Woodland Birdsong Monitoring
Transforming bird audio recordings into insights about woodland bird diversity and habitat condition
This project, led by the University of New England and Charles Sturt University, aims to develop an automated, user-friendly approach for remotely monitoring woodland bird communities through a recogniser set called the Bush Bird Classifier (BBC).
By strengthening the link between technology and on-ground land management, this project aims to make bird monitoring more accessible, more accurate and more widely used – painting a clearer picture of woodland health. The aim is to help researchers, land managers, ecological consultants and conservation organisations convert audio recordings into a transparent snapshot of avian community health, without requiring specialist bioacoustic training or routine expert verification of every recording.
By strengthening the link between technology and on-ground land management, this project aims to make bird monitoring more accessible, more accurate and more widely used – painting a clearer picture of woodland health. The aim is to help researchers, land managers, ecological consultants and conservation organisations convert audio recordings into a transparent snapshot of avian community health, without requiring specialist bioacoustic training or routine expert verification of every recording.
Why It Matters
Woodland birds are important indicators of ecosystem condition.
- By detecting both diurnal and nocturnal species, automated acoustic monitoring can support more consistent, repeatable and scalable biodiversity assessment across large areas and over time.
- The tool being developed through this project will enable users to compare sites, track changes through time, assess management outcomes and make better use of both new and historic recordings.
PROJECT PILLARS
Background
Our role – a Tasmanian focus
Our team has been collecting acoustic recordings and conducting on-ground surveys to better represent Tasmania’s distinctive bird communities and vocalisations. This includes collecting and tagging additional recordings from under-represented species, Tasmanian endemic species, and widely distributed species that may have regional vocal differences, such as the Striated Pardalote.
With support from the Wedgetail Foundation and site access through the Tasmanian Land Conservancy and other landholders, the team (Alice Grieve, Ramit Singal, Erin Harris and Catherine Young) conducted 74 survey sets across 27 sites, including wet forest and dry forest locations across Tasmania. Sites included Tasmanian Land Conservancy reserves such as Brown Mountain, Five Rivers and Tinderbox, as well as Sustainable Timber Tasmania land and Land for Wildlife properties. At each site, acoustic recordings were paired with on-ground bird surveys. These paired surveys help validate the recognisers and support the development of a community health score that reflects the species detected at each site.
Partners and Funding
The project brings together a team across four states. It was supported through a federal government grant under the Innovative Biodiversity Monitoring Program, with additional funding from the Wedgetail Foundation to strengthen the Tasmanian component.
Project Team
Prof. Paul McDonald, University of New England
Prof. David Watson, Charles Sturt University
Dr Daniella Teixeira, Queensland University of Technology
Dr Courtney Melton, Bush Heritage Australia
Dr Catherine Young and Alice Grieve, NRM South
Prof. Martine Maron, University of Queensland
Prof. Paul Roe and Dr Lance De Vine, Queensland University of Technology
Vicky Austin, University of New England
Using the Tool
The recogniser is intended to be made available as an open tool and work is now shifting towards making the tool easier to access and use. The recogniser can currently be run locally, with reports generated using R scripts to analyse results and produce standardised outputs. The project team is discussing options with the Australian Research Data Commons, EcoSounds and the Open EcoAcoustics project team to host the tool and audio collections through a more integrated platform. Further investment is needed to build a simple front end that allows users to upload audio, run analyses and incorporate outputs into their projects.
Get involved
Interested stakeholders can register for future training workshops and updates at Get involved in the Bush Bird Classifier project – Gulbali Institute.





