Model development of a Bayesian Belief Network for managing inundation events for wetland fish

L. Vilizzi, A. Price, L. Beesley, B. Gawne, A.J. King, J.D. Koehn, S.N. Meredith, D.L. Nielsen

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Wetlands are essential components of floodplain-river ecosystems that often suffer degradation due to river regulation. To this end, the application of environmental water is increasingly being seen as an important amelioration strategy. However, decisions regarding the delivery of water to maximise environmental benefits, including native fish population health, are complex and difficult. This paper describes the development of a Bayesian Belief Network (BBN) model as part of a Decision Support Tool for assessing inundation strategies to benefit native wetland fish. Separate, albeit closely related, BBNs were developed for three native (golden perch Macquaria ambigua, carp gudgeon Hypseleotris spp., Australian smelt Retropinna semoni) and one alien fish species (common carp Cyprinus carpio carpio). The model structure was based on a conceptualisation of the relationships between wetland habitats, hydrology and fish responses, with emphasis on the types of inundation activities undertaken by managers. Conditional probability tables for fish responses were constructed from expert opinion and the model was validated against field data. The predictive ability and sensitivity of the model reflected the inherent high variability in relationships between wetland characteristics, hydrology and fish responses, but was nonetheless able to address satisfactorily such complexities within a holistic framework. As the model was designed in conjunction with managers and evaluated by them, its application will be enhanced by on-going engagement between managers and scientists. © 2012 Elsevier Ltd.
Original languageEnglish
Pages (from-to)1-14
Number of pages14
JournalEnvironmental Modelling and Software
Volume41
DOIs
Publication statusPublished - 2013
Externally publishedYes

Fingerprint

Bayesian networks
Wetlands
Fish
wetland
fish
Managers
Hydrology
hydrology
Rivers
Model structures
river
Ecosystems
development model
floodplain
Water
remediation
Health
Degradation
water
degradation

Cite this

Vilizzi, L. ; Price, A. ; Beesley, L. ; Gawne, B. ; King, A.J. ; Koehn, J.D. ; Meredith, S.N. ; Nielsen, D.L. / Model development of a Bayesian Belief Network for managing inundation events for wetland fish. In: Environmental Modelling and Software. 2013 ; Vol. 41. pp. 1-14.
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Vilizzi, L, Price, A, Beesley, L, Gawne, B, King, AJ, Koehn, JD, Meredith, SN & Nielsen, DL 2013, 'Model development of a Bayesian Belief Network for managing inundation events for wetland fish', Environmental Modelling and Software, vol. 41, pp. 1-14. https://doi.org/10.1016/j.envsoft.2012.11.004

Model development of a Bayesian Belief Network for managing inundation events for wetland fish. / Vilizzi, L.; Price, A.; Beesley, L.; Gawne, B.; King, A.J.; Koehn, J.D.; Meredith, S.N.; Nielsen, D.L.

In: Environmental Modelling and Software, Vol. 41, 2013, p. 1-14.

Research output: Contribution to journalArticle

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