GEPIC - modelling wheat yield and crop water productivity with high resolution on a global scale

Agricultural Systems

Volumn 94, Issue 2, 2007, Pages 478-493

  Liu, Junguo ^a   Williams, Jimmy R ^b   Zehnder, Alexander J B ^c   Yang, Hong ^a  

^a SWISS FEDERAL INSTITUTE OF AQUATIC SCIENCE AND TECHNOLOGY   (Switzerland)

^b BLACKLAND RESEARCH AND EXTENSION CENTER   (United States)

^c ETH ZURICH   (Switzerland)

Author keywords

EPIC; GIS; Irrigated and rainfed production; Virtual water trade

Indexed keywords

AGRICULTURAL MANAGEMENT; CROP YIELD; FERTILIZER APPLICATION; GIS; INTERNATIONAL TRADE; IRRIGATION; MANAGEMENT PRACTICE; MODELING; RAINFED AGRICULTURE; SPATIAL VARIATION; STATISTICAL ANALYSIS; TEMPORAL VARIATION; WATER SUPPLY; WATER USE EFFICIENCY; WHEAT;

AFRICA; EURASIA; EUROPE; NORTHERN EUROPE;

TRITICUM AESTIVUM;

EID: 33947630883     PISSN: 0308521X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agsy.2006.11.019     Document Type: Article

References (70)

