Not difficult, just different, is how one author Bayesian Network models (BNs) to researchers that are unfamiliar with and often intimidated by them. A special series in the January 2021 issue aims to dispel the esoteric aura that surrounds this approach by showing how BNs have already improved ecological risk assessments in the past 20 years, with the goal of encouraging more practitioners to employ BNs to continue evolving the practice of ERA and environmental management. Guest Editor Jannicke Moe talks to us about advantages of BNs, recent developments, and highlights the research presented in the series—10 articles demonstrating the application of BNs to various environmental assessment and management scenarios involving climate change, ecological and socioeconomic endpoints, machine learning, diagnostic inference, and model evaluation. Access the series “Applications of Bayesian Networks for Environmental Risk Assessment and Management” in the January 2021 issue of IEAM.
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