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Modelling the Impact of Climate Change and Agricultural Management Practices on Soil Erosion in the Agricultural Basin of Lakes Prespa

Year 2017, Volume: 12 Issue: 4, 285 - 293, 30.12.2017

Abstract

Soil erosion and sedimentation are a problem of interest for many land
uses across the Albania, particularly for agricultural areas where the soil
surface is disturbed by harvest, planting, and cultivation of the soil. The
objective of this study was to investigate the effects of climate change and
agricultural land management on surface erosion and suspended sediment
concentrations in the Lakes Prespa basin. Many hydrological models have been
developed which examine suspended sediment. The DHSVM (Distributed Hydrology
Soil Vegetation Model) model was used to evaluate channel and soil surface
erosion, as well as sediment yield in streams. In this study, the DHSVM model
was calibrated using data for the period of (2010–2016), and was also used to
predict results for the year 2045 using statistically downscaled global climate
data. The results show that as the projected climate–driven intensity of storms
increase, more runoff is predicted in the Lakes Prespa basin. Three tillage
scenarios were incorporated into DHSVM for winter wheat cultivation:
conventional till, reduced till, and no till. Sensitivity of the model to
surface erosion and changes in channel sediment bed depth were both evaluated
for several parameters that relate to erosion. Observations have shown that
suspended sediment concentrations can drastically increase, but model results
do not yet display large fluctuations in suspended sediment concentrations
which are typically observed in nature as a result of storm and erosion events.
In the long term, continued improvements to this preliminary model of the Lakes
Prespa basin can provide better insight into the effects of climate change on
the riparian habitat of carp in the basin and the sediment budget of the
surrounding area.

References

  • Cammeraat E, (2004) Scale dependent thresholds in hydrological and erosion response of a semi-arid catchment in southeast Spain, Agriculture Ecosystems & Environment, 104, 317–332.
  • Cuo L, Lettenmaier D, Alberti M, Richey J, (2009) Effects of a century of land cover and climate change on the hydrology of the Puget Sound basin, Hydrological Processes, 23, 907-933.
  • Doten CO, Lettenmaier DP, (2004) Prediction of Sediment Erosion and Transport with the Distributed Hydrology–Soil–Vegetation Model, edited, Seattle, WA.
  • Doten C, Bowling L, Lanini J, Maurer E, Lettenmaier D, (2006) A spatially distributed model for the dynamic prediction of sediment erosion and transport in mountainous forested watersheds, Water Resources Research, 42, 1–15.
  • Elsner M, Cuo L, Voisin N, Deems J, Hamlet A, Vano J, Mickelson K, Lee S, Lettenmaier D, (2010) Implications of 21st century climate change for the hydrology of Washington State, Climatic Change, 102, 225–260. Fu G, Chen S, McCool D, (2006) Modeling the impacts of no-till practice on soil erosion and sediment yield with RUSLE, SEDD, and ArcView GIS, Soil & Tillage Research, 85, 38–49.
  • Kassie, M., Zikhali, P., Manjur, K., Edwards, S. (2009). Adoption of Sustainable Agriculture Practices: Evidence from a Semi–arid Region of Ethiopia, Natural Resources Forum 39, 189–198.
  • Kok H, Papendick R, Saxton K, (2009). STEEP: Impact of long-term conservation farming research and education in Pacific Northwest wheatlands, Journal of Soil and Water Conservation, 64: 253–264.
  • Maurer, E Wood, A Adam, J Lettenmaier, D Nijssen, B. (2002). A long–term hydrologically based dataset of land surface fluxes and states for the conterminous United States, Journal of Climate, 15: 3237–3251.
  • McCool DK, Foster GR, Yoder DC, Weesies GA, McGregor KC, Bingner RL, (2003) Revised Universal Soil Loss Equation, Version 2. U.S. Department of Agriculture–Agricultural Research Service, Washington, D.C 77 pp. Meerkerk AL, van Wesemael B, Bellin N, (2009) Application of connectivity theory to model the impact of terrace failure on runoff in semi-arid catchments, 23,: 2792–2803.
  • Mote, P. & Salathe, E. (2010). Future climate in the Pacific Northwest, Climatic Change, 102: 29–50. Nash JE, Sutcliffe JV, (1970) River flow forecasting through conceptual models. Part 1 – a discussion of principles, Journal of Hydrology, 10, 282–290.
  • Rai RK, Mathur, BS, (2007). Event-Based Soil Erosion Modeling of Small Watersheds, Journal of Hydraulic Engineering, 12: 559–572.
  • Renard KG, Foster GR, Weesies GA, McCool DK, Yoder DC, (1997) Predicting soil erosion by water: a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE). U.S. Department of Agriculture, Agriculture Handbook No. 703, pp. 404.
  • Smith RE, Parlange JY, (1978) A Parameter–Efficient Hydrologic Infiltration Model, Water Resources Research, 14, 533-538.
  • Teasdale G, Barber M (2008) Aerial Assessment of Ephemeral Gully Erosion from Agricultural Regions in the Pacific Northwest, J. Irrigation & Drainage Engineering–ASCE, 134, 807–814.
  • Whitaker, A, Alila, Y, Beckers J, Toews D, (2003). Application of the distributed hydrology soil vegetation model to redfish creek, British Columbia: model evaluation using internal catchment data, Hydrological Processes, 17, 199–224.
  • Wigmosta MS, Vail L, Lettenmaie D, (1994) A distributed hydrology-vegetation model for complex terrain, Water Resources Research, 30, 1665–1679.
Year 2017, Volume: 12 Issue: 4, 285 - 293, 30.12.2017