1. Allan J.A. Virtual water: a strategic resource - global solutions to regional deficits. Ground Water 36 4 (1998) 545-546
2. Angström A. On the computation of global radiation from records of sunshine. Arkiv. Geof. 2 (1956) 471-479
3. Baier W., and Robertson G.W. Estimation of latent evaporation from simple weather observations. Can. J. Plant Sci. 45 (1965) 276-284
4. Batjes, N.H. (Ed.), 1995. A homogenized soil data file for global environmental research: a subset of FAO. ISRIC and NRCS profiles (Version 1.0). Working Paper and Preprint 95/10b. International Soil Reference and Information Center, Wageningen, The Netherlands.
5. Bernardos J.N., Viglizzo E.F., Jouvet V., Lertora F.A., Pordomingo A.J., and Gid F.D. The use of EPIC model to study the agroecological change during 93 years of farming transformation in the Argentine pampas. Agric. Syst. 69 3 (2001) 215-234
6. Bessembinder J.J.E., Leffelaar P.A., Dhindwal A.S., and Ponsioen T.C. Which crop and which drop, and the scope for improvement of water productivity. Agric. Water Manage. 73 2 (2005) 113-130
7. Bierhuizen J.F., and Slayter R.O. Effect of atmospheric concentration of water vapour and CO2 in determining transpiration-photosynthesis relationships of cotton leaves. Agric. Meteorol. 2 (1965) 259-270
8. Chapagain, A.K., Hoekstra A.Y., 2004. Water footprints of nations. Value of Water Research Report Series No. 16, vols. 1-2, UNESCO-IHE, Delft, the Netherlands.
9. Chapagain A.K., Hoekstra A.Y., and Savenije H.H.G. Water saving through international trade of agricultural products. Hydrol. Earth Syst. Sci. 10 3 (2006) 455-468
10. Confalonieri R., and Bocchi S. Evaluation of CropSyst for simulating the yield of flooded rice in northern Italy. Eur. J. Agron. 23 (2005) 315-326
11. Curry R.B., Peart R.M., Jones J.W., Boote K.J., and Auten L.H. Simulation as a tool for analyzing crop response to climate change. Trans. ASAE 33 3 (1990) 981-990
12. Döll P., and Siebert S. A digital global map of irrigated areas. ICID J. 49 2 (2000) 55-66
13. Dumesnil, D., 1993. EPIC user's guide-draft. USDA-ARS, Grassland, Soil and Water Research Laboratory, Temple, TX.
14. EROS Data Center, 1998. Global 30″ Digital Elevation Model (http://edcwww.cr.usgs.gov). Anonymous ftp access at edcftp.cr.usgs.gov.
15. FAO, 1990. Soil Units of the Soil Map of the World. FAO-UNESCO-ISRIC, Rome.
16. FAO, 1993. CLIMWAT for CROPWAT, a climatic database for irrigation planning and management by M. Smith. FAO Irrigation and Drainage Paper No. 49. Rome.
17. FAO, 2005a. FAO's information system on water and agriculture. Food and Agriculture Organization of the United Nations. Available on the World Wide Web: http://www.fao.org/ag/agl/aglw/aquastat/main/index.stm.
18. FAO, 2005b. FAO statistical database. Food and Agriculture Organization of the United Nations. Available on the World Wide Web: http://faostat.fao.org/.
19. FAO, 2005c. Review of global agricultural water use per country, crop water requirements. Food and Agriculture Organization of the United Nations, Rome, Italy. Available on the World Wide Web: http://www.fao.org/ag/agl/aglw/aquastat/water_use/index4.stm.
20. Fischer G. Policy decision support for sustainable adaptation of China's agriculture to globalization (CHINAGRO). Policy Forum on China's Agriculture toward 2030 (2005), Beijing, China
21. Fischer, G., van Velthuizen, H.T., Shah, M.M., Nachtergaele, F.O., 2002. Global agro-ecological assessment for agriculture in the 21st Century: methodology and results. International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria, Report RR-02-002.
22. Fraiture, C.D., Cai, X., Amarasinghe, U., Rosengrant, M., Molden, D., 2004. Does cereal trade save water? The impact of virtual water trade on global water use. Comprehensive Assessment Research Report No. 4, IWMI, Colombo, Sri Lanka.
23. Gassman, P.W., Williams, J.R., Benson, V.R., Izaurralde, R.C., Hauck, L.M., Jones, C.A., Altwood, J.D., Kiniry, J.R., Flowers, J.D., 2005. Historical development and applications of the EPIC and APEX models. Working Paper 05-WP-397. Center for Agricultural and Rural Development. Iowa State University. Iowa, US.
24. Gleason, B.E., Peterson, T.C., Groisman, P.Y., Easterling, D.R., Vose, R.S., Ezell, D.S., 2002. A new global daily temperature and precipitation data set. Presented at the 13th AMS Symposium On Global Change Studies, Orlando, FL, 13-17 January, 2002.
25. Hanna S.R. Air quality evaluation and uncertainty. J. Air Pollut. Control Assoc. 38 (1988) 406
26. Hargreaves G.H., and Samani Z.A. Reference crop evapotranspiration from temperature. Appl. Eng. Agric. 1 (1985) 96-99
27. Hoekstra A.Y., Hung P.Q., 2002. Virtual water trade: A quantification of virtual water flows between nations in relation to international crop trade. Value of Water Research Report Series No. 11, UNESCO-IHE, Delft, the Netherlands.
28. Hoekstra, A.Y., Hung P.Q., 2003. Virtual water trade: a quantification of virtual water flows between nations in relation to international crop trade. In: Hoekstra, A.Y. (Ed.), Virtual Water Trade. Proceedings of The International Expert Meeting on Virtual Water Trade, 12-13 Dec, 2002, at UNESCO-IHE, Delft, the Netherlands, pp. 25-47.
29. Huang B., and Jiang B. AVTOP: a full integration of TOPMODEL into GIS. Environ. Model. Software 17 (2002) 261-268
30. Ines A.V.M., Gupta A.D., and Loof R. Application of GIS and crop growth models in estimating water productivity. Agric. Water Manage. 54 (2002) 205-225
31. International Benchmark Sites Network for Agrotechnology Transfer (IBSNAT), 1989. Decision Support System for Agrotechnology Transfer Version 2.1 (DSSAT V2. l). Honolulu: Dept. of Agronomy and Soil Science. College of Tropical Agriculture and Human Resources: University of Hawaii.
32. Isaaks E.H., and Srivastava R.M. Applied Geostatistics (1989), Oxford University Press, New York
33. Keating B.A., Carberry P.S., Hammer G.L., Probert M.E., Robertson M.J., Holzworth D., Huth N.I., Hargreaves J.N.G., Meinke H., Hochman Z., McLean G., Verburg K., Snow V., Dimes J.P., Silburn M., Wang E., Brown S., Bristow K.L., Asseng S., Chapman S., McCown R.L., Freebairn D.M., and Smith C.J. An overview of APSIM, a model designed for farming systems simulation. Eur. J. Agron. 18 3-4 (2003) 267-288
