Future distribution of cotton and wheat in Australia under potential climate change

Journal of Agricultural Science

Volumn 154, Issue 2, 2016, Pages 175-185

  Shabani, F ^a   Kotey, B ^a  

^a UNIVERSITY OF NEW ENGLAND   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE CHANGE; CLIMATE MODELING; COTTON; CROP PRODUCTION; ECONOMIC ANALYSIS; EMISSION; FUTURE PROSPECT; GLOBAL CLIMATE; SOFTWARE; WHEAT;

AUSTRALIA;

GOSSYPIUM; GOSSYPIUM HIRSUTUM; TRITICUM AESTIVUM;

EID: 84957429842     PISSN: 00218596     EISSN: 14695146     Source Type: Journal    
DOI: 10.1017/S0021859615000398     Document Type: Article

References (45)

1. Adams R. M., Hurd B. H., Lenhart S., & Leary N. (1998). Effects of global climate change on agriculture: an interpretative review. Climate Research 11, 19-30
2. Australian Bureau of Agricultural and Resource Economics (ABARES) (2011). Agricultural Commodity Statistics. Canberra, Australia: Department of Agricultural Fisheries and Forestry, Australian Government Available online from: http://www.agriculture.gov.au/abares/publications/display? url=http://143.188.17.20/anrdl/DAFFService/display.php? fid=pe-agcstd9abcc002201121d.xml (accessed March 2015
3. Beaumont L. J., Hughes L., & Poulsen M. (2005). Predicting species distributions: use of climatic parameters in BIOCLIM and its impact on predictions of species' current and future distributions. Ecological Modelling 186, 251-270
4. Beddow J. M., Hurley T. M., Kriticos D. J., & Pardey P.G. (2013). Measuring the Global Occurrence and Probabilistic Consequences of Wheat Stem Rust. Harvest Choice Technical Note. Washington D.C.: Harvest Choice
5. Brklacich M., & Stewart R. B. (1995). Impacts of climate change on wheat yield in the Canadian prairies. In Climate Change and Agriculture: Analysis of Potential International Impacts (Eds C. Rosenzweig L. H. Allen L. A. Harper S. E. Hollinger, & J.W. Jones), pp. 147-162
6. Asa Special Publication 59. Madison, WI: ASA. CABI. (2015). CAB Direct. Wallingford, UK: CABI. Available online from: http://www.cabdirect.org/web/about.html (accessed January 2015
7. Cothren J. (1999). Physiology of the cotton plant. In Cotton: Origin, History, Technology, and Production (Eds C. W. Smith, & J. T. Cothren), pp. 207-268. New York: John Wiley, & SONS, Inc
8. Cotton Australia. (2014). The Australian Cotton Industry. Fact Sheet. Sydney: Cotton Australia. Available online from: http://cottonaustralia.com.au/cotton-library/fact-sheets/cotton-fact-file-the-australian-cotton-industry (accessed January 2015
9. Deschênes O., & Greenstone M. (2007). The economic impacts of climate change: evidence from agricultural output and random fluctuations in weather. The American Economic Review 97, 354-385
10. Elith J., & Leathwick J. R. (2009). Species distribution models: ecological explanation and prediction across space and time. Annual Review of Ecology, Evolution, and Systematics 40, 677-697
11. Feddes R. A., Kowalik P. J., & Zaradny H. (1978). Simulation of Field Water Use and Crop Yield. Wageningen: Centre for Agricultural Publishing and Documentation
12. Global Biodiversity Information Facility. (2015). Global Biodiversity Information Facility. Copenhagen: GBIF. Available online from: http://www.gbif.org/(accessed January 2015
13. Hearn A. B. (1994). OZCOT: a simulation model for cotton crop management. Agricultural Systems 44, 257-299
14. Hennessy K., Colman R., Watterson I., & Jones R. (2007). Global climate change projections. In Climate Change in Australia-Technical Report 2007 (Eds K. Pearce P. Holper M. Hopkins W. Bouma P. Whetton K. Hennessy, & S. Power), pp. 36-48. Clayton, South Victoria, Australia: CSIRO
15. Howden S.M., & Jones R. N. (2001). Costs and Benefits of CO2 Increase and Climate Change on the Australian Wheat Industry. Canberra, Australia: Australian Greenhouse Office
16. Ipcc. (2007). Climate Change 2007: Synthesis Report. Summary for Policymakers. Geneva, Switzerland: IPCC
17. Kriticos D.J., & Randall R. P. (2001). A comparison of systems to analyze potential weed distributions. In Weed Risk Assessment (Eds R. H. Groves F. D. Panetta, & J. G. Virtue), pp. 61-79. Collingwood, Australia: CSIRO Publishing
18. Kriticos D. J., Potter K. J. B., Alexander N. S., Gibb A.R., & Suckling D.M. (2007). Using a pheromone lure survey to establish the native and potential distribution of an invasive Lepidopteran. Journal of Applied Ecology 44, 853-863
19. Kriticos D. J., Webber B. L., Leriche A., Ota N., Macadam I., Bathols J., & Scott J. K. (2012). CliMond: global highresolution historical and future scenario climate surfaces for bioclimatic modelling. Methods in Ecology and Evolution 3, 53-64
20. Luo Q., Williams M. A. J., Bellotti W., & Bryan B. (2003). Quantitative and visual assessments of climate change impacts on South Australian wheat production. Agricultural Systems 77, 173-186
21. Manning M. R., Edmonds J., Emori S., Grubler A., Hibbard K., Joos F., Kainuma M., Keeling R. F., Kram T., Manning A. C., Meinshausen M., Moss R., Nakicenovic N., Riahi K., Rose, S K., Smith S., Swart R., & Van VUUREN D. P. (2010). Misrepresentation of the IPCC CO2 emission scenarios. Nature Geoscience 3, 376-377
