EPIC/APEX Literature Database for Peer-Reviewed Journal Articles

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1. Anderson, C., Babcock, B., Peng, Y., Gassman, P., Campbell, T.,. 2015. Placing bounds on extreme temperature response of maize. Environmental Research Letters. 10/12124001: 1748-9326. Doi: 10.1088.

2. Angulo, C., Gaiser, T., Rotter, R. P., Borgesen, C. D., Hlavinka, P., Trnka, M., Ewert, F.,. 2014. 'Fingerprints' of four crop models as affected by soil input data aggregation. European Journal of Agronomy. 61: 35-48.

3. Arnold J. G., D. Harmel, M. V. Johnson, R. Bingner, T. C. Strickland, M. Walbridge, C. Santhi, M. DiLuzio and X. Wang. 2014. Impact of the Agricultural Research Service watershed assessment studies on the Conservation Effects Assessment Project Cropland National Assessment. Journal of Soil and Water Conservation. 69(5): 137A-144A. Doi: 10.2489/jswc.69.5.137A.

4. Balcovic, J., Schmid, E., Skalsky, R., Novakova, M.. 2011. Modelling soil Organic Carbon Changes on Arable Land under climate Change - A case study Analysis of the Kocin Farm in Slovakia. Soil and Water Research. 6: 30-42.

5. Balkovic, J., Van der Velde, M., Schmid, E., Skalsky, R., Khabarov, N., Oberteiner, M., Sturmer, B., Xiong, W.,. 2013. Pan-European crop modelling with EPIC: Implementation, up-scaling and regional crop yield validation. Agricultural Systems. 120: 61-75.

6. Bulatewicz, T., Jin, W., Staggenborg, S., Lauwo, S., Miller, M., Das, S., Andresen, D., Peterson, J., Steward, D. R., Welch, S.M.. 2009. Calibration of a crop model to irrigated water use using a genetic algorithm. Hydrology and Earth System Sciences Discussions. 6: 2367-2413.

7. Cabelguenne, M., Debaeke, P., Puech, J., Bosc, N.. 1997. Real Time irrigation management using the EPIC-PHASE model and weather forcasts. Agronomy for Sustainable Development. 32: 227-238.

8. Causarano, H. J., Doraiswarny, P. C., McCarty, G. W., Hatfield, J. L., Milak, S., Stern A. J.. 2008. EPIC modeling of soil organic carbon sequestration in croplands of Iowa. Journal of Environmental Quality. 37(4): 1345-1353.

9. Causarano, H. J., Williams, J. R., Norfleet M. L., Franzluebbers, A. J., Abrahamson, D. A.,. 2009. Predicting soil carbon sequestration in the southeastern United States with EPIC and the soil conditioning index. Journal of Soil and Water Conservation. 64 (2): 134-144.

10. Chen, X., Harman, W. L., Magre, M., Wang, E., Srinivasan, R., Williams, J. R.. 2000. Water quality assessment with agro-environmental indexing of non-point sources, Trinity River Basin. Applied Engineering in Agriculture. 16(4): 405-417.

11. Chung, S. W., Gassman, P. W., Gu, R., Kanwar, R. S.. 2002. Evaluation of EPIC for assessing tile flow and nitrogen losses for alternative agricultural management systems. Transactions of the ASAE. 45(4): 1135-1146.

12. Chung, S. W., Gassman, P.W., Huggins, D. R. Randall, G. W.. 2001. EPIC tile flow and nitrate loss predictions for three Minnesota cropping systems. Journal of Environmental Quality. 30(3): 822-830.

13. Cooter, E. J., Bash, J. O., Benson, V., Ran, L.,. 2012. Linking agricultural crop management and air quality models for regional to national-scale nitrogen assessments. Biogeosciences Discussions. 9: 6095-6127.

14. deBarros, I., Gaiser, T., Lange, F-M., Roemheld, V.. 2007. Mineral nutrition and water use patterns of a maize/cowpea intercrop on a highly acidic soil of the tropic semiarid. Field Crops Research. 101(1): 26-36.

