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Grazing as a post-mining land use: A conceptual model of the risk factors

Author

Listed:
  • Maczkowiack, R.I.
  • Smith, C.S.
  • Slaughter, G.J.
  • Mulligan, D.R.
  • Cameron, D.C.

Abstract

Driven principally by government regulation and societal expectations, mining companies around the world are seeking to mitigate the environmental impacts of mining through mined land rehabilitation programs. The ultimate goal of rehabilitation is to establish an acceptable and sustainable post-mining land use. Mining companies worldwide face the challenge of specifying just what a sustainable post-mining land use will be. The problem is that while regulations require mining companies to assess post-mining land use sustainability, the mechanism for doing so and the factors that should be considered are not specified. We propose a risk-based approach to post-mining land use assessment with the aim of reducing the uncertainty of mine closure and the potential cost of repair of land degradation caused by inappropriate post-mining land use.

Suggested Citation

  • Maczkowiack, R.I. & Smith, C.S. & Slaughter, G.J. & Mulligan, D.R. & Cameron, D.C., 2012. "Grazing as a post-mining land use: A conceptual model of the risk factors," Agricultural Systems, Elsevier, vol. 109(C), pages 76-89.
  • Handle: RePEc:eee:agisys:v:109:y:2012:i:c:p:76-89
    DOI: 10.1016/j.agsy.2012.03.002
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    References listed on IDEAS

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    1. Costa, Fernando Paim & Rehman, Tahir, 2005. "Unravelling the rationale of `overgrazing' and stocking rates in the beef production systems of Central Brazil using a bi-criteria compromise programming model," Agricultural Systems, Elsevier, vol. 83(3), pages 277-295, March.
    2. Austin, E.J. & Willock, J. & Deary, I.J. & Gibson, G.J. & Dent, J.B. & Edwards-Jones, G. & Morgan, O. & Grieve, R. & Sutherland, A., 1998. "Empirical models of farmer behaviour using psychological, social and economic variables. Part II: nonlinear and expert modelling," Agricultural Systems, Elsevier, vol. 58(2), pages 225-241, October.
    3. Hounsome, Barry & Edwards, Rhiannon T. & Edwards-Jones, Gareth, 2006. "A note on the effect of farmer mental health on adoption: The case of agri-environment schemes," Agricultural Systems, Elsevier, vol. 91(3), pages 229-241, December.
    4. Ohlmer, Bo & Olson, Kent & Brehmer, Berndt, 1998. "Understanding farmers' decision making processes and improving managerial assistance," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 18(3), May.
    5. Austin, E.J & Willock, J & Deary, I.J & Gibson, G.J & Dent, J.B & Edwards-Jones, G & Morgan, O & Grieve, R & Sutherland, A, 1998. "Empirical models of farmer behaviour using psychological, social and economic variables. Part I: linear modelling," Agricultural Systems, Elsevier, vol. 58(2), pages 203-224, October.
    6. Maybery, Darryl & Crase, Lin & Gullifer, Chris, 2005. "Categorising farming values as economic, conservation and lifestyle," Journal of Economic Psychology, Elsevier, vol. 26(1), pages 59-72, February.
    7. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    8. Brodt, Sonja & Klonsky, Karen & Tourte, Laura, 2006. "Farmer goals and management styles: Implications for advancing biologically based agriculture," Agricultural Systems, Elsevier, vol. 89(1), pages 90-105, July.
    9. Ohlmer, Bo & Olson, Kent & Brehmer, Berndt, 1998. "Understanding farmers' decision making processes and improving managerial assistance," Agricultural Economics, Blackwell, vol. 18(3), pages 273-290, May.
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