AIS data to inform small scale fisheries management and marine spatial planning

Mark James, Tania Mendo*, Esther L. Jones, Kyla Orr, Ali McKnight, John Thompson

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

Automatic 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.

Original languageEnglish
Pages (from-to)113-121
Number of pages9
JournalMarine Policy
Volume91
DOIs
Publication statusPublished - 1 May 2018

Keywords

  • Inshore fisheries
  • Monitoring
  • PostgreSQL
  • Trajectories
  • Trips

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