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Integration modelling and decision support: A case study of the Coastal Lake Assessment and Management (CLAM) Tool

Author

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  • Ticehurst, Jenifer L.
  • Letcher, Rebecca A.
  • Rissik, David

Abstract

Decision Support Tools (DSTs) are designed to assist in making more informed management decisions, through prediction of the outcomes from various future scenarios and as an education resource. The many coastal lakes in New South Wales, Australia are areas where DSTs are able to assist in making management and planning decisions. A variety of economic, ecological and social demands on the lakes and their catchment's finite resources are increasing conflict over their use and sustainable management. The issues are intricately linked, so that understanding trade-offs and making management decisions about coastal lakes and their catchments requires knowledge of the processes and interactions between all key components of the system. This is a complex problem requiring the integration of, often minimal, information, from various disciplines.

Suggested Citation

  • Ticehurst, Jenifer L. & Letcher, Rebecca A. & Rissik, David, 2008. "Integration modelling and decision support: A case study of the Coastal Lake Assessment and Management (CLAM) Tool," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 435-449.
    • Handle: RePEc:eee:matcom:v:78:y:2008:i:2:p:435-449
    DOI: 10.1016/j.matcom.2008.01.024
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    Citations

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    Cited by:

    1. Williams, B.J. & Cole, B., 2013. "Mining monitored data for decision-making with a Bayesian network model," Ecological Modelling, Elsevier, vol. 249(C), pages 26-36.
    2. Martine J. Barons & Lael E. Walsh & Edward E. Salakpi & Linda Nichols, 2024. "A Decision Support System for Sustainable Agriculture and Food Loss Reduction under Uncertain Agricultural Policy Frameworks," Agriculture, MDPI, vol. 14(3), pages 1-21, March.
    3. Kragt, Marit Ellen & Bennett, Jeffrey W., 2009. "Integrating economic values and catchment modelling," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 48057, Australian Agricultural and Resource Economics Society.
    4. Jose-Luis Molina & Raziyeh Farmani & John Bromley, 2011. "Aquifers Management through Evolutionary Bayesian Networks: The Altiplano Case Study (SE Spain)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(14), pages 3883-3909, November.
    5. Kragt, Marit Ellen, 2013. "Integrating biophysical and economic systems in a Bayesian Network Hydro-economic framework," Working Papers 153334, University of Western Australia, School of Agricultural and Resource Economics.

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