References

  1. W. Ouyang, F.H. Hao, A.K. Skidmore, A.G. Toxopeus, Soil erosion and sediment yield and their relationships with vegetation cover in upper stream of the Yellow River, Sci. Total Environ., 409 (2010) 396–403.
  2. S. Issak, M.A. Ashraf, Impact of soil erosion and degradation on water quality: a review, Geol. Ecol. Landscape, 1 (2017) 1–11.
  3. M. Arabi, J.R. Frankenberger, B.A. Engel, J.G. Arnold, Representation of agricultural conservation practices with SWAT, Hydrol. Processes, 22 (2008) 3042–3055.
  4. P. Tuppad, N. Kannan, R. Srinivasan, C.G. Rossi, J.G. Arnold, Simulation of agricultural management alternatives for watershed protection, Water Resour. Manage., 24 (2010) 3115–3114.
  5. B.J. Love, A.P. Nejadhashemi, Water quality impact assessment of large-scale biofuel crops expansion in agricultural regions of Michigan, Biomass Bioenergy, 35 (2011) 2200–2216.
  6. R.G. Nelson, J.C. Ascough II, M.R. Langemeier, Environmental and economic analysis of switchgrass production for water quality improvement in northeast Kansas, J. Environ. Manage., 79 (2006) 336–347.
  7. X.V. Zhou, C.D. Clark, S.S. Nair, S.A. Hawkins, D.M. Lambert, Environmental and economic analysis of using SWAT to simulate the effects of switchgrass production on water quality in an impaired watershed, Agric. Water Manage., 160 (2015) 1–13.
  8. H.K. Kim, P.B. Parajuli, S.D. Filip To, Assessing impacts of bioenergy crops and climate change on hydrometeorology in the Yazoo River Basin, Mississippi, Agric. For. Meteorol., 160 (2013) 61–73.
  9. T.A. Dahl, A.D. Kendall, D.W. Hyndman, Impacts projected climate change on sediment yield and dredging costs, Hydrol. Processes, 32 (2018) 1223–1234.
  10. N.S. Bosch, M.A. Evans, D. Scavia, J.D. Allan, Interacting effects of climate change and agricultural BMPs on nutrient runoff entering Lake Erie, J. Great Lakes Res., 40 (2014) 581–589.
  11. I. Chaubey, L. Chiang, M.W. Gitau, S. Mohamed, Effectiveness of best management practices in improving water quality in a pasture-dominated watershed, J. Soil Water Conserv., 65 (2010) 424–437.
  12. S.A. Woznicki, A.P. Nejadhashemi, C.M. Smith, Assessing best management practice implementation strategies under climate change scenarios, Trans. ASABE, 54 (2011) 171–190.
  13. MDEQ, Total Maximum Daily Load Nutrients for Bogue Phalia, Mississippi Department of Environment Quality, USA, 2008.
  14. J.G. Arnold, R. Srinivasan, R.S. Muttiah, J.R. Williams, Large area hydrologic modeling and assessment. Part I: model development, J. Am. Water Resour. Assoc., 34 (1998) 73–89.
  15. S.L. Neitsch, J.G. Arnold, J.R. Kiniry, J.R. Wiliams, Soil and Water Assessment Tool Theoretical Documentation, Version 2005, Blackland Research Center, Grassland, Soil and Water Research Laboratory, Agricultural Research Service, Temple, TX, USA, 2005.
  16. J.R. Williams, H.D. Berndt, Sediment yield prediction based on watershed hydrology, Trans. ASABE, 20 (1977) 1100–1104.
  17. USGS, National Elevation Dataset, U.S. Geological Survey, Reston, VA, USA, 2007. Available at: https://viewer.nationalmap. gov/advanced-viewer/.
  18. USGS-NASS, Cropland Data Layer for Mississippi, U.S. Geological Survey-National Agricultural Statistics Service, Washington, DC, USA, 2010. Available at: https://www.nass. usda.gov/Research_and_Science/Cropland/SARS1a.php.
  19. USDA-NRCS, Soil Survey Geographic (SSURGO) Database for Mississippi, U.S. Department of Agriculture-Natural Resources Conservation Service, Washington, DC, USA, 2011. Available at: http://datagateway.nrcs.usda.gov.
  20. NCDC, Land-based Station Data, National Climatic Data Center, Asheville, NC, USA, 2011. Available at: https://www. ncdc.noaa.gov/data-access/land-based-station-data.
