Journal article
Population viability analysis using Bayesian networks
TD Penman, SC McColl-Gausden, BG Marcot, DA Ababei
Environmental Modelling and Software | ELSEVIER SCI LTD | Published : 2022
Abstract
Traditional population viability analysis (PVA) does not address the degree of measurement error or spatial and temporal variability of vital rate parameters, potentially leading to inappropriate conservation decision-making. We provide a methodology of applying Bayesian network (BN) modeling to PVA addressing these considerations, particularly for species with complex stage-class structures. We provide examples of three species from eastern Australia - hip pocket frog (Assa darilingtoni), squirrel glider (Petaurus norfolcensis) and giant burrowing frog (Heleioporus australiacus), comparing traditional matrix-based PVA with BN model analyses of mean stage abundance, quasi-extinction probabil..
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Funding Acknowledgements
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. DA salary is provided by a grant from the Victorian Department of Environment, Land, Water and Planning. SMG is supported by an Australian Federal Government Research Training Program scholarship through the University of Melbourne. BGM acknowledges support from U.S. Forest Service, Pacific Northwest Research Station. Mention of commercial products does not necessarily constitute endorsement by the U.S. Forest Service and U.S. federal government.