Appendix A. Conditional probability tables for response nodes in the Bayesian belief network (BBN).

Conditional probability tables for response nodes in the Bayesian belief network (BBN)

Appendix B. Case file used to test BBN.

Case file used to test BBN

Projected species distributions (at a cut-off threshold of 0.5) for (a) <i>Hypseleotris klunzingeri</i> and (b) <i>Melanotaenia duboulayi</i>.

<p>Green stream segments are predicted presences; grey segments are predicted absences. The circles are sites that were sampled in autumn/winter 2013 (i.e. the training and space datasets; n = 128). Red circles are observed presences, open circles are observed absences. ENS–Single species ensemble model; DFA–RIVPACS community model using a discriminant function classifier; RF–RIVPACS model using a random forest classifier; MANN–Multi-species response artificial neural network model; MARS–Multi-species response multivariate adaptive regression splines model.</p

Reference site locations for each dataset used, and major river systems in the study area.

<p>The river disturbance index (RDI–see [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0146728#pone.0146728.ref047" target="_blank">47</a>] for details of its derivation) provides context for the ‘least disturbed’ reference sites; low RDI values indicate low levels of human pressures in the upstream catchment. Note that the season dataset is represented by all ‘training’ sites in the SEQ section of the study area.</p

Appendix B. Seasonal score model-averaged coefficients, standard errors, and inclusion probabilities.

Seasonal score model-averaged coefficients, standard errors, and inclusion probabilities

Appendix A. Bayesian model-averaging approach and stochastic model search.

Bayesian model-averaging approach and stochastic model search