15. deBarros, I., Williams, J. R., Gaiser, T.. 2004. Modeling soil nutrient limitations to crop production in semiarid NE of Brazil with a modified EPIC version I. Changes in the source code of the model. Ecological Modeling. 178(3-4): 441-456.

16. Di Luzio, M., M.L. Norfleet, J.G. Arnold, J.R. Williams and J.R. Kiniry. 2014. A soil parameters geodatabase for the modeling assessment of agricultural conservation practices effects in the United States. International Journal of Geospatial and Environmental Research. 1(2): 1-23.

17. Doraiswamy, P. C., Muratova, N., Pachikin, K., McCarty, G. W., Akhmedov, B., Causarano, H. J.,. 2011. Improved modeling of soil organic carbon in a semiarid region of Central East Kazakhstan using EPIC. Agronomy for Sustainable Development. 31(2): 275-286.

18. Dourte, D.R., C.W. Fraisse and O. Uryasev. 2014. WaterFootprint on AgroClimate: A dynamic, web-based tool for comparing agricultural systems. Soil and Water Research. 125: 33-41. Doi: 10.1016/j.agsy.2013.11.006.

19. Easterling, W., Hays, C. J., Jacobs, A., Mearns, L., Niu, X. Z.. 2009. Reliability and input-data induced uncertainty of the EPIC model to estimate climate change impact on sorghum yields in the U.S. Great Plains. Agriculture Ecosystems and Environment. 129:1-3: 286-276.

20. Farina, R., Seddaiu, G., Orsini, R. Steglich, E., Roggereo, P., Francaviglia, R.. 2011. Soil carbon dynamics and crop productivity as influenced by climate change in a a rainfed cereal system under contrasting tillage using EPIC. Soil and Tillage Research. 112: 36-46.

21. Gaiser, T., Abdel-Razek, M., Bakara, H.,. 2009. Modeling carbon sequestration under zero-tillage at the regional scale. II. The influence of crop rotation and soil type. Ecological Modeling. 220: 3372-3379.

22. Gaiser, T., deBarros, I., Sereke, F., Lange, F. M.. 2010. Validation and reliabilty of the EPIC model to simulate maize production in small-holder farming systems in tropical sub-humid West Africa and semi-arid Brazil. Agriculture Ecosystems and Environment. 135: 318-327.

23. Gaiser, T., Judex, M., Hiepe, C., Kuhn, A.. 2010. Regional simulation of maize production in tropical savanna fallow systems as affected by fallow availability. Soil and Water Research. 103(9): 656-665.

24. Gaiser, T., Judex, M., Igue, A.,M., Paeth, H., Hiepe, C.. 2011. Future productivity of fallow systems in Sub-Saharan Africa: Is the effect of demographic pressure and fallow reduction more significant than climate change?. Agricultural and Forest Meteorology. 151: 1120-1130.

25. Gaiser, T., Stahr, K., Billen, N., Mohammed, M. A. R.. 2016. Modeling carbon sequestration under zero tillage at the regional scale. I. The effect of soil erosion.. Ecological Modeling. 218(1-2): 110-120.

26. Gassman, P.W., E. Osei, A. Saleh, J. Rodecap, S. Norvell, and J. Williams. 2006. Alternative practices for sediment and nutrient loss control on livestock farms in northeast Iowa. Agriculture Ecosystems and Environment. 117(2-3): 135-144. Doi: 10.1016/j.agee.2006.03.030.

27. Gassman, P.W., J.R. Williams, X. Wang, A. Saleh, E. Osei, L.M. Hauck, R.C. Izaurralde and J.D. Flowers. 2010. The Agricultural Policy/Enviromental EXtender (APEX) model: An emerging tool for landscape and watershed environmental analyses. Transactions of the ASABE. 53(3): 711-740. Doi: 10.13031/2013.30078.

