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Quantifying the response of cotton production in eastern Australia to climate change

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Abstract

The paper evaluates the effect of future climate change (as per the CSIRO Mk3.5 A1FI future climate projection) on cotton yield in Southern Queensland and Northern NSW, eastern Australia by using of the biophysical simulation model APSIM (Agricultural Production Systems sIMulator). The simulations of cotton production show that changes in the influential meteorological parameters caused by climate change would lead to decreased future cotton yields without the effect of CO2 fertilisation. By 2050 the yields would decrease by 17 %. Including the effects of CO2 fertilisation ameliorates the effect of decreased water availability and yields increase by 5.9 % by 2030, but then decrease by 3.6 % in 2050. Importantly, it was necessary to increase irrigation amounts by almost 50 % to maintain adequate soil moisture levels. The effect of CO2 was found to have an important positive impact of the yield in spite of deleterious climate change. This implies that the physiological response of plants to climate change needs to be thoroughly understood to avoid making erroneous projections of yield and potentially stifling investment or increasing risk.

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References

  • ABARE (2012) Agricultural commodities: March quarter. Australian Bureau of Agricultural and Resource Economics

  • Ainsworth EA, Long SP (2005) What have we learned from 15 years of free‐air CO2 enrichment (FACE)? A meta‐analytic review of the responses of photosynthesis, canopy properties and plant production to rising CO2. New Phytol 165(2):351–372

    Article  Google Scholar 

  • Attavanich W, McCarl B (2014) How is CO2 affecting yields and technological progress? A statistical analysis. Clim Chang 124:747–762

    Article  Google Scholar 

  • Bange M (2007) Effects of climate change on cotton growth and development. Aust Cottongrower 28(3):41

    Google Scholar 

  • Bange M, Constable G (2008) Cotton farming systems for a changing climate. In: Proceedings of the 14th Australian Cotton Conference, 2008. pp 12–14

  • Bange M, Milroy S (2004) Impact of short-term exposure to cold night temperatures on early development of cotton (Gossypium hirsutum L.). Crop Pasture Sci 55(6):655–664

    Article  Google Scholar 

  • Bange M, Constable G, McRae D, Roth G (2010) Cotton. In: Stokes C, M Howden M (eds) Adapting agriculture to climate change: preparing Australian agriculture, forestry and fisheries for the future’. CSIRO Publishing, Melbourne, pp 49–66

    Google Scholar 

  • Boothe KJ, Jones JW, White JW, Asseng S, Lizaso JI (2013) Putting mechanisms into crop production models. Plant Cell Environ 36(9):1658–1672

    Article  Google Scholar 

  • Burgess S, Ricketts J, Panjkov A, Carter J, Day K (2012) Consistent climate scenarios project user guide: ‘change factor’ and ‘Quantile-matching’ based climate projections data

  • Cox H, Rodriguez D, deVoil P, Power B (2011) Modelling adaptation options for a Western Queensland mixed grain and graze farm–evaluating enterprise options under climate change. In: 5th World Congress on Conservation Agriculture and Farming Systems Design, 2011. Australian Centre for International Agricultural Research, pp 1–4

  • Delgrosso S, Mosier A, Parton W, Ojima D (2005) DAYCENT model analysis of past and contemporary soil NO and net greenhouse gas flux for major crops in the USA. Soil Tillage Res 83:9–24

    Article  Google Scholar 

  • Fuss S, Canadell JG, Peters GP et al (2014) Betting on negative emissions. Nat Clim Chang 4:850–853

    Article  Google Scholar 

  • Garnaut R (2008) The Garnaut climate change review. Glob Environ Chang 13:1–5

    Google Scholar 

  • Garnaut R (2011) The Garnaut review 2011: Australia in the global response to climate change. Cambridge University Press, New York

  • Gerardeaux E, Sultan B, Palai O et al (2013) Positive effect of climate change on cotton in 2050 by CO2 enrichment and conservation agriculture in Cameroon. Agron Sustain Dev 33:485–495

    Article  Google Scholar 

  • Gifford RM (2004) The CO2 fertilising effect - does it occur in the real world? New Phytol 163(2):221–225

    Article  Google Scholar 

  • Hearn AB (1994) OZCOT: a simulation model for cotton crop management. Agric Syst 44:257–299

