Counting Africa's largest bat colony
Artificial intelligence and computer vision provide most accurate
estimate yet

Date:
July 3, 2023
Source:
Max-Planck-Gesellschaft
Summary:
Artificial intelligence and computer vision provide most accurate
estimate yet.


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FULL STORY ==========================================================================
Once a year, a small forest in Zambia becomes the site of one of the
world's greatest natural spectacles. In November, straw-colored fruit
bats migrate from across the African continent to a patch of trees in
Kasanka National Park. For reasons not yet known, the bats converge for
three months in a small area of the park, forming the largest colony of
bats anywhere in Africa. The exact number of bats in this colony, however,
has never been known. Estimates range anywhere from 1 to 10 million. A new method developed by the Max Planck Institute of Animal Behavior (MPI-AB)
has counted the colony with the greatest accuracy yet. The method uses
GoPro cameras to record bats and then applies artificial intelligence
(AI) to detect animals without the need for human observers. The method, published in the journal Ecosphere, produced an overall estimate of
between 750,000 and 1,000,000 bats in Kasanka -- making the colony the
largest for bats by biomass anywhere in the world.

"We've shown that cheap cameras, combined with AI, can be used to monitor
large animal populations in ways that would otherwise be impossible," says
Ben Koger who is first author on the paper. "This approach will change
what we know about the natural world and how we work to maintain it in
the face of rapid human development and climate change." Africa's secret gardeners Even amongst the charismatic fauna of the African continent,
the straw-colored fruit bat shines bright. By some estimates, it's
the most abundant mammal anywhere on the continent. And, by traveling
up to two thousand kilometers every year, it's also the most extreme long-distance migrant of any flying fox.

From an environmental perspective, these merits matter a lot. By
dispersing seeds as they fly over vast distances, the fruit bats are
cardinal reforesters of degraded land -- making them a "keystone"
species on the African continent.

Scientists have long sought to estimate colony sizes of this important
species, but the challenges of manually counting very large populations
have led to widely fluctuating numbers. That's always frustrated Dina
Dechmann, a biologist from the MPI-AB, who has studied straw-colored
fruit bats for over 10 years.

Concerned that she has witnessed a decline in numbers of these fruit bats
over her career, Dechmann wanted a tool that could accurately reveal if populations were changing. That is, she needed a way of counting bats
that was reproducible and comparable across time.

"Straw-colored fruit bats are the secret gardeners of Africa," says
Dechmann.

"They connect the continent in ways that no other seed disperser does. A
loss of the species would be devastating for the ecosystem. So, if the population is decreasing at all, we urgently need to know." Dechmann
began talking to longtime collaborators Roland Kays from NC State
University and Teague O'Mara from Southeastern Louisiana University,
as well as Kasanka Trust, the Zambian conservation organization
responsible for managing Kasanka National Park and protecting its colony
of bats. Together, they wondered if advances in computer vision and
artificial intelligence could improve the accuracy and efficiency of
counting large and complex bat populations. To find out, they approached
Ben Koger, then a doctoral student at the MPI-AB, who was an expert in
using automated approaches to create ecological datasets.

Accurate and comparable bat counts Koger worked to devise a method that
could be used by scientists and conservation managers to efficiently
quantify the complex system. His method comprised two main steps. First,
nine GoPro cameras were set up evenly around the colony to record the
bats as they left the roost at dusk. Second, Koger trained deep learning
models to automatically detect and count bats in the videos. To test the method's accuracy, the team manually counted bats in a sample of clips and found the AI was 95% accurate -- it even worked well in dark conditions.

"Using more sophisticated technology to monitor a colony as giant as
Kasanka's could be prohibitively expensive because you'd need so much equipment," says Koger. "But we could show that cheap cameras paired with
our custom software algorithms did very well at detecting and counting
bats at our study site. This is hugely important for monitoring the
site in the future." Recording bats over five nights, the new method
counted an average of between around 750,000 and 1,000,000 animals per
night. This result falls below previous counts at Kasanka, and the authors state that the study might not have caught the peak of bat migration,
and some animals might have arrived after the count period. Even so,
the study's estimate makes Kasanka's colony the heaviest congregation
of bats anywhere in the world.

Says Dechmann: "This is a game-changer for counting and conserving large populations of animals. Now, we have an efficient and reproducible way of monitoring animals over time. If we use this same method to census animals every year, we can actually say if the population is going up or down."
For the Kasanka colony, which is facing threats from agriculture and constriction, Dechmann says that the need for accurate monitoring has
never been more urgent than now.

"It's easy to assume that losing a few animals here and there from large populations won't make a dent. But if we are to maintain the ecosystem
services provided by these animals, we need to maintain their populations
at meaningful levels. The Kasanka colony isn't just one of many; it's
a sink colony of bats from across the subcontinent. Losing this colony
would be devastating for Africa as a whole."
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Story Source: Materials provided by Max-Planck-Gesellschaft. Note:
Content may be edited for style and length.


========================================================================== Journal Reference:
1. Benjamin Koger, Edward Hurme, Blair R. Costelloe, M. Teague O'Mara,
Martin Wikelski, Roland Kays, Dina K. N. Dechmann. An automated
approach for counting groups of flying animals applied to one of
the world's largest bat colonies. Ecosphere, 2023; 14 (6) DOI:
10.1002/ecs2.4590 ==========================================================================

Link to news story: https://www.sciencedaily.com/releases/2023/07/230703133110.htm

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