Over the last decade there has been increasing recognition that patterns of landsliding vary across temporal and spatial scales challenging previous assumptions regarding the invariance of processes. Short-term temporal effects such as landslide preconditioning following large earthquakes, deforestation or wildfire, and long-term temporal effects related to river incision, drainage caption and hillslope readjustments show that a few years of data may not fully capture longer timescales. At the same time, recent work on path-dependency and correlated landsliding highlights knowledge gaps in the understanding of how the spatial and temporal context shapes landslide patterns, with past damage shaping failure processes. These interrelated processes have profound implication for landslide susceptibility, risk mitigation and understanding the broader role of landslides in landscape evolution. This session invites contributions that explore these interrelated themes through field survey, laboratory analysis, remote sensing, data analysis, and diverse modelling approaches to understand the mechanisms and processes from small to large temporal and spatial scales.