Abstract

References

  • Cammeraat E, (2004) Scale dependent thresholds in hydrological and erosion response of a semi-arid catchment in southeast Spain, Agriculture Ecosystems & Environment, 104, 317–332.
  • Cuo L, Lettenmaier D, Alberti M, Richey J, (2009) Effects of a century of land cover and climate change on the hydrology of the Puget Sound basin, Hydrological Processes, 23, 907-933.
  • Doten CO, Lettenmaier DP, (2004) Prediction of Sediment Erosion and Transport with the Distributed Hydrology–Soil–Vegetation Model, edited, Seattle, WA.
  • Doten C, Bowling L, Lanini J, Maurer E, Lettenmaier D, (2006) A spatially distributed model for the dynamic prediction of sediment erosion and transport in mountainous forested watersheds, Water Resources Research, 42, 1–15.
  • Elsner M, Cuo L, Voisin N, Deems J, Hamlet A, Vano J, Mickelson K, Lee S, Lettenmaier D, (2010) Implications of 21st century climate change for the hydrology of Washington State, Climatic Change, 102, 225–260. Fu G, Chen S, McCool D, (2006) Modeling the impacts of no-till practice on soil erosion and sediment yield with RUSLE, SEDD, and ArcView GIS, Soil & Tillage Research, 85, 38–49.
  • Kassie, M., Zikhali, P., Manjur, K., Edwards, S. (2009). Adoption of Sustainable Agriculture Practices: Evidence from a Semi–arid Region of Ethiopia, Natural Resources Forum 39, 189–198.
  • Kok H, Papendick R, Saxton K, (2009). STEEP: Impact of long-term conservation farming research and education in Pacific Northwest wheatlands, Journal of Soil and Water Conservation, 64: 253–264.
  • Maurer, E Wood, A Adam, J Lettenmaier, D Nijssen, B. (2002). A long–term hydrologically based dataset of land surface fluxes and states for the conterminous United States, Journal of Climate, 15: 3237–3251.
  • McCool DK, Foster GR, Yoder DC, Weesies GA, McGregor KC, Bingner RL, (2003) Revised Universal Soil Loss Equation, Version 2. U.S. Department of Agriculture–Agricultural Research Service, Washington, D.C 77 pp. Meerkerk AL, van Wesemael B, Bellin N, (2009) Application of connectivity theory to model the impact of terrace failure on runoff in semi-arid catchments, 23,: 2792–2803.
  • Mote, P. & Salathe, E. (2010). Future climate in the Pacific Northwest, Climatic Change, 102: 29–50. Nash JE, Sutcliffe JV, (1970) River flow forecasting through conceptual models. Part 1 – a discussion of principles, Journal of Hydrology, 10, 282–290.
  • Rai RK, Mathur, BS, (2007). Event-Based Soil Erosion Modeling of Small Watersheds, Journal of Hydraulic Engineering, 12: 559–572.
  • Renard KG, Foster GR, Weesies GA, McCool DK, Yoder DC, (1997) Predicting soil erosion by water: a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE). U.S. Department of Agriculture, Agriculture Handbook No. 703, pp. 404.
  • Smith RE, Parlange JY, (1978) A Parameter–Efficient Hydrologic Infiltration Model, Water Resources Research, 14, 533-538.
  • Teasdale G, Barber M (2008) Aerial Assessment of Ephemeral Gully Erosion from Agricultural Regions in the Pacific Northwest, J. Irrigation & Drainage Engineering–ASCE, 134, 807–814.
  • Whitaker, A, Alila, Y, Beckers J, Toews D, (2003). Application of the distributed hydrology soil vegetation model to redfish creek, British Columbia: model evaluation using internal catchment data, Hydrological Processes, 17, 199–224.
  • Wigmosta MS, Vail L, Lettenmaie D, (1994) A distributed hydrology-vegetation model for complex terrain, Water Resources Research, 30, 1665–1679.
There are 16 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Alma Ahmeti This is me

