The economic value of improved agrometeorological information to irrigators amid climate variability

International Journal of Climatology

Volumn 32, Issue 4, 2012, Pages 567-581

  Mushtaq, Shahbaz ^a   Chen, Charlie ^c   Hafeez, Mohsin ^b   Maroulis, Jerry ^a   Gabriel, Hamza ^b  

^a UNIVERSITY OF SOUTHERN QUEENSLAND   (Australia)

^b CHARLES STURT UNIVERSITY   (Australia)

^c CSIRO   (Australia)

Author keywords

Australia; Economic value; Forecasting; Non linear programming; Water allocation; Water policy

Indexed keywords

AGRICULTURAL PRODUCTIONS; ALLOCATION LEVELS; AUSTRALIA; CLIMATE VARIABILITY; COLEAMBALLY IRRIGATION AREAS; CROP YIELD; DEFICIT IRRIGATION; ECONOMIC BENEFITS; ECONOMIC VALUE; ECONOMIC VALUES; GROSS MARGIN; INSURANCE INDUSTRY; KNOWLEDGE BENEFITS; POLICY MAKERS; PROFIT FUNCTION; REALISTIC SCENARIO; SEASONAL IRRIGATION; SEASONAL RAINFALL; SOUTHEASTERN AUSTRALIA; TACTICAL RESPONSE; WATER ALLOCATION; WATER ALLOCATIONS; WATER POLICY; WATER SCARCITY; WINTER CROPS;

CLIMATE CHANGE; COMPUTER PROGRAMMING; CROPS; ECONOMIC ANALYSIS; FORECASTING; IRRIGATION; PROFITABILITY;

WATER MANAGEMENT;

AGROMETEOROLOGY; CLIMATE CHANGE; CLIMATE EFFECT; CLIMATE VARIATION; CROP YIELD; CROPPING PRACTICE; ECONOMIC ANALYSIS; IRRIGATION; NUMERICAL MODEL; POLICY MAKING; RESOURCE ALLOCATION; RESOURCE ASSESSMENT; RESOURCE SCARCITY; WATER SUPPLY;

AUSTRALIA; COLEAMBALLY; NEW SOUTH WALES;

EID: 84862828268     PISSN: 08998418     EISSN: 10970088     Source Type: Journal    
DOI: 10.1002/joc.2015     Document Type: Article

References (42)

