Potential value of GCM-based seasonal rainfall forecasts for maize management in semi-arid Kenya

Agricultural Systems

Volumn 101, Issue 1-2, 2009, Pages 80-90

  Hansen, James W ^a   Mishra, Ashok ^b   Rao, K P C ^c   Indeje, Matayo ^d   Ngugi, Robinson Kinuthia ^e  

^a Earth Institute   (United States)

^b INDIAN INSTITUTE OF TECHNOLOGY   (India)

^c INTERNATIONAL CROPS RESEARCH INSTITUTE FOR THE SEMI ARID TROPICS ICRISAT   (Kenya)

^d WORLD AGROFORESTRY CENTRE ICRAF   (Kenya)

^e UNIVERSITY OF NAIROBI   (Kenya)

Author keywords

Crop simulation models; General circulation model (GCM); Kenya; Risk; Seasonal climate forecast

Indexed keywords

COST-BENEFIT ANALYSIS; CROPPING PRACTICE; ESTIMATION METHOD; FERTILIZER APPLICATION; MAIZE; MODELING; RAINFALL; SEASONALITY; SEMIARID REGION; WEATHER FORECASTING;

AFRICA; EAST AFRICA; EASTERN PROVINCE [KENYA]; KATUMANI; KENYA; MAKINDU; SUB-SAHARAN AFRICA;

ZEA MAYS;

EID: 65549147370     PISSN: 0308521X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agsy.2009.03.005     Document Type: Article

References (75)

