With growing developments in marine tidal energy, coupled with high densities of marine species in suitable installation locations, there is concern about marine wildlife colliding with underwater devices. Methods are needed to predict such collisions when assessing environmental impacts of underwater turbines. Agent-Based Models (ABMs) in the field of ecology: simulate interactions between organisms; assess how they live (i.e. grow, reproduce, function, adapt) and die in a dynamic physical environment; consider a population from the point of view of the individuals, or agents with population level behaviours emerging from the behaviour of the individuals; have individual within a system that are defined by traits (e.g. size, age or sensitivity to a stressor) and behaviours they can perform (e.g. migration or avoidance). To better predict collisions with underwater devices, HR Wallingford has developed an Agent-Based Model (ABM) to predict the probability of marine animals colliding with an underwater device.
Agent-Based Modelling of fish collisions with tidal turbines
Title: Agent-Based Modelling of fish collisions with tidal turbines
May 17, 2019
Conference Name: Structures in the Marine Environment 2019
Conference Location: Glasgow, United Kingdom
Publisher: HR Wallingford
Rossington, K.; Benson, T. (2019). Agent-Based Modelling of fish collisions with tidal turbines [Presentation]. Presented at the Structures in the Marine Environment 2019, Glasgow, United Kingdom.