Overfishing is the unsustainable depletion of fish populations beyond their natural replenishment capacity, threatening marine biodiversity, ecosystem stability, and global food security. As a GIS use case, overfishing analysis leverages spatial analysis and geospatial data to monitor, model, and manage marine fisheries across complex oceanic environments.

GIS technology enables analysts to integrate multisource datasets — including satellite remote sensing, vessel tracking systems (AIS data), bathymetric surveys, and oceanographic measurements — into unified geospatial frameworks. Through spatial analysis techniques such as hotspot mapping, density analysis, and predictive habitat modeling, GIS professionals can identify high-risk fishing zones, delineate critical spawning habitats, and track fishing effort distribution across exclusive economic zones (EEZs).

Practical benefits include enhanced marine resource management, evidence-based policy enforcement, and real-time monitoring of illegal, unreported, and unregulated (IUU) fishing activities. Geospatial dashboards and web mapping applications further support regulatory agencies and conservation organizations in visualizing stock depletion trends and implementing spatially targeted intervention strategies. Ultimately, GIS transforms complex fisheries data into actionable intelligence that supports sustainable ocean governance.