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Journal of Soils and Sediments

, Volume 11, Issue 8, pp 1440–1455 | Cite as

Assessing the potential effect of different land cover management practices on sediment yield from an abandoned farmland catchment in the Spanish Pyrenees

  • Manuel López-VicenteEmail author
  • Noemí Lana-Renault
  • José Maria García-Ruiz
  • Ana Navas
SEDIMENTS, SEC 3 · HILLSLOPE AND RIVER BASIN SEDIMENT DYNAMICS · RESEARCH ARTICLE

Abstract

Purpose

Sediment delivery from headwater catchments to reservoirs is a serious threat to reservoir sustainability and is a critical issue in Mediterranean environments where water resources are scarce. In this study we assessed the consequences of two landscape management scenarios (natural vegetation recovery and scrub clearance) on soil erosion and sediment yield. The results were analyzed in relation to predicted and measured rates of soil erosion and sediment yield, with the aim of promoting better management practices.

Materials and methods

The study area was the Arnás River catchment (284 ha), which is located in the central Spanish Pyrenees; the area includes abandoned and poorly managed fields. The combination of the RUSLE and SEDD models of soil erosion and sediment delivery was evaluated in terms of its ability to predict annual rates of sediment yield, using field measurement data for seven water years at the gauging station. The consequences of natural plant succession in other areas of the Spanish Pyrenees and scrub clearance practices implemented by certain regional governments to increase grazing meadow areas and reduce the incidence of wildfires were spatially analyzed using GIS. The main sediment source areas were identified, and their specific and total sediment yields were calculated.

Results and discussion

The predicted soil loss under existing conditions was 2.6 Mg ha−1 year−1, with 5% of the surface area affected by rates greater than 2 Mg. The measured sediment yield range was 69–534 Mg year−1. The maximum sediment yield detected was associated with an extraordinary debris flow. The predicted rates were strongly correlated to measured rates (Nash–Sutcliffe coefficient = 0.72). The main sources were alluvial deposits [specific sediment yield (SSY) = 51 Mg ha−1 year−1], bare soil (SSY = 12), unpaved trails (SSY = 11), lots (SSY = 4), and pastures (SSY = 1). Under a scenario of vegetation recovery, decreases of 3%, 17%, and 16% in soil loss and sediment delivery and yield (respectively) are predicted, whereas increases of 15%, 5%, and 2% are predicted following scrub clearance practices.

Conclusions

Coupling the RUSLE and SEDD models enabled estimation of annual values of soil erosion and sediment delivery in monitored and unmonitored catchments of small and medium size, making this approach a useful tool for risk analysis. Management practices that combine fire-risk control, by the implementation of scrub clearance practices, with the effects of plant succession on sediment production are suggested as the best management strategy.

Keywords

Pyrenees RUSLE model SEDD model Sediment yield Soil erosion Suspended sediment 

Notes

Acknowledgements

This research was financially supported by the projects: “Soil erosion and carbon dynamic in Mediterranean agroecosystems: radioisotopic modelling at different spatial and temporal scales” (MEDEROCAR, CGL2008-00831/BTE) and “Processes and sediment balances at different spatial scales in Mediterranean environments: effects of climate fluctuations and land use changes” (PROBASE, CGL2006-11619/HID), both funded by the Spanish Ministry of Science and Innovation. Monitoring of the catchment was supported by an agreement between the CSIC and the Spanish Ministry of Environment (RESEL).

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Copyright information

© Springer-Verlag 2011

Authors and Affiliations

  • Manuel López-Vicente
    • 1
    Email author
  • Noemí Lana-Renault
    • 2
  • José Maria García-Ruiz
    • 3
  • Ana Navas
    • 1
  1. 1.Department of Soil and WaterEEAD-CSICZaragozaSpain
  2. 2.Área de Geografía, Departamento de Ciencias HumanasUniversidad de La RiojaLogroñoSpain
  3. 3.Department of Geo-environmental Processes and Global ChangeIPE-CSICZaragozaSpain

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