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Systems framework for regional-scale integrated modelling and assessment

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  • Greiner, R

Abstract

Computer-based methods of integrated modelling and assessment provide an important means for reviewing policy choices in natural resource management (NRM). Research in support of NRM needs to address a wide range of issues involved, from point-scale biophysical, to business-scale human, to regional-scale planning issues. Research covering the full scope of such issues is by default multi-disciplinary and integrative and therefore analytically, methodologically and operationally challenging. The recently initiated Ord–Bonaparte Program is an example of a research and development program attempting to achieve both levels of integration in an applied NRM context. One key requirement for the success of the program lies in developing a systems framework that: (i) enables the integration of the various disciplinary research activities; and (ii) facilitates the implementation of research outputs by making integrated science relevant to decision-makers and translating new knowledge into outcomes for sustainable regional development. This paper proposes an approaches for such a systems framework.

Suggested Citation

  • Greiner, R, 2004. "Systems framework for regional-scale integrated modelling and assessment," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(1), pages 41-51.
    • Handle: RePEc:eee:matcom:v:64:y:2004:i:1:p:41-51
    DOI: 10.1016/S0378-4754(03)00119-8
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    References listed on IDEAS

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    1. Jackson, Mike C., 2001. "Critical systems thinking and practice," European Journal of Operational Research, Elsevier, vol. 128(2), pages 233-244, January.
    2. Geurts, Jac. L. A. & Joldersma, Cisca, 2001. "Methodology for participatory policy analysis," European Journal of Operational Research, Elsevier, vol. 128(2), pages 300-310, January.
    3. Martin, Adrienne & Sherington, John, 1997. "Participatory research methods--Implementation, effectiveness and institutional context," Agricultural Systems, Elsevier, vol. 55(2), pages 195-216, October.
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    Cited by:

    1. Caroline Sullivan & Jeremy Meigh, 2007. "Integration of the biophysical and social sciences using an indicator approach: Addressing water problems at different scales," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(1), pages 111-128, January.
    2. Mora, Juan & Mora-López, Llanos, 2010. "Comparing distributions with bootstrap techniques: An application to global solar radiation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(4), pages 811-819.
    3. Parneet Paul & Ameena Kulaib Al Tenaiji & Nuhu Braimah, 2016. "A Review of the Water and Energy Sectors and the Use of a Nexus Approach in Abu Dhabi," IJERPH, MDPI, vol. 13(4), pages 1-15, March.

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