IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v74y2002i3p309-330.html
   My bibliography  Save this article

Realizing the potential benefits of climate prediction to agriculture: issues, approaches, challenges

Author

Listed:
  • Hansen, James W.

Abstract

No abstract is available for this item.

Suggested Citation

  • Hansen, James W., 2002. "Realizing the potential benefits of climate prediction to agriculture: issues, approaches, challenges," Agricultural Systems, Elsevier, vol. 74(3), pages 309-330, December.
    • Handle: RePEc:eee:agisys:v:74:y:2002:i:3:p:309-330
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308-521X(02)00043-4
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ingram, K. T. & Roncoli, M. C. & Kirshen, P. H., 2002. "Opportunities and constraints for farmers of west Africa to use seasonal precipitation forecasts with Burkina Faso as a case study," Agricultural Systems, Elsevier, vol. 74(3), pages 331-349, December.
    2. Messina, C. D. & Hansen, J. W. & Hall, A. J., 1999. "Land allocation conditioned on El Nino-Southern Oscillation phases in the Pampas of Argentina," Agricultural Systems, Elsevier, vol. 60(3), pages 197-212, June.
    3. Maxx Dilley, 2000. "Reducing Vulnerability to Climate Variability in Southern Africa: The Growing Role of Climate Information," Climatic Change, Springer, vol. 45(1), pages 63-73, April.
    4. Meinke, H. & Baethgen, W. E. & Carberry, P. S. & Donatelli, M. & Hammer, G. L. & Selvaraju, R. & Stockle, C. O., 2001. "Increasing profits and reducing risks in crop production using participatory systems simulation approaches," Agricultural Systems, Elsevier, vol. 70(2-3), pages 493-513.
    5. James W. Mjelde & Harvey S.J. Hill & John F. Griffiths, 1998. "A Review of Current Evidence on Climate Forecasts and Their Economic Effects in Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(5), pages 1089-1095.
    6. Hammer, G. L. & Hansen, J. W. & Phillips, J. G. & Mjelde, J. W. & Hill, H. & Love, A. & Potgieter, A., 2001. "Advances in application of climate prediction in agriculture," Agricultural Systems, Elsevier, vol. 70(2-3), pages 515-553.
    7. Thornton, P. K. & Herrero, M., 2001. "Integrated crop-livestock simulation models for scenario analysis and impact assessment," Agricultural Systems, Elsevier, vol. 70(2-3), pages 581-602.
    8. James W. Mjelde & Steven T. Sonka & Bruce L. Dixon & Peter J. Lamb, 1988. "Valuing Forecast Characteristics in a Dynamic Agricultural Production System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(3), pages 674-684.
    9. Jagtap, S. S. & Jones, J. W. & Hildebrand, P. & Letson, D. & O'Brien, J. J. & Podesta, G. & Zierden, D. & Zazueta, F., 2002. "Responding to stakeholder's demands for climate information: from research to applications in Florida," Agricultural Systems, Elsevier, vol. 74(3), pages 415-430, December.
    10. Everingham, Y. L. & Muchow, R. C. & Stone, R. C. & Inman-Bamber, N. G. & Singels, A. & Bezuidenhout, C. N., 2002. "Enhanced risk management and decision-making capability across the sugarcane industry value chain based on seasonal climate forecasts," Agricultural Systems, Elsevier, vol. 74(3), pages 459-477, December.
    11. Anderson, Jock R. & Dillon, John L. & Hardaker, Brian, 1977. "Agricultural Decision Analysis," Monographs: Applied Economics, AgEcon Search, number 288652, July.
    12. McFadden, Daniel, 1999. "Rationality for Economists?," Journal of Risk and Uncertainty, Springer, vol. 19(1-3), pages 73-105, December.
    13. Christopher B. Barrett, 1998. "The Value of Imperfect ENSO Forecast Information: Discussion," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(5), pages 1109-1112.
    14. A. Pfaff & K. Broad & M. Glantz, 1999. "Who benefits from climate forecasts?," Nature, Nature, vol. 397(6721), pages 645-646, February.
    15. Nelson, R. A. & Holzworth, D. P. & Hammer, G. L. & Hayman, P. T., 2002. "Infusing the use of seasonal climate forecasting into crop management practice in North East Australia using discussion support software," Agricultural Systems, Elsevier, vol. 74(3), pages 393-414, December.
    16. James W. Mjelde & Troy N. Thompson & Clair J. Nixon, 1996. "Government Institutional Effects on the Value of Seasonal Climate Forecasts," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(1), pages 175-188.
    17. Podesta, Guillermo & Letson, David & Messina, Carlos & Royce, Fred & Ferreyra, R. Andres & Jones, James & Hansen, James & Llovet, Ignacio & Grondona, Martin & O'Brien, James J., 2002. "Use of ENSO-related climate information in agricultural decision making in Argentina: a pilot experience," Agricultural Systems, Elsevier, vol. 74(3), pages 371-392, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. World Bank, 2010. "Improving Water Management in Rainfed Agriculture : Issues and Options in Water-Constrained Production Systems," World Bank Publications - Reports 13028, The World Bank Group.
