AIS underrepresents vessel traffic in Scotland's Marine Protected Areas

Maritime traffic poses a variety of risks to both the marine environment and marine wildlife. To quantify and predict risk, accurate data on the distribution and densities of vessel traffic is required, yet currently there is no single data type that captures all vessel traffic. Most commonly, AIS (Automatic Identification System) vessel tracking data is used, despite awareness that AIS data does not fully capture all vessels present. Therefore, evaluations using only AIS likely underestimate the potential impacts. To estimate the scale of underestimation, vessel presence within six of Scotland's Marine Protected Areas (MPAs) were recorded during >1800 h of land-based and at-sea surveys, and compared with AIS data collected from a network of receivers deployed around Scotland. Non-AIS vessels were present within MPAs during 62 % of the surveyed period, with 64 % of vessels sighted not broadcasting AIS. AIS transmission rates varied between MPA, season and vessel type. Given that AIS data is the most commonly used data type for quantifying vessel activity and predicting associated impacts, consideration must be given to the volume of vessel traffic not represented within AIS datasets, particularly within MPAs. Underestimation of actual vessel traffic is likely leading to insufficient management or mitigation efforts within areas designated for protection. • AIS (Automatic Identification System) data often used to represent vessel traffic. • Surveys conducted across Scottish Marine Protected Areas. • AIS data did not represent vessel traffic within MPAs 62 % of the time. • 64 % of powered vessels sighted within MPAs were not broadcasting AIS. • Risk predictions using only AIS would underestimate the scale of potential impacts.

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Publication Details

Journal
Ocean & Coastal Management
Published
2025-11-07
DOI
https://doi.org/10.1016/j.ocecoaman.2025.107990
Primary Topic
Marine animal studies overview
Type
article
Field-Weighted Citation Impact
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article

AIS underrepresents vessel traffic in Scotland's Marine Protected Areas

Ocean & Coastal Management
Marine animal studies overview
article

AIS underrepresents vessel traffic in Scotland's Marine Protected Areas

article en

Abstract

Maritime traffic poses a variety of risks to both the marine environment and marine wildlife. To quantify and predict risk, accurate data on the distribution and densities of vessel traffic is required, yet currently there is no single data type that captures all vessel traffic. Most commonly, AIS (Automatic Identification System) vessel tracking data is used, despite awareness that AIS data does not fully capture all vessels present. Therefore, evaluations using only AIS likely underestimate the potential impacts. To estimate the scale of underestimation, vessel presence within six of Scotland's Marine Protected Areas (MPAs) were recorded during >1800 h of land-based and at-sea surveys, and compared with AIS data collected from a network of receivers deployed around Scotland. Non-AIS vessels were present within MPAs during 62 % of the surveyed period, with 64 % of vessels sighted not broadcasting AIS. AIS transmission rates varied between MPA, season and vessel type. Given that AIS data is the most commonly used data type for quantifying vessel activity and predicting associated impacts, consideration must be given to the volume of vessel traffic not represented within AIS datasets, particularly within MPAs. Underestimation of actual vessel traffic is likely leading to insufficient management or mitigation efforts within areas designated for protection. • AIS (Automatic Identification System) data often used to represent vessel traffic. • Surveys conducted across Scottish Marine Protected Areas. • AIS data did not represent vessel traffic within MPAs 62 % of the time. • 64 % of powered vessels sighted within MPAs were not broadcasting AIS. • Risk predictions using only AIS would underestimate the scale of potential impacts.

Ocean & Coastal ManagementVol. 272
University of Victoria (CA), NHS Ayrshire and Arran (GB), Heriot-Watt University (GB), Heriot-Watt University Malaysia (MY), Rostocker Zentrum zur Erforschung des Demografischen Wandels (DE), Shetland Arts (GB), Hebridean Seaweed (United Kingdom) (GB), Dolphin Computer Access (United Kingdom) (GB)
Life below water
Openalex Percentile: Top 37%
Marine animal studies overview
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