134 research outputs found

    Transfer of Escherichia coli to water from drained and undrained grassland after grazing.

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    The aim of this study was to determine the load of Escherichia coli transferred via drainage waters from drained and undrained pasture following a grazing period. Higher concentrations (ranging between 104 and 103 CFU g-1) of E. coli persisted in soil for up to 60 days beyond the point where cattle were removed from the plots, but these eventually declined in the early months of spring to concentrations less than 102 CFU g-1. The decline reflects the combined effect of cell depletion from the soil store through both wash-out and die-off of E. coli. No difference (P 0.05) was observed in E. coli loads exported from drained and undrained plots. Similarly, no difference (P 0.05) was observed in E. coli concentrations in drainage waters of mole drain flow and overland plus subsurface interflow. Intermittent periods of elevated discharge associated with storm events mobilised E. coli at higher concentrations (e.g. in excess of 400 CFU ml-1) than observed during low flow conditions (often <25 CFU ml-1). The combination of high discharge and cell concentrations resulted in the export of E. coli loads from drained and undrained plots exceeding 106 CFU L-1 s-1. The results highlight the potential for drained land to export E. coli loads comparable to those transferred from undrained pasture

    Development and testing of a risk indexing framework to determine field-scale critical source areas of faecal bacteria on grassland.

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    This paper draws on lessons from a UK case study in the management of diffuse microbial pollution from grassland farm systems in the Taw catchment, south west England. We report on the development and preliminary testing of a field-scale faecal indicator organism risk indexing tool (FIORIT). This tool aims to prioritise those fields most vulnerable in terms of their risk of contributing FIOs to water. FIORIT risk indices were related to recorded microbial water quality parameters (faecal coliforms [FC] and intestinal enterococci [IE]) to provide a concurrent on-farm evaluation of the tool. There was a significant upward trend in Log[FC] and Log[IE] values with FIORIT risk score classification (r2 =0.87 and 0.70, respectively and P<0.01 for both FIOs). The FIORIT was then applied to 162 representative grassland fields through different seasons for ten farms in the case study catchment to determine the distribution of on-farm spatial and temporal risk. The high risk fields made up only a small proportion (1%, 2%, 2% and 3% for winter, spring, summer and autumn, respectively) of the total number of fields assessed (and less than 10% of the total area), but the likelihood of the hydrological connection of high FIO source areas to receiving watercourses makes them a priority for mitigation efforts. The FIORIT provides a preliminary and evolving mechanism through which we can combine risk assessment with risk communication to end-users and provides a framework for prioritising future empirical research. Continued testing of FIORIT across different geographical areas under both low and high flow conditions is now needed to initiate its long term development into a robust indexing tool

    Seasonal persistence of faecal indicator organisms in soil following dairy slurry application to land by surface broadcasting and shallow injection

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    Dairy farming generates large volumes of liquid manure (slurry), which is ultimately recycled to agricultural land as a valuable source of plant nutrients. Different methods of slurry application to land exist; some spread the slurry to the sward surface whereas others deliver the slurry under the sward and into the soil, thus helping to reduce greenhouse gas (GHG) emissions from agriculture. The aim of this study was to investigate the impact of two slurry application methods (surface broadcast versus shallow injection) on the survival of faecal indicator organisms (FIOs) delivered via dairy slurry to replicated grassland plots across contrasting seasons. A significant increase in FIO persistence (measured by the half-life ofE.coliand intestinal enterococci) was observed when slurry was applied to grassland via shallow injection, and FIO decay rates were significantly higher for FIOs applied to grassland in spring relative to summer and autumn. Significant differences in the behaviour ofE.coliand intestinal enterococci over time were also observed, withE.colihalf-lives influenced more strongly by season of application relative to the intestinal enterococci population. While shallow injection of slurry can reduce agricultural GHG emissions to air it can also prolong the persistence of FIOs in soil, potentially increasing the risk of their subsequent transfer to water. Awareness of (and evidence for) the potential for &lsquo;pollution-swapping&rsquo; is critical in order to guard against unintended environmental impacts of agricultural management decisions

    Can policy be risk-based? The cultural theory of risk and the case of livestock disease containment

