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

生物多样性保护是一个时空问题。种群在时间上变化，受其栖息地的结构和空间划分的限制。这项研究将开发一种工具，可用于评估环境波动和景观异质性对大自流盆地丘泉特有物种持久性的影响。使用贝叶斯框架整合来自不同来源的数据，我们将开发澳大利亚中部地下水开采和气候变化对生物多样性影响的模型。这些工具对于管理这一生态系统是必不可少的，根据1999年的《环境保护和生物多样性保护法》，该生态系统已被列为“濒危社区”。

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.