Fig. 1: A model simulation in which resources, primary consumers, and secondary consumers exist on a grid and move randomly.
From: The impact of data resolution on dynamic causal inference in multiscale ecological networks
A Timeseries generated from the model simulation. B Different interaction networks that represent the model. Each timestep, primary consumers eat resources and secondary consumers consume primary consumers. Both primary and secondary consumers have rules determining whether they survive, starve, or reproduce. Primary consumers and resources interact on a 1-timestep timescale, and secondary consumers consume primary consumers at a 1-timestep scale as well; however, primary consumers influence secondary consumers at a 500-timestep scale. Thus, causal webs constructed using a 1-timestep frequency do not resolve the influence of primary consumers on secondary consumers (B, middle), but the causal webs constructed using a 500-timestep frequency do (B, right).