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    This article explores the nature of calls for risk-based policy present in expert discourse from a cultural theory perspective. Semi-structured interviews with professionals engaged in the research and management of livestock disease control provide the data for a reading proposing that the real basis of policy relating to socio-technical hazards is deeply political and cannot be purified through ‘escape routes’ to objectivity. Scientists and risk managers are shown calling, on the one hand, for risk-based policy approaches while on the other acknowledging a range of policy drivers outside the scope of conventional quantitative risk analysis including group interests, eventualities such as outbreaks, historical antecedents, emergent scientific advances and other contingencies. Calls for risk-based policy are presented, following cultural theory, as ideals connected to a reductionist epistemology and serving particular professional interests over others rather than as realistic proposals for a paradigm shift

    Design of a decision support tool for visualising E. coli risks on agricultural land using a stakeholder-driven approach

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    Enabling knowledge exchange between scientists and decision-makers is becoming increasingly necessary to promote the development of effective decision-support tools (DSTs) for environmental management. Participation of stakeholders in the design process beyond a basic level of consultation is essential for promoting trust in modelled outputs and accelerating eventual uptake of resulting tools and models by end-user communities. This study outlines the development of a DST to visualise and communicate the spatial and temporal patterns ofE. coli(a faecal indicator organism) on agricultural land, as a first step in managing microbial pollution risks to the wider environment. A participatory approach was used to engage regulators, catchment managers, environmental scientists, farmers and farm advisors, researchers in geospatial technologies and water industry staff in the co-design of a novel, user-friendly and accessible DST for guiding on-farm microbial risk assessment. Recommendations for maximising the benefits of a participatory process to DST design are discussed with reference to a series of opportunities and limitations identified by our stakeholder cohort during the development of the Visualising Pathogen &amp; Environmental Risk (ViPER) DST. The resulting toolkit provides environmental managers and farm advisors with one of the first freely-available DSTs for visualising patterns ofE. coliinputs to pasture in space and time, and begins to address the lack of advisory tools currently available for informing decision-making with respect to managing microbial risks in agricultural systems

    Re-shaping models of E.coli population dynamics in livestock faeces: Increased bacterial risk to humans?

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    Dung-pats excreted directly on pasture from grazing animals can contribute a significant burden of faecal microbes to agricultural land. The aim of this study was to use a combined field and modelling approach to determine the importance of Escherichia coli growth in dung-pats when predicting faecal bacteria accumulation on grazed grassland. To do this an empirical model was developed to predict the dynamics of an E. coli reservoir within 1 ha plots each grazed by four beef steers for six months. Published first-order die-off coefficients were used within the model to describe the expected decline of E. coli in dung-pats. Modelled estimates using first-order kinetics led to an underestimation of the observed E. coli land reservoir, when using site-specific die-off coefficients. A simultaneous experiment determined the die-off profiles of E. coli within fresh faeces of beef cattle under field relevant conditions and suggested that faecal bacteria may experience growth and re-growth in the period post defecation when exposed to a complex interaction of environmental drivers such as variable temperature, UV radiation and moisture levels. This growth phase in dung-pats is not accounted for in models based on first-order die-off coefficients. When the model was amended to incorporate the growth of E. coli, equivalent to that observed in the field study, the prediction of the E. coli reservoir was improved with respect to the observed data and produced a previously unquantified step-change improvement in model predictions of the accumulation of these faecal bacteria on grasslands. Results from this study suggest that the use of first-order kinetic equations for determining land-based reservoirs of faecal bacteria should be approached with caution and greater emphasis placed on accounting for actual survival patterns observed under field relevant conditions

    Molecular tools for bathing water assessment in Europe:Balancing social science research with a rapidly developing environmental science evidence-base

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    The use of molecular tools, principally qPCR, versus traditional culture-based methods for quantifying microbial parameters (e.g., Fecal Indicator Organisms) in bathing waters generates considerable ongoing debate at the science-policy interface. Advances in science have allowed the development and application of molecular biological methods for rapid (~2 h) quantification of microbial pollution in bathing and recreational waters. In contrast, culture-based methods can take between 18 and 96 h for sample processing. Thus, molecular tools offer an opportunity to provide a more meaningful statement of microbial risk to water-users by providing near-real-time information enabling potentially more informed decision-making with regard to water-based activities. However, complementary studies concerning the potential costs and benefits of adopting rapid methods as a regulatory tool are in short supply. We report on findings from an international Working Group that examined the breadth of social impacts, challenges, and research opportunities associated with the application of molecular tools to bathing water regulations