28. Godin, P. J.S. Russell, J.D. MacDonald, G. Putz and E.E. Prepas. 2008. Development of opinion-based generic reforestation regimes and their application in vegetation management and water modelling in the upper and lower foothills of Alberta. Journal of Environmental Engineering and Science. 7(S1): S23-S33. Doi: 10.1139/S09-001.

29. Golmohammadi, G., S. Prasher, A. Madani and R. Rudra. 2014. Evaluating three hydrological distributed watershed models: MIKE-SHE, APEX, SWAT. Hydrology. 1(1): 20-39. Doi: 10.3390/hydrology1010020.

30. Guerra, L. C., Hoogenboom, G., Boken, V. K., Hook, J. E., Thomas, D. L., Harrison, K. A.,. 2004. Evaluation of the EPIC model for simulation crop yield and irrigation. Transactions of the ASAE. 47(6): 2091-2100.

31. Guerra, L. C., Hoogenboom, G., Hook, J. E., Thomas, D. L., Boken, V. K., Harrison, K. A.,. 2005. Evaluation of on-farm irrigation applications using the simulation model EPIC. Irrigation Science. 23(4): 171-181.

32. Harmel, R.D., D.K. Smith and K.W. Migliaccio. 2010. Modifying goodness-of-fit indicators to incorporate both measurement and model uncertainty in model calibration and validation. Transactions of the ASABE. 53(1): 55-63. Doi: 10.13031/2013.29502.

33. Huang, M., Gallichand, J., Dang, T. Shao M.,. 2006. An evaluation of EPIC soil water and yield components in the gully region of Loess Plateau, China. Journal of Agricultural Science. 144: 339-348.

34. Izaurralde, r. C., Sereno, r., Apezteguia, H. P.. 2009. Simulation study of soil organic matter dynamics as affected by land use and agricultural practices in semiarid Cordoba, Argentina. Soil and Tillage Research. 102: 101-108.

35. Izaurralde, R. C., Williams, J. R., Post, W. M., Thomson, A. M., McGill, W. B., Owens, L. B., Lal, R.. 2007. Long-term modeling of soil C erosion and sequestration at the small watershed scale. Mitigation and Adaptation Strategies for Global Change. 80(1-2): 73-90.

36. Johnson, M.-V.V., J.D. MacDonald, J.R. Kiniry and J. Arnold. 2009. ALMANAC: a potential tool for simulating agroforestry yields and improving SWAT simulations of agroforestry watersheds. International Agricultural Engineering Journal. 18(1-2): 51-58.

37. Jung, C.-G., J.-Y. Park, S.-J. Kim and G.-A. Park. 2014. The SRI (system of rice intensification) water management evaluation by SWAPP (SWAT–APEX Program) modeling in an agricultural watershed of South Korea. Paddy Water Environment. 12(1): 251-261. Doi: 10.1007/s10333-013-0367-1.

38. Kang, S., Nair, S.S., Kine, K. L., Nichols, J. A., Wang, D., Post, W. M., Brandt, C. C., Wullschleger, S. D., Singh, N., Wei, Y.. 2014. Global simulation of bioenergy crop productivity; analytical framework and case study for switchgrass. Global Change Biology Bioenergy. 6(1): 14-25.

39. King, K. W., Richardson, C. W., Williams, J. R.. 1996. Simulation of sediment and nitrate loss on a vertisol with conservation tillage practices. Transactions of the ASAE. 39: 2139-2145.

40. Kiniry, J.R., J. Briggs, J. Englert, M. Weltz, K. Jensen, D. Tilley, M. Stannard, A. Young-Mathews, T. Blanke, M. Smither-Kopperl, S. Winslow and D. Goodson. 2014. Plant parameters for plant functional groups of western rangelands to enable process-based simulation modeling. American Journal of Experimental Agriculture. 4(7): 746-766. Doi: 10.9734/AJEA/2014/7969.

