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A catchment-scale model to predict spatial and temporal burden of E. coli on pasture from grazing livestock

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A catchment-scale model to predict spatial and temporal burden of E. coli on pasture from grazing livestock. / Oliver, David M.; Bartie, Phil J.; Heathwaite, Louise et al.
In: Science of the Total Environment, Vol. 616-617, 03.2018, p. 678-687.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Oliver, DM, Bartie, PJ, Heathwaite, L, Reaney, SM, Parnell, JAQ & Quilliam, RS 2018, 'A catchment-scale model to predict spatial and temporal burden of E. coli on pasture from grazing livestock', Science of the Total Environment, vol. 616-617, pp. 678-687. https://doi.org/10.1016/j.scitotenv.2017.10.263

APA

Oliver, D. M., Bartie, P. J., Heathwaite, L., Reaney, S. M., Parnell, J. A. Q., & Quilliam, R. S. (2018). A catchment-scale model to predict spatial and temporal burden of E. coli on pasture from grazing livestock. Science of the Total Environment, 616-617, 678-687. https://doi.org/10.1016/j.scitotenv.2017.10.263

Vancouver

Oliver DM, Bartie PJ, Heathwaite L, Reaney SM, Parnell JAQ, Quilliam RS. A catchment-scale model to predict spatial and temporal burden of E. coli on pasture from grazing livestock. Science of the Total Environment. 2018 Mar;616-617:678-687. Epub 2017 Oct 27. doi: 10.1016/j.scitotenv.2017.10.263

Author

Oliver, David M. ; Bartie, Phil J. ; Heathwaite, Louise et al. / A catchment-scale model to predict spatial and temporal burden of E. coli on pasture from grazing livestock. In: Science of the Total Environment. 2018 ; Vol. 616-617. pp. 678-687.

Bibtex

@article{cb6c91177cdd404cbe8b1ed6102a3245,
title = "A catchment-scale model to predict spatial and temporal burden of E. coli on pasture from grazing livestock",
abstract = "Effective management of diffuse microbial water pollution from agriculture requires a fundamental understanding of how spatial patterns of microbial pollutants, e.g. E. coli, vary over time at the landscape scale. The aim of this study was to apply the Visualising Pathogen & Environmental Risk (ViPER) model, developed to predict E. coli burden on agricultural land, in a spatially distributed manner to two contrasting catchments in order to map and understand changes in E. coli burden contributed to land from grazing livestock. The model was applied to the River Ayr and Lunan Water catchments, with significant correlations observed between area of improved grassland and the maximum total E. coli per 1 km2 grid cell (Ayr: r = 0.57; p < 0.001, Lunan: r = 0.32; p < 0.001). There was a significant difference in the predicted maximum E. coli burden between seasons in both catchments, with summer and autumn predicted to accrue higher E. coli contributions relative to spring and winter (P < 0.001), driven largely by livestock presence. The ViPER model thus describes, at the landscape scale, spatial nuances in the vulnerability of E. coli loading to land as driven by stocking density and livestock grazing regimes. Resulting risk maps therefore provide the underpinning evidence to inform spatially-targeted decision-making with respect to managing sources of E. coli in agricultural environments.",
keywords = "Agriculture, Decision-making, Diffuse pollution, Faecal indicator organism, Risk screening",
author = "Oliver, {David M.} and Bartie, {Phil J.} and Louise Heathwaite and Reaney, {Sim M.} and Parnell, {Jared A.Q.} and Quilliam, {Richard S.}",
year = "2018",
month = mar,
doi = "10.1016/j.scitotenv.2017.10.263",
language = "English",
volume = "616-617",
pages = "678--687",
journal = "Science of the Total Environment",
issn = "0048-9697",
publisher = "Elsevier Science B.V.",

}

RIS

TY - JOUR

T1 - A catchment-scale model to predict spatial and temporal burden of E. coli on pasture from grazing livestock

AU - Oliver, David M.

AU - Bartie, Phil J.

AU - Heathwaite, Louise

AU - Reaney, Sim M.

AU - Parnell, Jared A.Q.

AU - Quilliam, Richard S.

PY - 2018/3

Y1 - 2018/3

N2 - Effective management of diffuse microbial water pollution from agriculture requires a fundamental understanding of how spatial patterns of microbial pollutants, e.g. E. coli, vary over time at the landscape scale. The aim of this study was to apply the Visualising Pathogen & Environmental Risk (ViPER) model, developed to predict E. coli burden on agricultural land, in a spatially distributed manner to two contrasting catchments in order to map and understand changes in E. coli burden contributed to land from grazing livestock. The model was applied to the River Ayr and Lunan Water catchments, with significant correlations observed between area of improved grassland and the maximum total E. coli per 1 km2 grid cell (Ayr: r = 0.57; p < 0.001, Lunan: r = 0.32; p < 0.001). There was a significant difference in the predicted maximum E. coli burden between seasons in both catchments, with summer and autumn predicted to accrue higher E. coli contributions relative to spring and winter (P < 0.001), driven largely by livestock presence. The ViPER model thus describes, at the landscape scale, spatial nuances in the vulnerability of E. coli loading to land as driven by stocking density and livestock grazing regimes. Resulting risk maps therefore provide the underpinning evidence to inform spatially-targeted decision-making with respect to managing sources of E. coli in agricultural environments.

AB - Effective management of diffuse microbial water pollution from agriculture requires a fundamental understanding of how spatial patterns of microbial pollutants, e.g. E. coli, vary over time at the landscape scale. The aim of this study was to apply the Visualising Pathogen & Environmental Risk (ViPER) model, developed to predict E. coli burden on agricultural land, in a spatially distributed manner to two contrasting catchments in order to map and understand changes in E. coli burden contributed to land from grazing livestock. The model was applied to the River Ayr and Lunan Water catchments, with significant correlations observed between area of improved grassland and the maximum total E. coli per 1 km2 grid cell (Ayr: r = 0.57; p < 0.001, Lunan: r = 0.32; p < 0.001). There was a significant difference in the predicted maximum E. coli burden between seasons in both catchments, with summer and autumn predicted to accrue higher E. coli contributions relative to spring and winter (P < 0.001), driven largely by livestock presence. The ViPER model thus describes, at the landscape scale, spatial nuances in the vulnerability of E. coli loading to land as driven by stocking density and livestock grazing regimes. Resulting risk maps therefore provide the underpinning evidence to inform spatially-targeted decision-making with respect to managing sources of E. coli in agricultural environments.

KW - Agriculture

KW - Decision-making

KW - Diffuse pollution

KW - Faecal indicator organism

KW - Risk screening

U2 - 10.1016/j.scitotenv.2017.10.263

DO - 10.1016/j.scitotenv.2017.10.263

M3 - Journal article

VL - 616-617

SP - 678

EP - 687

JO - Science of the Total Environment

JF - Science of the Total Environment

SN - 0048-9697

ER -