Landslides can produce sediment at rates that exceed the maximum rate of sediment generation by weathering processes (Dixon & von Blanckenburg, 2012), and can trigger a chain of processes that alter the pathways of sediment from source to sink (Fan et al., 2019). The continuously growing data realm of remotely sensed Earth observations and analytical measurements such as cosmogenic radionuclide (CRN) derived erosion rates helps to better understand the impact of mass movements on evolving surfaces (e.g., DeLisle et al., 2022;Depicker et al., 2021). Yet, quantifying the impact of landslides on the evolution of landscapes over large spatial and temporal scales requires computational models that explicitly simulate sediment production, mobilization, and aggradation.Although topographic relief is a necessary condition for-and a dominant control on-landslide susceptibility (Pourghasemi et al., 2018), process-based understanding of how landslides shape terrain is currently lacking. Over timescales relevant to the formation of topography, landslides, and other forms of mass wasting are thought to impose an upper limit to relief based on rock strength (Schmidt & Montgomery, 1995;Selby, 1982). Landsliding is often held to effectively impose a threshold slope angle on a landscape. Threshold theory implies that