ArticlePloS one2015
Mapping Fishing Effort through AIS Data.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 262 citations in OpenAlex.
- Fish diversity and community turnover across protection zones in multiuse marine protected areas.Conservation biology : the journal of the Society for Conservation Biology · 2026Article
- Ligula intestinalis in Labeobarbus fish species at Lake Tana, Ethiopia: prevalence, histopathological investigation, and associated risk factors.BMC veterinary research · 2025Article
- Fishing operation type recognition based on multi-branch convolutional neural network using trajectory data.PeerJ. Computer science · 2025Article
- Quantifying the spatial nonstationary response of environmental factors on purse seine tuna vessel fishing.Heliyon · 2024Article
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- The largest fully protected marine area in North America does not harm industrial fishing.Science advances · 2023Article
- Vessel noise exposures of harbour seals from the Wadden Sea.Scientific reports · 2023Article
- The global network of ports supporting high seas fishing.Science advances · 2021Article
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- Identifying fishing grounds from vessel tracks: model-based inference for small scale fisheries.Royal Society open science · 2019Article
- The environmental niche of the global high seas pelagic longline fleet.Science advances · 2018Article
- Global hot spots of transshipment of fish catch at sea.Science advances · 2018Article
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- A Dimensionality Reduction-Based Multi-Step Clustering Method for Robust Vessel Trajectory Analysis.Sensors (Basel, Switzerland) · 2017Article
- Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning.PloS one · 2016Article
- Article
- The quantifying, mapping, and risk analysis of human-related stressors in the high seas.Science progressArticle
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Several research initiatives have been undertaken to map fishing effort at high spatial resolution using the Vessel Monitoring System (VMS). An alternative to the VMS is represented by the Automatic Identification System (AIS), which in the EU became compulsory in May 2014 for all fishing vessels of length above 15 meters. The aim of this paper is to assess the uptake of the AIS in the EU fishing fleet and the feasibility of producing a map of fishing effort with high spatial and temporal resolution at European scale. After analysing a large AIS dataset for the period January-August 2014 and covering most of the EU waters, we show that AIS was adopted by around 75% of EU fishing vessels above 15 meters of length. Using the Swedish fleet as a case study, we developed a method to identify fishing activity based on the analysis of individual vessels' speed profiles and produce a high resolution map of fishing effort based on AIS data. The method was validated using detailed logbook data and proved to be sufficiently accurate and computationally efficient to identify fishing grounds and effort in the case of trawlers, which represent the largest portion of the EU fishing fleet above 15 meters of length. Issues still to be addressed before extending the exercise to the entire EU fleet are the assessment of coverage levels of the AIS data for all EU waters and the identification of fishing activity in the case of vessels other than trawlers.
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