Sediment connectivity in fluvial networks results from the transfer of sediment between multiple\ud
sources and sinks. Connectivity scales differently between all sources and sinks as a function of distance,\ud
source grain size and sediment supply, network topology and topography, and hydrologic forcing. In this\ud
paper, we address the challenge of quantifying sediment connectivity and its controls at the network scale.\ud
We expand the concept of a single, catchment-scale sediment cascade toward representing sediment transport\ud
from each source as a suite of individual cascading processes. We implement this approach in the\ud
herein presented CAtchment Sediment Connectivity And DElivery (CASCADE) modeling framework. In CASCADE,\ud
each sediment cascade establishes connectivity between a specific source and its multiple sinks.\ud
From a source perspective, the fate of sediment is controlled by its detachment and downstream transport\ud
capacity, resulting in a specific trajectory of transfer and deposition. From a sink perspective, the assemblage\ud
of incoming cascades defines provenance, sorting, and magnitude of sediment deliveries. At the network\ud
scale, this information reveals emerging patterns of connectivity and the location of bottlenecks,\ud
where disconnectivity occurs. In this paper, we apply CASCADE to quantitatively analyze the sediment connectivity\ud
of a major river system in SE Asia. The approach provides a screening model that can support analyses\ud
of large, poorly monitored river systems. We test the sensitivity of CASCADE to various parameters and\ud
identify the distribution of energy between the multiple, simultaneously active sediment cascades as key\ud
control behind network sediment connectivity. To conclude, CASCADE enables a quantitative, spatially\ud
explicit analysis of network sediment connectivity with potential applications in both river science and\ud
management