Ocean ecosystems are shaped by complex interactions between thousands of species, from microscopic organisms near the surface to deep-sea predators thousands of metres below. Understanding how these interconnected communities may respond to climate change and emerging human activities requires approaches that can capture the movement of energy and resources through the entire food web.
Food web models provide a way to explore these connections by representing how organisms interact, how energy moves between different parts of the ecosystem, and how changes in one part of the food web can affect the wider system. By creating a vertically connected model of the ocean, from the surface to the deep seafloor, it becomes possible to investigate how pressures can cascade through marine ecosystems over different timescales.
The food web model developed in this work will provide a detailed picture of the current state of the North Atlantic Current and Evlanov Sea basin Marine Protected Area (NACES MPA) ecosystem, including interactions between organisms living throughout the water column and on the seafloor. Information on species abundance, diets, energy flows, and ecosystem connections will be combined to understand how the system functions today and identify the conditions needed to maintain a healthy and resilient ocean ecosystem.
Beyond describing the present-day ecosystem, the model will be used to explore how ocean food webs may change under different future scenarios. These scenarios will consider the combined effects of climate change, existing fisheries pressures, and potential emerging activities such as mesopelagic fisheries. By testing different levels of disturbance, the model will help identify when ecosystems may approach critical limits beyond which recovery becomes more difficult.