Interaction networks are typically presented and analyzed as compiled observations over multiple time periods or sites but decomposing networks into their spatiotemporal components can give us insights into to ecology and evolution of these systems. For example, understanding which interactions are spatially widespread or temporally stable (and conversely which are dynamic) has important implications for understanding the potential for coevolution, as well as the stability of these systems and resistance and resilience to human stressors like climate change. 

Relevant publications: