University of Michigan wildlife ecologist Nyeema Harris and graduate student Corbin Kuntze are deep in the woods in the southeast corner of the U-M Biological Station, a 10,000-acre property at the northern tip of Michigan's Lower Peninsula.

While Harris looks on, Kuntze crawls slowly on all fours, imitating a coyote or a bear while glancing at the flashing red light on a digital camera strapped to the base of a hemlock trunk.

"We call this the walk test," Harris said. "We need to simulate various animals passing in front of the camera, to make sure it goes off when it's supposed to and that we get the small ones as well as the bigger ones."

The U-M Biological Station is one of three Michigan sites – the others are in the Upper Peninsula and at a wildlife refuge near Saginaw – where Harris' team recently installed motion-triggered "camera traps" to capture snapshots of the state's diverse wildlife. They're mainly interested in carnivores, the meat eaters.

The three-site wildlife survey uses about 150 digital cameras that will yield hundreds of thousands of snapshots. A fourth site is planned for Detroit to track urban wildlife in city parks next summer.

It's the largest-ever camera-trap study of Michigan wildlife, according to Harris.

A black bear makes a cameo appearance at the U-M Biological Station.

To help identify all those animals, the researchers have enlisted the support of volunteer citizen scientists – including Michigan students of all ages – in a project called Michigan ZoomIN, which launched this month.

The main goal of the multi-year camera project is to determine how populations of Michigan's meat-eating animals – including weasels, minks, raccoons, badgers, skunks, foxes, coyotes, bobcats, bears, wolves and lynx and potentially mountain lions – vary from place to place.

Specifically, the researchers want to know how the animals' daily activity patterns, the types of habitats they use, their diet and even the parasites that plague them differ between locations. This data trove is expected to yield insights for wildlife management and conservation efforts now and in the future, as these animal populations shift in response to human-induced pressures such as urbanization and climate change.

"It's a massive field effort followed by a massive identification effort involving hundreds of thousands of images," said Harris, an assistant professor in the U-M Department of Ecology and Evolutionary Biology who also conducts camera-trap studies in Africa. "So our citizen scientists will be a huge help to us, whether that person is an elementary school student in Detroit or a retired accountant in Montana."

The main goal of the multi-year camera project is to determine how populations of Michigan's meat-eating animals—including weasels, minks, raccoons, badgers, skunks, foxes, coyotes, bobcats, bears, wolves and lynx and potentially mountain lions – vary from place to place.

Specifically, the researchers want to know how the animals' daily activity patterns, the types of habitats they use, their diet and even the parasites that plague them differ between locations. This data trove is expected to yield insights for wildlife management and conservation efforts now and in the future, as these animal populations shift in response to human-induced pressures such as urbanization and climate change.

Kuntze is using data from the camera-trap study for his master's thesis in the U-M Department of Ecology and Evolutionary Biology, with Harris as his adviser. Each photo bears a date and time stamp, which allows Kuntze to study "temporal partitioning," or how two carnivore species – say coyote and raccoon – use the same location at different times.

He's also analyzing coyote scat to determine how the foods and intestinal parasites of these canids vary from place to place across the state.

Another U-M graduate student working under Harris, Shawn Colborn, is using the camera-trap photos and scat samples for his master's thesis in the Department of Ecology and Evolutionary Biology. He is studying variations in coyote diet and spatial use patterns.

The story received widespread media attention including in the Detroit Free Press, USA Today and the Big Ten Network.  

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