Global estimation of crop productivity and the impacts of global warming by GIS and EPIC integration

Ecological Modelling

Volumn 168, Issue 3, 2003, Pages 357-370

  Tan, Guoxin ^a   Shibasaki, Ryosuke ^b  

^a INSTITUTE OF INDUSTRIAL SCIENCE   (Japan)

^b UNIVERSITY OF TOKYO   (Japan)

Author keywords

Crop productivity; EPIC; GIS; Global warming

Indexed keywords

CROP PRODUCTION; ECOLOGICAL MODELING; GIS; GLOBAL WARMING; PRODUCTIVITY;

EID: 0346901843     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0304-3800(03)00146-7     Document Type: Conference Paper

References (33)

1. Adams, R.M., Fleming, R.A., Chang, C.C., McCarl, B.A., Rosenzweig, C., 1993. A Reassessment of the Economic Effects of Global Climate Change on U.S. Agriculture. Report for the U.S. Environmental Protection Agency, Washington DC.
2. Bouzaher, A., Shogren, J.F., et al., 1993. Agricultural Policies and Soil Degradation in Western Canada: An Ago-Ecological Economic Assessment (Report 2: The Environmental Modeling System). Technical Report 5/93, Agriculture Canada, Policy Branch, Ottawa, ON, 110 pp.
3. Bryant, K.J., Benson, V.W., Kiniry, J.R., Williams, J.R., Lacewell, R.D., 1992. Simulating corn yield response to irrigation timings: validation of the EPIC. J. Prod. Agric. 5 (2), 237-242.
4. Burt, J.E., Hayes, J.T., O'Rourke, P.A., Terjung, W.H., Tod-hunter, P.E., 1981. A parametric crop water use model. Water Resour. Res. 17, 1095-1108.
5. China Today Compile Committee, 1992. China Today: Agriculture. China Today Publishing House, Beijing, pp. 576-585.
6. Dixon, B.L., Hollinger, S.E., Garcia, P., Tirupattur, V., 1994. Estimating corn yield response models to predict impacts of climate change. J. Agric. Resou. Econ. 19, 58-68.
7. Easterling, W.E., McKenney, M.S., Rosenberg, N.J., Lemon, K.M., 1992. Simulations of crop response to climate change: effects with present technology and currently available adjustments. Agric. Forest Meteorol. 59, 75-102.
8. Edwards, D.R., Benson, V.W., Williams, J.R., Daniel, T.C., Lemunyon, J., Gilbert, R.G., 1994. Use of the EPIC to predict runoff transport of surface-applied inorganic fertilizer and poultry manure constituents. Trans. ASAE 37 (2), 403-409.
9. FAO, 1978-1980. Report on the Agro-ecological Zones Project, vol. 1; Methodology and Results for Africa, vol. 2; Results for Southwest Asia, vol. 3; Methodology and Results for South and Central America, vol. 4; Results for Southeast Asia. [FAO] World Soil Resources Report 48/1-4.
10. FAO/IIASA, 1991. Agro Ecological Land Resources Assessment for Agricultural Development Planning: A Case Study of Kenya: Resources Database and Land Productivity. Main Report and 8 Technical Annexes. Rome, AGL-FAO, vol. 9. pp. 1150.
11. Flato, G.M., Boer, G.J., Lee, W.G., McFarlane, N.A., Ramsden, D., Reader, M.C., Weaver, A.J., 2000. The Canadian Centre for Climate Modelling and Analysis global coupled model and its climate. Climate Dynamics 16, 451-467.
12. Franke, M.D., Beattie, B.R., Embleton, M.F., 1990. A comparison of alternative crop response models. Am. J. Agric. Econ. 73, 597-602.
13. Kiniry, J.R., Major, D.J., Izaurralde, R.C., et al., 1995. EPIC parameters for cereal, oilseed, and forage crops in the northern Great Plains region. Can. J. Plant Sci. 75, 679-688.
14. Kjaiswal, A., Saha, S.K., 1993. Estimation of crop yield on the basis of correlation and regression analysis in Lac. India J. Agric. Sci. 63 (6), 379-381.
15. Li, C., Frolking, S., Frolking, T.A., 1992. A model of nitrousoxide evolution from soil driven by rainfall events: 2. Model application. J. Geophys. Res. 97 (D9), 9777-9783.
