichment impacts and pathogen persistence. Climate change-induced increases in water temperature and alterations in flow regime may then accelerate biological processing of this material, while the increased frequency of rainfall events predicted for the UK may overwhelm on-farm storage capacity, confounding efforts to reduce livestock impacts on freshwaters. There is thus an urgent need to understand interactions between these stressors, environment and management in driving changes in UK freshwater quality.QUANTUM will address this substantial knowledge gap, allowing us to better understand livestock farming as a key driver of changing UK quality in the livestock-dominated catchments of Wales, Scotland and Northern Ireland, and throughout the north and west of England. This new knowledge will help us create models that can better predict how UK freshwater quality functions in the presence of these multiple stressors, and how it is likely to change in future in response to climate change and mitigation efforts.We will achieve this by:1. Developing evidence on the composition of livestock excreta, how this varies according to manure handling and management, and their chemical and microbiological persistence in freshwaters, which will provide a new framework to define and contextualise pressures they exert on UK freshwaters.2. Exploring how different freshwater biota respond to this portfolio of stressors, allowing us to develop a predictive understanding of likely ecosystem responses to livestock management practices across the UK.3. Understanding how livestock excreta perturb the state of freshwater ecosystems, and how the multiple stressors in these fluxes interact with each other and environmental character, which is essential if we are to understand how these freshwater communities assemble, function and respond to changing livestock farming practices, under current, mitigated and climatically-altered conditions.4. Identifying the livestock production practices and management approaches likely to generate the lowest possible impacts on freshwater chemistry and ecosystems, which will provide critical underpinning for the developing policy and practice by our project partners, to minimise livestock farming impacts on UK freshwaters under ambient and changing climate.
畜牧业是英国淡水中主要的农业类型和有机物污染源,在1000万公顷的草地上有超过965万头牛和3270万只羊,占英国所有农业用地的57%。当牲畜排泄物中的有机物被冲入沃茨时,它会导致水体的物理、化学和生态质量和功能发生变化。这些变化包括受纳水体的浊度(因此也包括光穿透性)、传导性、底栖基质特性和氧气状况的变化,农用化学品的投放,包括天然的和从兽药用途中提取的抗微生物剂(抗菌剂、抗真菌剂、抗寄生虫剂和驱虫剂)和激素化合物,所有这些都可能对受纳沃茨产生生态毒理学影响。它们还含有营养丰富的溶解有机物和颗粒有机物,可能会对淡水生态系统造成富营养化影响,同时也对抽取供人类消费的沃茨构成重大挑战。病原体,包括细菌和病毒,增加了这一组合的压力,提出了一个长期存在的问题,娱乐用水,渔业和贝类养殖区的畜牧业。这些压力源可能存在于大多数牲畜排泄物中,但在不同的生产系统和粪便处理方法将其转移到淡水之前,其去除或降低浓度的程度却知之甚少。我们也不了解受纳水体的环境特征对这些生态毒理学和营养富集影响以及病原体持久性的影响。气候变化引起的水温升高和水流状态的改变可能会加速这种材料的生物处理,而英国预测的降雨事件频率的增加可能会超过农场的存储能力,混淆减少牲畜对淡水影响的努力。因此,迫切需要了解这些压力源,环境和管理之间的相互作用,推动英国淡水质量的变化。QUANTUM将解决这一重大知识差距,使我们能够更好地了解畜牧业作为改变英国质量的关键驱动力,在威尔士,苏格兰和北方爱尔兰以畜牧业为主的集水区,以及整个英格兰北部和西部。这些新的知识将帮助我们创建模型,可以更好地预测英国淡水质量如何在这些多重压力源的存在下发挥作用,以及它在未来如何应对气候变化和减缓努力。我们将通过以下方式实现这一目标:1.发展牲畜排泄物组成的证据,这如何根据粪便处理和管理而变化,以及它们在淡水中的化学和微生物持久性,这将提供一个新的框架来定义它们对英国淡水施加的压力。探索不同的淡水生物群如何应对这一压力因素组合,使我们能够对英国各地畜牧业管理实践的可能生态系统反应进行预测性理解。了解牲畜排泄物如何扰乱淡水生态系统的状态,以及这些通量中的多种压力源如何相互作用和环境特征,如果我们要了解这些淡水社区如何在当前,缓解和气候变化的条件下组装,功能和应对不断变化的畜牧业实践,这是必不可少的。确定可能对淡水化学和生态系统产生最低影响的畜牧生产实践和管理方法,这将为我们的项目合作伙伴制定政策和实践提供关键基础,以最大限度地减少环境和气候变化对英国淡水的影响。

