Journal article

Bayesian decision network modeling for environmental risk management: A wildfire case study

Trent D Penman, Brett Cirulis, Bruce G Marcot

Journal of Environmental Management | ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD | Published : 2020

Abstract

Environmental decision-making requires an understanding of complex interacting systems across scales of space and time. A range of statistical methods, evaluation frameworks and modeling approaches have been applied for conducting structured environmental decision-making under uncertainty. Bayesian Decision Networks (BDNs) are a useful construct for addressing uncertainties in environmental decision-making. In this paper, we apply a BDN to decisions regarding fire management to evaluate the general efficacy and utility of the approach in resource and environmental decision-making. The study was undertaken in south-eastern Australia to examine decisions about prescribed burning rates and loca..

View full abstract

University of Melbourne Researchers

Grants

Funding Acknowledgements

Funding for B. Cirulis was from the Bushfire and Natural Hazards Cooperative Research Centre, Australia. Mention of commercial products does not necessarily constitute endorsement by U.S. Forest Service. Support for B. Marcot was provided by the Pacific North West Research Station, U.S. Forest Service and The University of Melbourne, Australia. We thank Annemarie Christophersen and Sandra Johnson for their comments on a draft of this manuscript.