Authors: Pedro V G Batista, Peter Fiener, Simon Scheper, Christine Alewell ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Abstract The accelerated sediment supply from agricultural soils to riverine and lacustrine environments leads to negative off-site consequences. In particular, the sediment connectivity from agricultural land to surface waters is strongly affected by landscape patchiness and the linear structures that separate field parcels (e.g. roads, tracks, hedges, and grass buffer strips). Understanding the interactions between these structures and sediment transfer is therefore crucial for minimising off-site erosion impacts. Although soil erosion models can be used to understand lateral sediment transport patterns, model-based connectivity assessments are hindered by the uncertainty in model structures and input data. In specific, the representation of linear landscape features in numerical soil redistribution models is often compromised by the spatial resolution of the input data and the quality of the process descriptions. Here we adapted the WaTEM/SEDEM model using high resolution spatial data (2 m x 2 m) to analyse the sediment connectivity in a very patchy mesoscale catchment (73 km2) of the Swiss Plateau. We used a global sensitivity analysis to explore model structural assumptions about how linear landscape features (dis)connect the sediment cascade, which allowed us to investigate the uncertainty in the model structure. Furthermore, we compared model simulations of hillslope sediment yields from five sub-catchments to tributary sediment loads, which were calculated with long-term water discharge and suspended sediment measurements. The sensitivity analysis revealed that the assumptions about how the road network (dis)connects the sediment transfer from field blocks to water courses had a much higher impact on modelled sediment yields than the uncertainty in model parameters. Moreover, model simulations showed a higher agreement with tributary sediment loads when the road network was assumed to directly connect sediments from hillslopes to water courses. Our results ultimately illustrate how a high-density road network combined with an effective drainage system increases sediment connectivity from hillslopes to surface waters in agricultural landscapes. This further highlights the importance of considering linear landscape features and model structural uncertainty in soil erosion and sediment connectivity research. ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Metainformation This dataset includes: 1 - The input data used for running the WaTEM/SEDEM model in the Baldegg catchment. 2 - The discharge and sediment concentration data used for producing the sediment rating curves for the tributaries of the Lake Baldegg. 3 - The model and sediment rating curve output data. 4 - The R scripts for running the WaTEM/SEDEM model in the Baldegg catchment, the code for producing the sediment rating curves, and the code for summarising and analysing the model output data. ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- The sediment concentration and water discharge data were supplied by Robert Lovas, from the Department of Environment and Energy of the Canton of Lucerne. The model input data were adapted from freely available ©swisstopo geodata products: Swisstopo. SwissALTI3D. Das hoch aufgelöste Terrainmodell der Schweiz, 2014. Swisstopo. Swiss Map Vector 25 Beta, Das digitale Landschaftsmodell der Schweiz. 2018. Swisstopo. SwissTLM3D. Das grossmassstäbliche Topografische Landschaftsmodell der Schweiz, 2020. ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- For further information we refer to our preprint: https://doi.org/10.5194/hess-2021-231

{"references": ["Swisstopo. SwissALTI3D. Das hoch aufgel\u00f6ste Terrainmodell der Schweiz, 2014.", "Swisstopo. Swiss Map Vector 25 Beta, Das digitale Landschaftsmodell der Schweiz. 2018.", "Swisstopo. SwissTLM3D. Das grossmassst\u00e4bliche Topografische Landschaftsmodell der Schweiz, 2020."]}