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

Oliver, D.M. and Page, T. and Hodgson, C.J. and Heathwaite, A.L. and Chadwick, D.R. and Fish, R and Winter, M. (2009) Development and testing of a risk indexing framework to determine field-scale critical source areas of faecal bacteria on grassland. Environmental Modelling and Software, 25 (4). pp. 503-512. (doi:https://doi.org/10.1016/j.envsoft.2009.10.003) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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Official URL
http://dx.doi.org/10.1016/j.envsoft.2009.10.003

Abstract

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, southwest 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.

Item Type: Article
Additional information: Unmapped bibliographic data: AD - Centre for Sustainable Water Management, Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4AP, United Kingdom [Field not mapped to EPrints] AD - North Wyke Research, Okehampton, Devon EX20 2SB, United Kingdom [Field not mapped to EPrints] AD - Centre for Rural Policy Research, Department of Politics, University of Exeter, Exeter, Devon EX4 6TL, United Kingdom [Field not mapped to EPrints] DB - Scopus [Field not mapped to EPrints] M3 - Article [Field not mapped to EPrints]
Uncontrolled keywords: Critical source area, Diffuse pollution, Escherichia coli, Expert knowledge, Faecal indicator organism, Index, Pathogens, Risk, Water quality
Divisions: Faculties > Social Sciences > School of Anthropology and Conservation
Depositing User: Robert Fish
Date Deposited: 17 Jan 2017 10:47 UTC
Last Modified: 13 Aug 2018 13:39 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/59878 (The current URI for this page, for reference purposes)
Fish, R: https://orcid.org/0000-0001-7198-0403
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