    Article  Google Scholar 

  • Hearn A, Constable G (1984) Irrigation for crops in a sub-humid environment VII. Evaluation of irrigation strategies for cotton. Irrig Sci 5(2):75–94

    Article  Google Scholar 

  • Heberger M (2011) Australia’s millennium drought: impacts and responses. In The World’s Water (pp. 97–125). Island Press/Center for Resource Economics

  • IPCC (2014) In: Field CB, Barros VR, Dokken DJ, Mach KJ, Mastrandrea MD, Bilir TE, Chatterjee M, Ebi KL, Estrada YO, Genova RC, Girma B, Kissel ES, Levy AN, MacCracken S, Mastrandrea PR, White LL (eds) Climate change 2014: impacts, adaptation, and vulnerability. Part A: global and sectoral aspects. contribution of working group ii to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, 1132

    Google Scholar 

  • Jeffrey SJ, Carter JO, Moodie KB, Beswick AR (2001) Using spatial interpolation to construct a comprehensive archive of Australian climate data. Environ Model Softw 16(4):309–330

    Article  Google Scholar 

  • Jones GV, Webb LB (2010) Climate change, viticulture, and wine: challenges and opportunities. J Wine Res 21(2–3):103–106

    Article  Google Scholar 

  • Jones JW, Hoogenboom G, Porter CH et al (2003) The DSSAT cropping system model. Crop Sci 18:235–265

    Google Scholar 

  • Karl TR, Melillo JM, Peterson TC (2009) Global climate change impacts in the United States. Cambridge University Press, New York

    Google Scholar 

  • Keating BA, Carberry PS, Hammer GL et al (2003) An overview of APSIM, a model designed for farming systems simulation. Eur J Agron 18(3):267–288

    Article  Google Scholar 

  • Kirby M, Bark R, Connor J, Qureshi ME, Keyworth S (2014) Sustainable irrigation: how did irrigated agriculture in Australia’s Murray–Darling Basin adapt in the Millennium Drought?. Agricultural Water Management

  • Lee J, De Gryze S, Six J (2011) Effect of climate change on field crop production in California’s Central Valley. Clim Chang 109:335–353

    Article  Google Scholar 

  • Long SP, Ainsworth EA, Rogers A, Ort DR (2004) Rising atmospheric carbon dioxide: plants FACE the future. Annu Rev Plant Biol 55:591–628

    Article  Google Scholar 

  • Luo Q (2011) Temperature thresholds and crop production: a review. Clim Chang 109:583–598

    Article  Google Scholar 

  • Luo Q, Bange M, Clancy L (2014) Cotton crop phenology in a new temperature regime. Ecol Model 285:22–29

    Article  Google Scholar 

  • Mauney JR, Kimball BA, Pinter PJ Jr et al (1994) Growth and yield of cotton in response to a free-air carbon dioxide enrichment (FACE) environment. Agric For Meteorol 70(19):49–67

    Article  Google Scholar 

  • McRae D, Roth G, Bange M (2007) Climate change in cotton catchment communities a Scoping Study. Cotton Catchment Communities CRC

  • Mitchell TD (2003) Pattern scaling: an examination of the accuracy of the technique for describing future climates. Clim Chang 60(3):217–242

    Article  Google Scholar 

  • Moore AD, Ghahramani A (2013) Climate change and broadacre livestock production across southern Australia. 1. Impacts of climate change on pasture and livestock productivity, and on sustainable levels of profitability. Glob Chang Biol 19(5):1440–1455

    Article  Google Scholar 

  • Murray Darling Basin Authority (2010) Guide to the proposed Basin Plan. Murray-Darling Basin Authority

  • Nakicenovic N, Swat R (2000) Special report on emissions scenarios. Cambridge University Press, Cambridge, p 612

    Google Scholar 

  • Page CM, Jones RN (2001) OzClim: the development of a climate scenario generator for Australia, In: Proceedings of MODSIM 2001: International Congress on Modelling and Simulation, pp 667–671

  • Park S (2008) A review of climate change impact and adaptation assessments on the Australian sugarcane industry. Proc Aust Soc Sugar Cane Technol 2008:1–9