项目成果

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Charles Tyler其他文献

Development of a quantitative enzyme-linked immunosorbent assay for vitellin in the mysid <em>Neomysis integer</em> (Crustacea: Mysidacea)
  • DOI:
    10.1016/j.cbpa.2005.07.006
  • 发表时间:
    2005-09-01
  • 期刊:
  • 影响因子:
  • 作者:
    An Ghekiere;Martina Fenske;Tim Verslycke;Charles Tyler;Colin Janssen
  • 通讯作者:
    Colin Janssen

Charles Tyler的其他文献

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{{ truncateString('Charles Tyler', 18)}}的其他基金

Establishing the roles of oestrogen receptor 1 (ESR1) in olfactory development and function using novel CRISPR/Cas9-based knockouts in the zebrafish
使用基于 CRISPR/Cas9 的新型斑马鱼基因敲除技术确定雌激素受体 1 (ESR1) 在嗅觉发育和功能中的作用
  • 批准号:
    BB/Y00003X/1
  • 财政年份:
    2024
  • 资助金额:
    $ 35.77万
  • 项目类别:
    Research Grant
Developing novel models to understand threats from Vibrio pathogens for safeguarding aquatic food supply under future climates
开发新模型来了解弧菌病原体的威胁,以保障未来气候下的水产食品供应
  • 批准号:
    NE/X010333/1
  • 财政年份:
    2023
  • 资助金额:
    $ 35.77万
  • 项目类别:
    Research Grant
Advancing understanding of anaesthesia and analgesia in the zebrafish
增进对斑马鱼麻醉和镇痛的了解
  • 批准号:
    BB/V000411/1
  • 财政年份:
    2021
  • 资助金额:
    $ 35.77万
  • 项目类别:
    Research Grant
Improving hatchery biosecurity for a sustainable shrimp industry in Bangladesh
改善孟加拉国孵化场生物安全,实现可持续养虾业
  • 批准号:
    BB/T012579/1
  • 财政年份:
    2020
  • 资助金额:
    $ 35.77万
  • 项目类别:
    Research Grant
ROBUST-SMOLT: Impact of early life history in freshwater recirculation aquaculture systems on salmon robustness and susceptibility to disease at sea.
ROBUST-SMOLT:淡水循环水产养殖系统的早期生活史对海上鲑鱼的稳健性和疾病易感性的影响。
  • 批准号:
    BB/S004122/1
  • 财政年份:
    2019
  • 资助金额:
    $ 35.77万
  • 项目类别:
    Research Grant
Japan Partnering Award -Engineering novel transgenic zebrafish with CRISPR/Cas9 technology
日本合作奖-利用 CRISPR/Cas9 技术工程改造新型转基因斑马鱼
  • 批准号:
    BB/P025528/1
  • 财政年份:
    2017
  • 资助金额:
    $ 35.77万
  • 项目类别:
    Research Grant
Novel Molecular Approaches for Advancing Prediction and Mitigation of Disease Outbreaks in Aquaculture for Small Scale Farmers
促进小规模养殖户水产养殖疾病暴发预测和缓解的新型分子方法
  • 批准号:
    BB/N00504X/1
  • 财政年份:
    2016
  • 资助金额:
    $ 35.77万
  • 项目类别:
    Research Grant
Metal/Metal Oxide Nanomaterials and Oxidative Stress- Are there Harmful Health Effects in Fish for Environmental Exposures?
金属/金属氧化物纳米材料和氧化应激 - 鱼类暴露于环境中是否会对健康产生有害影响?
  • 批准号:
    NE/L007371/1
  • 财政年份:
    2014
  • 资助金额:
    $ 35.77万
  • 项目类别:
    Research Grant
Functional role(s) of oestrogen signalling on neuronal progenitor cell development and fate in the brain
雌激素信号对大脑神经祖细胞发育和命运的功能作用
  • 批准号:
    BB/L020637/1
  • 财政年份:
    2014
  • 资助金额:
    $ 35.77万
  • 项目类别:
    Research Grant
Can roach, Rutilus rutilus, adapt to the harmful effects of oestrogen exposure from waste water treatment work effluents?
蟑螂(Rutilus rut​​ilus)能否适应废水处理工作废水中雌激素暴露的有害影响?
  • 批准号:
    NE/K004263/1
  • 财政年份:
    2013
  • 资助金额:
    $ 35.77万
  • 项目类别:
    Research Grant

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“合金标准”下测量误差校正模型及其在体育运动数据中的应用
  • 批准号:
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  • 批准年份:
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