Feral cat GPS tracking and simulation models to improve the conservation management of night parrots
Stephen A. Murphy A B * , Hugh McGregor
A C , Nicholas P. Leseberg A B , James Watson A B and Alex S. Kutt C D
+ Author Affiliations
- Author Affiliations
A Threatened Species Recovery Hub, National Environmental Science Program, University of Queensland, St Lucia, Qld 4067, Australia.
B School of Earth and Environmental Science, University of Queensland, St Lucia, Qld 4067, Australia.
C School of Natural Sciences, University of Tasmania, Hobart, Tas. 7005, Australia.
D School of Ecosystem and Forest Science, The University of Melbourne, Parkville, Vic. 3010, Australia.
Wildlife Research 50(5) 325-334 https://doi.org/10.1071/WR21123
Submitted: 23 August 2021 Accepted: 21 June 2022 Published: 13 July 2022
© 2023 The Author(s) (or their employer(s)). Published by CSIRO Publishing. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)
Abstract
Context: Night parrots (Pezoporus occidentalis) are one of Australia’s most endangered birds, and there is evidence suggesting feral cats (Felis catus) are a major cause of decline. However, because night parrots currently have a restricted distribution, little is known of the ecology of feral cats around their remaining populations. This limits the development of effective management strategies.
Aims: The aims of this study were to understand feral cat movement and habitat selection around night parrots, and to then estimate the effectiveness of possible management actions.
Methods: Research was conducted around the only confirmed night parrot population in eastern Australia. In 2019 and 2020, we obtained GPS data from nine feral cats, and used step selection functions to assess preferred habitats. Management options were then simulated based on cat movement data, including altering trap numbers and layout, and changing routes for night spotlight shooting (using existing roads, random walking or creating new roads in preferred habitats).
Key results: Feral cats preferred alluvial and riparian habitats and avoided rocky woodlands and roads. Simulated control efforts were more successful if traps are placed at ‘pinch points’ where drainage lines converged, and if new roads were created near to creek lines and alluvial habitats.
Conclusions: Feral cats move around the last known population of night parrots in eastern Australia, travelling through and using many shared habitats. Targeting creek lines and alluvial areas in cat control operations would improve effectiveness and potentially reduce predation impacts on night parrots.
Implications: Conservation of endangered birds like night parrots can be enhanced through understanding the ecology of threats such as feral cats to develop locally tailored control operations.
Keywords: adaptive management, applied ecology, endangered species, feral cats, invasive species, night parrots, simulation models, wildlife tracking.
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