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Highlights • Two crucial periods for suspended sediment transport were June and November/December. • Analysis of 236 floods highlighted their intermittency and did not show relationships. • Medium-term continuous time series are necessary to assess range of variations of SSF. Abstract In mountainous catchments, soil erosion and sediment transport are highly variable throughout time and their quantification remains a major challenge for the scientific community. Understanding the temporal patterns and the main controls of sediment yields in these environments requires a long term monitoring of rainfall, runoff and sediment flux. This paper analyses this type of data collected during 7 years (2007–2014), at the outlet of the Galabre River, a 20 km2 watershed, in south eastern France, representative of meso-scale Mediterranean mountainous catchments. This study is based on a hybrid approach using continuous turbidity records and automated total suspended solid sampling to quantify the instantaneous suspended sediment concentrations (SSC), sediment fluxes, event loads and yields. The total suspended sediment yield was 4661 Mg km−2 and was observed during flood events. The two crucial periods for suspended sediment transport at the outlet were June and November/December (63% of the total). The analysis of suspended sediment transport dynamics observed during 236 flood events highlighted their intermittency and did not show any clear relationship between rainfall, discharge and SSC. The most efficient floods were characterised by counter-clockwise hysteresis relationships between SSC and discharges. The floods with complex hysteresis were the more productive in the long term, during this measuring period exceeding a decade. Nevertheless, the current research outlines the need to obtain medium-term (five years) continuous time series to assess the range of variations of suspended sediment fluxes and to outline clearly the seasonality of suspended sediment yields. Results suggest the occurrence of a temporal dis-connectivity in meso-scale catchments over short time-scales between the meteorological forcing and the sediment yields estimated at the outlet. These findings have important methodological impacts for modelling and operational implications for watershed management. [ABSTRACT FROM AUTHOR]

• The proposed sediment connectivity framework integrates the rainfall regime. • Event-based sediment connectivity helps identify the sediment source contribution. • The mismatched area exists for erosion and sediment connectivity. • The overlay between erosion and connectivity is key to explaining sediment yield. Sediment connectivity quantifies the intermediate processes between initial erosion and the corresponding sediment yield. However, fully capturing the variations in sediment connectivity at the event scale and revealing their impact on watershed sediment sources remains challenging. Herein, we established an event-based model to assess sediment connectivity by integrating runoff factors. The spatiotemporal variability of sediment connectivity was evaluated for 58 rainfall events in three heterogeneous watersheds. The degree of sediment connectivity served as an indicator to quantify the proportion of potential sediment transport from units to the watershed outlet, with 1 indicating that the eroded sediment can be fully connected and 0 indicating that it cannot be transported. Moreover, the controls of sediment connectivity on watershed sediment sources and yield were determined. Our results indicated that the watersheds with poor vegetation and dense gullies were characterized by high sediment connectivity during all the rainfall events. The connectivity degree was below 0.5 in approximately 80 % of the watershed area, suggesting that most of the eroded sediment was deposited. Rainfall amount and duration dominated the degree of connectivity of the distal hillslopes, while rainfall intensity exerted a primary control on the transport of sediments from riverbanks to the outlet. In addition, the increase of mismatched area between sediment connectivity and erosion resulted in the decrease of sediment yield. The interaction between sediment connectivity and erosion effectively explained the spatial patterns of sediment sources (p < 0.05). Our work confirmed that the coupled erosion model and sediment connectivity predicted the sediment yield accurately. The predictions for different watersheds portrayed that the Nash-Sutcliffe efficiency and Willmott's agreement index were greater than 0.70 and 0.89, respectively. These findings revealed the role of sediment connectivity and are the critical basis to identify watershed-specific sediment management practices. [ABSTRACT FROM AUTHOR]

