Fisheries Monitoring and Management Systems

Fisheries monitoring and management systems encompass a suite of technologies, analytical methods and governance frameworks designed to observe, quantify and regulate fishing activities at multiple scales. Core monitoring tools include satellite-based remote sensing, Automatic Identification Systems (AIS) and Vessel Monitoring Systems (VMS), which together provide near-real-time data on vessel position, gear deployment and operational intensity. Advances in machine-learning algorithms and data fusion techniques have enabled the extraction of fishing effort patterns from large, heterogeneous datasets, improving the detection of illegal, unreported and unregulated (IUU) fishing. These insights inform spatial management measures such as marine protected areas (MPAs), dynamic ocean management and ecosystem-based fisheries management, ensuring that exploitation remains within ecological limits. Regulatory bodies and coastal nations employ monitoring outputs to enforce quotas, design bycatch-reduction strategies and facilitate participatory governance. The integration of high-resolution tracking data with biological and environmental models also supports adaptive management in response to climate-induced shifts in species distributions. Overall, modern fisheries monitoring and management systems aim to balance food security and livelihoods with the conservation of marine biodiversity on a global scale.

Research from Nature Portfolio

Recent studies have harnessed high-resolution satellite imagery combined with vessel GPS data and deep-learning models to produce the most comprehensive map to date of industrial fishing activity in coastal waters. This work revealed that a substantial majority of global fishing vessels operate without public tracking, leading to significant gaps in oversight around regions of high ecological sensitivity. The analysis also demonstrated notable declines in fishing effort during the early stages of the COVID-19 pandemic and highlighted contrasting resilience in transport and energy sectors. Furthermore, the expansion of offshore wind infrastructure was mapped, underscoring the need to integrate fisheries spatial planning with emerging marine industries to mitigate conflicts and preserve ecosystem function.

Fisheries Monitoring and Management Systems publication trend

The graph below shows the total number of articles in fisheries monitoring and management systems across all publications each year (not limited to Nature Index journals).

Technical terms

Automatic Identification System (AIS): A vessel tracking technology that broadcasts position, speed and heading information via VHF radio, enabling maritime monitoring and collision avoidance.

Vessel Monitoring System (VMS): Satellite-based platform mandated for certain fisheries, transmitting periodic vessel location and activity data to management authorities.

Machine learning: A set of computational techniques that detect patterns in complex datasets and support automated classification or prediction of fishing behaviours.

Marine Spatial Planning: A process of allocating marine space among competing uses—such as fishing, conservation and energy—to achieve ecological, economic and social objectives.

References

1. Satellite mapping reveals extensive industrial activity at sea. Nature (2024).
2. Deepwater red shrimp fishery in the eastern–central Mediterranean Sea: AIS-observed monthly fishing effort and frequency over 4 years. Earth System Science Data (2023).
3. Estimating fishing effort in small-scale fisheries using high-resolution spatio-temporal tracking data (an implementation framework illustrated with case studies from Portugal). Ecological Indicators (2023).