Coupled Bayesian networks and recursive partitioning method for wetland ecological modelling
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Bayesian Networks (BNs) are increasingly recognised as a useful tool for ecological modelling due to their ability to incorporate a broad range of data types and explicit representation of uncertainty through the use of probabilities. They allow considerable flexibility with respect to the detail and focus of the models allowing conceptually simple habitat condition models or more complex mechanistic representation of ecological response. However, BN outputs are sensitive to the model structure, particularly the selection and linking of variables and how the states are defined for each variable. In this paper, we use recursive partitioning to inform the configuration of the structure of BNs, used for ecological response modelling.
MODSIM2011, 19th International Congress on Modelling and Simulation
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