41. Kiniry, J.R., J.D. Macdonald, A. R. Kemanian, B. Watson, G. Putz and E.E. Prepas. 2008. Plant growth simulation for landscape-scale hydrological modelling. Hydrological Sciences Journal. 53(5): 1030-1042. Doi: 10.1623/hysj.53.5.1030.

42. Ko, J., Piccinni, G.,. 2008. Simulation for Irrigation Management of Corn in South Texas. Korean Journal of Crop Science. 53(2): 161-170.

43. Liu, J., Fritz, S., Van Wesenbeeck, C. F. A., Fuchs, M., You, L., Obersteiner, M., Yang, H.,. 2008. A spatially explicit assessment of current and future hotspots of hunger in Sub-Saharan Africa in the context of global change. Global and Planetary Change.

44. Liu, J., Wiberg, D., Zehnder, A. J. B., Yang, H.. 2007. Modeling the role of irrigation in winter wheat yield, crop water productivity, and production in China. Irrigation Science. 26(1): 21-33.

45. MacDonald, J.D., J.R. Kiniry, G. Putz and E.E. Prepas. 2008. A multi-species, process based vegetation simulation module to simulate successional forest regrowth after forest disturbance in daily time step hydrological transport models. Journal of Environmental Engineering and Science. 7(S1): S127-S143. Doi: 10.1139/S08-008.

46. Mehta, V. M., Rosenberg, N., Mendoza, K.. 2012. Simulated impacts of three decadal climate variability phenomena on dryland corn and wheat yields in the Missouri River Basin. Agricultural and Forest Meteorology. 152: 109-124.

47. Mitter, H., Kirchner, M., Schmid, E., Schonhart, M.. 2014. The participation of agricultural stakeholders in assessing regional vulnerability of cropland to soil water erosion in Austria. Regional Environmental Change. 14: 385-400.

48. Nichols, J., Kang, S., Post, W., Wang, D., Bandaru, V., Manowitz, d., Zhang, X., Izaurralde, R.. 2011. HPC-EPIC for high resolution simulations of environmental and sustainability assessment. Computers and Electronics in Agriculture. 79: 112-115.

49. Nsengiyumva, D.,. 1997. Variable and source code restructuring of the EPIC model. Canadian Agricultural Engineering. 39(3): 233-234.

50. Piccinni, G., Steglich, E., Ko J. H.,. 2009. Using EPIC model to manage irrigated cotton and maize. Agronomy for Sustainable Development. 96: 1323-1331.

51. Potter, K. N., Williams, J. R., Larney, F. J., Bullock, M. S.. 1998. Evaluation of EPIC's wind erosion submodel using data from southern Alberta. Canadian Journal of Soil Science. 78

52. Prato, T., Zeyuan, Q., Pederson, G., Fagre, D., Bengston, L. E., Williams, J. R.. 2010. Potential economic benefits of adapting agricultural production systems to future climate change. Environmental Management. 45: 577-589.

53. Prepas, E.E., G. Putz, D.W. Smith,, J.M. Burke and J.D. MacDonald. 2008. The FORWARD Project: Objectives, framework and initial integration into a Detailed Forest Management Plan in Alberta. The Forestry Chronicle. 84(3): 330-337.

54. Puurveen, H., Izaurralde, R. C., Chanasyk, D. S., Williams, J. R., Grant, R. F.. 1997. Evaluation of EPIC's snow melt and water erosion sub models using data from the Peace River region of Albera. Canadian Journal of Soil Science. 77(1): 41-50.

55. Qiu, Z., Prato, T.,. 2012. Economic feasibility of adapting crop enterprises to future climate change: A case study of flexible scheduling and irrigation for representative farms in Flathead Valley, Montana, USA. Mitigation and Adaptation Strategies for Global Change. 17: 223-242.

56. Rabotyagov, S.S., T.D. Campbell, M. White, J.G. Arnold, J. Atwood, M.L. Norfleet, C.L. Kling, P.W. Gassman, A. Valcu, J. Richardson, R.E. Turner and N.N. Rabalais. 2014. Cost-effective targeting of conservation investments to reduce the northern Gulf of Mexico hypoxic zone. Proceedings of the National Academy of Sciences. 111(52): 18530–18535. Doi: 10.1073/pnas.1405837111.