  21. NOAA/ESRL, Trends in Atmospheric Carbon Dioxide, National Oceanic and Atmospheric Administration/Earth System Research Laboratory, Boulder, CO, USA, 2012. Available at: http://www.esrl.noaa.gov/gmd/ccgg/trends/.
  22. G.D. Betrie, Y.A. Mohamed, A. van Griensven, R. Srinivasan, Sediment management modelling in the Blue Nile Basin using SWAT model, Hydrol. Earth Syst. Sci., 15 (2011) 807–818.
  23. P.B. Parajuli, P. Jayakody, G.F. Sassenrath, Y. Ouyang, J.W. Pote, Assessing the impacts of crop-rotation and tillage on crop yields and sediment yield using a modeling approach, Agric. Water Manage., 119 (2013) 32–42.
  24. D.N. Moriasi, J.G. Arnold, M.W. Van Liew, R.L. Bingner, R.D. Harmel, T.L. Veith, Model evaluation guidelines for systematic quantification of accuracy in watershed simulations, Trans. ASABE, 50 (2007) 885–900
  25. T.L. Delworth, A.J. Broccoli, A. Rosati, R.J. Stouffer, V. Balaji, J.A. Beesley, W.F. Cooke, K.W. Dixon, J. Dunne, K.A. Dunne, J.W. Durachta, K.L. Findell, P. Ginoux, A. Gnanadesikan, C.T. Gordon, S.M. Griffies, R. Gudgel, M.J. Harrison, I.M. Held, R.S. Hemler, L.W. Horowitz, S.A. Klein, T.R. Knutson, P.J. Kushner, A.R. Langenhorst, H.-C. Lee, S.-J. Lin, J. Lu, S.L. Malyshev, P.C.D. Milly, V. Ramaswamy, J. Russell, M. Daniel Schwarzkopf, E. Shevliakova, J. J. Sirutis, M.J. Spelman, W.F. Stern, M. Winton, A.T. Wittenberg, B. Wyman, F. Zeng, R. Zhang, GFDL’s CM2 global coupled climate models. Part I: formulation and simulation characteristics, J. Clim., 19 (2006) 643–674.
  26. IPCC (Intergovernmental Panel on Climate Change), Climate Change 2007: The Physical Science Basis, Contribution of Working Group I to the Fourth Assessment Report of the Intergovermental Panel on Climate Change, Cambridge University Press, Cambridge, UK, 2007.
  27. P. Racsko, L. Szeidl, M. Semenov, A serial approach to local stochastic weather models, Ecol. Modell., 57 (1991) 27–41.
  28. M.A. Semenov, E.M. Barrow, Use of a stochastic weather generator in the development of climate changes scenarios, Clim. Change, 35 (1997) 397–414.
  29. M.A. Semenov, E.M. Barrow, LARS-WG: A Stochastic Weather Generator for Use in Climate Impact Studies, Version 3.0 User Manual, Rothamsted Research, Harpenden, Hertfordshire AL5 2JQ, UK, 2002.
  30. A.N. Sharpley, J.R. Williams, Erosion/Productivity Impact Calculator: 1. Model Documentation, Tech. Bulletin 1768, U.S. Department of Agriculture, Agricultural Research Service, Washington, DC, USA, 1990.
  31. M. Strauch, J.E.F.W. Lima, M. Volk, C. Lorz, F. Makeschin, The impact of best management practices on simulated streamflow and sediment load in a Central Brazilian catchment, J. Environ. Manage., 127 (2013) S24–S36.
  32. D. Waidler, M.J. White, E.M. Steglich, S. Wang, J. Williams, C.A. Jones, R. Srinivasan, Conservation Practice Modeling Guide for SWAT and APEX, Texas Water Resources Institute Technical Report No. 339, College Station, Texas, USA, 2011.
  33. Y.P. Wu, S.G. Liu, O.I. Abdul-Aziz, Hydrological effects of the increased CO2 and climate change in the Upper Mississippi River Basin using a modified SWAT, Clim. Change, 110 (2012) 977–1003.
  34. G.C. Hickman, A. Vanloocke, F.G. Dohleman, C.J. Bernacchi, A comparison of canopy evapotranspiration for maize and two perennial grasses identified as potential bioenergy crop, Global Change Biol. Bioenergy, 2 (2010) 157–168.
  35. P.V.V. Le, P. Kumar, D.T. Drewry, Implications for the hydrologic cycle under climate change due to the expansion of bioenergy crops in the Midwestern United States, Proc. Natl. Acad. Sci. U.S.A., 108 (2011) 15085–15090.