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dc.contributor.authorGuariguata, L
dc.contributor.authorHickey, GM
dc.contributor.authorMurphy, MM
dc.contributor.authorGuell, C
dc.contributor.authorIese, V
dc.contributor.authorMorrissey, K
dc.contributor.authorDuvivier, P
dc.contributor.authorHerberg, S
dc.contributor.authorKiran, S
dc.contributor.authorUnwin, N
dc.date.accessioned2023-11-08T15:13:27Z
dc.date.issued2023-09-19
dc.date.updated2023-11-08T14:43:02Z
dc.description.abstractGlobalized food systems are a major driver of climate change, biodiversity loss, environmental degradation, and the increasing prevalence of overweight and obesity in society. Small Island Developing States (SIDS) are particularly sensitive to the negative effects of rapid environmental change, with many also exhibiting a heavy reliance on food imports and high burdens of nutrition-related disease, resulting in calls to (re)localize their food systems. Such a transition represents a complex challenge, with adaptation interventions in one part of the food system contingent on the success of interventions in other parts. To help address this challenge, we used group model-building techniques from the science of system dynamics to engage food system stakeholders in Caribbean and Pacific SIDS. Our aim was to understand the drivers of unhealthy and unsustainable food systems in SIDS, and the potential role that increased local food production could play in transformative adaptation. We present two causal loop diagrams (CLDs) considered helpful in designing resilience-enhancing interventions in local food systems. These CLDs represent 'dynamic hypotheses' and provide starting points that can be adapted to local contexts for identifying food system factors, understanding the interactions between them, and co-creating and implementing adaptation interventions, particularly in SIDS. The results can help guide understanding of complexity, assist in the co-creation of interventions, and reduce the risk of maladaptive consequences.en_GB
dc.description.sponsorshipUK Research and Innovationen_GB
dc.identifier.citationVol. 3, No. 9, article e0001988en_GB
dc.identifier.doihttps://doi.org/10.1371/journal.pgph.0001988
dc.identifier.grantnumberBB/T008857/1en_GB
dc.identifier.grantnumberMR/PO25250/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/134467
dc.identifierORCID: 0000-0003-0105-410X (Guell, Cornelia)
dc.identifierORCID: 0000-0002-1368-1648 (Unwin, Nigel)
dc.language.isoenen_GB
dc.publisherPublic Library of Scienceen_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/37725624en_GB
dc.rights© 2023 Guariguata et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en_GB
dc.titleUnderstanding the links between human health, ecosystem health, and food systems in Small Island Developing States using stakeholder-informed causal loop diagramsen_GB
dc.typeArticleen_GB
dc.date.available2023-11-08T15:13:27Z
dc.identifier.issn2767-3375
exeter.place-of-publicationUnited States
dc.descriptionThis is the final version. Available on open access from Public Library of Science via the DOI in this record. en_GB
dc.descriptionData Availability: All relevant data are within the paper and its Supporting Information files.en_GB
dc.identifier.journalPLOS Global Public Healthen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2023-08-22
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-09-19
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-11-08T15:09:29Z
refterms.versionFCDVoR
refterms.dateFOA2023-11-08T15:13:28Z
refterms.panelAen_GB
refterms.dateFirstOnline2023-09-19


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© 2023 Guariguata et al. This is an open
access article distributed under the terms of the
Creative Commons Attribution License, which
permits unrestricted use, distribution, and
reproduction in any medium, provided the original
author and source are credited.
Except where otherwise noted, this item's licence is described as © 2023 Guariguata et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.