22. Masutomi Y., Takahashi K., Harasawa H., & Matsuoka Y. (2009). Impact assessment of climate change on rice production in Asia in comprehensive consideration of process/parameter uncertainty in general circulation models. Agriculture, Ecosystems, & Environment 131, 281-291
23. Mearns L.O. (1995). Research issues in determining the effects of changing climate variability on crop yields. In Climate Change and Agriculture: Analysis of Potential International Impacts (Eds C. Rosenzweig), pp. 123-143. Madison, WI: ASA
24. Morton J. F. (2007). The impact of climate change on smallholder and subsistence agriculture. Proceedings of the National Academy of Sciences of the United States of America 104, 19680-19685
25. Nakicenovic N., & Swart R. (2000). Emissions Scenarios: a Special Report of Working Group III of the Intergovernmental Panel on Climate Change. Cambridge, UK: Cambridge University Press
26. Ortiz R., Sayre K. D., Govaerts B., Gupta R., Subbarao G. V., Ban T., Hodson D., Dixon J. M., Ortiz-Monasterio J. I., & Reynolds M. (2008). Climate change: Can wheat beat the heat? Agriculture, Ecosystems, & Environment 126, 46-58
27. Pearson R. G., Thuiller W., Araújo M. B., Martinezmeyer E., Brotons L., Mcclean C., Miles L., Segurado P., Dawson T.P., & Lees D. C. (2006). Modelbased uncertainty in species range prediction. Journal of Biogeography 33, 1704-1711
28. Rahmstorf S., Cazenave A., Church J. A., Hansen J. E., Keeling R. F., Parker D.E., & Somerville R. C. J. (2007). Recent climate observations compared to projections. Science 316, 709
29. Reddy K. R., Hodges H. F., & Mckinion J.M. (1997). A comparison of scenarios for the effect of global climate change on cotton growth and yield. Australian Journal of Plant Physiology 24, 707-713
30. Reynolds M. P., Ortiz-Monasterio J. I., & Mcnab A. (2001). Application of Physiology in Wheat Breeding. Mexico D. F.: CIMMYT
31. Rogers D. J., Reid R. E., Rogers J. J., & Addison S. J. (2007). Prediction of the naturalisation potential and weediness risk of transgenic cotton in Australia. Agriculture, Ecosystems, & Environment 119, 177-189
32. Shabani F., & Kumar L. (2013). Risk levels of invasive Fusarium oxysporum f. sp. in areas suitable for date palm (Phoenix dactylifera) cultivation under various climate change projections. PLoS ONE 8, e83404. doi: 10.1371/journal.pone.0083404
33. Shabani F., & Kumar L. (2014). Sensitivity analysis of CLIMEX parameters in modeling potential distribution of Phoenix dactylifera L. PLoS ONE 9, e94867. doi: 10.1371/journal. pone.0094867
34. Shabani F., Kumar L., & Taylor S. (2012). Climate change impacts on the future distribution of date palms: a modeling exercise using CLIMEX. PLoS ONE 7, e48021. doi: 10.1371/journal.pone.0048021
35. Shabani F., Kumar L., & Esmaeili, A. (2014a). Future distributions of Fusarium oxysporum f. spp. in European, Middle Eastern and North African agricultural regions under climate change. Agriculture, Ecosystems and Environment 197, 96-105
36. Shabani F., Kumar L., & Taylor S. (2014b). Distribution of date palms in the middle east based on future climate scenarios. Experimental Agriculture 51, 244-263
37. Shabani F., Kumar L., & Taylor S. (2014c). Projecting date palm distribution in Iran under climate change using topography, physicochemical soil properties, soil taxonomy, land use and climate data. Theoretical and Applied Climatology 118, 553-567
38. Shabani F., Kumar L., & Taylor S. (2014d). Suitable regions for date palm cultivation in Iran are predicted to increase substantially under future climate change scenarios. Journal of Agricultural Science, Cambridge 152, 543-557
39. Song Y.-L., Zhang Q., & Dong W.-J. (2004). Impact of climate change on cotton production in Xingjiang Autonomous Region. Chinese Journal of Agrometeorology 3, 15-20
40. Stern N. H. (2006). The Economics of Climate Change: The Stern Review. Cambridge, UK: Cambridge University Press
41. Sutherst R., & Floyd R. B. (1999). Impacts of global change on pests, diseases and weeds in Australian temperate forests. In Impacts of Global Change on Australian Temperate Forests (Eds S. M. Howden, & J. T. Gorman), pp. 94-98. Working Paper Series 99/08. Canberra: CSIRO Wildlife and Ecology. Available online from: http://www.cse.csiro.au/publications/1999/temperateforests-99-08.pdf (accessed March 2015
42. Sutherst R. W., Maywald G., & Kriticos D. J. (2007). CLIMEX Version 3: User's Guide. South Yarra, Australia: Hearne Scientific Software
43. Townsend PETERSON A., Papeş, M., & Eaton M. (2007). Transferability and model evaluation in ecological niche modeling: a comparison of GARP and Maxent. Ecography 30, 550-560
44. Wall G. W., Amthor J. S., & Kimball B. A. (1994). COTCO2: a cotton growth simulation model for global change. Agricultural and Forest Meteorology 70, 289-342
45. Webber B. L., Yates C. J., Le MAITRE D. C., Scott J. K., Kriticos D. J., Ota N., Mcneill A., Le ROUX J., & Midgley G. (2011). Modelling horses for novel climate courses: insights from projecting potential distributions of native and alien Australian acacias with correlative and mechanistic models. Diversity and Distributions 17, 978-1000