57. Raymundo, R., Asseng, S., Cammarano, D., Quiroz, R.. 2014. Potato, Sweet Potato, and yam models for climate change: A review. Field Crops Research. 166: 173-185.

58. Ribaudo, M. and J. Savage. 2014. Controlling non-additional credits from nutrient management in water quality trading programs through eligibility baseline stringency. Ecological Economics. 105: 233-239. Doi: 10.1016/j.ecolecon.2014.06.017.

59. Ribaudo, M., J. Savage and J. Talberth. 2014. Encouraging reductions in nonpoint source pollution through point-nonpoint trading: The roles of baseline choice and practice subsidies. Applied Economic Perspectives and Policy. 36(3): 560-576. Doi: 10.1093/aepp/ppu004.

60. Rinaldi, M.. 2001. Application of EPIC model for irrigation scheduling of sunflower in southern Italy. Agronomy for Sustainable Development. 49(3): 185-196.

61. Roloff, G., Dejong, R., Nolin, M. C.,. 1998. Crop Yield, soil temperature and sensitivity of EPIC under central-eastern Canadian conditions. Canadian Journal of Soil Science. 78: 431-439.

62. Santhi, C., J. G. Arnold, M. White, M. Di Luzio, N. Kannan, L. Norfleet, J. Atwood, R. Kellogg, X. Wang, J. R. Williams and T. Gerik. 2014. Effects of agricultural conservation practices on N loads in the Mississippi–Atchafalaya River Basin. Journal of Environmental Quality. 43(6): 1903-1915. Doi: 10.2134/jeq2013.10.0403.

63. Santhi, C., M. White, J.G. Arnold, L. Norfleet, J. Atwood, R. Kellogg, N. Kannan, X. Wang, M. Di Luzio, J.R. Williams and T. Gerik. 2014. Estimating the effects of agricultural conservation practices on phosphorus loads in the Mississippi-Atchafalaya River Basin. Transactions of the ASABE. 57(5): 1339-1357. Doi: 10.13031/trans.57.10458.

64. Schoenhart, M., Mitter, H., Schmid, E., Heinrich, G, Gobiet, A.. 2014. Integrated Analysis of Climate Change Impacts and Adaption Measures in Austrian Agriculture. German Journal of Agricultural Economics. 63(3): 156-176.

65. Shen, Z., Zhong, Y., Huang, Q., Chen, L.,. 2015. Identifying non-point source priority management areas in watersheds with multiple functional zones. Water Research. 68: 563-571.

66. Shonhart, M., Schauppenlehner, T., Schmid, E., Muhar, A.. 2011. Integration of bio-physical and economic models to analyze management intensity and landscape structure effects at farm and landscape level. Agricultural Systems. 104: 122-134.

67. Sinistore, J., Reinemann, D. J., Izaurralde, R. C., Cronin, K. R., Meier, P. J., Runge, T. M., Zhang, X.,. 2015. Life Cycle Assessment of Switchgrass Cellulosic Ethanol Production in the Wisconsin and Michigan Agricultural Contexts. BioEnergy Research. : 897-909.

68. Srivastava, P., K.W. Migliaccio, and J. Šimůnek. 2007. Landscape models for simulating water quality at point, field, and watershed scales. Transactions of the ASABE. 50(5): 1683-1693. Doi: 10.13031/2013.23961.

69. Stolpe, N. B.. 2005. A comparison of the RUSLE, EPIC and WEPP erosion models as calibrated to climate and soil of south -central Chile. Acta Agriculturar Scandinavica Section B-soil and Plant Science. 55(1): 2-8.

70. Strauss, F., Schmid, E., Moltchanova, E., Formayer, H., Wang, X.. 2012. Modeling climate change and biophysical impacts of crop production in the Austrian Marchfeld Region. Climatic Change. 111: 641-664.

