Assessing impacts of bioenergy crops and climate change on hydrometeorology in the Yazoo River Basin, Mississippi

Agricultural and Forest Meteorology

Volumn 169, Issue , 2013, Pages 61-73

  Kim, Hak Kwan ^a   Parajuli, Prem B ^a   Filip To, S D ^a  

^a MISSISSIPPI STATE UNIVERSITY   (United States)

Author keywords

GFDL CM2.1; LARS WG; Miscanthus; SWAT; Switchgrass

Indexed keywords

ASSESSMENT METHOD; BIOENERGY; CALIBRATION; CARBON DIOXIDE; CLIMATE EFFECT; CLIMATE MODELING; CROP PRODUCTION; CROP YIELD; ENERGY CROP; ENVIRONMENTAL IMPACT; EVAPOTRANSPIRATION; GRASS; HYDROMETEOROLOGY; MAIZE; MODEL VALIDATION; NUMERICAL MODEL; RUNOFF; SOYBEAN; STREAMFLOW; SURFACE WATER; WATERSHED;

MISSISSIPPI; UNITED STATES; YAZOO BASIN;

GLYCINE MAX; MISCANTHUS; PANICUM VIRGATUM; ZEA MAYS;

EID: 84869864409     PISSN: 01681923     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agrformet.2012.10.007     Document Type: Article

References (76)

