Use of ENSO-related climate information in agricultural decision making in Argentina: A pilot experience

Agricultural Systems

Volumn 74, Issue 3, 2002, Pages 371-392

  Podestá, Guillermo ^a   Letson, David ^a   Messina, Carlos ^b   Royce, Fred ^b   Ferreyra, R Andrés ^b   Jones, James ^b   Hansen, James ^c   Llovet, Ignacio ^d   Grondona, Martín ^e   O'Brien, James J ^f  

^a UNIVERSITY OF MIAMI   (United States)

^b UNIVERSITY OF FLORIDA   (United States)

^c Earth Institute   (United States)

^d UNIVERSIDAD DE BELGRANO   (Argentina)

^e Z S Ctro de Invest Balcarce   (Argentina)

^f FLORIDA STATE UNIVERSITY   (United States)

Author keywords

Argentine Pampas; Climate forecasts; Climate adaptive management; El Ni o Southern Oscillation; Linked modeling

Indexed keywords

AGRICULTURAL PRODUCTION; CLIMATE CHANGE; CLIMATE PREDICTION; DECISION MAKING; EL NINO-SOUTHERN OSCILLATION;

ZIMBABWE;

EID: 0036890985     PISSN: 0308521X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0308-521X(02)00046-X     Document Type: Article

References (61)