71. Taylor, R.A.J., J. Jeong, M. White and J.G. Arnold. 2015. Code modernization and modularization of APEX and SWAT watershed simulation models. International Journal of Agricultural & Biological Engineering. 8(1) Doi: 10.3965/j.ijabe.20150801.007.

72. Thomson, A. M., Brown, R. A., Ghan, S. J., Izaurralde, R. C., Rosenberg, N.J., Leung, L. R.. 2002. Elevation dependence of winter wheat production in Eastern Washington State with climate change: A methodological study. Climate Change. 54(1-2): 141-164.

73. Thomson, A. M., Izaurralde, R. C., Rosendberg, N. J., He, X. X.. 2006. Climate change impacts on agriculture and soil carbon sequestration potential in the Huang-Hai Plain of China. Agriculture Ecosystems and Environment. 114(2-4): 195-209.

74. Torbert, H. A., Gerik, T. J., Harman, W. L., Williams, J.R., Magre, M.. 2008. EPIC Evaluation of the Impact of Poultry Litter Application Timing on Nutrient Losses. Communications in Soil Science and Plant Analysis. 39: 19-20.

75. Trouslard Kerdiles, V., Grondona, M. O.. 1997. A case of combined use of crop simulation models and general linear models. Ecological Modeling. 99(1): 71-85.

76. Tum, M., Strauss, F., McCallum, I., Gunther, K., Schmid, E.,. 2012. How sensitive are estimates of carbon fixation in agricultural models to input data?. Carbon Balance and Management. 7

77. Tuppad, P., M.F. Winchell, X.Wang, R. Srinivasan and J.R. Williams. 2009. ARCAPEX: ARCGIS interface for Agricultural Policy Environmental Extender (APEX) hydrology/water quality model. International Agricultural Engineering Journal. 18(1-2): 59-71.

78. Vadas, P. A., Krogstad, T., Sharpley, A. N.. 2006. Modeling phosphorus transfer between labile and nonlabile soil pools: Updating the EPIC model. Soil Science society of America Journal. 70(3): 736-743.

79. Vadas, P., Krgstad, T., Sharpley, A.,. 2006. Modeling phosphorus transfer between labile and nonlabile soil pools: Updating The EPIC model. Soil Science society of America Journal. 70(3): 736-743.

80. Van der Velde, M., Bouraoui, F., Aloe, A.. 2009. Pan-European regional-scale modelling of water and N efficiencies of rapeseed cultivation for biodiesel production. Global Change Biology Bioenergy. 15: 24-37.

81. Wang, J., Huang, G., Zhan, H., Mohanty, B. P., Zheng, J., Huang, Q., Xu, X.. 2014. Evaluation of soil water dynamics and crop yield under furrow irrigation with a two-dimensional flow and crop growth coupled model. Agronomy for Sustainable Development. 141: 10-22.

82. Wang, X., Harmel, R., Williams, J., Harman, W. L.. 2006. Evaluation of EPIC for assessing crop yield, runoff sediment and nutrient losses from watersheds with poultry litter fertilization. Transactions of the ASABE. 49: 47-59.

83. Wang, X., He, X., Williams, J. R., Izaurralde, R. C., Atwood, J. D.. 2005. Sensitivity and uncertainty analyses of crop yields and soil organic carbon simulated with EPIC. Transactions of the ASAE. 48(3): 1041-1054.

84. Wang, X., N. Kannan, C. Santhi, S.R. Potter, J.R. Williams and J.G. Arnold. 2011. Integrating APEX output for cultivated cropland with SWAT simulation for regional modeling. Transactions of the ASABE. 54(4): 1281-1298. Doi: 10.13031/2013.39031.

85. Wang, Z., Jiang, J., Liao, Y., Deng, L.,. 2015. Risk assessment of maize drought hazard in the middle region of farming-pastoral ecotone in Northern China. Natural Hazards. 76: 1515-1534.

