Bias in Global Fishing Watch AIS data analyses results in overestimate of Northeast Atlantic pelagic fishing impact DOI Creative Commons
Niels T. Hintzen, Katie Brigden,

Hendrik-Jan Kaastra

et al.

ICES Journal of Marine Science, Journal Year: 2025, Volume and Issue: 82(3)

Published: March 1, 2025

Abstract The ability to pinpoint fishing activity in the world’s oceans has greatly improved over past decades, a period which both satellite-based vessel monitoring systems (VMS) and automatic identification (AIS) were introduced for fisheries control maritime safety purposes, respectively. These data have been used extensively research brought new insights into spatial temporal activities of many different fleets. More recently, products from Global Fishing Watch (GFW), derived AIS analyses, boosted research. This is because GFW resulting identified events reported globally at high resolution. However, working with pre-processed comes risk scientists who may rely on are unable change underlying assumptions by define events. In this study, we compare defined self-sampling programmes board two large pelagic fleets Northeast Atlantic. Within these programmes, exact position time hauls meticulously reported, allowing comparison number haul duration. Results reveal that made lead an overestimated duration gear deployment within range 30%–380%, depending target species type. addition, comparing unprocessed VMS data, demonstrate it likely vessels search fish using sonar echosounder equipment mistaken deployment. We recommend authorities allow free access or organizations such as work closer sector scientific community improve their products.

Language: Английский

Bias in Global Fishing Watch AIS data analyses results in overestimate of Northeast Atlantic pelagic fishing impact DOI Creative Commons
Niels T. Hintzen, Katie Brigden,

Hendrik-Jan Kaastra

et al.

ICES Journal of Marine Science, Journal Year: 2025, Volume and Issue: 82(3)

Published: March 1, 2025

Abstract The ability to pinpoint fishing activity in the world’s oceans has greatly improved over past decades, a period which both satellite-based vessel monitoring systems (VMS) and automatic identification (AIS) were introduced for fisheries control maritime safety purposes, respectively. These data have been used extensively research brought new insights into spatial temporal activities of many different fleets. More recently, products from Global Fishing Watch (GFW), derived AIS analyses, boosted research. This is because GFW resulting identified events reported globally at high resolution. However, working with pre-processed comes risk scientists who may rely on are unable change underlying assumptions by define events. In this study, we compare defined self-sampling programmes board two large pelagic fleets Northeast Atlantic. Within these programmes, exact position time hauls meticulously reported, allowing comparison number haul duration. Results reveal that made lead an overestimated duration gear deployment within range 30%–380%, depending target species type. addition, comparing unprocessed VMS data, demonstrate it likely vessels search fish using sonar echosounder equipment mistaken deployment. We recommend authorities allow free access or organizations such as work closer sector scientific community improve their products.

Language: Английский

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