16. Mahmood, R., 1998. Air temperature variations and rice productivity in Bangladesh: a comparative study of the performance of the YIELD and the CERES-rice models. Ecol. Modelling 106, 201-212.
17. Moen, T.N., Kaiser, H.M., Riha, S.J., 1994. Regional yield estimation using a crop simulation model: concepts, methods, and validation. Agric. Syst. 46, 79-92.
18. Parton, W.J., Stewart, J.W.B., Cole, C.V., 1988. Dynamics of C, N, P, and S in grass soils: a model. Biogeochemistry 5, 109-131.
19. Pearce, D.W., Cline, W.R., Achanta, A.N., Fankhauser, S., Pachauri, R.K., Tol, R.S.J., Vellinga, P., 1996. The social costs of climate change: greenhouse damage and the benefits of control. In: Bruce, J.P., Lee, H., Haites, E.F. (Eds.), Climate Change 1995: Economic and Social Dimensions of Climate Change, Second Assessment Report of the Intergovernmental Panel on Climate Change III. Cambridge University Press, Cambridge, pp. 181-224.
20. Priya, S., Shibasaki, R., 2001. National spatial crop yield simulation using GIS-based crop production model. Ecol. Modelling 135, 113-129.
21. Reilly, J., 1996. Agriculture in a changing climate: impacts and adaptation. In: Watson, R.T., Zinyowera, M.C., Moss, R.H. (Eds.), Climate Change 1995: Im-pacts, Adaptations and Mitigation of Climate Change, Second Assessment Report of the Intergovernmental Panel on Climate Change II. Cambridge University Press, Cambridge, pp. 427-467.
22. Roloff, G., de Jong, R., et al., 1998. EPIC estimates of soil water, nitrogen and carbon under semiarid temperature conditions. J. Info Can. J. Soil. Sci. 78 (3), 551-562.
23. Saarikko, R.A., 2000. Applying a site based crop model to estimate regional yields under current and changed climates. Ecol. Modelling 131, 191-206.
24. Scholes, R.J., Skole, D., Ingram, J.S., 1995. A global database of soil properties: proposal for implementation. IGBP-DIS Working Paper #10, University of Paris, France.
25. Sui, D.Z., 1998. GIS-based urban modeling: practices, problems, and prospects. Int. J. Geog. Inf. Sci. 12 (7), 651-671.
26. Tan, G., Shibasaki, R., 2001. A study on land productivity and land use pattern using GIS and logit model. In: The Proceedings of International Conference on Agricultural Science and Technology ICAST, Session 6: Information Technology of Agriculture. Beijing, China, pp. 226-232.
27. Tan, G., Shibasaki, R., 2002. Monthly climatologically aided global interpolation of weekly air temperature and precipitation. Theory Appl. of GIS, Japan 10 (1), 8-17.
28. Trouslard-Kerdiles, V., Grondona, M.O., 1997. A case of combined use of crop simulation models and general linear models. Ecol. Modelling 99, 71-85.
29. Tsuji, G.Y., Uehara, G., Balas, G., 1994. DSSAT Version 3, vol. 1-3. University of Hawaii, Hawaii.
30. Veldkamp, A., Zuidema, G., Fresco, L.O., 1996. A model analysis of the terrestrial vegetation model of IMAGE 2.0 for Costa Rica. Ecol. Modelling 93, 263-273.
31. Williams, J.R., 1995. The EPIC. In: Singh, V.P. (Ed.), Computer Models of Watershed Hydrology. Water Resources Publications, Littleton, CO, pp. 909-1000 (Chapter 25).
32. Williams, J.R., et al., 1990. EPIC-Erosion/Productivity Impact Calculator. United State Department of Agriculture, Agricultural Research Service. Technical Bulletin Number 1768. Springfield, VA, USA.
33. Zhang, Y., Li, C., Zhou, X., Moore, B., 2002. A simulation model linking crop growth and soil biogeochemistry for sustainable agriculture. Ecol. Modelling 151, 75-108.