Abstract

Soil erosion from agricultural areas is a large problem, because of off-site effects like the rapid filling of reservoirs. To mitigate the problem of sediments from agricultural areas reaching the channel, reservoirs and other surface waters, it is important to understand hillslope-channel connectivity and catchment connectivity. To determine the functioning of hillslope-channel connectivity and the continuation of transport of these sediments in the channel, it is necessary to obtain data on sediment transport from the hillslopes to the channels. Simultaneously, the factors that influence sediment export out of the catchment need to be studied. For measuring hillslope-channel sediment connectivity, Rare-Earth Oxide (REO) tracers were applied to a hillslope in an agricultural catchment in Navarre, Spain, preceding the winter of 2014-2015. The results showed that during the winter no sediment transport from the hillslope to the channel was detected.To test the implication of the REO results at the catchment scale, two contrasting conceptual models for sediment connectivity were assessed using a Random Forest (RF) machine learning method. The RF method was applied using a 15-year period of measured sediment output at the catchment scale. One model proposes that small events provide sediment for large events, while the other proposes that only large events cause sediment detachment and small events subsequently remove these sediments from near and in the channel. For sediment yield prediction of small events, variables related to large preceding events were the most important. The model for large events underperformed and, therefore, we could not draw any immediate conclusions whether small events influence the amount of sediment exported during large events. Both REO tracers and RF method showed that low intensity events do not contribute any sediments from the hillslopes to the channel in the Latxaga catchment. Sediment dynamics are dominated by sediment mobilisation during large (high intensity) events. Sediments are for a large part exported during those events, but the system shows a memory of the occurrence of these large events, suggesting that large amounts of sediments are deposited in and near the channel after these events. These sediments are gradually removed by small events. To better understand the delivery of sediments to the channel and how large and small events influence each other more field data on hillslope-channel connectivity and within-channel sediment dynamics is necessary.

Highlights

  • Soil erosion in agricultural areas is a large problem worldwide, because of a loss of productivity (Cerdà et al, 2009; García-Orenes et al, 2009), and because of off-site effects like the rapid filling of reservoirs (Ben Slimane et al, 2016; Mekonnen et al., 2017; Poesen and Hooke, 1997)

  • We looked at hillslope-channel connectivity, factors influencing sediment connectivity and sediment export out of the agricultural Latxaga catchment in Navarre, Spain

  • Forest (RF) machine learning method, which was applied to the entire dataset (N=2451 days) and two subsets of the whole dataset: small events (N=2319 days) days and large events (N=132 days)

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Summary

Introduction

Soil erosion in agricultural areas is a large problem worldwide, because of a loss of productivity (Cerdà et al, 2009; García-Orenes et al, 2009), and because of off-site effects like the rapid filling of reservoirs (Ben Slimane et al, 2016; Mekonnen et al., 2017; Poesen and Hooke, 1997). One of the most recent concepts of connectivity suggests that small events “liberate” sediments which concentrate on the lower parts of the hillslopes and channel, gradually increasing sediment connectivity (Bracken et al, 2015). Most of these sediments do not reach the outlet of the catchment during those small events. These sediments are subsequently exported from the catchment, causing high sediment discharge at the outlet This to some extent contrasts with the study of Cammeraat (2002), who showed that during small events only small pockets within a catchment are active and have only a very minor (or no) connection to the channels. Supporting this model, a study of Thompson et al (2016)

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