Author:
Muller Chris G.,Chilvers B. Louise,Barker Zane,Barnsdale Kelvin P.,Battley Phil F.,French Rebecca K.,McCullough Josh,Samandari Fred
Abstract
Context
Locating cryptic animals is an important aspect of many wildlife management programs and research studies. However, this process can be inefficient, time-consuming and expensive. Unmanned aerial vehicles (UAVs), unmanned aircraft systems (UASs) or drones fitted with a camera are increasingly being used for counting and monitoring wildlife; however, these are often not suitable for cryptic species. Very high-frequency (VHF) radio-tracking is commonplace; however, single-channel VHF receivers mean that animals must be tracked individually, or scanning receivers must be used; but this raises the possibility of signals being missed.
Aims
We aimed to test the effectiveness of aerial VHF tracking using a multi-channel receiver for locating wildlife.
Methods
We tracked wildlife fitted with VHF transmitters operating on individual frequencies, by means of a UAV with a multi-channel VHF receiver to simultaneously monitor all frequencies. This offered distinct advantages over traditional single-channel scanning receivers. To test and compare this novel method, yellow-eyed penguins (Megadyptes antipodes) were located on nests hidden under vegetation on Enderby Island in the New Zealand subantarctic, using manual ground searching, unassisted ground VHF tracking, as well as using location flights by the UAV Drone Ranger system.
Key results
The UAV system allowed for faster nest location than did all other methods, with a higher cumulative success (number of nests found each day) and lower search effort required (person hours per nest).
Conclusions
Aerial VHF tracking can greatly extend the search range and minimise search effort compared with ground VHF tracking or manual searching.
Implications
This technology has applications for locating and tracking a wide range of wildlife, particularly cryptic species that may be difficult to find using other methods.
Subject
Management, Monitoring, Policy and Law,Ecology, Evolution, Behavior and Systematics
Cited by
21 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献