A bayesian belief network decision support tool for watering wetlands to maximise native fish outcomes

Ben Gawne, Amina Price, John D. Koehn, Alison. J. King, Daryl L. Nielsen, S. Meredith, Leah Beesley, L. Vilizzi

    Research output: Contribution to journalArticle

    18 Citations (Scopus)

    Abstract

    Wetlands are productive and diverse habitats for native fish but can be highly degraded, particularly in the Murray-Darling Basin (MDB), south-eastern Australia. Wetland management requires tools and processes that facilitate the synthesis and application of knowledge for decisions concerning the allocation of environmental water to wetlands to improve environmental outcomes. This paper describes the development of a Decision Support Tool (DST), based on a Bayesian Network designed to provide the best available science and support adaptive management of environmental flows into wetlands. The DST predicts the probability of improvements in fish population health as defined by abundance, population structure and fish condition for introduced common carp and three native species of fish: carp gudgeon, Australian smelt, and golden perch. Model sensitivity and validation showed that fish response varied depending on model inputs, but that responses from the DST were an accurate reflection of fish responses in wetlands based on field data. Ultimately, the success of this DST is dependent on its adoption by wetland managers. Throughout the entire development process, adoption of the DST has been promoted through engagement with managers and subsequently, through initiatives to integrate it into current management initiatives. © Society of Wetland Scientists 2011.
    Original languageEnglish
    Pages (from-to)277-287
    Number of pages11
    JournalWetlands
    Volume32
    Issue number2
    DOIs
    Publication statusPublished - 2012

    Fingerprint

    Bayesian networks
    Wetlands
    Fish
    wetland
    fish
    Managers
    wetland management
    adaptive management
    native species
    population structure
    decision
    Health
    habitat
    Water
    basin

    Cite this

    Gawne, B., Price, A., Koehn, J. D., King, A. J., Nielsen, D. L., Meredith, S., ... Vilizzi, L. (2012). A bayesian belief network decision support tool for watering wetlands to maximise native fish outcomes. Wetlands, 32(2), 277-287. https://doi.org/10.1007/s13157-011-0255-7
    Gawne, Ben ; Price, Amina ; Koehn, John D. ; King, Alison. J. ; Nielsen, Daryl L. ; Meredith, S. ; Beesley, Leah ; Vilizzi, L. / A bayesian belief network decision support tool for watering wetlands to maximise native fish outcomes. In: Wetlands. 2012 ; Vol. 32, No. 2. pp. 277-287.
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    abstract = "Wetlands are productive and diverse habitats for native fish but can be highly degraded, particularly in the Murray-Darling Basin (MDB), south-eastern Australia. Wetland management requires tools and processes that facilitate the synthesis and application of knowledge for decisions concerning the allocation of environmental water to wetlands to improve environmental outcomes. This paper describes the development of a Decision Support Tool (DST), based on a Bayesian Network designed to provide the best available science and support adaptive management of environmental flows into wetlands. The DST predicts the probability of improvements in fish population health as defined by abundance, population structure and fish condition for introduced common carp and three native species of fish: carp gudgeon, Australian smelt, and golden perch. Model sensitivity and validation showed that fish response varied depending on model inputs, but that responses from the DST were an accurate reflection of fish responses in wetlands based on field data. Ultimately, the success of this DST is dependent on its adoption by wetland managers. Throughout the entire development process, adoption of the DST has been promoted through engagement with managers and subsequently, through initiatives to integrate it into current management initiatives. {\circledC} Society of Wetland Scientists 2011.",
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    Gawne, B, Price, A, Koehn, JD, King, AJ, Nielsen, DL, Meredith, S, Beesley, L & Vilizzi, L 2012, 'A bayesian belief network decision support tool for watering wetlands to maximise native fish outcomes', Wetlands, vol. 32, no. 2, pp. 277-287. https://doi.org/10.1007/s13157-011-0255-7

    A bayesian belief network decision support tool for watering wetlands to maximise native fish outcomes. / Gawne, Ben; Price, Amina; Koehn, John D.; King, Alison. J.; Nielsen, Daryl L.; Meredith, S.; Beesley, Leah; Vilizzi, L.

    In: Wetlands, Vol. 32, No. 2, 2012, p. 277-287.

    Research output: Contribution to journalArticle

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