1. Arnold J.G., Srinivasan R., Muttiah R.S., Wiliams J.R. Large-area hydrologic modeling and assessment. Part I: model development. J. Am. Water Resour. Assoc. 1998, 34(1):73-89.
2. Babel M.S., Perret B., Shrestha S.R. Hydrological impact of biofuel production: a case study of the Khlong Phlo Watershed in Thailand. Agric. Water Manage. 2011, 101(1):8-26.
3. Barlage M.J., Richards P.L., Sousounis P.J., Brenner A.J. Impacts of climate change and land use change on runoff from a Great Lakes watershed. J. Great Lakes Res. 2002, 28(4):568-582.
4. Baskaran L., Jager H.I., Schweizer P.E., Srinivasan R. Progress toward evaluation the sustainability of switchgrass as a bioenergy crop using the SWAT model. Trans. ASABE 2010, 53(5):1547-1556.
5. Busby D.P., Little R.D., Shaik S., Martins A., Epplin F.M., Hwang S., Baldwin B.S., Taliaferro C.M. Yield and production costs for three potential dedicated energy crops in Mississippi and Oklahoma environments. Southern Agricultural Economics Association Meeting 2007.
6. Chen J., Avise J., Guenther A., Wiedinmyer C., Salathe E., Jackson R.B., Lamb B. Future land use and land cover influence on regional biogenic emissions and air quality in the United States. Atmos. Environ. 2009, 43(36):5771-5780.
7. Davis Todd C.E., Goss A.M., Tripathy D., Harbor J.M. The effects of landscape transformation in a changing climate on local water resources. Phys. Geogr. 2007, 28(1):21-36.
8. DeGraves A. St. Joseph River Watershed Management Plan 2005, Friends of the St. Joe River Association, Athens, MI.
9. Delworth T.L., Broccoli A.J., Rosati A., Stouffer R.J., Balaji V., Beesley J.A., Cooke W.F., Dixon K.W., Dunne J., Dunne K.A., Durachta J.W., Findell K.L., Ginoux P., Gnanadesikan A., Gordon C.T., Griffies S.M., Gudgel R., Harrison M.J., Held I.M., Hemler R.S., Horowitz L.W., Klein S.A., Knutson T.R., Kushner P.J., Langenhorst A.R., Lee H.-C., Lin S.-J., Lu J., Malyshev S.L., Milly P.C.D., Ramaswamy V., Russell J., Schwarzkopf M.D., Shevliakova E., Sirutis J.J., Spelman M.J., Stern W.F., Winton M., Wittenberg A.T., Wyman B., Zeng F., Zhang R. GFDL's CM2 global coupled climate models-Part 1: formulation and simulation characteristics. J. Climate 2006, 19(5):643-674.
10. Dohleman F.G., Long S.P. More productive than maize in the Midwest: how does miscanthus do it?. Plant Physiol. 2009, 150(4):2104-2115.
11. Douglas-Mankin K.R., Srinivasan R., Arnold J.G. Soil and water assessment tool (SWAT) model: current developments and applications. Trans. ASABE 2010, 53(5):1423-1431.
12. Engel B., Chaubey I., Thomas M., Saraswat D., Murphy P., Bhaduri B. Biofuels and water quality: challenges and opportunities for simulation modeling. Biofuels 2010, 1(3):463-477.
13. Ficklin D.L., Luo Y., Luedeling Zhang M. Climate change sensitivity assessment of a highly agricultural watershed using SWAT. J. Hydrol. 2009, 374(1-2):16-29.
14. Fike J.J., Parrish D.J., Wolf D.D., Balasko J.A., Green J.T., Rasnake M., Reynolds J.H. Switchgrass production for the upper southeastern USA: influence of cultivar and cutting frequency on biomass yields. Biomass Bioenergy 2006, 30(3):207-213.
15. Franczyk J., Chang H. The effects of climate change and urbanization on the runoff of the Rock Creek basin in the Portland metropolitan area, Oregon, USA. Hydrol. Process. 2009, 23(6):805-815.
16. Gassman P.W., Reyes M.R., Green C.H., Arnold J.G. The soil and water assessment tool: historical development, applications, and future research. Trans. ASABE 2007, 50(4):1211-1250.
17. Gosain A.K., Rao S., Basuray D. Climate change impact assessment on hydrology of Indian River basins. Curr. Sci. 2006, 90(3):346-353.
18. Guedon N.B., Thomas J.V. State of Mississippi water quality assessment 2004 section 305(b) report addendum. Mississippi Department of Environmental Quality 2004.
19. Heaton E.A., Long S.P., Voigt T.B., Jones M.B., Clifton-Brown J. Miscanthus for renewable energy generation: European Union experience and projections for Illinois. Mitig. Adapt. Strat. Glob. Change 2004, 9(4):434-451.
20. Heaton E.A., Dohleman F.G., Long S.P. Meeting US biofuel goals with less land: the potential of Miscanthus. Global Change Biol. 2008, 14(9):1-15.
21. Herron N., Davis R., Jones R. The effects of large-scale afforestation and climate change on water allocation on the Macquarie River catchment, NSW, Australia. J. Environ. Manage. 2002, 65(4):369-381.
22. Hickman G.C., Vanloocke A., Dohlman F.G., Bernacchi C.J. A comparison of canopy evapotranspiration for maize and two perennial grasses identified as potential bioenergy crop. Global Change Biol. Bioenergy 2010, 2(4):157-168.
23. Hu X., McIsaac G.F., David M.B., Louwer C.A.L. Modeling river nitrate export from an East-Central Illinois watershed using SWAT. J. Environ. Qual. 2007, 36(4):996-1005.
24. Huntington T. Evidence for intensification of the global water cycle: review and synthesis. J. Hydrol. 2006, 319(1-4):83-95.
