There are billions of people on Earth – and more than half of them live in urban spaces.
Our movements, behaviors, and activities impact our environment and the other species that share that environment. Some species have adapted to live alongside of us while others have adapted ways to avoid us.
A group of animals we often see in urban spaces are bats, but we don’t think of them as often since our encounters are usually limited to watching them erratically fly in the night sky. The bats in our area are insectivores, consuming thousands of insects as they fly around.
Some bat species have adapted to live in urban spaces, roosting in buildings or under bridges. Last year, researchers at the University of North Carolina at Greensboro (UNCG) and the Greensboro Science Center (GSC) took a deeper look into the bat-human interaction by asking whether we could detect a change in bat activity in response to human activity.
UNCG is just blocks away from downtown Greensboro where human activity tends to increase on weekends due to social activities including attending sporting events, visiting bars and restaurants, and shopping.
The GSC is located among parks and rural neighborhoods where the weekends are a bit quieter.
Humans are noisy, messy, and more prominent downtown on the weekends, but does bat activity respond to that?
UNCG and the GSC host continuously-recording bat detectors on their respective campuses. Detectors record the ultrasonic sounds bats produce when they are navigating the night sky and foraging for prey. Each bat species produces calls that are slightly different. While we can’t actually hear bats because their calls are well above the auditory range, we can record these really high frequency sounds.
Using software, we can then view the sounds as a wave file and listen to the sounds at a lower frequency and slowed down. Since each species is a little different, we can also determine what species of bats are in our skies.
After looking through around 180,000 calls, we did see a pattern of activity that showed bats were more active at UNCG on weekdays than weekends. And the opposite was true at the GSC, where bats were more active on the weekends than weekdays.
Then 2020 came along and the world was introduced to the SARS virus COVID-19.
A great many terrible outcomes have surfaced as the virus made its way around the globe. Humans all over the earth were suddenly facing an invisible, deadly, and prolific enemy. COVID-19 impacted our world, our economy, our culture, and us as individuals.
While we are living through the daily challenges of COVID-19, it can be hard to step back and look at the virus’s impact on the ecosystem, but that is exactly what researchers are doing.
As the virus infiltrated the USA, North Carolina entered into a stay-at-home order from March 30 – April 29, 2020. Very suddenly and dramatically, human social activities stopped and we were no longer socializing, going to dinner, watching a ballgame, etc. Many of the human behaviors and activities that impact our environment came to screeching halt.
One thing that didn’t stop were our bat detectors. They continued to record bat activity night after night.
The UNCG and GSC researchers met (on Zoom of course) and asked, do you think bat activity changed in response to the reduction in human activity since it was so sudden?
We want to know if the results we found studying bat activity is something they learned over time or if bats respond to human activity on a whim. Researchers are reviewing bat data from spring 2018, 2019, and 2020 to look for a change in bat behavior weekend to weekday. If bat activity responds to human activity on a fine scale, we should see a change in activity in 2020 in response to the stay-at-home order.
At this time, we are analyzing data, but we want to know what you think we will find.
Hypothesis:
If bat activity patterns are a fine scale response to human activity patterns, then we will see a change in bat activity in 2020 resulting from the COVID-19 induced stay-at-home order.
What do you think we will see? Vote below: