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dc.contributor.authorLoveridge, Alexandra
dc.contributor.authorElvidge, Christopher D.
dc.contributor.authorKroodsma, David A.
dc.contributor.authorWhite, Timothy D.
dc.contributor.authorEvans, Karen
dc.contributor.authorKato, Akiko
dc.contributor.authorRopert-Coudert, Yan
dc.contributor.authorSommerfeld, Julia
dc.contributor.authorTakahashi, Akinori
dc.contributor.authorPatchett, Robert
dc.contributor.authorRobira, Benjamin
dc.contributor.authorRutz, Christian
dc.contributor.authorSims, David W.
dc.date.accessioned2023-11-30T11:30:09Z
dc.date.available2023-11-30T11:30:09Z
dc.date.issued2024-01-01
dc.identifier296934548
dc.identifier6529c7ab-1f48-4e9b-85b3-4a6bdb17ad15
dc.identifier85183766441
dc.identifier.citationLoveridge , A , Elvidge , C D , Kroodsma , D A , White , T D , Evans , K , Kato , A , Ropert-Coudert , Y , Sommerfeld , J , Takahashi , A , Patchett , R , Robira , B , Rutz , C & Sims , D W 2024 , ' Context-dependent changes in maritime traffic activity during the first year of the COVID-19 pandemic ' , Global Environmental Change , vol. 84 , 102773 . https://doi.org/10.1016/j.gloenvcha.2023.102773en
dc.identifier.issn0959-3780
dc.identifier.otherRIS: urn:89F9C61639603D76662AF6E1A9077584
dc.identifier.otherORCID: /0000-0001-5187-7417/work/147966861
dc.identifier.urihttps://hdl.handle.net/10023/28797
dc.descriptionFunding: This article is a contribution of the COVID-19 Bio-Logging Initiative, which is funded in part by the Gordon and Betty Moore Foundation (GBMF9881) and the National Geographic Society (NGS-82515R-20) (both grants to C.R.), and endorsed by the United Nations Decade of Ocean Science for Sustainable Development. Specifically, A.L.’s, R.P.’s and B.R.’s postdoctoral positions were funded by the Gordon and Betty Moore Foundation (GBMF9881), and J.S.’s contributions were funded by the National Geographic Society (NGS-82515R-20). D.W.S. was supported by a Marine Biological Association Senior Research Fellowship with additional support from the Natural Environment Research Council (Discovery Science NE/R00997/X/1) and the European Research Council (Advanced Grant 883583 OCEAN DEOXYFISH).en
dc.description.abstractRapid implementation of human mobility restrictions during the COVID-19 pandemic dramatically reduced maritime activity in early 2020. But where and when activity rebounded, or remained low, during the full extent of 2020 restrictions remains unclear. Using global high-resolution datasets, we reveal a surprising degree of complexity in maritime activity patterns during 2020, yielding a more nuanced picture of how restrictions affected activity. Overall, shipping activity in Exclusive Economic Zones decreased (1.35 %), as expected, however high-seas activity increased (0.28 %). While these annual changes appear modest, there were striking spatially and temporally asynchronous variations in different vessel types’ activity in the second half of 2020, ranging from an > 80 % sustained reduction in passenger vessel activity to a 150 % increase in fishing activity. Results suggest systems-level responses were highly context-dependent, pinpointing areas that experienced significant reductions and spikes in activity, and providing hitherto missing details of COVID-19 impacts on economic and environmental sustainability.
dc.format.extent14
dc.format.extent10019171
dc.language.isoeng
dc.relation.ispartofGlobal Environmental Changeen
dc.subjectHuman mobilityen
dc.subjectMaritime trafficen
dc.subjectCOVID-19en
dc.subjectShippingen
dc.subjectFishingen
dc.subjectBlue economyen
dc.subjectGE Environmental Sciencesen
dc.subject3rd-DASen
dc.subjectMCCen
dc.subject.lccGEen
dc.titleContext-dependent changes in maritime traffic activity during the first year of the COVID-19 pandemicen
dc.typeJournal articleen
dc.contributor.sponsorGordon and Betty Moore Foundationen
dc.contributor.sponsorNational Geographic Societyen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Centre for Biological Diversityen
dc.contributor.institutionUniversity of St Andrews. Institute of Behavioural and Neural Sciencesen
dc.contributor.institutionUniversity of St Andrews. Centre for Social Learning & Cognitive Evolutionen
dc.identifier.doi10.1016/j.gloenvcha.2023.102773
dc.description.statusPeer revieweden
dc.identifier.grantnumberen
dc.identifier.grantnumberNGS-82515R-20en


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