TY - JOUR
T1 - AIS underrepresents vessel traffic in Scotland's Marine Protected Areas
AU - Hague, Emily L.
AU - Walters, Alice
AU - Moscrop, Anna
AU - Steel, Emma
AU - Dyke, Katie
AU - Hartny-Mills, Lauren
AU - Lomax, Alison
AU - Lehmann, Juliane
AU - Olias, Sebastian
AU - Hilgenfeld, Carsten
AU - Cole, Debbie
AU - MacDonald-Taylor, Sarah
AU - Davis, Carole
AU - Siddle, Bernard
AU - Tozer, Julie
AU - Kilroe, Wendy
AU - Purcell Milton, Áine
AU - Olaleye, Rebecca
AU - McWhinnie, Lauren
PY - 2026/1
Y1 - 2026/1
N2 - 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.
AB - 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.
KW - AIS (Automatic Identification system)
KW - Marine protected areas (MPAs)
KW - Vessels
KW - Maritime traffic
KW - Impact mapping
KW - Monitoring
UR - https://www.scopus.com/pages/publications/105024352425
U2 - 10.1016/j.ocecoaman.2025.107990
DO - 10.1016/j.ocecoaman.2025.107990
M3 - Article
SN - 0964-5691
VL - 272
JO - Ocean & Coastal Management
JF - Ocean & Coastal Management
M1 - 107990
ER -