Bayesian belief networks: applications in ecology and natural resource management

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Working conditions, psychological/physical symptoms and occupational accidents. Bayesian network models (2012, methodology): “It has been used in several knowledge areas, such as medicine (Antal et al., 2004), ecology and natural resources management (Borsuk et al., 2004; McCann et al., 2006), geology (Rivas et al., 2007), lifecycle engineering (Zhu and Deshmukh, 2003), software engineering (Fenton et al., 2007), and…”
Benthos distribution modelling and its relevance for marine ecosystem management (2015, methodology): “quantities derived from expert knowledge (McCann et al., 2006).”
Inferring Missing Climate Data for Agricultural Planning Using Bayesian Networks (2018, background): “For this reason, expert knowledge remains the best option for discretization [14,47,50].”
A review of Bayesian belief networks in ecosystem service modelling (2013, background): “Fuzzy logic and decision trees are models with lower complexity levels compared to BBNs. Decision trees are restricted to using input from expert knowledge and have limited flexibility in model development (Debeljak and Dzeroski, 2011; McCann et al., 2006).”