1. Anonymous, 2000. El seguro agrícola se abre paso, aunque le falta un largo camino. Ambito Financiero November 24, 4-5.
2. Antle, J.M., 1996. Methodological issues in assessing potential impacts of climate change on agriculture. Agricultural and Forest Meteorology 80, 67-85.
3. Barnston, A.G., Glantz, M.H., He, Y., 1999. Predictive skill of of statistical and dynamical models in SST forecasts during the 97-98 El Niño episode and the 1998 La Niña onset. Bulletin of the American Meteorological Society 80, 217-243.
4. Barnston, A.G., He, Y., Unger, D.A., 2000. A forecast product that maximizes utility for state-of-the-art seasonal climate prediction. Bulletin of the American Meteorological Society 81, 1271-1279.
5. Buizer, J.L., Foster, J., Lund, D., 2000. Global impacts and regional actions: Preparing for the 1997-1998 El Niño. Bulletin of the American Meteorological Society 81, 2121-2139.
6. Burns, D.H., 1999. Perceptions of flood risk: A case study of the Red River flood of 1997. Water Resources Research 35, 3451-3458.
7. Changnon, D., 2000. Who used and benefited from El Niño forecasts? In: Changnon, S.A. (Ed.), El Niño 1997-1998. The Climate Event of the Century. Oxford University Press, New York, pp. 109-135.
8. Changnon, S.A., Changnon, J.M., Changnon, D., 1995. Uses and applications of climate forecasts for power utilities. Bulletin of the American Meteorological Society 76, 711-720.
9. Cleveland, W.S., Devlin, S.J., 1988. Locally-weighted regression: An approach to regression analysis by local fitting. Journal of the American Statistical Association 83, 596-610.
10. Estefanell, G.A. (Ed.), 1997. El Sector Agroalimentario Argentino en los 90′. Instituto Interamericano de Cooperación para la Agricultura, Buenos Aires, Argentina.
11. Ferreyra, R.A., Podestá, G.P., Messina, C.D., Letson, D., Dardanelli, J., Guevara, E., Meira, S., 2001. A linked-modeling framework to estimate maize production risk associated with ENSO-related climate variability in Argentina. Agricultural and Forest Meteorology 107, 177-192.
12. Gershunov, A., 1998. ENSO influence on intraseasonal extreme rainfall and temperature frequencies in the contiguous United States: Implications for long-range predictability. Journal of Climate 11, 3192-3203.
13. Glantz, M.H., 1996. Currents of Change: El Niño's Impact on Climate and Society. Cambridge University Press, Cambridge, UK.
14. Grimm, A.M., Barros, V.R., Doyle, M.E., 2000. Climate variability in southern South America associated with El Niño and La Niña events. Journal of Climate 13, 35-58.
15. Grondona, M.O., Podestá, G.P., Bidegain, M., Marino, M., Hordij, H., 2000. A stochastic precipitation generator conditioned on ENSO phase: A case study in southeastern South America. Journal of Climate 13, 2973-2986.
16. Hall, A.J., Lemcoff, J.H., Trápani, M., 1981. Water stress before and during flowering in maize and its effects on yields, its components and their determinants. Maydica 26, 19-38.
17. Hall, A.J., Rebella, C.M., Ghersa, C.M., Culot, J.Ph., 1992. Field-crop systems of the Pampas. In: Pearson, C.J. (Ed.), Ecosystems of the World: Field Crop Ecosystems. Elsevier, Amsterdam, pp. 413-449.
18. Hammer, G.L., 2000. A general approach to applying seasonal climate forecasts. In: Hammer, G.L., Nicholls, N., Mitchell, C. (Eds.), Applications of Seasonal Climate Forecasting in Agricultural and Natural Ecosystems - The Australian Experience. Kluwer Academic, The Netherlands.
19. Hammer, G.L., Holzworth, D.P., Stone, R., 1996. The value of skill in seasonal climate forecasting to wheat crop management in a region with high climatic variability. Australian Journal of Agricultural Research 47, 717-737.
20. Hansen, J.W., Jones, J.W., 2000. Scaling-up crop models for climate variability applications. Agricultural Systems 65, 43-72.
21. Hansen, J.W., Jones,.J.W., Magrin, G., Meira, S.G., Guevara, E.R., Travasso, M.I., Dìaz, R.A., Marino, M., Hordij, H., Harwell, C., Podestá, G., 1996. ENSO effects on yields and economic returns of wheat, corn, and soybean in Argentina. Actas del VII Congreso Argentino y VII Congreso Latinoamericano e Ibérico de MeteorologÌa. Buenos Aires, Argentina, 2-6 September 1996, pp. 89-90.
22. Hill, H.S.J., Butler, D., Fuller, S.W., Hammer, G., Holzworth, D., Love, H.A., Meinke, H., Mjelde, J.W., Park, J., Rosenthal, W., 2001. Effects of seasonal climate variability and the use of climate forecasts on wheat supply in the United States, Australia and Canada. In: Rosenzweig, C. et al. (Eds.), Impacts of El Niño and Climate Variability on Agriculture. ASA Special Publication Number 63. ASA, CSSA and SSSA, Madison, Wisconsin, USA, pp. 101-123.
23. Hooke, W.A., Pielke Jr., R.A., 2000. Short-term weather prediction: An orchestra in need of a conductor. In: Sarewitz, D., Pielke Jr., R.A., Byerly Jr., R. (Eds.), Prediction: Science, Decision-Making, and the Future of Nature. Island Press, Washington, DC, pp. 61-83.
24. Ingber, L., 1993. Simulated annealing: Practice versus theory. Mathematical Computer Modelling 18, 29-57.
25. Inter-American Development Bank, 1999. Basic Socio-Economic Data Report: Argentina. Statistics and Quantitative Analysis Unit, Integration and Regional Programs Department. Available: www.iadb.org/int/sta/english/brpnet/english/argbrpt.htm.
26. Jones, S.A., Fischhoff, B., Lach, D., 1999. Evaluating the science-policy interface for climate change research. Climatic Change 43, 581-599.
27. Keppene, C.L., 1995. An ENSO signal in soybean futures prices. Journal of Climate 8, 1685-1689.
28. Latif, M., Anderson, D., Barnett, T., Cane, M., Kleeman, R., Leetmaa, A., O'Brien, J., Rosati, A., Schneider, E., 1998. A review of the predictability and prediction of ENSO. Journal of Geophysical Research 103, 14375-14393.
29. Lema, D., Brescia., V., 1998. La convergencia de los precios agrícolas de la Argentina y de los EE.UU. La "ley de un solo precio" para los commodities pampeanos [The Convergence of Agricultural Prices for Argentina and the US: The "Law of One Price" for Commodities in the Pampas]. Instituto Nacional de Tecnología Agropecuaria (INTA), Instituto de Economia y Sociología Documento de Trabajo No. 2. Available from INTA, Cerviño 3101, Buenos Aires, Argentina.
