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dc.contributor.authorJames, Mark
dc.contributor.authorMendo, Tania
dc.contributor.authorJones, Esther L.
dc.contributor.authorOrr, Kyla
dc.contributor.authorMcknight, Ali
dc.contributor.authorThompson, John
dc.date.accessioned2019-08-23T23:39:31Z
dc.date.available2019-08-23T23:39:31Z
dc.date.issued2018-05
dc.identifier.citationJames , M , Mendo , T , Jones , E L , Orr , K , Mcknight , A & Thompson , J 2018 , ' AIS data to inform small scale fisheries management and marine spatial planning ' , Marine Policy , vol. 91 , pp. 113-121 . https://doi.org/10.1016/j.marpol.2018.02.012en
dc.identifier.issn0308-597X
dc.identifier.otherPURE: 252544395
dc.identifier.otherPURE UUID: 01d6cb3c-a828-42f9-87e9-de3e5d074491
dc.identifier.othercrossref: 10.1016/j.marpol.2018.02.012
dc.identifier.otherScopus: 85042271662
dc.identifier.otherORCID: /0000-0002-4409-5860/work/42734897
dc.identifier.otherORCID: /0000-0002-7182-1725/work/57330889
dc.identifier.otherWOS: 000429393500014
dc.identifier.otherORCID: /0000-0003-4397-2064/work/148888373
dc.identifier.urihttps://hdl.handle.net/10023/18367
dc.descriptionThis study was funded by the 2014/15 European Fisheries Fund ‘Evidence Gathering in Support of Sustainable Scottish Inshore Fisheries’ (Grant Number: MI-NC-3-0093). Mark James, Tania Mendo, and John Thompson were supported by the MASTS pooling initiative (The Marine Alliance for Science and Technology for Scotland). Their support is gratefully acknowledged. MASTS is funded by the Scottish Funding Council (grant reference HR09011) and contributing institutions.en
dc.description.abstractAutomatic Identification Systems (AIS) are collision avoidance devices used on-board both commercial and leisure craft. These systems report the position, track and speed of the vessel through Very High Frequency radio transmissions which are accessible to any suitable receiver. This paper explores the potential to use AIS data to inform small scale fisheries management and marine spatial planning. First, the propagation and reception of the line of sight AIS transmissions was modelled around the coast of Scotland to identify areas where the use of AIS may be compromised. Using open source Geographic Information System and relational database software, computationally efficient methods of processing and analysing AIS data were explored. Three months of AIS data derived from 274 Scottish small scale fishing vessels were used to provide spatio-temporal analyses of trip duration and distance travelled, location of fishing activities, and vessel dependency on fishing grounds. The coverage, opportunities and challenges of using AIS are discussed together with broader applications and future developments.
dc.language.isoeng
dc.relation.ispartofMarine Policyen
dc.rights© 2018, Elsevier Ltd. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1016/j.marpol.2018.02.012en
dc.subjectMonitoringen
dc.subjectInshore fisheriesen
dc.subjectTripsen
dc.subjectPostgreSQLen
dc.subjectTrajectoriesen
dc.subjectQH301 Biologyen
dc.subjectSH Aquaculture. Fisheries. Anglingen
dc.subjectNDASen
dc.subjectSDG 14 - Life Below Wateren
dc.subject.lccQH301en
dc.subject.lccSHen
dc.titleAIS data to inform small scale fisheries management and marine spatial planningen
dc.typeJournal articleen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Marine Alliance for Science & Technology Scotlanden
dc.contributor.institutionUniversity of St Andrews. Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews. Sea Mammal Research Uniten
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.identifier.doihttps://doi.org/10.1016/j.marpol.2018.02.012
dc.description.statusPeer revieweden
dc.date.embargoedUntil2019-08-24


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