34. Kijne J.W., Barker R., and Molden D. Water productivity in Agriculture: limits and opportunities for improvement (2003), CAB International, Wallingford, UK
35. Liu, J., Zehnder, A.J.B., Yang, H., in press. Historical trends in China's virtual water trade. Water Int.
36. Mo X., Liu S., Lin Z., Xu Y., Xiang Y., and McVicar T.R. Prediction of crop yield, water consumption and water use efficiency with a SVAT-crop growth model using remotely sensed data on the North China Plain. Ecol. Model 183 (2005) 301-322
37. Molden, D., 1997. Accounting for water use and productivity. In: SWIM Paper 1, IIMI, Colombo.
38. Monsi M., and Saeki T. Uber den Lichfaktor in den Pflanzengesellschaften und sein Bedeutung fur die Stoffproduktion. Jpn. J. Biotechnol. 14 (1953) 22-52
39. Monteith J.L. Evaporation and environment. The State and Movement of Water in Living Organisms. Proceedings of 19th Symposia of the Society for Experimental Biology (1965), Cambridge University Press, London, UK 205-234
40. Monteith J.L. Climate and the efficiency of crop production in Britain (1977), Philosophical Transactions of the Royal Society, London pp. 277-294
41. Monteith J.L. The quest for balance in crop modeling. Agron. J. 88 (1996) 695-697
42. Nash J.E., and Sutcliffe J.V. River flow forecasting through conceptual models: Part I - A discussion of principles. J. Hydrol. 10 (1970) 282-290
43. Oki, T., Sato, M., Kawamura, A., Miyake, M., Kanae, S., Musiake, K., 2003. Virtual water trade to Japan and in the world. In: Hoekstra, A.Y. (Ed.), Virtual Water Trade. Proceedings of The International Expert Meeting on Virtual Water Trade, 12-13 December 2002, at UNESCO-IHE, Delft, The Netherlands, pp. 221-235.
44. Penman H.L. Natural evaporation from open, bare soil and grass. Proc. R. Soc. Lond. Ser. A 193 (1948) 120-145
45. Priestley C.H.B., and Taylor R.J. On the assessment of surface heat flux on evaporation using large-scale parameters. Mon. Weather Rev. 100 (1972) 81-92
46. Priya S., and Shibasaki R. National spatial crop yield simulation using GIS-based crop production model. Ecol. Model. 135 (2001) 113-129
47. Ramirez-Vallejo J., and Rogers P. Virtual water flows and trade liberalization. Water Sci. Technol. 49 (2004) 25-32
48. Rao M.N., Waits D.A., and Neilsen M.L. A GIS-based modeling approach for implementation of sustainable farm management practices. Environ. Model. Software 15 8 (2000) 745-753
49. Reed B. Applications of the US geological survey's global land cover product. Acta Astronaut. 41 4-10 (1997) 671-680
50. Richardson C.W., and Nicks A.D. Weather generator description. In: Sharpley A.N., and Williams J.R. (Eds). EPIC-Erosion Productivity Impact Calculator: I. Model Documentation (1990), US Dept. Agric. Tech. Bull. 1768
51. Ritchie J.T. A model for predicting evaporation from a row crop with incomplete cover. Water Resour. Res. 8 (1972) 1204-1213
52. Saxton K.E., Rawls W.J., Romberger J.S., and Papendick R.I. Estimating generalized soil-water characteristics from texture. Soil Sci. Soc. Am. J. 50 (1986) 1031-1036
53. Siebert, S., Döll. P., Hoogeveen, J., 2002, Global map of irrigated areas version 2.1, Center for Environmental Systems Research, University of Kassel, Germany/Food and Agriculture Organization of the United Nations, Rome, Italy.
54. Stöckle C.O., Donatelli M., and Nelson R.L. CropSyst, a cropping systems simulation model. Eur. J. Agron. 18 3-4 (2003) 289-307
55. Sui D.Z., and Maggio R.C. Integrating GIS with hydrological modelling: practices, problems and prospects. Comput., Environ. Urban Syst. 23 1 (1999) 33-51
56. Tanner C.B., and Sinclair T.R. Efficient water use in crop production: research or re-search?. In: Taylor H.M., Jordan W.R., and Sinclair T.R. (Eds). Limitations to Efficient Water Use in Crop Production (1983), American Society of Agronomy 1-27
57. Thornton P.K. Using models to explore farming alternatives. Agrotechnol. Transf. 11 (1990) 1-9
58. USGS - United States Geological Survey, 2000. HYDRO1k. Available on the World Wide Web: http://lpdaac.usgs.gov/gtopo30/hydro/.
59. Vossen, P., Rijks, D.A., 1995. Early crop yield assessment of the EU countries. The system implemented by the Joint Research Centre. Publication EUR 16318 EN of the Office for Official Publications of the EU, Luxembourg.
60. Wang X., He X., Williams J.R., Izaurralde R.C., and Atwood J.D. Sensitivity and uncertainty analyses of crop yields and soil organic carbon simulated with EPIC. Trans. ASAE 48 3 (2005) 1041-1054
61. Wichelns D. The role of 'virtual water' in efforts to achieve food security and other national goals, with an example from Egypt. Agric. Water Manage. 49 2 (2001) 131-151
62. Willmott C.J. Some comments on the evaluation of model performance. Bull. Am. Meteorol. Soc. 63 11 (1982) 1309-1313
63. Williams J.R. The EPIC model. In: Singh V.P. (Ed). Computer Models of Watershed Hydrology (1995), Water Resources Publisher, Colorado, USA 909-1000
64. Williams J.R., Jones C.A., Kiniry J.R., and Spanel D.A. The EPIC crop growth model. Trans. ASAE 32 (1989) 497-511
65. World Water Council, 2004. E-Conference Synthesis: Virtual Water Trade - Conscious Choices. WWC Publication No.2, March 2004.
66. Yang H., Reichert P., Abbaspour K.C., and Zehnder A.J.B. A water resources threshold and its implications for food security. Environ. Sci. Technol. 37 (2003) 3048-3054
67. Yang H., Wang L., Abbaspour K.C., and Zehnder A.J.B. Virtual water trade: an assessment of water use efficiency in the international food trade. Hydrol. Earth Syst. Sci. 10 3 (2006) 443-454
68. Yang H., and Zehnder A.J.B. Water endowments and virtual water trade. Gaia 4 (2002) 267-270
69. Zhang Y., Li C., Zhou X., and Moore B. A simulation model linking crop growth and soil biogeochemistry for sustainable agriculture. Ecol. Model. 151 (2002) 75-108
70. Zwart S.J., and Bastiaanssen W.G.M. Review of measured crop water productivity values for irrigated wheat, rice, cotton and maize. Agric. Water Manage. 69 (2004) 115-133