1. Anderson W.K. Plant populations for triticale in a Mediterranean environment. Field Crops Research 8 (1984) 281-295
2. Anderson J.R., Dillon J.L., and Hardaker J.B. Agricultural Decision Analysis (1977), Iowa State University Press, Ames, Iowa, USA
3. Archer E.R.M. Identifying underserved end-user groups in the provision of climate information. Bulletin of the American Meteorological Society 84 (2003) 1525-1532
4. Barnston A.G., and van den Dool H.M. A degeneracy in cross-validated skill in regression-based forecasts. Journal of Climate 6 (1993) 963-977
5. Blench R. Seasonal climate forecasting: who can use it and how should it be disseminated?. Natural Resource Perspectives 47 (1999) 1-5
6. Blench R. Forecasts and farmers: exploring the limitations. In: O'Brien K., and Vogel C. (Eds). Coping with Climate Variability: The Use of Seasonal Climate Forecasts in Southern Africa (2003), Ashgate, Hampshire, UK 59-71
7. Broad K., and Agrawala S. The Ethiopia food crisis-uses and limits of climate forecasts. Science 289 (2000) 1693-1694
8. Brown C., and Hansen J.W. Agricultural Water Management and Climate Risk. IRI Tech. Rep. No. 08-01 (2008), International Research Institute for Climate and Society, Palisades, New York, USA
9. Camberlin P., and Philippon N. The east African March-May rainy season: associated atmospheric dynamics and predictability over the 1968-97 period. Journal of Climate 15 (2002) 1002-1018
10. Christianson C.B., and Vlek P.L.G. Alleviating soil fertility constraints to food production in West Africa: efficiency of nitrogen fertilizers applied to food crops. Fertilizer Research 29 (1991) 21-33
11. de Wit C.T. Resource use efficiency in agriculture. Agricultural Systems 40 (1992) 125-151
12. Doblas-Reyes F.J., Hagedorn R., and Palmer T.N. Developments in dynamical seasonal forecasting relevant to agricultural management. Climate Research 33 (2006) 19-26
13. Efron B., and Gong G. A leisurely look at the bootstrap, the jackknife, and cross-validation. The American Statistician 37 (1983) 36-48
14. Friederichs P., and Paeth H. Seasonal prediction of African precipitation with ECHAM4-T42 ensemble simulations using a multivariate MOS re-calibration scheme. Climate Dynamics 27 (2006) 761-786
15. Goddard L., and Graham N.E. The importance of the Indian Ocean for simulating precipitation anomalies over eastern and southern Africa. Journal of Geophysical Research 104 (1999) 19099-19116
16. Goddard L., and Mason S.J. Sensitivity of seasonal climate forecasts to persisted SST anomalies. Climate Dynamics 19 (2002) 619-632
17. Hadar J., and Russell W.R. Rules for ordering uncertain prospects. American Economic Review 59 (1969) 25-34
18. Hagedorn R., Doblas-Reyes F.J., and Palmer T.N. The rationale behind the success of multi-model ensembles in seasonal forecasting-I. Basic concept. Tellus Series A. Dynamic Meteorology and Oceanography 57 (2005) 219-233
19. Hammer G.L., Hansen J.W., Phillips J., Mjelde J.W., Hill H.S.J., Love A., and Potgieter A. Advances in application of climate prediction in agriculture. Agricultural Systems 70 (2001) 515-553
20. Hansen J.W. Stochastic daily solar irradiance for biological modeling application. Agricultural and Forest Meteorology 94 (1999) 53-63
21. Hansen J.W., and Indeje M. Linking dynamic seasonal climate forecasts with crop simulation for maize yield prediction in semi-arid Kenya. Agricultural and Forest Meteorology 125 (2004) 143-157
22. Hansen J.W., and Ines A.M.V. Stochastic disaggregation of monthly rainfall data for crop simulation studies. Agricultural and Forest Meteorology 131 (2005) 233-246
23. Hansen J.W., and Mavromatis T. Correcting low-frequency variability bias in stochastic weather generators. Agricultural and Forest Meteorology 109 (2001) 297-310
24. Hansen, J.W., Selvaraju, R., 2001. Why do farmers need to understand climate forecast uncertainty? In: Proceedings of the Workshop on Communication of Climate Forecast Information. IRI-CW/01/4. International Research Institute for Climate Prediction, Palisades, New York, USA, pp. 7-9.
25. Hansen, J.W., Baethgen, W., Osgood, D., Ceccato, P., Ngugi, R.K., 2007. Innovations in climate risk management: protecting and building rural livelihoods in a variable and changing climate. Journal of Semi-Arid Tropical Agricultural Research 4(1). (Published online at ).
26. Huda A.K.S., Selvaraju R., Balasubramanian T.N., Geethalakshmi V., George D.A., and Clewett J.F. Experiences of using seasonal climate information with farmers in Tamil Nadu, India. In: Huda A.K.S., and Packham R.G. (Eds). Using Seasonal Climate Forecasting in Agriculture: A Participatory Decision-making Approach (2004), Australian Centre for International Agricultural Research, Canberra, Australia
27. Hulme M., Biot Y., Borton J., Buchanan-Smith M., Davies S., Folland C., Nichols N., Seddon D., and Ward N. Seasonal rainfall forecasting for Africa part II-application and impact assessment. International Journal of Environmental Studies 40 (1992) 103-121
