Forecasting water allocations for Bundaberg sugarcane farmers

Climate Research

Volumn 36, Issue 3, 2008, Pages 231-239

  Everingham, Yvette ^a   Baillie, Craig ^b   Inman Bamber, Geoff ^c   Baillie, Justine ^d  

^a JAMES COOK UNIVERSITY   (Australia)

^b UNIVERSITY OF SOUTHERN QUEENSLAND   (Australia)

^c CSIRO   (Australia)

^d SunWater   (Australia)

Author keywords

Adoption; APSIM; Barriers; Irrigation; Participatory; Predict; Southern Oscillation

Indexed keywords

FARMS; IRRIGATION; SUGAR CANE; WATER MANAGEMENT;

AGRICULTURAL WORKER; AGROMETEOROLOGY; CLIMATE PREDICTION; FORECASTING METHOD; HYDROLOGICAL MODELING; INFLOW; MAXIMUM LIKELIHOOD ANALYSIS; PARTICIPATORY APPROACH; PROBABILITY; SUGAR CANE; WATER AVAILABILITY;

AUSTRALASIA; AUSTRALIA; BUNDABERG; QUEENSLAND;

EID: 48749120281     PISSN: 0936577X     EISSN: None     Source Type: Journal    
DOI: 10.3354/cr00743     Document Type: Article

References (39)

