Dynamic processes play a key role in ecology for the survival or extinction of species, and the structure of communities. Among these dynamics, there is a kaleidoscope of possible species interactions, from mutual benefit to mutual harm. Whereas some of these interactions are effectively constant, there are interactions, where timing and time-ordering is particularly important. Studying such interaction systems is challenging. By focusing on individual species, it may be possible to identify individual drivers and factors but ignores interactions between species. Studying larger systems has often relied on differential equation modelling, that is not amenable to the inclusion of covariates. In this project we use a relational event model for studying the drivers of temporal ecological dynamics. Temporal interaction dynamics encode sequences of relational events connecting a sender to a recipient at a specific point in time. Relational event models provide a concise way to analyse a broad family of interactional patterns and their underlying drivers.