Journal
MARINE POLICY
Volume 91, Issue -, Pages 113-121Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.marpol.2018.02.012
Keywords
Monitoring; Inshore fisheries; Trips; PostgreSQL; Trajectories
Categories
Funding
- European Fisheries Fund 'Evidence Gathering in Support of Sustainable Scottish Inshore Fisheries' [MI-NC-3-0093]
- MASTS pooling initiative (The Marine Alliance for Science and Technology for Scotland)
- Scottish Funding Council [HR09011]
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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 MS data to inform small scale fisheries management and marine spatial planning. First, the propagation and reception of the line of sight MS 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.
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