• The proposed sediment connectivity framework integrates the rainfall regime. • Event-based sediment connectivity helps identify the sediment source contribution. • The mismatched area exists for erosion and sediment connectivity. • The overlay between erosion and connectivity is key to explaining sediment yield. Sediment connectivity quantifies the intermediate processes between initial erosion and the corresponding sediment yield. However, fully capturing the variations in sediment connectivity at the event scale and revealing their impact on watershed sediment sources remains challenging. Herein, we established an event-based model to assess sediment connectivity by integrating runoff factors. The spatiotemporal variability of sediment connectivity was evaluated for 58 rainfall events in three heterogeneous watersheds. The degree of sediment connectivity served as an indicator to quantify the proportion of potential sediment transport from units to the watershed outlet, with 1 indicating that the eroded sediment can be fully connected and 0 indicating that it cannot be transported. Moreover, the controls of sediment connectivity on watershed sediment sources and yield were determined. Our results indicated that the watersheds with poor vegetation and dense gullies were characterized by high sediment connectivity during all the rainfall events. The connectivity degree was below 0.5 in approximately 80 % of the watershed area, suggesting that most of the eroded sediment was deposited. Rainfall amount and duration dominated the degree of connectivity of the distal hillslopes, while rainfall intensity exerted a primary control on the transport of sediments from riverbanks to the outlet. In addition, the increase of mismatched area between sediment connectivity and erosion resulted in the decrease of sediment yield. The interaction between sediment connectivity and erosion effectively explained the spatial patterns of sediment sources (p < 0.05). Our work confirmed that the coupled erosion model and sediment connectivity predicted the sediment yield accurately. The predictions for different watersheds portrayed that the Nash-Sutcliffe efficiency and Willmott's agreement index were greater than 0.70 and 0.89, respectively. These findings revealed the role of sediment connectivity and are the critical basis to identify watershed-specific sediment management practices. [ABSTRACT FROM AUTHOR]

Abstract: Initiated by the need to quantify erosion rates and the impacts of global changes on erosion, several attempts have been made to apply erosion models at regional scales. However, these models have often been directed towards on-site soil erosion estimates, emphasising sheet and rill erosion processes, and disregarding gully erosion, channel erosion and sediment transport. These models are therefore of limited use for the assessment of sediment yield, off-site impacts of erosion, and for the development of environmental management to control these impacts at regional scale. This study analyses and compares three spatially distributed models for the prediction of soil erosion and/or sediment yield at regional scales: the WATEM-SEDEM model that is based on the empirical Revised Universal Soil Loss Equation (RUSLE) in combination with a sediment transport equation, the physics-based Pan European Soil Erosion Risk Assessment model (PESERA), and a newly developed Spatially Distributed Scoring model (SPADS). The three models were applied to 61 Spanish drainage basins and model predictions were evaluated against data on measured reservoir sedimentation rates. Global data sets on land use, climate, elevation and soil characteristics were used as model input for WATEM-SEDEM and SPADS, whereas published soil erosion estimates of PESERA at 1 km2 resolution were used directly. SPADS and WATEM-SEDEM provided best results after separate calibration for basins with a Sediment Delivery Ratio (SDR) higher than 5% and those with an SDR lower than 5%. In this way, SPADS explained 67% of variation in sediment yield, while WATEM-SEDEM explained 48% of the variation. PESERA represents a promising alternative to the use of empirical models at the regional scale as it can be applied to very diverse environments with little calibration. However, PESERA provides soil erosion rates and not sediment yield estimates. For most basins PESERA soil erosion rates vary between fifty and close to zero percent of total sediment yield. Two major factors may explain this discrepancy between modelled soil erosion rates and measured sediment yield. First, it may be that PESERA underestimates soil erosion under Mediterranean conditions, although PESERA soil erosion rates are of the same order of magnitude as erosion rates measured in erosion plot studies. Second, gully-, river channel erosion and sediment transport processes may be much more important than sheet- and rill erosion for regional scale sediment yield in these environments. These issues therefore require further attention in future model development. Although spatially lumped models provide better predictions of sediment yield at the basin scale, and while validation of the predicted spatial patterns of sources and sinks of sediment requires further research, spatially distributed models are expected to be of value to support management decisions regarding the assessment of on-site and off-site impacts of erosion at the regional scale. [Copyright &y& Elsevier]