1. Abawi GY, Smith RJ, Brady DK. 1995. Assessment of the value of long range weather forecasts in wheat harvest management. Journal of Agricultural Engineering Resources 52: 39-48.
2. Adams RM, Bryant KJ, Mccarl BA, Legler DM, O'Brien J, Solow A, Weiher R. 1995. Value of improved long range weather information. Contemporary Economic Policy 13(3): 10-19.
3. Adams RM, Hurd BH, Lenhart S, Leary N. 1998. Effects of global climate change on agriculture: an interpretative review. Climate Research 11: 19-30.
4. Bjornlund H, Rossini P. 2007. Fundamentals determining prices in the market for water entitlements: an Australian Case Study. International Journal of Water Resources Development 23(3): 537-553.
5. Cabrera VE, Fraisse CW, Letson D, Podestá G, Novak J. 2006. Impact of climate information on reducing farm risk by optimizing crop insurance strategy. Transactions of the ASABE 49(4): 1223-1233.
6. Cabrera V, Letson D, Podesta G. 2007. The value of climate information when farm programs matter. Agricultural Systems 93(1-3): 25-42.
7. Cancelliere A, Giuliano G, Ancarani A, Rossi G. 2002. A neural networks approach for deriving irrigation reservoir operating rules. Water Resources Management 16(1): 71-88.
8. Carberry P, Hammer G, Meinke H, Bange M. 2000. The potential value of seasonal climate forecasting in managing cropping systems. In Application of Seasonal Climate Forecasting in Agricultural and Natural Ecosystems: The Australian Experience, Hammer GL, Nicholls N, Mitchell C. (eds.). Kluwar Academic Publishers: Dordrecht, Netherlands; 167-181.
9. CICL. 2006. Annual Environment Report 2006, Colemabally Irrigation Cooperative Limited, NSW, Australia.
10. Dwyer G, Loke P, Appels D, Stone S, Peterson D. 2005. Integrating rural and urban water markets in south east Australia: preliminary analysis. Paper presented at OECD Workshop on Agriculture and Water: Sustainability, Markets and Policies, Adelaide, 14-18 November.
11. Hamlet AF, Huppert D, Lettenmaier DP. 2002. Economic value of long-lead streamflow forecasts for Columbia river hydropower. Journal of Water Resources Planning and Management 128(2): 91-101.
12. Hammer GL, Carberry P, Stone R. 2000. Comparing the value of seasonal climate forecasting systems in managing cropping systems. In Applications of Seasonal Climate Forecasting in Agricultural and Natural Ecosystems-The Australian Experience, Hammer Gl, Nicholls N Mitchell C (eds). Kluwer Academic Publishers: Dordrecht, Netherlands; 183-195.
13. Isik M, Coble KH, Hudson D, House LO. 2003. A model of entry-exit decisions and capacity choice under demand uncertainty. Agricultural Economics 28(3): 215-224.
14. Jones JW, Hansen JW, Royce FS, Messina CD. 2000. Potential benefits of climate forecasting to agriculture. Agriculture, Ecosystems and Environment 82: 169-184.
15. Kerr RA. 1998. Climate Prediction: models win big in forecasting El Niño. Science 280(5363): 522-523.
16. Khan S, Dassanayake D Rana T. 2005. Ocean based water allocation forecasts using an artificial intelligence approach. In MODSIM 2005 International Congress on Modelling and Simulation, Zerger A, Argent RM (eds). Modelling and Simulation Society of Australia and New Zealand: Melbourne, Australia; December 2005, 1667-1673.
17. Khan S, Hanjra MA, Mushtaq S, Dassanayake D. Modelling Seasonal Water Allocations and Trading Prices for Better Irrigation Management. Irrigation and Drainage Journal (in press).
18. Khan S, Taiq R, Hanjra MA, Zirilli J. 2009. Water markets and soil salinity nexus: can minimum irrigation intensities address the issue? Agricultural Water Management 96: 493-503, DOI:10.1016/j.agwat.2008.09.014.
19. Khan S, Triaq R, Yuanlai C, Blackwell J. 2006. Can irrigation be sustainable? Agricultural Water Management 80(1-3): 87-99.
20. Kumar BP. 2002. Review of groundwater use and groundwater behaviour in the Lower Murrumbidgee Groundwater Management Area, Groundwater Status Report Number 6, Department of Natural Resource (DNR), NSW, Australia.
21. Lawrence JA, Pasternack BA. 1998. Applied Management Science: A Computer-Integrated Approach for Decision Making. John Wiley and Sons: New York.
22. Marshall GR, Parton KA, Hammer GL. 1996. Risk attitude, planting conditions and the value of seasonal forecasts to a dryland wheat grower. Australian Journal of Agricultural Economics 40: 211-233.
23. Matlab 7.1. 2005. The MathWorks, Inc. Crystal Glen Office Centre, 39555 Orchard Hill Place, Suite 280, Novi, MI 48375, United States.
24. McIntosh PC, Ash AJ, Stafford Smith M. 2005. From oceans to farms: the value of a novel statistical climate forecast for agricultural management. Journal of Climate 18: 4287-4302.
25. McIntosh PC, Pook MJ, Risbey JS, Lisson SN, Rebbeck M. 2007. Seasonal climate forecasts for agriculture: towards better understanding and value. Field Crops Research 104(1-3): 130-138.
26. Meinke H, Carberry PS, Hammer GL, Stone RC. 1998. The use of seasonal climate forecasts in cropping systems management. Proceedings of the 9th Australian Agronomy Conference, Wagga Wagga, 641-644.
27. Meinke H, Stone CR. 2005. Seasonal and inter-annual climate forecasting: the new tool for increasing preparedness to climate variability and change in agricultural planning and operations. Climatic Change 70: 221-253.
28. Meza JF, Hansen WJ, Osgood D. 2008. 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: 1269-1286.
29. Meza FJ, Wilks DS. 2003. Value of operational forecasts of seasonal average sea surface temperature anomalies for selected rain-fed agricultural locations of Chile. Agricultural and Forest Meteorology 116(3-4): 137-158.
30. Meza FJ, Wilks DS, Riha SJ, Stedinger JR. 2003. Value of perfect forecasts of sea surface temperature anomalies for selected rain-fed agricultural locations of Chile. Agricultural and Forest Meteorology 116(3-4): 117-135.
31. Nelson RA, Holzworth DP, Hammer GL, Hayman PT. 2002. Infusing the use of seasonal climate forecasting into crop management practice in North East Australia using discussion support software. Agricultural Systems 74: 393-414.
32. Orlandini S, Marta AD, Mancini M. 2006. The agroclimatic analysis at farm scale. Meteorological Applications (Suppl) 13: 87-93.
33. Pannell DJ, Malcolm B, Kingwell RS. 2000. Are we risking too much? Perspectives on risk in farm modelling. Agricultural Economics 23(1): 69-78.
34. Petersen E, Fraser R. 2001. An assessment of the value of seasonal forecasting technology for Western Australian farmers. Contributed paper, 45th Annual Conference of the Australian Agricultural and Resource Economics Society, Adelaide, January, 2001.
35. Phillips JG, Deane D, Unganai L, Chimeli A. 2002. Implications of farm-level response to seasonal climate forecasts for aggregate grain production in Zimbabwe. Agricultural Systems 74(3): 351-369.
36. Proust K, Dovers S, Foran B, Newell B, Steffen, W, Troy, P. 2007. Climate, Energy and Water: Accounting for the Links. Discussion Paper. Land & Water Australia, Canberra.
37. Robinson JB, Butler DG. 2002. An alternative method for assessing the value of the Southern Oscillation Index (SOI), including case studies of its value for crop management in the northern grainbelt of Australia. Australian Journal of Agricultural Research 53(4): 423-428.
38. Skees JR, Hazell P, Miranda M. 1999. New Approaches to Crop Yield Insurance in Developing Countries. EPTD Discussion Paper, International Food Policy Research Institute.
39. Stone CR, Meinke H. 2005. Operational seasonal forecasting of crop performance. Philosophical Transactions of the Royal Society of London, Series B 360: 2109-2124.
40. Tindall J. 2008. Managing the Weather. Actuary Australia 131: 12-15.
41. Wang G, Alves O, Hudson D, Hendon H, Liu G, Tseitkin F. 2008. SST Skill Assessment from the New POAMA-1.5 System. BMRC Research Letter No.8.
42. Ward FA, Booker JF, Michelsen AM. 2006. Integrated economic, hydrologic, and institutional analysis of policy responses to mitigate drought. Journal of Water Resources Planning and Management 132(7): 488-502.