New statistical approaches for analysing foodwebs and species distributions

分析食物网和物种分布的新统计方法

• 批准号: DP150102472
• 负责人: Prof Lewi Stone
• 金额: $ 20.41万
• 依托单位: RMIT University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2015
• 资助国家: 澳大利亚
• 起止时间: 2015-05-12 至 2020-10-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP150102472
• 关键词: New; statistical; approaches; analysing; foodwebs

Identifying how species are distributed over the landscape, interact and self-organise into foodwebs are central goals in Ecology. This project aims to provide innovative new Bayesian modelling tools to improve our understanding of species distributions and their foodweb networks. It is expected to develop a general framework for extending species distribution models to deal with multiple species, incorporating both their interactions as well as errors in detection. The project also hopes to develop a robust Bayesian methodology for partitioning complex foodweb networks into ecologically relevant compartments as there are currently no reliable methods to achieve this. Both projects are of relevance to conservation policy and management of threatened species.

确定物种如何在景观中分布，相互作用和自我组织成食物网是生态学的核心目标。该项目旨在提供创新的贝叶斯建模工具，以提高我们对物种分布及其食物网网络的理解。预计将开发一个通用的框架，扩展物种分布模型，以处理多个物种，将它们的相互作用以及检测错误。该项目还希望开发一种强大的贝叶斯方法，将复杂的食物网网络划分为生态相关的分区，因为目前还没有可靠的方法来实现这一目标。这两个项目都与受威胁物种的保护政策和管理有关。