Using performance to predict the survival of threatened mammals

该项目旨在使用一种新的机械方法来量化猫和野狗的表现如何与栖息地的复杂性相互作用，以推动猎物物种的种群损失--即障碍物和避难所的密度如何有助于猎物逃脱。预期的结果包括发现岩石和稀树草原的栖息地结构如何影响被猫和野狗猎杀的受威胁哺乳动物的生存。它将提供一个全球可定制的模式，并向管理层通报一个重要的土著保护区。

This project aims to use a new mechanistic approach to quantify how the performance of cats and dingoes interacts with habitat complexity to drive population loss of prey species—namely, how the density of obstacles and refuges contributes to prey escape. Expected outcomes include discovering how rocky and savanna habitat structure affect the survival of threatened mammals hunted by cats and dingoes. It will provide a globally customisable model, and inform management of an important Indigenous Protected Area.