Please use this identifier to cite or link to this item:
Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Development and testing of a risk indexing framework to determine field-scale critical source areas of faecal bacteria on grassland
Author(s): Oliver, David
Page, Trevor
Hodgson, Chris J
Heathwaite, A Louise
Chadwick, Dave R
Winter, Michael
Contact Email:
Keywords: Diffuse pollution
E. coli
Water quality
Critical source area
Faecal indicator organism
Expert knowledge
Grassland ecology England
Water quality biological assessment
Water Pollution
Issue Date: Apr-2010
Date Deposited: 14-Jan-2011
Citation: Oliver D, Page T, Hodgson CJ, Heathwaite AL, Chadwick DR & Winter M (2010) 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.;
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 ¼ 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.
DOI Link: 10.1016/j.envsoft.2009.10.003
Rights: Published in Environmental Modelling and Software by Elsevier. Environmental Modelling and Software, Volume 25, Issue 4, April 2010, pp. 503 - 512. doi:10.1016/j.envsoft.2009.10.003

Files in This Item:
File Description SizeFormat 
EMS_Oliver et al_text__FINAL41.pdfFulltext - Accepted Version695.36 kBAdobe PDFView/Open

This item is protected by original copyright

Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved

If you believe that any material held in STORRE infringes copyright, please contact providing details and we will remove the Work from public display in STORRE and investigate your claim.