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The Application Of Simulation Techniques To The Study Of Grazing Systems

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  • Wright, A.
  • Dent, J. Barry

Abstract

Decision making studies in agriculture are often made difficult by the complex and dynamic nature of bio-economic systems. Simulation is one of the newer systems research techniques which as yet has had limited use in farm management research. This paper discusses some methodological aspects of simulation with specific reference to grazing systems. Problems arising in the development and use of simulation models are discussed and the need for inter-disciplinary co-operation to overcome data problems is indicated. One approach to experimentation is illustrated by reference to a model of a sheep grazing system and the problem of cropping for winter grazing. It is concluded that simulation is a potentially useful technique for management-oriented systems research in agriculture.

Suggested Citation

  • Wright, A. & Dent, J. Barry, 1969. "The Application Of Simulation Techniques To The Study Of Grazing Systems," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 13(2), pages 1-10, December.
    • Handle: RePEc:ags:ajaeau:23006
    DOI: 10.22004/ag.econ.23006
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    References listed on IDEAS

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    2. J.C. Flinn & Warren F. Musgrave, 1967. "Development And Analysis Of Input‐Output Relations For Irrigation Water," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 11(1), pages 1-19, June.
    3. Kalman J. Cohen & Richard M. Cyert, 1961. "Computer Models in Dynamic Economics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 75(1), pages 112-127.
    4. Pinhas Zusman & Amotz Amiad, 1965. "Simulation: A Tool for Farm Planning under Conditions of Weather Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 47(3), pages 574-594.
    5. R. W. Conway & B. M. Johnson & W. L. Maxwell, 1959. "Some Problems of Digital Systems Simulation," Management Science, INFORMS, vol. 6(1), pages 92-110, October.
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    Cited by:

    1. MacAulay, T. G., 1972. "Simulation as an Aid to Decision Making," Working Papers 244697, University of Guelph, Department of Food, Agricultural and Resource Economics.
    2. Clark, John & Kumar, Santosh, 1978. "Planning Beef Production: An Application of Dynamic Programming," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 46(03), pages 1-12, December.
    3. Norton, George W., 1976. "Constraints To Increasing Livestock Production In Less Developed Countries: A Literature Review," Staff Papers 14043, University of Minnesota, Department of Applied Economics.
    4. Wang, Yuhui & Zhou, Guangsheng & Jia, Bingrui, 2008. "Modeling SOC and NPP responses of meadow steppe to different grazing intensities in Northeast China," Ecological Modelling, Elsevier, vol. 217(1), pages 72-78.

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