    Fine-Scale in Situ Measurement of Riverbed Nitrate Production and Consumption in an Armored Permeable Riverbed

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    Alteration of the global nitrogen cycle by man has increased nitrogen loading in waterways considerably, often with harmful consequences for aquatic ecosystems. Dynamic redox conditions within riverbeds support a variety of nitrogen transformations, some of which can attenuate this burden. In reality, however, assessing the importance of processes besides perhaps denitrification is difficult, due to a sparseness of data, especially in situ, where sediment structure and hydrologic pathways are intact. Here we show in situ within a permeable riverbed, through injections of 15N-labeled substrates, that nitrate can be either consumed through denitrification or produced through nitrification, at a previously unresolved fine (centimeter) scale. Nitrification and denitrification occupy different niches in the riverbed, with denitrification occurring across a broad chemical gradient while nitrification is restricted to more oxic sediments. The narrow niche width for nitrification is in effect a break point, with the switch from activity “on” to activity “off” regulated by interactions between subsurface chemistry and hydrology. Although maxima for denitrification and nitrification occur at opposing ends of a chemical gradient, high potentials for both nitrate production and consumption can overlap when groundwater upwelling is strong

    Where does diffuse pollution come from?:a multi-scale risk-based approach grounded in hydrological conductivity

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    This paper is concerned with understanding the causes of diffuse agricultural pollution from a very different perspective to that adopted in traditional water quality models: rather than prediction of time-series of water quality parameters at a point, we focus explicitly upon identifying the risky parts of drainage basins using an approach that combined hydrological risk (a measure of how well connected a point in the drainage basin is) with production risk (a measure of the likelihood of a particular land use producing a particular risk). This is undertaken in a GIS framework, integrating data up from a very small spatial scale (25 m2) to entire catchments (over 1000 km2) in order to compare the relative risk of different points in the catchment. This is then followed by downscaling into the riskiest sub-catchments, tributaries, and eventually fields, to prioritise where to focus alternative land management practices. The model is driven by basic digital data resources. As the model is time-integrating but space-disaggregating, we need to obtain spatial datasets for model validation. Thus we used distributed surveys (of for example fish populations) to show that the models estimates of spatial variation in risk match available field evidence. Given the impetus from the Water Framework Directive and the need to develop catchment-sensitive farming, we believe that this approach could be a major new framework for management of diffuse pollution

    Chemical fractionation of lake sediments to determine the effects of land-use change on nutrient loading.

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    Lake studies allow contemporary sediment and nutrient dynamics to be placed in a historical context in order that trends and rates of change in catchment inputs may be calculated. Here, a synthesis of the temporal information contained in catchment and lake sediment records is attempted. A chemical fractionation technique is used to isolate the different sediment sources contained in the lake core, and 210Pb dates provide an accurate record of changes in lake sediment sources over the past 100 years. The extent to which land-use records, collated from agricultural census returns, and process-based studies of sediment and nutrient export from different catchment land uses can be used to explain the trends observed in the lake sediments is examined. Sediment influx to the study lake has increased from less than 2 mm year−1 prior to the Second World War to over 10 mm year−1 at present. The source of the sediment is largely unaltered and unweathered allochthonous material eroded from the catchment. Land-use records suggest that the intensification of agriculture, characterized by a shift towards arable land immediately postwar, followed by an increase in the area of temporary grass in the 1960s, may be the cause of accelerated catchment erosion; both land-use changes would have increased the area of ploughed land in the catchment. An increase in the number of cattle and sheep in the catchment from around 2000 and 6000, respectively, in the 1940s, to a peak of nearly 7000 cattle and over 15 000 sheep in the 1980s, provides a further source of sediment and nutrients. Livestock are grazed on permanent grassland which is commonly located on steep hillslopes and in riparian zones where saturation-excess surface runoff may be an important hydrological pathway. Rainfall simulation experiments show that surface runoff from heavily grazed grassland has a high suspended sediment, ammonium-nitrogen and particulate phosphorus load. The combined effect of the long-term increase in the organic loading from livestock and the inorganic N and P load from fertilizers, may be the source of nutrient enrichment in the lake
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