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Mapping Fishing Effort through AIS Data

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...

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Autores principales: Natale, Fabrizio, Gibin, Maurizio, Alessandrini, Alfredo, Vespe, Michele, Paulrud, Anton
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4476776/
https://www.ncbi.nlm.nih.gov/pubmed/26098430
http://dx.doi.org/10.1371/journal.pone.0130746
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author Natale, Fabrizio
Gibin, Maurizio
Alessandrini, Alfredo
Vespe, Michele
Paulrud, Anton
author_facet Natale, Fabrizio
Gibin, Maurizio
Alessandrini, Alfredo
Vespe, Michele
Paulrud, Anton
author_sort Natale, Fabrizio
collection PubMed
description 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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spelling pubmed-44767762015-06-25 Mapping Fishing Effort through AIS Data Natale, Fabrizio Gibin, Maurizio Alessandrini, Alfredo Vespe, Michele Paulrud, Anton PLoS One Research Article 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. Public Library of Science 2015-06-22 /pmc/articles/PMC4476776/ /pubmed/26098430 http://dx.doi.org/10.1371/journal.pone.0130746 Text en © 2015 Natale et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Natale, Fabrizio
Gibin, Maurizio
Alessandrini, Alfredo
Vespe, Michele
Paulrud, Anton
Mapping Fishing Effort through AIS Data
title Mapping Fishing Effort through AIS Data
title_full Mapping Fishing Effort through AIS Data
title_fullStr Mapping Fishing Effort through AIS Data
title_full_unstemmed Mapping Fishing Effort through AIS Data
title_short Mapping Fishing Effort through AIS Data
title_sort mapping fishing effort through ais data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4476776/
https://www.ncbi.nlm.nih.gov/pubmed/26098430
http://dx.doi.org/10.1371/journal.pone.0130746
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