Routing runoff and soil particles in a distributed model with GIS: implications for soil protection in mountain agricultural landscapes

López‐Vicente, Manuel; Izquierdo, Ana Navas

doi:10.1002/ldr.901

Cited by 30 publications

(17 citation statements)

References 32 publications

(33 reference statements)

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“…The quantification of the landscape response is increasingly achieved using the concept of landscape connectivity, which describes the water‐mediated sediment fluxes within a catchment (Bracken & Croke, ; Lexartza‐Artza & Wainwright, ; Fryirs, ). López‐Vicente et al () coupled the modified RMMF soil erosion model (López‐Vicente & Navas, ) with the IC model of sediment connectivity (Borselli et al, ) to map potential sediment reallocations. Marchamalo et al () presented a method to identify hotspots of sediment sources, deposits and their linkages by repeatedly field mapping after rainfall events.…”

Section: Discussionmentioning

confidence: 99%

Sediment Reallocations due to Erosive Rainfall Events in the Three Gorges Reservoir Area, Central China

et al. 2016

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Soil erosion by water outlines a major threat to the Three Gorges Reservoir Area in China. A detailed assessment of soil conservation measures requires a tool that spatially identifies sediment reallocations due to rainfall-runoff events in catchments. We applied EROSION 3D as a physically based soil erosion and deposition model in a small mountainous catchment. Generally, we aim to provide a methodological frame that facilitates the model parametrization in a data scarce environment and to identify sediment sources and deposits. We used digital soil mapping techniques to generate spatially distributed soil property information for parametrization. For model calibration and validation, we continuously monitored the catchment on rainfall, runoff and sediment yield for a period of 12 months. The model performed well for large events (sediment yield > 1 Mg) with an averaged individual model error of 7.5%, while small events showed an average error of 36.2%. We focused on the large events to evaluate reallocation patterns. Erosion occurred in 11.1% of the study area with an average erosion rate of 49.9 Mg ha À1 . Erosion mainly occurred on crop rotation areas with a spatial proportion of 69.2% for 'corn-rapeseed' and 69.1% for 'potato-cabbage'. Deposition occurred on 11.0%. Forested areas (9.7%), infrastructure (41.0%), cropland (corn-rapeseed: 13.6%, potatocabbage: 11.3%) and grassland (18.4%) were affected by deposition. Because the vast majority of annual sediment yields (80.3%) were associated to a few large erosive events, the modelling approach provides a useful tool to spatially assess soil erosion control and conservation measures.

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Section: Discussionmentioning

confidence: 99%

Sediment Reallocations due to Erosive Rainfall Events in the Three Gorges Reservoir Area, Central China

et al. 2016

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“…As the two WSs are located at similar elevations and distances from the study area, we assumed that the same rainfall events affected the three sites. In similar Mediterranean landscapes without a WS within the study site, López-Vicente and Navas [47] and López-Vicente et al [48] generated synthetic WSs to study and model runoff and soil erosion processes. De Oliveira et al [49] also used synthetic rainfall series to estimate rainfall erosivity in Brazil.…”

Section: Rainfall Data and Topsoil Water Contentmentioning

confidence: 99%

Soil and Water Conservation in Rainfed Vineyards with Common Sainfoin and Spontaneous Vegetation under Different Ground Conditions

Ben-Salem

Álvarez

López‐Vicente

2018

Water

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Soil erosion seriously affects vineyards. In this study, the influence of two vegetation covers on topsoil moisture and the effect of different physiographic conditions on runoff and sediment yields were evaluated in a rainfed vineyard formed by four fields (NE Spain) during 15 months. One field had spontaneous vegetation in the inter-row areas, and three fields had a cover crop of common sainfoin. Moisture conditions were dry and stable in the vineyards' rows, wet and very variable in the inter-row areas and wet and very stable in the corridors. Topsoil moisture in the areas with common sainfoin was much higher than in the rows (62-70%), whereas this difference was lower with spontaneous vegetation (40%). Two runoff and sediment traps (STs) were installed in two ephemeral gullies, and 26 time-integrated surveys (TIS) were done. The mean runoff yields were 9.8 and 13.5 L TIS −1 in ST2 and ST3. Rainfall depth (12 mm) and erosivity (5.2 MJ mm ha −1 h −1 ) thresholds for runoff initiation were assessed. The mean turbidity was 333 (ST2) and 19 (ST3) g L −1 . Changes in the canopy covers (grapevines and vegetation covers), topography and rainfall parameters explained the runoff and sediment dynamics.

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“…It is one of the most commonly applied models to estimate soil erosion [32][33][34], although RUSLE was developed to be applied to one dimensional hill slopes which do not examine the related process of deposition [15,35] and, thus, RUSLE's conceptualization only permits soil loss to be estimated. One of the limitations of the RUSLE model is that it cannot estimate deposition.…”

Section: Introductionmentioning

confidence: 99%

Simulating the Impact of Future Land Use and Climate Change on Soil Erosion and Deposition in the Mae Nam Nan Sub-Catchment, Thailand

et al. 2013

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This paper evaluates the possible impacts of climate change and land use change and its combined effects on soil loss and net soil loss (erosion and deposition) in the Mae Nam Nan sub-catchment, Thailand. Future climate from two general circulation models (GCMs) and a regional circulation model (RCM) consisting of HadCM3, NCAR CSSM3 and PRECIS RCM ware downscaled using a delta change approach. Cellular Automata/Markov (CA_Markov) model was used to characterize future land use. Soil loss modeling using Revised Universal Soil Loss Equation (RUSLE) and sedimentation modeling in Idrisi software were employed to estimate soil loss and net soil loss under direct impact (climate change), indirect impact (land use change) and full range of impact (climate and land use change) to generate results at a 10 year interval between 2020 and 2040. Results indicate that soil erosion and deposition increase or decrease, depending on which climate and land use scenarios are considered. The potential for climate change to increase soil loss rate, soil erosion and deposition in future periods was established, whereas considerable decreases in erosion are projected when land use is increased from baseline periods. The combined climate and land use change analysis revealed that land use OPEN ACCESSSustainability 2013, 5 3245 planning could be adopted to mitigate soil erosion and deposition in the future, in conjunction with the projected direct impact of climate change.

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Routing runoff and soil particles in a distributed model with GIS: implications for soil protection in mountain agricultural landscapes

Cited by 30 publications

References 32 publications

Sediment Reallocations due to Erosive Rainfall Events in the Three Gorges Reservoir Area, Central China

Sediment Reallocations due to Erosive Rainfall Events in the Three Gorges Reservoir Area, Central China

Soil and Water Conservation in Rainfed Vineyards with Common Sainfoin and Spontaneous Vegetation under Different Ground Conditions

Simulating the Impact of Future Land Use and Climate Change on Soil Erosion and Deposition in the Mae Nam Nan Sub-Catchment, Thailand

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