Innovation, Queensland, Research and Development

Non-invasive monitoring of endangered wildlife possible with new eDNA collection tools

The airborne DNA device hanging in a eucalyptus tree. It collects the eDNA of endangered wildlife species.

New technology designed by the University of Queensland can collect airborne environmental
DNA (eDNA), which is shed by organisms into their surroundings, allowing for easier detection of endangered wildlife in their natural habitats.

This represents a big breakthrough in terms of current wildlife conservation efforts, making it possible to detect and monitor multiple wildlife species at a low cost.

The initial research was conducted in the Redlands local government area, which is home to a koala population.

According to associate professor Celine Frere (School of the Environment), this method of DNA collection is “non-invasive and scalable,” in addition to being more efficient and cost-effective than current wildlife conservation technology.

“Current methods of tracking wildlife populations, such as thermal drones, detection dogs, and camera traps, are critical for conservation, but are often costly and labour-intensive,” Frere said.

“This technology can significantly improve the detection and tracking of endangered species, aiding in conservation efforts and the development of effective management strategies.”

Their collection tools consist of air filtering sample collection systems equipped with sterilised cheesecloth, which allows for easy air circulation and collecting of air particles. The collected samples are then analysed with advanced genetic techniques to determine the species present in the area.

While eDNA has successfully been utilised for decades in aquatic environments, its application on land is still relatively new.

The researchers will be further modifying and improving the eDNA technology in order to maximise its benefits. They also plan on creating toolkits for other endangered species such as gliders.

Dr Frere concluded: “By comparing our study with conventional survey methods, we can understand what the trade-offs are to design the most powerful, efficient, and cost-effective solution possible.”

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