    2. Carla Roncoli & Christine Jost & Paul Kirshen & Moussa Sanon & Keith Ingram & Mark Woodin & Léopold Somé & Frédéric Ouattara & Bienvenue Sanfo & Ciriaque Sia & Pascal Yaka & Gerrit Hoogenboom, 2009. "From accessing to assessing forecasts: an end-to-end study of participatory climate forecast dissemination in Burkina Faso (West Africa)," Climatic Change, Springer, vol. 92(3), pages 433-460, February.
    3. Bert, Federico E. & Satorre, Emilio H. & Toranzo, Fernando Ruiz & Podesta, Guillermo P., 2006. "Climatic information and decision-making in maize crop production systems of the Argentinean Pampas," Agricultural Systems, Elsevier, vol. 88(2-3), pages 180-204, June.
    4. Cabrera, Victor E. & Letson, David & Podesta, Guillermo, 2007. "The value of climate information when farm programs matter," Agricultural Systems, Elsevier, vol. 93(1-3), pages 25-42, March.
    5. Carla Roncoli & Benjamin Orlove & Merit Kabugo & Milton Waiswa, 2011. "Cultural styles of participation in farmers’ discussions of seasonal climate forecasts in Uganda," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 28(1), pages 123-138, February.
    6. Graham R. Marshall & Kevin A. Parton & G.L. Hammer, 1996. "Risk Attitude, Planting Conditions And The Value Of Seasonal Forecasts To A Dryland Wheat Grower," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 40(3), pages 211-233, December.
    7. Carter, Chris & Crean, Jason & Kingwell, Ross S. & Hertzler, Greg, 2006. "Managing and Sharing the Risks of Drought in Australia," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25319, International Association of Agricultural Economists.
    8. Hammer, G. L. & Hansen, J. W. & Phillips, J. G. & Mjelde, J. W. & Hill, H. & Love, A. & Potgieter, A., 2001. "Advances in application of climate prediction in agriculture," Agricultural Systems, Elsevier, vol. 70(2-3), pages 515-553.
    9. Kusunose, Yoko & Mahmood, Rezaul, 2016. "Imperfect forecasts and decision making in agriculture," Agricultural Systems, Elsevier, vol. 146(C), pages 103-110.
    10. N. Marshall & I. Gordon & A. Ash, 2011. "The reluctance of resource-users to adopt seasonal climate forecasts to enhance resilience to climate variability on the rangelands," Climatic Change, Springer, vol. 107(3), pages 511-529, August.
    11. Hansen, James W. & Mishra, Ashok & Rao, K.P.C. & Indeje, Matayo & Ngugi, Robinson Kinuthia, 2009. "Potential value of GCM-based seasonal rainfall forecasts for maize management in semi-arid Kenya," Agricultural Systems, Elsevier, vol. 101(1-2), pages 80-90, June.
    12. Nguyen, Nam C. & Wegener, Malcolm K. & Russell, Iean W., 2007. "Decision support systems in Australian agriculture: state of the art and future development," AFBM Journal, Australasian Farm Business Management Network, vol. 4(1-2), pages 1-7.
    13. Mjelde, J. W. & Hill, H. S. J., 1999. "The effect of the use of improved climate forecasts on variable costs, input usage, and production," Agricultural Systems, Elsevier, vol. 60(3), pages 213-225, June.
    14. Jagtap, S. S. & Jones, J. W. & Hildebrand, P. & Letson, D. & O'Brien, J. J. & Podesta, G. & Zierden, D. & Zazueta, F., 2002. "Responding to stakeholder's demands for climate information: from research to applications in Florida," Agricultural Systems, Elsevier, vol. 74(3), pages 415-430, December.
    15. Cao, Juan & Zhang, Zhao & Tao, Fulu & Chen, Yi & Luo, Xiangzhong & Xie, Jun, 2023. "Forecasting global crop yields based on El Nino Southern Oscillation early signals," Agricultural Systems, Elsevier, vol. 205(C).
    16. Jesse B. Tack & David Ubilava, 2015. "Climate and agricultural risk: measuring the effect of ENSO on U.S. crop insurance," Agricultural Economics, International Association of Agricultural Economists, vol. 46(2), pages 245-257, March.
    17. Mark Jury, 2013. "Climate prediction experiences in southern Africa 1990–2005 and key outcomes," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(3), pages 1883-1894, February.
    18. Nadolnyak, Denis A. & Novak, James L. & Vedenov, Dmitry V. & Paz, Joel O. & Fraisse, Clyde W. & Hoogenboom, Gerrit, 2007. "Non-Parametric Analysis of ENSO Impacts on Yield Distributions: Implications for GRP Contract Design," 2007 Annual Meeting, February 4-7, 2007, Mobile, Alabama 34858, Southern Agricultural Economics Association.
    19. Mark R. Rosenzweig & Christopher R. Udry, 2019. "Assessing the Benefits of Long-Run Weather Forecasting for the Rural Poor: Farmer Investments and Worker Migration in a Dynamic Equilibrium Model," NBER Working Papers 25894, National Bureau of Economic Research, Inc.
    20. Meinke, H. & Baethgen, W. E. & Carberry, P. S. & Donatelli, M. & Hammer, G. L. & Selvaraju, R. & Stockle, C. O., 2001. "Increasing profits and reducing risks in crop production using participatory systems simulation approaches," Agricultural Systems, Elsevier, vol. 70(2-3), pages 493-513.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agisys:v:74:y:2002:i:3:p:309-330. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agsy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.