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

濒危群落物种复合种群动态的贝叶斯框架：整合人口、环境和遗传数据。

• 批准号: LP0560890
• 负责人: Prof Hugh Possingham
• 金额: $ 22.83万
• 依托单位: The University of Queensland
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2005
• 资助国家: 澳大利亚
• 起止时间: 2005-06-30 至 2008-08-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP0560890
• 关键词: Bayesian; framework; metapopulation; dynamics; species

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.

生物多样性保护是一个时空问题。种群随时间变化，受其栖息地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的影响，对当地特有物种的持久性在土墩泉的大Arabian盆地。使用贝叶斯框架整合来自不同来源的数据，我们将开发模型的地下水抽取和气候变化在澳大利亚中部的生物多样性的影响。 这些工具对于管理这一生态系统至关重要，根据1999年的《环境保护和生物多样性保护法》，这一生态系统已被列为“濒危社区”。