Spiro Grazhdani This is me

Adriana Zyfi This is me

Publication Date December 30, 2017
Acceptance Date November 28, 2017
Published in Issue Year 2017 Volume: 12 Issue: 4

Cite

APA Ahmeti, A., Grazhdani, S., & Zyfi, A. (2017). Modelling the Impact of Climate Change and Agricultural Management Practices on Soil Erosion in the Agricultural Basin of Lakes Prespa. Journal of International Environmental Application and Science, 12(4), 285-293.
AMA Ahmeti A, Grazhdani S, Zyfi A. Modelling the Impact of Climate Change and Agricultural Management Practices on Soil Erosion in the Agricultural Basin of Lakes Prespa. J. Int. Environmental Application & Science. December 2017;12(4):285-293.
Chicago Ahmeti, Alma, Spiro Grazhdani, and Adriana Zyfi. “Modelling the Impact of Climate Change and Agricultural Management Practices on Soil Erosion in the Agricultural Basin of Lakes Prespa”. Journal of International Environmental Application and Science 12, no. 4 (December 2017): 285-93.
EndNote Ahmeti A, Grazhdani S, Zyfi A (December 1, 2017) Modelling the Impact of Climate Change and Agricultural Management Practices on Soil Erosion in the Agricultural Basin of Lakes Prespa. Journal of International Environmental Application and Science 12 4 285–293.
IEEE A. Ahmeti, S. Grazhdani, and A. Zyfi, “Modelling the Impact of Climate Change and Agricultural Management Practices on Soil Erosion in the Agricultural Basin of Lakes Prespa”, J. Int. Environmental Application & Science, vol. 12, no. 4, pp. 285–293, 2017.
ISNAD Ahmeti, Alma et al. “Modelling the Impact of Climate Change and Agricultural Management Practices on Soil Erosion in the Agricultural Basin of Lakes Prespa”. Journal of International Environmental Application and Science 12/4 (December 2017), 285-293.
JAMA Ahmeti A, Grazhdani S, Zyfi A. Modelling the Impact of Climate Change and Agricultural Management Practices on Soil Erosion in the Agricultural Basin of Lakes Prespa. J. Int. Environmental Application & Science. 2017;12:285–293.
MLA Ahmeti, Alma et al. “Modelling the Impact of Climate Change and Agricultural Management Practices on Soil Erosion in the Agricultural Basin of Lakes Prespa”. Journal of International Environmental Application and Science, vol. 12, no. 4, 2017, pp. 285-93.
Vancouver Ahmeti A, Grazhdani S, Zyfi A. Modelling the Impact of Climate Change and Agricultural Management Practices on Soil Erosion in the Agricultural Basin of Lakes Prespa. J. Int. Environmental Application & Science. 2017;12(4):285-93.

“Journal of International Environmental Application and Science”