Predicting sediment connectivity in a mountain basin: A quantitative analysis of the index of connectivity

Abstract Sediment connectivity underlies the relationships between sediment source areas and stream network use of topography‐based indices, such as index (IC), has become a common approach to investigate these relationships. However, few studies have tested potential IC an independent variable for predicting observable processes. In this study, aim is validation semi‐quantitative tool depicting structural dynamics linking sources channel after large infrequent disturbance in Rio Cordon catchment (Italy). First, assessment lateral was carried out using combination remote sensing data field observations. way, it possible classify into disconnected, connected or functionally connected. Second, logistic regression analyses were performed different variants, with weighting factors spatial resolutions variables status dependent variable. Hence, predictive capacity threshold derived distinguish low high connectivity. The results showed that only 15% are network. Moreover, proved be reliable when surface roughness factor high‐resolution digital terrain models. On contrary, failed at did not correctly areas, so cannot infer functional case study. As consequence, obtain −2.32, capable differentiating useful future management decisions. threshold, fact, represents objective boundary disconnected catchment.