30. Letson, D., Llovet, I., Podestá, G.P, Royce, F., Brescia, V., Lema, D., Parellada, G. 2001. User perspectives of climate forecasts: Crop producers in Pergamino, Argentina. Climate Research 19, 57-67.
31. Magrin, G.O., Grondona, M.O., Travasso, M.I., Boullón, D.R., Rodriguez, G.R., Messina, C.D., 1998. Impacto del fenómeno "El Niño" sobre la producción de cultivos en la region pampeana [Impact of the "El Niño" phenomenon on crop production in the Pampas]. Instituto Nacional de Tecnología Agropecuaria (INTA), Instituto de Clima y Agua. Available from INTA, 1712 Buenos Aires, Argentina.
32. Mason, S.J., Goddard, L., Graham, N.E., Yulaeva, V, Sun, L., Arkin, P.A., 1999. The IRI seasonal climate prediction system and the 1997/98 El Niño event. Bulletin of the American Meteorological Society 80, 1853-1873.
33. Meinke, H., Hochman, Z., 2000. Using seasonal climate forecasts to manage dryland crops in northern Australia. In: Hammer, G.L., Nicholls, N., Mitchell, C. (Eds.), Applications of Seasonal Climate Forecasting in Agricultural and Natural Ecosystems - The Australian Experience. Kluwer Academic, The Netherlands, pp. 149-165.
34. Meinke, H., Baethgen, W., Carberry, P.S., Donatelli, M., Hammer, G.L., Selvaraju, R. and Stöckle, C., 2001. Increasing profits and reducing risks in crop production using participatory systems simulation approaches. Agricultural Systems 70, 493-513.
35. Messina, C.D., Hansen, J.W., Hall, A.J., 1999. Land allocation conditioned on ENSO phases in the Pampas of Argentina. Agricultural Systems 60, 197-212.
36. Meyer, S.J., Hubbard, K.G., Wilhite, D.A., 1991. The relationship of climatic indices and variables to corn (maize) yields: A principal components analysis. Agricultural and Forest Meteorology 55, 59-84.
37. Montecinos, A., Díaz, A., Aceituno, P., 2000. Seasonal diagnostics and predictability of rainfall in subtropical South America based on tropical Pacific SST. Journal of Climate 13, 746-758.
38. Morgan, M.G., Fischhoff, B., Bostrom, A., Lave, L., Atman, C.J., 1992. Communicating risk to the public: First, learn what people know and believe. Environmental Science and Technology 26, 2048-2056.
39. Nelson, R.A., Holzworth, D.P., Hammer, G.L., Hayman, P.T., 2002. Infusing use of seasonal climate forecasts into crop management practice in NE Australia using discussion support software. Agricultural Systems; PII: S0308-521X(02)00047-1.
40. Nicholls, N., 1999. Cognitive illusions, heuristics and climate prediction. Bulletin of the American Meteorological Society 80, 1385-1397.
41. O'Brien, K., Sygna, L., Næess, L.O., Kingamkono, R., Hochobeb, B., 2000. Is information enough? User responses to seasonal climate forecasts in Southern Africa. CICERO Report 2000:3. Center for International Climate and Environmental Research, Oslo.
42. Phillips, J., Rajagopalan, B., Cane, M., Rosenzweig, C., 1999. The role of ENSO in determining climate and maize yield variability in the U.S. Cornbelt. International Journal of Climatology 19, 877-888.
43. Pielke Jr., R.A., 2000. Policy responses to El Niño 1997-1998. In: Changnon, S.A. (Ed.), El Niño 1997-1998. The Climate Event of the Century. Oxford University Press, New York, pp. 172-196.
44. Plous, R., 1993. The Psychology of Judgment and Decision Making. Temple University Press, Philadelphia.
45. Podestá, G.P., Messina, C.D., Grondona, M.O., Magrin, G.O., 1999. Associations between grain crop yields in central-eastern Argentina and El Niño-Southern Oscillation. Journal of Applied Meteorology 38, 1488-1498.
46. Pulwarty, R.S., Redmond, K.T., 1997. Climate and salmon restoration in the Columbia River Basin: The role and usability of seasonal forecasts. Bulletin of the American Meteorological Society 78, 381-397.
47. Ritchie, J.T., Singh, U., Godwin, D.C., Bowen, W.T., 1998. Cereal growth, development and yield. In: Tsuji, G.Y., Hoogenboom, G., Thornton, P.K. (Eds.), Understanding Options for Agricultural Production. Kluwer Academic Publishers, Dordrecht, The Netherlands, pp. 79-98.
48. Ropelewski, C.F., Halpert, M.S., 1987. Global and regional scale patterns associated with the El Niño/Southern Oscillation. Monthly Weather Review 115, 1606-1626.
49. Ropelewski, C.F., Halpert, M.S., 1989. Precipitation patterns associated with the high index phase of the Southern Oscillation. Journal of Climate 2, 268-284.
50. Ropelewski, C.F., Halpert, M.S., 1996. Quantifying Southern Oscillation-precipitation relationships. Journal of Climate 9, 1043-1059.
51. Royce, F.S., Jones, J.W., Hansen, J.W., 2001. Model-based optimization of crop management for climate forecast applications. Trans. ASAE 44, 1319-1327.
52. Slovic, P., 1987. Perceptions of risk. Science 236, 280-285.
53. Sonka, S.T., Mjelde, J.W., Lamb, P.J., Hollinger, S.E., Dixon, B.L., 1987. Valuing climate forecast information. Journal of Climate and Applied Meteorology 26, 1080-1091.
54. Stern, P.C., Easterling, W.E. (Eds.), 1999. Making Climate Forecasts Matter. National Academy Press, Washington, DC.
55. Stewart, J.I., 1991. Principles and performance of response farming. In: Muchow, R.C., Bellamy, J.A. (Eds.), Climatic Risk in Crop Production: Models and Management for the Semiarid Tropics and Subtropics. CAB International, Wallingford, UK, pp. 361-382.
56. Stewart, T.R., 2000. Uncertainty, judgment, and error in prediction. In: Sarewitz, D., Pielke Jr., R.A., Byerly Jr., R. (Eds.), Prediction: Science, Decision-Making, and the Future of Nature. Island Press, Washington, DC, pp. 41-60.
57. Trenberth, K., 1997. Short-term climate variations: Recent accomplishments and issues for future progress. Bulletin of the American Meteorological Society 78, 1081-1096.
58. Tversky, A., Kahneman, D., 1974. Judgment under uncertainty: Heuristics and biases. Science 185, 1124-1130.
59. Widmann, M., Schär, C., 1997. A principal component and long-term trend analysis of daily precipitation in Switzerland. International Journal of Climatology 17, 1333-1356.
60. Wilkins, L., 2000. Was El Niño a weather metaphor-A signal for global warming? In: Changnon, S.A. (Ed.), El Niño 1997-1998. The Climate Event of the Century. Oxford University Press, New York, pp. 49-67.
61. Wilks, D.S., 1995. Statistical Methods in the Atmospheric Sciences. Academic Press, New York.