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Migratory bats tracked for the first time ever using new algorithm

Migratory bats tracked for the first time ever using new algorithm
Greater mouse tailed bat- a major migrant in Israel. Credit: Jens Rydell

For the first time ever, researchers can track the movements of bats with the help of a brand new algorithm utilizing radar technology, created by the University of Haifa and Tel Aviv University.

A new study, published in Methods in Ecology and Evolution, reveals that migrate across the globe just like birds. However, their are vastly different.

Thanks to a , now available to researchers worldwide, we can now monitor the movement of bats in the vicinity of wind turbines. In turn, this will allow for the development of new methods for protecting bats—who currently die at a rate of up to ten times that of birds due to lack of available data surrounding their flight patterns.

Ph.D. student and lead author of the study Yuval Werber explained, "The use of wind turbines is increasing worldwide. Their ability to operate in an environmentally friendly way depends on their impact on winged creatures."

Until now, a surrounding the movements of bats near turbines has led to a lack of effective methods for lowering their .

"People around the world can now track and monitor bat movements, thus saving many of them," continued Werber.

In recent years, the use of to research airborne species has become increasingly common. Radar provides data on size, flight speed, body structure and pattern of wing flapping for flying animals. This data enables researchers to examine basic ecological issues at unprecedented scales. Data vital for infrastructure and development projects can now be provided to avoid interference with wildlife flight paths.

Migratory bats tracked for the first time ever using new algorithm
A snapshot of the radar's screen. Red words are insect detections and green words are birds or bats. Credit: Yuval Werber

What stopped radars from tracking bats before now?

In order to develop an capable of identifying bats, there is a need for human observation. Since bats mainly fly at night and at , it has been impossible to collect verified data about them. Without data, nobody could develop an algorithm capable of bat identification.

As radars are often part of preliminary ecological surveys before major construction projects, many structures have been built without taking bats into account.

So how did the researchers get around this issue? Using a network of bird radars across Israel, researchers identified a particular two-week period in June where there was no nighttime activity from migrating birds across the Hula Valley region in Israel. By process of elimination, any observation during this period that is not an insect is likely a bat.

These bat observations were isolated according to activity times, the biomechanics of their wing movement, and the size of the creature. Then, by using the database from the already established bird radars, the researchers created an algorithm capable of distinguishing birds from bats.

Validation tests for the algorithm showed an accuracy of over 90%. "Thanks to the algorithm, we now have a unique global database of 60,000 bat observations," noted the team.

How does the new algorithm aid bat conservation efforts?

With the help of the remarkable database, it is now certain that bat migration shows distinct differences from bird migration. Bats begin to migrate later than birds in both migration seasons. They also migrate at a much lower height (200-600 meters), compared to birds (between 100-1000 meters).

"Millions of bats die each year due to the operation of wind turbines. Unfortunately, even non-polluting can have serious ecological ramifications," said Werber. "The use of our algorithm worldwide will facilitate study of the environmental factors affecting bats. We can further our knowledge of their behavior, and the possible impact of climate changes on numerous bat populations across the globe."

More information: Yuval Werber et al, BATScan: A radar classification tool reveals large‐scale bat migration patterns, Methods in Ecology and Evolution (2023). DOI: 10.1111/2041-210X.14125

Journal information: Methods in Ecology and Evolution

Citation: Migratory bats tracked for the first time ever using new algorithm (2023, May 31) retrieved 2 October 2023 from
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