28. Indeje M., Semazzi F.H.M., and Ogallo L.J. ENSO signals in East African rainfall and their prediction potentials. International Journal of Climatology 20 (2000) 19-46
29. Indeje M., Ward M.N., Ogallo L.J., Davies G., Dilley M., and Anyamba A. Predictability of the normalized difference vegetation index in Kenya and potential applications as an indicator of rift valley fever outbreaks in the Greater Horn of Africa. Journal of Climate 19 (2006) 1673-1687
30. Ines A.V.M., and Hansen J.W. Bias correction of daily GCM rainfall for crop simulation studies. Agricultural and Forest Meteorology 138 (2006) 44-53
31. Ingram K.T., Roncoli M.C., and Kirshen P.H. Opportunities and constraints for farmers of West Africa to use seasonal precipitation forecasts with Burkina Faso as a case study. Agricultural Systems 74 (2002) 331-349
32. Jones M.J., and Wahbi A. Site-factor influence on barley response to fertilizer in on-farm trials in northern Syria: descriptive and predictive models. Experimental Agriculture 36 (1992) 15-26
33. Jones J.W., Hansen J.W., Royce F.S., and Messina C.D. Potential benefits of climate forecasting to agriculture. Agriculture Ecosystems and Environment 82 (2000) 169-184
34. Keating, B.A., Wafula, B.M., Watiki, J.M., 1992. Exploring strategies for increased productivity. B: the case for maize in semi-arid Eastern Kenya. In: Probert, M.E. (Ed.), A Search for Strategies for Sustainable Dryland Cropping in Semi-arid Eastern Kenya. ACIAR Proceedings No. 41. Australian Centre for International Agricultural Research, Canberra, Australia, pp. 90-101.
35. Keating B.A., McCown R.L., and Wafula B.M. Adjustment of nitrogen inputs in response to a seasonal forecast in a region of high climatic risk. In: Penning de Vries F.W.T., Teng P., and Metselaar K. (Eds). Systems Approaches for Agricultural Development vol. 2 (1993), Kluwer Academic Publishers, Dordrecht, The Netherlands 233-252
36. 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. European Journal of Agronomy 18 (2003) 267-288
37. Kinyangi, J., Delve, R.J., Probert, M.E., 2004. Testing the APSIM model with data from a phosphorus and nitrogen replenishment experiment on an Oxisol in Western Kenya. In: Delve, R.J., Probert, M.E. (Eds.), Integrated Management in Tropical Cropping: Modelling Nutrient Management in Tropical Cropping Systems. ACIAR Proceedings No.114, ACIAR, Canberra, Australia, pp. 101-109.
38. Lemos M.C., and Dilling L. Equity in forecasting climate: can science save the world's poor?. Science and Public Policy 34 (2007) 109-116
39. Li S., and Goddard L. Retrospective forecasts with the ECHAM4.5 AGCM. IRI Tech. Rep. No. 05-2 (2005), International Research Institute for Climate and Society, Palisades, New York, USA
40. Li S., Goddard L., and DeWitt D.G. Predictive skill of AGCM seasonal climate forecasts subject to different SST prediction methodologies. Journal of Climate 20 (2008) 2169-2186
41. Meinke H., Nelson R., Kokic P., Stone R., Selvaraju R., and Baethgen W. Actionable climate knowledge: from analysis to synthesis. Climate Research 33 (2006) 101-110
42. Meza F.J., Hansen J.W., and Osgood D. Economic value of seasonal climate forecasts for agriculture: review of ex ante assessments and recommendations for future research. Journal of Applied Meteorology and Climatology 47 (2008) 1269-1286
43. Michaelsen J. Cross-validation in statistical climate forecast models. Journal of Applied Meteorology 26 (1987) 1589-1600
44. Micheni A.N., Kihanda F.M., Warren G.P., and Probert M.E. Testing the APSIM model with experimental data from the long-term manure experiment at Machang'a (Embu). In: Delve R.J., and Probert M.E. (Eds). Integrated Management in Tropical Cropping: Modelling Nutrient Management in Tropical Cropping Systems. ACIAR Proceedings No. 114 (2004), ACIAR, Canberra, Australia 110-117
45. Mjelde J.W., Thomspson T.N., Nixon C.J., and Lamb P. Utilising a farm-level decision model to help prioritise future climate predictions research needs. Meteorological Applications 4 (1997) 161-170
46. Moron V., Robertson A.W., and Ward M.N. Seasonal predictability and spatial coherence of rainfall characteristics in the tropical setting of Senegal. Monthly Weather Review 134 (2006) 3248-3262
47. Mutai C.C., and Ward M.N. East African rainfall and tropical circulation/convection on intraseasonal to interannual time-scales. Journal of Climate 8 (2000) 1533-1543
48. Mutai C.C., Ward M.N., and Coleman A.W. Towards the prediction of the East Africa short rains based on sea surface temperature atmosphere coupling. International Journal of Climatology 18 (1998) 975-997
49. Myers R.J.K., and Foale M.A. Row spacing and population density in grain sorghum-a simple analysis. Field Crops Research 4 (1981) 147-154
