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Risk matrix approach useful in adapting agriculture to climate change

Author

Listed:
  • David H. Cobon

    (University of Southern Queensland)

  • Allyson A. J. Williams

    (University of Southern Queensland)

  • Brendan Power

    (CSIRO)

  • David McRae

    (University of Southern Queensland)

  • Peter Davis

    (University of Southern Queensland)

Abstract

A risk management approach to assessing climate change impacts was completed for grazing, wheat and sorghum production systems in eastern Australia. This ‘risk matrix’ approach for wheat and sorghum was compared to results from simulation modelling of the impacts of projected climate change from general circulation models (GCM’s). In the modelling we used five GCM’s, the A1FI emissions scenario and a baseline climate (historical, 1960–2010); both the ‘risk matrix’ approach and modelling used a time horizon of 2030. While some people find the risk matrix process a highly effective tool for assessing climate change impacts others question its utility without the support of quantitative data such as that produced from integrated climate and agricultural models. Here we show the impacts of climate change on wheat and sorghum production systems using both approaches, and also show the risk, adaptation responses and vulnerability of all three production systems using the ‘risk matrix’ approach. Advantages and disadvantages of each approach are identified. The independent assessment showed the two approaches produced similar results. The ‘risk matrix’ showed little overall impact, risk or vulnerability for the central slopes from climate change using the adaptation strategies currently available for yield, protein levels, pests and disease, weeds and soil condition. The simulation modelling showed no statistically significant impact on yield, drainage, erosion and runoff, although more high-end extremes were evident. The risks to 2030 from anthropogenic climate change can largely be managed by continuing to implement best management practice and managing the risks already posed by climate variability. The ‘risk matrix’ approach was a useful tool under these circumstances to assess the impacts, adaptation, risk and vulnerability of climate change in the absence of local modelling information, and demonstrates the power of expert opinion to help understand and respond to climate change at the regional scale.

Suggested Citation

  • David H. Cobon & Allyson A. J. Williams & Brendan Power & David McRae & Peter Davis, 2016. "Risk matrix approach useful in adapting agriculture to climate change," Climatic Change, Springer, vol. 138(1), pages 173-189, September.
    • Handle: RePEc:spr:climat:v:138:y:2016:i:1:d:10.1007_s10584-016-1732-z
    DOI: 10.1007/s10584-016-1732-z
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    References listed on IDEAS

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    1. A. Potgieter & H. Meinke & A. Doherty & V. Sadras & G. Hammer & S. Crimp & D. Rodriguez, 2013. "Spatial impact of projected changes in rainfall and temperature on wheat yields in Australia," Climatic Change, Springer, vol. 117(1), pages 163-179, March.
    2. Senthold Asseng & David Pannell, 2013. "Adapting dryland agriculture to climate change: Farming implications and research and development needs in Western Australia," Climatic Change, Springer, vol. 118(2), pages 167-181, May.
    3. Luo, Qunying & Williams, Martin A. J. & Bellotti, William & Bryan, Brett, 2003. "Quantitative and visual assessments of climate change impacts on South Australian wheat production," Agricultural Systems, Elsevier, vol. 77(3), pages 173-186, September.
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    1. Theodoros Katopodis & Emmanuel D. Adamides & Athanasios Sfetsos & Antonios Mountouris, 2021. "Incorporating Future Climate Scenarios in Oil Industry’s Risk Assessment: A Greek Refinery Case Study," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
    2. Mariusz Adynkiewicz-Piragas & Bartłomiej Miszuk, 2020. "Risk Analysis Related to Impact of Climate Change on Water Resources and Hydropower Production in the Lusatian Neisse River Basin," Sustainability, MDPI, vol. 12(12), pages 1-23, June.

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