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Graph Neural Networks: A New Tool for Causal Discovery in Marine Environments

Marine socio-ecological systems are profoundly interconnected. Species interact through food webs, habitats influence community structure, and human activities shape ecological outcomes in ways that ripple across space and time.

Causal Networks

Marine environments and their ecosystem dynamics are full of uncertainty. Fish stocks fluctuate from year to year, plankton blooms appear and disappear, and coastal economies respond to shifting ecological and regulatory conditions.

The Do Operator and More: Causal Graphs for Marine Decision Making

Marine environments are shaped by a constant flow of complex interactions. Fish respond to nutrient levels, plankton blooms rise and fall with temperature, and coastal communities change fishing practices as policies evolve.

Ecosystem Models Meet Causal Inference

Marine ecosystems are complex networks of interactions. Species feed on one another, compete for resources, respond to environmental shifts and are shaped by human activities such as fishing and coastal development.