Using drones to monitor rainforest biodiversity

July 25, 2023

Over 24 hours, the ETH BiodivX team's drone scanned the rainforest 41 times, collecting 50 samples of environmental DNA (eDNA). Using drones, the ETH BiodivX team collected three different types of eDNA samples: water, air, and surface samples. During their deployment in the rainforest, these autonomous devices recorded a total of 130 gigabytes of video and audio data. Zoo Zurich: the ideal practice environmentThe hot and humid conditions in the rainforest pose a significant challenge for the electronics used. Fortunately, the Masoala Rainforest in Zoo Zurich provided the ideal practice conditions.

The semi-final challenge

Each team had 72 hours in total to complete their task: 24 hours to collect samples and 48 hours to analyze the findings and compile a report. The challenge was to identify as many species of plants and animals as possible across an area of 100 hectares without actually setting foot in the jungle.

Over 24 hours, the ETH BiodivX team's drone scanned the rainforest 41 times, collecting 50 samples of environmental DNA (eDNA). These are DNA traces that living beings leave behind in their habitat – through excretions or the loss of skin and hair particles, for example. By collecting eDNA, the presence of different species in a given area can be detected. Using drones, the ETH BiodivX team collected three different types of eDNA samples: water, air, and surface samples. To collect the surface samples, the researchers developed a probe that could take swabs from a wide variety of surfaces. This was attached to a drone and could be lowered deep into the rainforest by a winch. “This technique allows us to sample environmental DNA from inside the tree canopy, which would otherwise be impossible to access,” explains ETH Professor Stefano Mintchev, a member of the ETH BiodivX team.

A rover and a drone, developed by researchers from the University of Aarhus and TU-Delft, were also used during the semi-finals. During their deployment in the rainforest, these autonomous devices recorded a total of 130 gigabytes of video and audio data. Citizen scientists and AI algorithms, co-led and deployed by Zurich-based non-profit organization GainForest, monitored their activities via a live stream and identified additional species.

Overall, more than 12 million DNA sequences were produced, and the team was able to detect a total of 257 plant and animal species. The findings were then compiled in a report numbering more than 70 pages.

Zoo Zurich: the ideal practice environment

The hot and humid conditions in the rainforest pose a significant challenge for the electronics used. Moreover, sampling techniques also had to be practiced before the researchers set off for Singapore. Fortunately, the Masoala Rainforest in Zoo Zurich provided the ideal practice conditions. “Alongside our mission to educate, conserve nature and protect endangered species, one of the four core tasks of a modern zoo is research. Our collaboration with ETH Zurich is a great example of how the Masoala Rainforest can be used for testing and optimizing research methods before deployment in the field,” explains Dr Leyla Davis, Research Curator at Zoo Zurich.

The source of this news is from ETH Zurich

Popular in Research

1

Sep 4, 2023

New MSc programme in Quantum Information Science takes off

2

1 week ago

Smart pill can track key biological markers in real-time

3

1 week ago

Many people have biased perceptions of EDI leaders: study

4

1 week ago

UNSW Professor Megan Davis named on the 2023 TIME100 Next List

5

5 days ago

Brain inspires more robust AI

New path facilitates campus access for students

Feb 2, 2023

Australians under increasing financial stress

Jan 2, 2023