1. Abawi GY, Dutta SC (1998) Forecasting of stream-flows in NE-Australia based on the Southern Oscillation Index. In: Proc Int Conf on Engineering in Agriculture, Perth, Western Australia (27-30 September). Paper SEAg 98/067, Institute of Engineers Australia
2. Baillie CP (2004) Strategies for maximising sugarcane yield with limited water in the Bundaberg district. MS thesis, University of Southern Queensland, Toowoomba
3. Callahan B, Miles E, Fluharty D (1999) Policy implications of climate forecasts for water resources management in the Pacific Northwest. Policy Sci 32:269-293
4. Carberry PS, Hochman Z, McCown RL, Dalgliesh NP and others (2002) The FARMSCAPE approach to decision support: farmers', advisers', researchers' monitoring, simulation, communication and performance evaluation. Agric Syst 74:141-177
5. Chiew FHS, Piechota TC, Dracup JA, McMahon TA (1998) El Nño /Southern Oscillation and Australian rainfall, streamflow and drought: links and potential for forecasting. J Hydrol 204:138-149
6. Chiew FHS, Zhou SL, McMahon TA (2003) Use of seasonal streamflow in water resources management. J Hydrol 270: 135-144
7. Everingham YL, Muchow RC, Stone RC, Inman-Bamber NG, Singels A, Bezuidenhout CN (2002a) Enhanced risk management and decision-making capability across the sugar industry value chain based on seasonal climate forecasts. Agric Syst 74:459-477
8. Everingham YL, Inman-Bamber NG, Smith DM (2002b) Seasonal climate forecasts to enhance decision making capability across the sugar industry value chain. In: Bruce RC (ed) Proc Aust Soc Sugar Cane Technol 24:67-74 Scribe Consulting, Brisbane
9. Garbrecht JD, Schneider JM (2007) Climate forecast and prediction product dissemination for agriculture in the United States. Aust J Agric Res 58:966-974
10. Hamlet AF, Huppert D, Lettenmaier DP (2002) Economic value of long-lead streamflow forecasts for Columbia River hydropower. J Water Res Plann Manag 128:91-101
11. Hartmann HC, Pagano TC, Sorooshian S, Bales R (2002) Confidence builders: evaluating seasonal climate forecasts from user perspectives. Bull Am Meteorol Soc 83:683-698
12. Hayman P, Crean J, Mullen J, Parton K (2007) How do probabilistic seasonal climate forecasts compare with other innovations that Australian farmers are encouraged to adopt? Aust J Agric Res 58:975-984
13. Inman-Bamber NG (2000) History of the CANEGRO model. In: O'Leary GJ, Kiker GA (eds) Proc 1st Int Workshop on the Canegro sugarcane model, Mount Edgecombe, South Africa, 4-7 August 2000, South African Sugar Technologists Association, Mount Edgecombe, p 5-8
14. Inman-Bamber NG, McGlinchey MG (2003) Crop coefficients and water-use estimates for sugarcane based on long-term Bowen ratio energy balance measurements. Field Crops Res 83:125-138
15. Inman-Bamber NG, Everingham YL, Muchow RC (2001) Modelling water stress response in sugarcane: validation and application of the APSIM-sugarcane model. In: Proc 10th Aust Agron Conf. The Australian Society of Agronomy, Hobart
16. Inman-Bamber NG, Baillie C, Willcox J (2002) Tools for improving efficiency of limited water use in sugarcane. In: Sutton BG (ed) Proc Irrig Assoc Aus Natl Conf, Sydney, 21-23 May 2002, Irrigation Association of Australia, Hornsby, p 251-259
17. Inman-Bamber NG, Attard SA, Baillie C, Lawson D, Simpson L (2005) A web-based system for planning use of limited irrigation water in sugarcane. Aust Soc Sugar Cane Technol 27:170-181
18. Isbell RF (1996). The Australian soil classification. In: Australian soil and land survey handbook, Vol 4. CSIRO Publishing, Melbourne
19. Keating BA, Robertson MJ, Muchow RC, Huth NI (1999) Modelling sugarcane production systems. Development and performance of the sugarcane module. Field Crops Res 61:253-271
20. Martin A, Sherington J (1997) Participatory research methods - implementation, effectiveness and institutional context. Agric Syst 55:195-216
21. McBride JL, Nicholls N (1983) Seasonal relationships between Australian rainfall and the southern oscillation. Mon Weather Rev 111(1822):1998-2003
22. McCown RL (2002) Changing systems for supporting farmers' decisions: problems, paradigms, and prospects. Agric Syst 74:179-220
23. McTaggart R (1997a) Guiding principles for participatory action research. In: McTaggart R (ed) Participatory action research: international contexts and consequences. State University of New York Press, Albany, p 25-45
24. McTaggart R (1997b) Reading the collection. In: McTaggart R (ed) Participatory action research: international contexts and consequences. State University of New York Press, Albany, p 1-24
25. Muchow RC, Keating BA (1998) Assessing irrigation requirements in the Ord Sugar Industry using a simulation modelling approach. Aust J Exp Agric 38:345-354
26. Oquist P (1978) The epistemology of action research. Acta Sociol 21:143-163
27. Pagano TC, Garen DC (2008) Integration of climate information and forecasts into western US water supply forecasts. ASCE Monograph on the use of climate information in water management. J Am Water Res Assoc (in press)
28. Pagano TC, Hartmann HC, Sorooshian S (2001) Using climate forecasts for water management: Arizona and the 1997-1998 El Niño. J Am Water Resour Assoc 37:1139-1153
29. Pittock AB (1975) Climatic change and the patterns of variation in Australian rainfall. Search 6:498-504
30. Pulwarty RS, Melis TS (2001) Climate extremes and adaptive management on the Colorado River: lessons from the 1997-1998 ENSO event. J Environ Manage 63:307-324
31. Queensland Government, Department of Natural Resources (2000) Interim resources operations licence for Bundaberg water supply scheme issued to SunWater. Available at www.sunwater.com.au (accessed on November 2000)
32. Ritchie JW, Abawi GY, Dutta SC, Harris TR, Bange M (2004) Risk management strategies using seasonal climate forecasting in irrigated cotton production: a tale of stochastic dominance. Aust J Agr Resour Econ 44:247-257
33. Singels A, Kennedy AJ, Bezuidenhout CN (1998) Irricane: a simple computerised irrigation scheduling method for sugarcane. S Afr Sugar Technol Assoc 72:117-122
34. Sivakumar MVK (2006) Climate prediction and agriculture: current status and future challenges. Clim Res 33:3-17
35. Stone RC, Auliciems A (1992) SOI phase relationships with rainfall in eastern Australia. Int J Climatol 12:625-636
36. Stone RC, Hammer GL, Marcussen T (1996) Prediction of global rainfall probabilities using phases of the Southern Oscillation Index. Nature 384:252-255
37. Triola MF 2008. Elementary statistics, 10th edn. Pearson Education, Boston, MA
38. Wernstedt K, Hersh R (2002) Climate forecasts in flood planning: promise and ambiguity. J Am Water Resour Assoc 38:1703-1713
39. Ziervogel G, Bithell M, Washington R, Downing T (2005) Agent-based social simulation: a method for assessing the impact of seasonal climate forecast applications among smallholder farmers. Agric Syst 83:1-26