Journal article
A Bayesian model of metapopulation viability, with application to an endangered amphibian
GW Heard, MA McCarthy, MP Scroggie, JB Baumgartner, KM Parris
Diversity and Distributions | Published : 2013
DOI: 10.1111/ddi.12052
Abstract
Aim: Population viability analysis (PVA) is used to quantify the risks faced by species under alternative management regimes. Bayesian PVAs allow uncertainty in the parameters of the underlying population model to be easily propagated through to the predictions. We developed a Bayesian stochastic patch occupancy model (SPOM) and used this model to assess the viability of a metapopulation of the growling grass frog (Litoria raniformis) under different urbanization scenarios. Location: Melbourne, Victoria, Australia. Methods: We fitted a Bayesian model that accounted for imperfect detection to a multiseason occupancy dataset for L. raniformis collected across northern Melbourne. The probabilit..
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Awarded by Australian Research Council
Funding Acknowledgements
Funding for this project was provided by the Victorian Department of Sustainability and Environment (DSE), the Australian Research Council Centre of Excellence for Environmental Decisions and an Australian Research Council Linkage Grant (LP0990161) with the Australian Research Centre for Urban Ecology, DSE, Growling Grass Frog Trust Fund, Melbourne Museum, Melbourne Water and Parks Victoria. MM was supported by an Australian Research Council Future Fellowship. We thank Adam Muir and Kim Lowe (DSE) for their support for the project. Stefano Canessa (University of Melbourne) provided coding advice and assistance. Charles Todd (DSE) and two anonymous referees offered useful critiques of an earlier version.