25. IPCC Climate change 2007: the physical science basis. Contribution of Working Group 1 to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change 2007, Cambridge University Press, Cambridge, United Kingdom/New York, NY, USA. S. Solomon, D. Qun, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M. Tignor, H.L. Miller (Eds.).
26. Jain A.K., Khanna M., Erickson M., Huang H. An integrated biogeochemical and economic analysis of bioenergy crops in the Midwestern United States. Global Change Biol. Bioenergy 2010, 2(5):217-234.
27. Jha M., Arnold J.G., Gassman P.W., Giorgi F., Gu R. Climate change sensitivity assessment on upper Mississippi River basin streamflows using SWAT. J. Am. Water Resour. Assoc. 2006, 42(4):997-1015.
28. Khanna M., Dhungana B., Clifton-Brown J. Costs of producing miscanthus and switchgrass for bioenergy in Illinois. Biomass Bioenergy 2008, 32(6):482-493.
29. Le P.V.V., Kumar P., Drewry D.T. 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.. 2011, 108(37):15085-15090.
30. Love B.J., Nejadhashemi A.P. Water quality impact assessment of large-scale biofuel crops expansion in agricultural regions of Michigan. Biomass Bioenergy 2011, 35(5):2200-2216.
31. Mango L.M., Melesse A.M., McClain M.E., Gann D., Setegn S.G. Land use and climate change impacts on the hydrology of the upper Mara River Basin, Kenya: results of a modeling study to support better resource management. Hydrol. Earth Syst. Sci. 2011, 15(7):2245-2358.
32. Maurer E.P., Adam J.C., Wood A.W. Climate model based consensus on the hydrologic impacts of climate change to the Rio Lempa basin of Central America. Hydrol. Earth Syst. Sci. 2009, 13(2):183-194.
33. McIsaac G.F., David M.B., Mitchell C.A. Miscanthus and switchgrass production in Central Illinois: impacts on hydrology and inorganic nitrogen leaching. J. Environ. Qual. 2010, 39(5):1790-1799.
34. MSUES (Mississippi State University Extension Service) Agronomic Suitability of Bioenergy Crops in Mississippi. Publication 2713 2011, Available from:, (accessed 17.09.12). http://msucares.com/pubs/publications/p2713.pdf.
35. Moriasi D.N., Arnold J.G., Van Liew M.W., Bingner R.L., Harmel R.D., Veith T.L. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans. ASABE 2007, 50(3):885-900.
36. Muttiah R.S., Wurbs R.A. Modeling the impacts of climate change on water supply reliabilities. Water Int. 2002, 27(3):407-419.
37. Nair S.S., King D.W., Witter J.D., Sohngen B.L., Fausey N.R. Importance of crop yield in calibrating watershed water quality simulation tools. J. Am. Water Resour. Assoc. 2011, 47(6):1285-1297.
38. Nash J.E., Sutcliffe J.V. River flow forecasting through conceptual model: Part I. A discussion of principles. J. Hydrol. 1970, 10(3):282-290.
39. NCDC (National Climatic Data Center) Locate Weather Observation Station Record 2011, Available from:, (accessed 11.03.11). http://www.ncdc.noaa.gov/oa/climate/stationlocator.html.
40. Neitsch S.L., Arnold J.G., Kiniry J.R., Wiliams J.R. Soil and Water Assessment Tool Theoretical Documentation, Version 2005 2005, Blackland Research Center, Grassland, Soil and Water Research Laboratory, Agricultural Research Service, Temple, TX.
41. Nelson R.G., Ascough J.C., Langemeier M.R. Environmental and economic analysis of switchgrass production for water quality improvement in northeast Kansas. J. Environ. Manage. 2006, 79(4):336-347.
42. Neukirchen D., Himke M., Lammel J., Czypionka-Krause U., Olfs H.-W. Spatial and temporal distribution of the root system and root nutrient content of an established miscanthus crop. Eur. J. Agron. 1999, 11(3-4):301-309.
43. Ng T.L., Eheart J.W., Cai X., Miguez F. Modeling miscanthus in the soil and water assessment tool (SWAT) to simulate its water quality effects as a bioenergy crop. Environ. Sci. Technol. 2010, 44(18):7138-7144.
44. NOAA/ESRL (National Oceanic and Atmospheric Administration/Earth System Research Laboratory) Trends in Atmospheric Carbon Dioxide 2012, Available from:, (accessed 01.08.12). http://www.esrl.noaa.gov/gmd/ccgg/trends/.
45. Parajuli P.B., Mankin K.R., Barnes P.L. Source specific fecal bacteria modeling using SWAT model. Bioresour. Technol. 2009, 100(2):953-963.
46. Parajuli P.B., Nathan O.N., Lyle D.F., Kyle R.M. Comparison of AnnAGNPS and SWAT model simulation results in USDACEAP agricultural watersheds in south-central Kansas. Hydrol. Process. 2009, 23(5):748-763.
47. Parajuli P.B. Assessing sensitivity of hydrologic responses to climate change from forested watershed in Mississippi. Hydrol. Process. 2010, 24(26):3785-3797.
48. Park J.Y., Park M.J., Joh H.K., Shin H.J., Kwon H.J., Srinivasan R., Kim S.J. Assessment of MIROC3.2 HiRes climate and CLUE-s land use change impact on watershed hydrology using SWAT. Trans. ASABE 2011, 54(5):1713-1724.
49. Perrin R., Vogel K., Schmer M., Mitchell R. Farm-scale production cost of switchgrass for biomass. Bioenerg. Res. 2008, 1(1):91-97.
50. Praskievicz S., Chang H. A review of hydrological modeling of basin-scale climate change and urban development impacts. Prog. Phys. Geogr. 2009, 33(5):650-671.
