The vertical growth of coastal wetlands is known to primarily be controlled by local tidal range and sediment availability as well as the occurrence of storm events. In estuaries, sediment availability additionally depends on riverine sediment input, the effect of which may be more pronounced in some parts of the estuary, thereby introducing a distinct spatial pattern that depends on the estuary's shape as well as the riverine sediment input and the hydro-meteorological regime. In the present study, we investigate how estuarine marshes along the whole Río de la Plata (RdlP) are affected by decadal and long-term variations in river discharge and storm activity. The El Niño Southern Oscillation (ENSO), in this context, appears to introduce a pronounced decadal variability on sediment loads brought into the RdlP. Based on 15 sediment cores, recovered along the RdlP and adjacent Atlantic coast, vertical marsh growth rates were studied using radionuclide dating (210Pb and 137Cs) and grain size distributions. By comparing these sedimentological records with historic river discharge and storm surge data, we spatially interpret the relative importance of temporal variations in river discharge and storm activity on estuarine marsh growth. By delivering the first estimates for vertical growth rates of the RdlP marshes, we conclude that with average vertical marsh growth rates between 0.4 and 2.6 cm year− 1, the RdlP marshes are highly resilient against drowning under present and future sea-level rise (SLR) conditions. Furthermore, our results confirm a large spatial variability of the drivers for vertical marsh growth; extreme storm surges appear to play a role in the development of the outer RdlP marshes whereas the temporal variations in river discharge seem to be hierarchically more important for the marshes in the inner estuary.This project was financially supported by a grant of the Cluster of Excellence 80 ‘The Future Ocean’ to Mark Schuerch (grant CP1211). ‘The Future Ocean’ is funded within the framework of the Excellence Initiative by the ‘Deutsche Forschungsgemeinschaft’ (DFG) on behalf of the German federal and state governments (EXC 80). Felipe García-Rodríguez acknowledges ‘Agencia Nacional de Investigación e Innovación’ (ANII) and PEDECIBA. Jan Scholten acknowledges the support provided by the FP7 EU Marie Curie Career Integration Grant (grant PCIG09-GA-2011-293499).This is the author accepted manuscript. The final version is available from Elsevier at http://dx.doi.org/10.1016/j.geomorph.2016.06.029