A Bayesian framework for metapopulation dynamics of species in endangered communities: integrating demographic, environmental and genetic data.

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Biodiversity conservation is a spatial and temporal problem. Populations change in time, constrained by the structure and spatial division of their habitat. This study will develop a tool that can be used to assess the influence of environmental fluctuations and landscape heterogeneity on the persistence of endemic species in the mound springs of the Great Artesian Basin. Using a Bayesian framework to integrate data from diverse sources, we will develop models for the biodiversity impacts of groundwater withdrawal and climate change in central Australia. These tools are essential for management of this ecosystem, which has been listed as an 'endangered community' under the Environmental Protection and Biodiversity Conservation Act of 1999.