AIS data to inform small scale fisheries management and marine spatial planning
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...
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| Published in: | Marine policy Vol. 91; pp. 113 - 121 |
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| Main Authors: | , , , , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier Ltd
01.05.2018
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| ISSN: | 0308-597X, 1872-9460 |
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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.
•Model predicts AIS data reception in the majority of Scottish coastal waters.•Open source software provides a useful and effective platform for AIS data analyses.•AIS data facilitates incorporation of small scale fisheries into spatial planning.•AIS data useful to characterise fishing trips and most important fishing grounds.•Important limitations of using AIS data for regulatory purposes identified. |
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| AbstractList | 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.
•Model predicts AIS data reception in the majority of Scottish coastal waters.•Open source software provides a useful and effective platform for AIS data analyses.•AIS data facilitates incorporation of small scale fisheries into spatial planning.•AIS data useful to characterise fishing trips and most important fishing grounds.•Important limitations of using AIS data for regulatory purposes identified. |
| Author | Orr, Kyla Thompson, John Mendo, Tania McKnight, Ali Jones, Esther L. James, Mark |
| Author_xml | – sequence: 1 givenname: Mark surname: James fullname: James, Mark organization: Scottish Oceans Institute, University of St. Andrews, East Sands Fife KY16 LB, UK – sequence: 2 givenname: Tania surname: Mendo fullname: Mendo, Tania organization: Scottish Oceans Institute, University of St. Andrews, East Sands Fife KY16 LB, UK – sequence: 3 givenname: Esther L. surname: Jones fullname: Jones, Esther L. organization: School of Applied Sciences, University of South Wales, Cemetery Road, Glyntaff, Pontypridd CF37 4BD, UK – sequence: 4 givenname: Kyla surname: Orr fullname: Orr, Kyla organization: Marine Ecological Consulting, Corkil, Plockton IV52 8TU, UK – sequence: 5 givenname: Ali surname: McKnight fullname: McKnight, Ali organization: Agroecosystems Ltd, Keeper's House, Gaick, Kingussie Inverness-shire PH21 1NZ, UK – sequence: 6 givenname: John surname: Thompson fullname: Thompson, John organization: Carnegie Trust for the Universities of Scotland, Andrew Carnegie House, Pittencrieff Street, Dunfermline, KY12 8AW, UK |
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