Visualising Pathogen & Environmental Risk: transition to a user-ready toolkit (ViPER II)
Visualising Pathogen & Environmental Risk: transition to a user-ready toolkit (ViPER II)
批准号:
NE/P016332/1
负责人:
David Oliver
金额:
$12.85万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --
中文摘要
农业实践通过放牧牲畜的直接排便以及固体和液体肥料的施用,向牧场贡献了大量的粪便物质。为了最大限度地减少粪便微生物(如大肠杆菌)的比例,对这种粪便负荷在空间和时间上的输入进行管理是很重要的,大肠杆菌可能从粪便源中被冲洗出来,并在降雨后通过径流转移到附近的水道。被污染的径流会导致微生物污染我们的溪流、河流和海洋。因此,科学家、环境管理者、流域管理者和政策制定者都渴望了解大肠杆菌是如何在环境中生存和移动的,他们认为,更好地了解这些微生物的行为特征和数据,将提高我们建模和预测它们与我们周围世界的相互作用和反应的能力。nerc资助的项目ReMOFIO (NE/J004456/1)开发了一个这样的模型,以提高我们对景观中微生物风险的大小和空间分布的理解。由此产生的ReMOFIO模型根据牲畜数量、耕作方式和大肠杆菌在环境条件下(例如降雨和温度波动)的生存模式,预测农业用地上的微生物风险水平。虽然这个模型结构简单,但它的操作和功能最初并不是为了让那些从它的使用中获益最多的人最大限度地吸收而设计的。作为回应,最初的ViPER项目采用了一种参与式方法,将一系列利益相关者(监管机构、流域管理者、科学家和农场网络)聚集在一起,促进参与、审议和共同决策。通过结构化的知识交换过程,项目团队开发了一个名为ViPER的免费可用的原型决策支持工具(DST)。ViPER DST提供了一个用户友好的界面,允许没有特定建模技能或建模系统知识的最终用户利用现有的NERC科学和建模能力(例如ReMOFIO模型)来了解大肠杆菌风险在农业土地上积聚的方式,时间和地点。然而,以目前的形式,ViPER无法评估农业用地上的大肠杆菌来源中有多少会在降雨后最终进入河流和溪流。作为回应,ViPER II的目标是现在将我们的原型DST转变为一个用户准备好的工具包,为现实世界中的农场提供建议和指导。DST可以绘制出田间、农场和流域规模的大肠杆菌风险。为此,我们将把ViPER DST与另一个可免费获得的nerc资助的水文风险测绘工具SCIMAP (NE/C508850/1)结合起来。SCIMAP旨在确定景观中沉积物和营养物污染物的来源,重要的是,它绘制了径流如何将沉积物和营养物转移到土壤表面并进入水道的地图。然而,SCIMAP目前还没有绘制出景观中的微生物风险图,因为与沉积物和营养物质不同,大肠杆菌等细菌适应复杂的生命周期,并会随着时间的推移而死亡。相比之下,ViPER能够解释大肠杆菌的死亡,但缺乏预测大肠杆菌随径流转移的能力。现在有机会整合nerc资助的两个产出(ViPER和SCIMAP),提供一个创新的DST,用于绘制集水区系统中的微生物污染风险,并产生一个大于其单个部分总和的DST。由此产生的工具包将为基于陆地的微生物风险评估提供附加价值,并为英国(及更远的地方)的环境监管机构和水行业的应用利益提供附加价值。这代表了确保NERC资助的模型和数据通过创新地将基础证据基础转换为相关最终用户可广泛访问的格式,从而对现实世界产生影响的下一个关键步骤。
英文摘要
Agricultural practices contribute a significant amount of faecal material onto pasture via direct defecation by grazing livestock and through applications of solid and liquid manures. Managing the spatial and temporal input of this faecal loading to pasture is important in order to minimise the proportion of faecal microorganisms, e.g. E. coli, that may be washed from faecal sources and transferred in runoff to nearby watercourses following rainfall. Contaminated runoff can lead to microbial pollution of our streams, rivers and seas. Scientists, environmental regulators, catchment managers and policy-makers are therefore keen to understand how E. coli survives and moves in the environment with a view that better knowledge and data on the behavioural characteristics of these microorganisms will improve our ability to model and predict their interactions with, and responses to, the world around us. The NERC-funded project ReMOFIO (NE/J004456/1) developed one such model to improve our understanding of the magnitude and spatial distribution of microbial risks in the landscape. The resulting ReMOFIO model predicts levels of microbial risk on agricultural land, based on livestock numbers, farming practices and E. coli survival patterns under environmental conditions (e.g. rainfall and temperature fluctuations). While the model is structurally simple its operation & functionality was not originally designed to maximise uptake by those who would benefit most from its use. In response, the original ViPER project used a participatory approach to bring together a range of stakeholders (regulators, catchment managers, scientists and farm networks) to promote engagement, deliberation and joint decision-making. Through a structured process of knowledge exchange the project team developed a freely-available prototype decision support tool (DST) called ViPER. The ViPER DST provides a user-friendly interface and allows end-users without specific modelling skills or knowledge of a modelling system to take advantage of existing NERC science and modelling capability (e.g. the ReMOFIO model) to understand how, when and where E. coli risks accumulate on agricultural land. However, in its current form, ViPER is unable to evaluate what proportion of that E. coli source on agricultural land will actually end up in rivers and streams following rainfall. In response, the aim of ViPER II is to now transition our prototype DST, which maps E. coli risks at the field, farm and catchment scale, into a user-ready toolkit for providing on-farm advice and guidance in the real world. To do this we will combine the ViPER DST with another freely-available NERC-funded hydrological risk-mapping tool called SCIMAP (NE/C508850/1). SCIMAP was designed to identify the origins of sediment and nutrient pollutants in the landscape and importantly, it maps how runoff can transfer sediment and nutrients across the soil surface and into watercourses. However, SCIMAP currently does not map microbial risks in the landscape because, unlike sediment and nutrients, bacteria such as E. coli accommodate a complex life-cycle and will die-off over time. By contrast, ViPER is able to account for the die-off of E. coli but lacks the capacity to predict E. coli transfer with runoff. An opportunity now exists to integrate two NERC-funded outputs (ViPER & SCIMAP) to deliver an innovative DST for mapping microbial pollution risks in catchment systems and to produce a DST that is greater than the sum of its individual parts. The resulting toolkit will provide added value both to land based assessment of microbial risks, and to the applied interests of environmental regulators and the water industry in the UK (& further afield). This represents the next critical step in ensuring that NERC funded models and data deliver real-world impact through innovative conversion of the underpinning evidence-base into a format that is widely accessible by relevant end-users.
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会议论文
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Arabidopsis 2010: A New Pathway for GSH Metabolism in Plants
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REU Site: Research Experience in Molecular Biotechnology and Genomics
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Research Experience in Molecular Biotechnology
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Integration of Computers
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资助金额:$3.85万
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依托单位:
Genetic Control of TCA Cycle During Seed Germination
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Genetic Control of TCA Cycle During Seed Germination
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依托单位:
Molecular Analysis of Plant Mitochondrial Substrate Transporters
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依托单位:
REU: Study of Mitochondrial Transporters Using Monoclonal Antibodies
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依托单位:
Metabolite Transport By Mitochondria Peas and Corn
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资助金额:$6.0万
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财政年份:1982
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负责人:David Oliver
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依托单位:
国内基金
海外基金
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依托单位: