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dc.contributor.authorCorrea-Cano, ME
dc.contributor.authorSalmoral, G
dc.contributor.authorRey, D
dc.contributor.authorKnox, JW
dc.contributor.authorGraves, A
dc.contributor.authorMelo, O
dc.contributor.authorFoster, W
dc.contributor.authorNaranjo, L
dc.contributor.authorZegarra, E
dc.contributor.authorJohnson, C
dc.contributor.authorViteri-Salazar, O
dc.contributor.authorYan, X
dc.date.accessioned2022-04-20T08:07:05Z
dc.date.issued2022-02-09
dc.date.updated2022-04-19T19:49:58Z
dc.description.abstractIncreasing food demand has led to significant agricultural expansion globally with negative impacts on resources and the environment, a perfect manifestation of the Water-Energy-Food-Environment nexus. Whilst many tools have been developed to understand the complexity of the Water-Energy-Food-Environment nexus most have failed to explicitly consider biophysical and socio-economic aspects simultaneously. A novel Water-Energy-Food-Environment modelling toolkit is developed that integrates both these components by combining different modelling approaches including irrigation simulation, economic modelling and life cycle environmental assessment. The toolkit is demonstrated using two major agro-export crops (asparagus and table grapes) in the Ica Valley, Peru, a severely water-stressed region. The toolkit was able to provide novel insights into the implications of different farming practices on resource efficiency at the field level in relation to water and energy, under contrasting future scenarios reflecting socio-economic outcomes at the local to regional levels (e.g., food prices, employment, and income) as well as environmental impacts at local to global scales. This information enables different stakeholders to better understand the interlinkages and inter-dependences between the Water-Energy-Food-Environment nexus elements and the complex impacts of agricultural expansion beyond the immediate sector and its geographical extent, helping decision makers design more coordinated agricultural policies and support sustainable agricultural transformation.en_GB
dc.description.sponsorshipNatural Environment Research Councilen_GB
dc.description.sponsorshipChilean National Agency for Research and Development (ANID/CONICYT)en_GB
dc.format.extent112182-
dc.identifier.citationVol. 159, article 112182en_GB
dc.identifier.doihttps://doi.org/10.1016/j.rser.2022.112182
dc.identifier.grantnumberNE/ R015759/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/129405
dc.identifierORCID: 0000-0003-3165-5870 (Yan, X)
dc.identifierScopusID: 24484314900 | 57224465041 | 57226656591 (Yan, X)
dc.identifierResearcherID: C-4178-2008 | N-2405-2019 (Yan, X)
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.rights© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en_GB
dc.subjectAgricultureen_GB
dc.subjectIca Valleyen_GB
dc.subjectEconomic modellingen_GB
dc.subjectLife cycle assessmenten_GB
dc.subjectSustainabilityen_GB
dc.titleA novel modelling toolkit for unpacking the Water-Energy-Food-Environment (WEFE) nexus of agricultural developmenten_GB
dc.typeArticleen_GB
dc.date.available2022-04-20T08:07:05Z
dc.identifier.issn1364-0321
exeter.article-number112182
dc.descriptionThis is the final version. Available from Elsevier via the DOI in this record. en_GB
dc.descriptionSupplementary data related to this article can be found at https://do i.org/10.1016/j.rser.2022.112182.en_GB
dc.identifier.eissn1879-0690
dc.identifier.journalRenewable and Sustainable Energy Reviewsen_GB
dc.relation.ispartofRenewable and Sustainable Energy Reviews, 159
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2022-01-21
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2022-02-09
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-04-20T08:02:47Z
refterms.versionFCDVoR
refterms.dateFOA2022-04-20T08:07:07Z
refterms.panelBen_GB
refterms.dateFirstOnline2022-02-09


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© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's licence is described as © 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).