    Google Scholar 

  • Pinter PJ Jr, Kimball BA, Mauncy JR et al (1994) Effects of free-air carbon dioxide enrichment on PAR absorption and conversion efficiency by cotton. Agric For Meteorol 70(1):209–230

    Article  Google Scholar 

  • Potgieter A, Meinke H, Doherty A et al (2013) Spatial impact of projected changes in rainfall and temperature on wheat yields in Australia. Clim Chang 117(1–2):163–179

    Article  Google Scholar 

  • Quiggin J, Adamson D, Chambers S, Schrobback P (2010) Climate change, uncertainty, and adaptation: the case of irrigated agriculture in the Murray–Darling Basin in Australia. Can J Agric Econ/Rev Can d’agroeconomie 58(4):531–554

    Article  Google Scholar 

  • Reddy K, Hodges H, McKinion J (1995) Carbon dioxide and temperature effects on pima cotton growth. Agric Ecosyst Environ 54(1):17–29

    Google Scholar 

  • Reddy K, Hodges H, McKinion J (1996) Can cotton crops be sustained in future climates? In: Beltwide Cotton Conferences (USA), 1996

  • Reddy KR, Hodges HF, Kimball BA (2000) Crop ecosystem responses to global climate change: cotton. In: Reddy KR, Hodges HF (eds) Climate change and global crop productivity. CAB International, Wallingford, pp 162–187

    Google Scholar 

  • Ricketts JH (2009). OzClim for the MTSRF region. 18th World IMACS/MODSIM Congress, Cairns, Australia 13–17 July 2009

  • Schlenker W, Roberts MJ (2009) Nonlinear temperature effects indicate severe damages to US crop yields under climate change. Proc Natl Acad Sci 106(37):15594–15598

    Article  Google Scholar 

  • Smith I, Chandler E (2010) Refining rainfall projections for the Murray Darling Basin of south-east Australia—the effect of sampling model results based on performance. Clim Chang 102(3–4):377–393

    Article  Google Scholar 

  • Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt K, Tignor M, Miller HL (2007) IPCC, 2007: climate change 2007: the physical science basis. Contribution of Working Group I to the fourth assessment report of the Intergovernmental Panel on Climate Change. SD Solomon (Ed)

  • Stokes C, Howden M (2010) Adapting agriculture to climate change: preparing Australian agriculture, forestry and fisheries for the future. CSIRO PUBLISHING, Melbourne

    Google Scholar 

  • Stubbs J (2010). Stubbs report 4: exploring the relationship between community resilience and irrigated agriculture in the MDB: social and economic impacts of reduced irrigation water

  • Suppiah R, Hennessy KJ, Whetton PH et al (2007) Australian climate change projections derived from simulations performed for the IPCC 4th Assessment Report. Aust Meteorol Mag 56(3):131–152

    Google Scholar 

  • Watterson IG (2012) Understanding and partitioning future climates for Australian regions from CMIP3 using ocean warming indices. Clim Chang 111:903–922

    Article  Google Scholar 

  • Whetton P, Katzfey J, Hennessy K et al (2001) Developing scenarios of climate change for southeastern Australia: an example using regional climate model output. Clim Res 16(3):181–201

    Article  Google Scholar 

  • Whetton P, McInnes K, Jones R, Hennessy K, Suppiah R, Page C, Bathols J, Durack P (2005) Climate change projections for Australia for impact assessment and policy application: A review. CSIRO Technical Paper

  • Yang Y, Yang Y, Han S, Macadam I, Liu DL (2014) Prediction of cotton yield and water demand under climate change and future adaptation measures. Agric Water Manag 144:42–53

    Article  Google Scholar 

Download references

Acknowledgments

This study was part of a larger unpublished study by White N, Mushtaq S, Cockfield G, Power B in 2012 “Relocation of intensive agriculture to northern Queensland: the cotton industry”. The climate change data was sourced from the Queensland Government SILO database (http://www.longpaddock.qld.gov.au/silo). The SILO database, previously operated by QCCCE, is now operated by DSITIA.

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Correspondence to Allyson Williams.

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Williams, A., White, N., Mushtaq, S. et al. Quantifying the response of cotton production in eastern Australia to climate change. Climatic Change 129, 183–196 (2015). https://doi.org/10.1007/s10584-014-1305-y

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  • DOI: https://doi.org/10.1007/s10584-014-1305-y

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