Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/22577
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dc.contributor.authorOliver, Daviden_UK
dc.contributor.authorPorter, Kennethen_UK
dc.contributor.authorPachepsky, Yakov Aen_UK
dc.contributor.authorMuirhead, Richard Wen_UK
dc.contributor.authorReaney, Sim Men_UK
dc.contributor.authorCoffey, Roryen_UK
dc.contributor.authorKay, Daviden_UK
dc.contributor.authorMilledge, David Gen_UK
dc.contributor.authorHong, Eunmien_UK
dc.contributor.authorAnthony, Steven Gen_UK
dc.contributor.authorPage, Trevoren_UK
dc.contributor.authorBloodworth, Jack Wen_UK
dc.contributor.authorMellander, Per-Eriken_UK
dc.contributor.authorCarbonneau, Patrice Een_UK
dc.contributor.authorMcGrane, Scott Jen_UK
dc.contributor.authorQuilliam, Richarden_UK
dc.date.accessioned2017-08-01T23:19:53Z-
dc.date.available2017-08-01T23:19:53Z-
dc.date.issued2016-02-15en_UK
dc.identifier.urihttp://hdl.handle.net/1893/22577-
dc.description.abstractThe application of models to predict concentrations of faecal indicator organisms (FIOs) in environmental systems plays an important role for guiding decision-making associated with the management of microbial water quality. In recent years there has been an increasing demand by policy-makers for models to help inform FIO dynamics in order to prioritise efforts for environmental and human-health protection. However, given the limited evidence-base on which FIO models are built relative to other agricultural pollutants (e.g. nutrients) it is imperative that the end-user expectations of FIO models are appropriately managed. In response, this commentary highlights four over-arching questions associated with: (i) model purpose; (ii) modelling approach; (iii) data availability; and (iv) model application, that must be considered as part of good practice prior to the deployment of any modelling approach to predict FIO behaviour in catchment systems. A series of short and longer-term research priorities are proposed in response to these questions in order to promote better model deployment in the field of catchment microbial dynamics.en_UK
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.relationOliver D, Porter K, Pachepsky YA, Muirhead RW, Reaney SM, Coffey R, Kay D, Milledge DG, Hong E, Anthony SG, Page T, Bloodworth JW, Mellander P, Carbonneau PE, McGrane SJ & Quilliam R (2016) Predicting microbial water quality with models: Over-arching questions for managing risk in agricultural catchments. Science of the Total Environment, 544, pp. 39-47. https://doi.org/10.1016/j.scitotenv.2015.11.086en_UK
dc.rights© 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.titlePredicting microbial water quality with models: Over-arching questions for managing risk in agricultural catchmentsen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1016/j.scitotenv.2015.11.086en_UK
dc.identifier.pmid26657248en_UK
dc.citation.jtitleScience of the Total Environmenten_UK
dc.citation.issn0048-9697en_UK
dc.citation.volume544en_UK
dc.citation.spage39en_UK
dc.citation.epage47en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderNatural Environment Research Councilen_UK
dc.author.emaildavid.oliver@stir.ac.uken_UK
dc.citation.date03/12/2015en_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationU.S. Department of Agricultureen_UK
dc.contributor.affiliationAgResearch Ltden_UK
dc.contributor.affiliationDurham Universityen_UK
dc.contributor.affiliationUniversity College Dublin (UCD)en_UK
dc.contributor.affiliationAberystwyth Universityen_UK
dc.contributor.affiliationDurham Universityen_UK
dc.contributor.affiliationU.S. Department of Agricultureen_UK
dc.contributor.affiliationADAS Group Ltden_UK
dc.contributor.affiliationLancaster Universityen_UK
dc.contributor.affiliationCranfield Universityen_UK
dc.contributor.affiliationTeagascen_UK
dc.contributor.affiliationDurham Universityen_UK
dc.contributor.affiliationUniversity of Surreyen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.identifier.isiWOS:000369491500006en_UK
dc.identifier.scopusid2-s2.0-84949505302en_UK
dc.identifier.wtid582821en_UK
dc.contributor.orcid0000-0002-6200-562Xen_UK
dc.contributor.orcid0000-0001-7020-4410en_UK
dc.date.accepted2015-11-17en_UK
dcterms.dateAccepted2015-11-17en_UK
dc.date.filedepositdate2015-12-03en_UK
dc.relation.funderprojectPathogen Risks in Agricultural Catchments: Towards International Collaboration And Learning in Modelling (PRACTICAL Modelling)en_UK
dc.relation.funderrefNE/M005860/1en_UK
rioxxterms.apcpaiden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorOliver, David|0000-0002-6200-562Xen_UK
local.rioxx.authorPorter, Kenneth|en_UK
local.rioxx.authorPachepsky, Yakov A|en_UK
local.rioxx.authorMuirhead, Richard W|en_UK
local.rioxx.authorReaney, Sim M|en_UK
local.rioxx.authorCoffey, Rory|en_UK
local.rioxx.authorKay, David|en_UK
local.rioxx.authorMilledge, David G|en_UK
local.rioxx.authorHong, Eunmi|en_UK
local.rioxx.authorAnthony, Steven G|en_UK
local.rioxx.authorPage, Trevor|en_UK
local.rioxx.authorBloodworth, Jack W|en_UK
local.rioxx.authorMellander, Per-Erik|en_UK
local.rioxx.authorCarbonneau, Patrice E|en_UK
local.rioxx.authorMcGrane, Scott J|en_UK
local.rioxx.authorQuilliam, Richard|0000-0001-7020-4410en_UK
local.rioxx.projectNE/M005860/1|Natural Environment Research Council|http://dx.doi.org/10.13039/501100000270en_UK
local.rioxx.freetoreaddate2015-12-03en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2015-12-03|en_UK
local.rioxx.filenameOliver et al_Sci of Tot Env_2015.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source0048-9697en_UK
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