51. Qin Z., Zhuang Q., Chen M. Impacts of land use change due to biofuel crops on carbon balance, bioenergy production, and agricultural yield, in the conterminous United States. Global Change Biol. Bioenergy 2011, 10.1111/j.1757-1707.2011.01129.x.
52. Racksko P., Szeidl L., Semenov M. A serial approach to local stochastic weather models. Ecol. Model. 1991, 57(1-2):27-41.
53. Rahman M., Bolisetti T., Balachandar R. Effect of climate change on low-flow conditions in the Ruscom River watershed, Ontario. Trans. ASABE 2010, 53(5):1521-1532.
54. Rosenberg N.J., Brown R.A., Izaurralde R.C., Thomson A.M. Integrated assessment of Hadley Centre (HadCM2) climate change projections in agricultural productivity and irrigation water supply in the conterminous United States: I. Climate change scenarios and impacts on irrigation water supply simulated with the HUMUS model. Agric. Forest Meteorol. 2003, 117(1-2):73-96.
55. Schilling K.E., Jha M.K., Zhang Y.K., Gassman P.W., Wolter C.F. Impact of land use and land cover change on the water balance of a large agricultural watershed: historical effects and future directions. Water Resour. Res. 2008, 44:W00A09. 10.1029/2007WR006644.
56. Schmer M.R., Vogel K.P., Mitchell Perrin R.K. Net energy of cellulosic ethanol from switchgrass. Proc. Natl. Acad. Sci U.S.A.. 2008, 105(2):464-469.
57. Semenov M.A., Barrow E.M. LARS-WG: A Stochastic Weather Generator for Use in Climate Impact Studies, Version 3.0 User Manual 2002, Available from:, (accessed 12.01.08). http://www.rothamsted.ac.uk/mas-models/download/LARS-WG-Manual.pdf.
58. Semenov M.A., Barrow E.M. Use of a stochastic weather generator in the development of climate changes scenarios. Climatic Change 1997, 35(4):397-414.
59. Semenov M.A., Stratonovitch P. Use of multi-model ensembles from global climate models for assessment of climate change impacts. Climate Res. 2010, 41(1):1-14.
60. Sharpley A.N., Williams J.R. Erosion/Productivity Impact Calculator: 1. Model documentation. Tech. Bulletin 1768 1990, U.S. Department of Agriculture, Agricultural Research Service, Washington, DC.
61. Srinivasan R., Zhang X., Arnold J. SWAT ungauged: hydrological budget and crop yield predictions in the Upper Mississippi River Basin. Trans. ASABE 2010, 53(5):1533-1546.
62. Stephens W., Hess T., Knox J. Review of the Effects of Energy Crops on Hydrology 2001, Institute of Water and Environment, Cranfield University, Silsoe, United Kingdom.
63. USDA-NASS Usual planting and harvesting dates for U.S. field crops. Agricultural Handbook Number 628 1997, U.S. Department of Agriculture, National Resources Conservation Service, Washington, DC.
64. USDA-NRCS (U.S. Department of Agriculture-Natural Resources Conservation Service), 2011a. Planting and harvesting giant miscanthus as a biomass energy crop. Plant Materials Program, Technical Note 4. Available from: (accessed 01.03.12). http://www.nrcs.usda.gov/Internet/FSE_DOCUMENTS/stelprdb1044768.pdf.
65. USDA-NRCS (U.S. Department of Agriculture-Natural Resources Conservation Service), 2011b. Planting and managing switchgrass as a biomass energy crop. Plant Materials Program, Technical Note 4. Available from: (accessed 01.03.12). http://www.nrcs.usda.gov/Internet/FSE_DOCUMENTS/stelprdb1042293.pdf.
66. USDA-NRCS (U.S.Department of Agriculture-Natural Resources Conservation Service) Soil Survey Geographic (SSURGO) Database for Mississippi 2011, Available from:, (accessed 11.03.11). http://soildatamart.nrcs.usda.gov/.
67. USEIA U.S. International Energy Outlook 2011 2011, U.S. Energy Information Administration, Washington, DC.
68. USGS (U.S.Geological Survey) National Elevation Dataset. Digital Elevation Model 2007, Available from:, (accessed 05.03.11). http://seamless.usgs.gov/.
69. USGS (U.S.Geological Survey) USGS Water Data for Mississippi 2011, Available from:, (accessed 12.01.08). http://waterdata.usgs.gov/nwis.
70. USGS-NASS (U.S.Geological Survey-National Agricultural Statistics Service) Data and Statistics 2011, Available from:, (accessed 19.09.11). http://www.nass.usda.gov/Data_and_Statistics/Quick_Stats/index.asp.
71. USGS-NASS (U.S.Geological Survey-National Agricultural Statistics Service) Cropland Data Layer for Mississippi 2010, Available from:, (accessed 11.03.11). http://www.nass.usda.gov/research/Cropland/SARS1a.htm.
72. Williams J.R., Jones C.A., Kiniry J.R., Spanel D.A. The EPIC crop growth model. Trans. ASAE 1989, 32(2):497-511.
73. Wilson C.O., Weng Q. Simulating the impacts of future land use and climate changes on surface water quality in the Des Plaines River watershed, Chicago Metropolitan Statistical Area, Illinois. Sci. Total Environ. 2011, 409(20):4387-4405.
74. Wu Y., Liu S. Impacts of biofuels production alternatives on water quantity and quality in the Iowa River Basin. Biomass Bioenergy 2012, 36:182-191.
75. 2 and climate change in the Upper Mississippi River Basin using a modified SWAT. Climatic Change 2012, 110(3-4):977-1003.
76. Zarghami M., Abdi A., Babaeian I., Hassanzadeh Y., Kanani R. Impacts of climate change on runoffs in East Azerbaijan, Iran. Global Planet. Change 2011, 78(3-4):137-146.