50. Ngugi R.K. Climate Forecast Information: The Status, Needs and Expectations among Smallholder Agro-pastoralists in Machakos District, Kenya. IRI Technical Report 02-04 (2002), International Research Institute for Climate Prediction, Palisades, New York
51. O'Brien K., Sygna L., Næss L.O., Kingamlono R., and Hochobeb B. Is Information Enough? User Responses to Seasonal Climate Forecasts in Southern Africa (2000), Center for International Climate and Environmental Research, Oslo
52. Ogallo L.J., Janowiak J.E., and Halpert M.S. Teleconnection between seasonal rainfall over East Africa and global sea surface temperature anomalies. Journal of the Meteorological Society of Japan 66 (1988) 807-822
53. Okwach G.E., and Simiyu C.S. Evaluation of long-term effects of management on land productivity in a semi-arid are of Kenya using simulation models. East African Agricultural and Forestry Journal 65 (1999) 143-155
54. Pala M., Matar A., and Mazid A. Assessment of the effects of environmental factors on the response of wheat to fertilizer in on-farm trials in Northern Syria. Experimental Agriculture 32 (1996) 339-349
55. Patt A., Suarez P., and Gwata C. Effects of seasonal climate forecasts and participatory workshops among subsistence farmers in Zimbabwe. Proceedings of the National Academy of Sciences 102 (2005) 12623-12628
56. Phillips J. Determinants of forecast use among communal farmers in Zimbabwe. In: O'Brien K., and Vogel C. (Eds). Coping with Climate Variability: The Use of Seasonal Climate Forecasts in Southern Africa (2003), Ashgate Publishing, Abingdon, UK 110-126
57. Pickering N.B., Hansen J.W., Jones J.W., Wells C.M., Chan V.K., and Godwin D.C. WeatherMan: a utility for managing and generating daily weather data. Agronomy Journal 86 (1994) 332-337
58. Piha M. Optimising fertiliser use and practical rainfall capture in a semi-arid environment with variable rainfall. Experimental Agriculture 29 (1993) 405-415
59. In: Probert M.E. (Ed). A Search for Strategies for Sustainable Dryland Cropping in Semi-arid Eastern Kenya. ACIAR Proceedings No. 41 (1992), Australian Centre for International Agricultural Research, Canberra, Australia
60. Probert, M.E., Keating, B.A., Larkens, A.G., Siambi, M.N., Undated. Regional assessment of strategies for maize production in semi-arid Eastern Kenya, CSIRO Division of Tropical Crops and Pastures Technical Memorandum, Brisbane, Australia.
61. Rao M.R., and Mathuva M.N. Legumes for improving maize yields and income in semi-arid Kenya. Agriculture, Ecosystems and Environment 78 (2000) 123-137
62. Reynolds R.W., and Smith T.M. Improved global sea surface temperature analyses using optimum interpolation. Journal of Climate 7 (1994) 929-948
63. Richardson C.W. Dependence structure of daily temperature and solar radiation. Transactions of the ASAE 25 (1982) 735-739
64. Robertson A.W., Lall U., Zebiak S.E., and Goddard L. Improved combination of multiple atmospheric GCM ensembles for seasonal prediction. Monthly Weather Review 132 (2004) 2732-2744
65. Roeckner E., Oberhuber J.M., Bacher A., Christoph M., and Kirchner I. ENSO variability and atmospheric response in a global coupled atmosphere-ocean GCM. Climate Dynamics 12 (1996) 737-754
66. Roncoli C., Jost C., Kirshen P., Sanon M., Ingram K.T., Woodin M., Somé L., Ouattara F., Sanfo B.J., Sia C., Yaka P., and Hoogenboom G. From accessing to assessing forecasts: an end-to-end study of participatory climate forecast dissemination in Burkina Faso (West Africa). Climatic Change 92 (2009) 433-460
67. Ropelewski C.F., and Halpert M. Global and regional scale precipitation patterns associated with the El Niño/Southern Oscillation. Monthly Weather Review 115 (1987) 1606-1626
68. Royce F.S., Jones J.W., and Hansen J.W. Model-based optimization of crop management for climate forecast applications. Transactions of American Society of Agriculture Engineering 44 (2001) 1319-1327
69. Shamudzarira Z., and Robertson M.J. Simulating response of maize to N fertiliser in semi-arid Zimbabwe. Experimental Agriculture 38 (2002) 79-96
70. Smith T.M., and Reynolds R.W. Extended reconstruction of global sea surface temperatures based on COADS data (1854-1997). Journal of Climate 16 (2003) 1495-1510
71. Tarhule A., and Lamb P.J. Climate research and seasonal forecasting for West Africans. Bulletin of the American Meteorological Society 84 (2003) 1741-1759
72. Thornton P.K., and MacRobert J.F. The value of information concerning near-optimal nitrogen fertilizer scheduling. Agricultural Systems 45 (1994) 315-330
73. von Neumann J., and Morgenstern O. Theory of Games and Economic Behavior (1944), Princeton University Press, Princeton, Mass, USA
74. Whitfield D.M., and Smith C.J. Effects of irrigation and nitrogen growth, light interception and efficiency in light conversion in wheat. Field Crops Research 20 (1989) 279-295
75. Ziervogel G. Targeting seasonal climate forecasts for integration into household level decisions: the case of small farmers in Lesotho. The Geographical Journal 170 (2004) 6-21