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dc.contributor.authorDuncan, EM
dc.contributor.authorDavies, A
dc.contributor.authorBrooks, A
dc.contributor.authorChowdhury, GW
dc.contributor.authorGodley, BJ
dc.contributor.authorJambeck, J
dc.contributor.authorMaddalene, T
dc.contributor.authorNapper, I
dc.contributor.authorNelms, SE
dc.contributor.authorRackstraw, C
dc.contributor.authorKoldewey, H
dc.date.accessioned2020-11-11T15:25:38Z
dc.date.issued2020-12-02
dc.description.abstractRivers worldwide are now acting as major transport pathways for plastic pollution and discharge large quantities of waste into the ocean. Previous oceanographic modelling and current drifter data have been used to predict the movement and accumulation of plastic pollution in the marine environment, but our understanding of the transport and fate through riparian systems is still largely unknown. Here we undertook a proof of concept study by applying open source tracking technology (both GPS (Global Positing System) cellular networks and satellite technology), which have been successfully used in many animal movement studies, to track the movements of individual plastic litter items (500 ml PET (polyethylene terephthalate) drinks bottles) through the Ganges River system (known as the Ganga in India and the Padma and Meghna in Bangladesh, hereafter known as the Ganges) and the Bay of Bengal. Deployed tags were successfully tracked through the Ganges river system and into the Bay of Bengal marine system. The “bottle tags” were designed and built (e.g. shape, size, buoyancy) to replicate true movement patterns of a plastic bottle. The maximum distance tracked to date is 2845 km over a period of 94 days. We discuss lessons learnt from the development of these plastic litter tags, and outline how the potential widespread use of this open source technology has the ability to significantly increase understanding of the location of accumulation areas and the timing of large inputs of plastic pollution into the aquatic system. Furthermore, “bottle tags” may act as a powerful tool for stimulating social behaviour change, informing science-based policy, and as valuable educational outreach tools for public awareness.en_GB
dc.description.sponsorshipNational Geographic Societyen_GB
dc.identifier.citationVol. 15 (12), article e0242459en_GB
dc.identifier.doi10.1371/journal.pone.0242459
dc.identifier.urihttp://hdl.handle.net/10871/123579
dc.language.isoenen_GB
dc.publisherPublic Library of Science (PLoS)en_GB
dc.relation.urlhttps://www.movebank.org/cms/webapp?gwt_fragment=page=studies,path=study1271155477
dc.rights© 2020 Duncan 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.
dc.subjectTrackingen_GB
dc.subjectTelemetryen_GB
dc.subjectIndian Oceanen_GB
dc.subjectPlastic Pollutionen_GB
dc.subjectPETen_GB
dc.subjectGangesen_GB
dc.subjectBay of Bengalen_GB
dc.subjectOpen Source Technologyen_GB
dc.titleMessage in a bottle: open source technology to track the movement of plastic pollutionen_GB
dc.typeArticleen_GB
dc.date.available2020-11-11T15:25:38Z
dc.identifier.issn1932-6203
dc.descriptionThis is the final version. Available on open access from Public Library of Science via the DOI in this recorden_GB
dc.descriptionData Availability: Data used in this study are available in the Movebank open data repository at https://www.movebank.org/cms/webapp?gwt_fragment=page=studies,path=study1271155477 (Movebank ID No. 1271155477).
dc.identifier.journalPLoS Oneen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2020-11-02
exeter.funder::National Geographic Societyen_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2020-11-02
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-11-11T15:16:01Z
refterms.versionFCDAM
refterms.dateFOA2020-12-08T15:22:58Z
refterms.panelAen_GB


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© 2020 Duncan 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 © 2020 Duncan 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.