Mapping Fishing Effort through AIS Data

被引:192
作者
Natale, Fabrizio [1 ]
Gibin, Maurizio [1 ]
Alessandrini, Alfredo [1 ]
Vespe, Michele [1 ]
Paulrud, Anton [2 ]
机构
[1] Commiss European Communities, Joint Res Ctr, Inst Protect & Secur Citizen, I-21020 Ispra, Italy
[2] Swedish Agcy Marine & Water Management, Gothenburg, Sweden
来源
PLOS ONE | 2015年 / 10卷 / 06期
关键词
MONITORING-SYSTEM VMS; MAXIMUM-LIKELIHOOD; FISHERIES;
D O I
10.1371/journal.pone.0130746
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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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页数:16
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