Skip to main navigation Skip to search Skip to main content

Abstract

Large Scale Fisheries (LSF), with Length Over All (LOA) larger than 12 to 15 m are generally subject to national and international regulations that require they carry some form of tracking system that is capable of reporting their position with a prescribed frequency and accuracy. However, Small Scale Fisheries (i.e. LOA < 15 m) although representing ~90% of the world’s fishers they are generally not subject to such regulation and thus important data related to the location, intensity and type of fishing activity for the majority of SSF is unknown. LSF are tracked using an Automatic Identification System (AIS) and/or Vessel Monitoring System (VMS). The need to develop tracking systems suitable for use in SSF is increasing as regulators and many of those involved in this fishing sector recognize the potential advantages of collecting this data. Funded by Scottish Government, this research represents a structured analysis of track data from a trial of a low cost tracking system being conducted in the Outer Hebrides, Scotland. Approximately ~40 creel fishing vessels (LOA < 12 m) have been fitted with the tracking system since November 2020.

Original languageEnglish
Title of host publicationTrends in maritime technology and engineering
Subtitle of host publicationproceedings of the 6th international conference on maritime technology and engineering (Martech 2022, Lisbon, Portugal, 24–26 May 2022)
EditorsC. Guedes Soares, T. A. Santos
PublisherTaylor & Francis Group/CRC Press
Pages129-134
Number of pages6
ISBN (Electronic)9781003320289
ISBN (Print)9781032335834, 9781032335780
DOIs
Publication statusPublished - 7 Jun 2022

Publication series

NameProceedings in marine technology and ocean engineering
PublisherCRC Press/Taylor & Francis Group
Volume2
ISSN (Print)2638-647X
ISSN (Electronic)2638-6461

Fingerprint

Dive into the research topics of 'Low-cost tracking system to infer fishing activity from small scale fisheries in Scotland'. Together they form a unique fingerprint.

Cite this