86. Warner, G. S., Stake, J. D., Guillard, K., Neafsey, J.. 1997. Evaluation of EPIC for a shallow New England Soil. 1. Maize yield and nitrogen uptake. Transactions of the ASAE. 40(3): 575-583.

87. Warner, G.S., Stake, J. D., Guillard, K., Neafsey, J.. 1997. Evaluation of EPIC for a shallow New England Soil. 2. Soil Nitrate. Transactions of the ASAE. 40(3): 565-593.

88. White, M.J., C. Santhi, N. Kannan, J.G. Arnold, D. Harmel, L. Norfleet, P. Allen, M. DiLuzio, X. Wang, J. Atwood, E. Haney and M. Vaughn Johnson. 2014. Nutrient delivery from the Mississippi River to the Gulf of Mexico and effects of cropland conservation. Journal of Soil and Water Conservation. 69(1): 26-40. Doi: 10.2489/jswc.69.1.26.

89. Williams, J.R.. 1990. The erosion productivity impact calculator (EPIC) model: a case history. Philosophical Transactions: Biological Sciences. 329(1255): 421-428. Doi: 10.1098/rstb.1990.0184.

90. Williams, J.R. and J.G. Arnold. 1997. A system of erosion-sediment yield models. Soil Technology. 11(1): 43-55.

91. Williams, J.R., C.A. Jones, and P.T. Dyke. 1984. A modeling approach to determining the relationship between erosion and soil productivity. Transactions of the ASAE. 27(1): 129-144. Doi: 10.13031/2013.32748.

92. Williams, J.R., C.A. Jones, J.R. Kiniry, and D.A. Spanel. 1989. The EPIC crop growth model. Transactions of the ASAE. 32(2): 497-511. Doi: 10.13031/2013.31032.

93. Williams, J.R., J.G. Arnold, J.R. Kiniry, P.W. Gassman and C.H.Green. 2008. History of model development at Temple, Texas. Hydrological Sciences Journal. 53(5): 948-960. Doi: 10.1623/hysj.53.5.948.

94. Worou, O.N., Gaiser, T., Saito, K., Goldbach, H., Ewert, F.. 2012. Simulation of soil water dynamics and rice crop growth as affected by bunding and fertilizer application in inland valley systems of West Africa. Agriculture Ecosystems and Environment. 162: 24-35.

95. Wu, W., Shibasaki, R., Yang, P., Tan, G., Matsumura, K., I., Sugimoto, K.,. 2007. Global-scale modelling of future changes in sown areas of major crops. Ecological Modeling. 208: 378-390.

96. Xin, C., C. Xu, Q. HuaJiao, Z. WanBin, and L. GuoBin. 2003. Case study of using computerized simulation model in land-use research on Loess Plateau. Transactions of the Chinese Society of Agricultural Engineering. 19(4): 295-298.

97. Xiong, W., Blakovic, J., Van der Velde, M., Zhang, X., Izaurralde, R. C., Skalsky, R., Lin, E., Mueller, N., Obersteiner, M.,. 2014. A calibration procedure to improve global rice yield simulations with EPIC. Ecological Economics. 273: 128-139. Doi: 10.1016/j.ecolmodel.2013.10.026.

98. Yang, P., Wu, W., Li, Z., Yu, Q., Inatsu, M., Liu, Z., Tang, P., Zha, Y., Kimoto, M., Tang, H.,. 2013. Simulating impact of elevated CO2, temperature, and precipitation on the winter wheat yield in the North China Plain. Regional Environmental Change. 14: 61-74.

99. Z.X. O'Malley. 2015. something. The Forestry Chronicle.

100. Zhang, X., R.C. Izaurralde, J.G. Arnold, N.B. Sammons, D.H. Manowitz, A.M. Thomson, J.R. Williams. 2011. Comment on “Modeling Miscanthus in the Soil and Water Assessment Tool (SWAT) to Simulate Its Water Quality Effects As a Bioenergy Crop”. Environmental Science & Technology. 45(14): 6211-6212. Doi: 10.1021/es201463x.