A review of Bayesian belief networks in ecosystem service modelling

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Phylogeography unplugged: comparative surveys in the genomic era (2014, background): “The advantage of a BBN is that uncertainties as well as expert opinions can be incorporated, while the strength of the causal relations between the networks variables can be quantified through conditional probabilities (Landuyt et al. 2013).”
‘The Matrix Reloaded': A review of expert knowledge use for mapping ecosystem services (2015, background): “The participative construction of such models could provide a go-between to bridge the gap between natural and social scientists, but also to realize inclusive and transparent ES-model development (see Landuyt et al., 2013 for an elaborated SWOT of Bayesian models for ES research).”
Advances in Bayesian network modelling: Integration of modelling technologies (2019, background): “BN modeling is useful for data mining, determining and explicitly displaying the relationship among variables, representing expert knowledge and combining expert knowledge and empirical data, and identifying key uncertainties (Cheon et al., 2009; Hanea et al., 2010; Landuyt et al., 2013).”