How DNA from snow helps scientists track elusive animals

Researchers are using environmental DNA to help monitor and measure populations of rare snow-dwelling species like Canadian lynx.

How DNA from snow helps scientists track elusive animals

Researchers are using environmental DNA to help monitor and measure populations of rare snow-dwelling species like Canadian lynx.

Getting your paws on a Canadian lynx is no easy task. These rare cats inhabit remote forests and steep rocky mountains. In fact, lynx are so scarcely-seen, they’ve been dubbed the “ghost cat”—and little is known about their distribution. This lack of information has hindered efforts to conserve the animal, which is listed as a threatened under the Endangered Species Act.

Scientists have now begun using a new technique to track these animals down, by detecting trace amounts of DNA left in the snowy tracks of these and other creatures. In a study published in the journal Biological Conservation, scientists from the U. S. Forest Service were able to confirm the presence of a lynx in the Northern Rockies through genetic analysis of snow it had stepped in.

Experts say this non-invasive approach will improve the accuracy of wildlife surveys in snowy environments and help conservationists identify and preserve critical habitat for lynx and other snow-dwelling species.

Following footprints

Finding a wild Canadian lynx, whose range is thought to extend across most of northern North America, was once akin to finding a needle in a haystack, says Michael Schwartz, director of the Forest Service’s National Genomics Center for Wildlife and Fish Conservation and co-author of the study. [Hear the Otherworldly Screams of Lynx in Battle]

Members of Schwartz’s team, including carnivore biologist Jessie Golding, have been following snow tracks and setting up cameras in remote boreal forests in Montana and Idaho for years in the hopes of detecting, among other things, Canadian lynx. However, tracks and photos alone don’t necessarily offer definitive evidence of their presence.

“Using camera traps, you don’t always get the perfect picture, and it's often hard to tell if [the animal] is a lynx or a bobcat,” Golding says in the short film Tracking Snow, included in this year’s National Geographic Short Film Showcase. Tracks are also often not conclusive, Golding adds. “Even experts misidentify tracks.”

Until recently, the only definitive way to determine if a lynx was living on a landscape was to search the area for scat shortly after a snowfall—an arduous and often unfruitful endeavor.

“It took a huge effort, but we've cut that down,” Schwartz says. “All we have to do now is find something that looks like it could be lynx tracks, scoop anywhere from two to a dozen tracks out of the snow, put that snow in a bottle, and send it back to the lab.”

How it works

As organisms go about their daily lives, they release skin cells, hair, droppings, urine, eggs, sperm, and other biological materials into their environment. These materials contain trace amounts of the animal’s DNA, which can become incorporated into the water, snow, or soil. Such genetics traces are called environmental DNA, or eDNA.

Over the past decade, advancements in molecular biology have reduced the amount of biological material needed in order to run a genetic analysis. What once required vials of blood and tufts of hair can now be done with a smattering of skin cells, allowing scientists to detect even minute amounts of eDNA. [Learn how eDNA is being used to search for the Loch Ness Monster]

Scientists can isolate this eDNA using a molecular technique known as quantitative polymerase chain reaction, or qPCR, and compare it against a database of known DNA sequences to identify the organism that left it behind. Schwartz and his team, which included eDNA researcher Thomas Franklin, have had tremendous success in the past few years using eDNA sampling techniques to measure biodiversity in aquatic ecosystems. But they began to wonder if the technique could be applied to frozen water—snow—as well.

Leaving a trace

Schwartz and his team tested their theory on animal paw prints left in the snow in Montana and Idaho They demonstrated that isolating eDNA from tracks is an effective means of detecting lynx, wolverines, and fishers—“three different species that are considered rare in some parts of their environment,” Schwartz says. [Fierce, Furry Fishers Are Expanding Their Range—and Bulk]

“Environmental DNA provides unprecedented opportunities to get information on species distribution, abundance, and diet,” says Justine Smith, an ecologist and postdoctoral researcher at the University of California, Berkeley. “It increases the geographic area that can be sampled and can improve accuracy in sampling assessments.”

“It’s exciting to see eDNA approaches continue to evolve and improve our understanding of species and processes that are challenging to monitor,” Smith says.

The research team was able to isolate lynx DNA in concentrations as low as five cells per liter of snow, Schwartz says, a feat made possible by technology he considers revolutionary.

“We found using eDNA to survey aquatic systems was 10 times more cost-effective and 10 times faster than traditional sampling methods,” Schwartz says, adding “we expect something similar, if not greater to be true with our sampling of snow tracks for these rare species.”

On the right track

“The authors show that combining eDNA analyses with camera traps and snow tracking can increase confidence in the presence of rare species,” Smith says, “which can be really important in managing those species, prioritizing land for conservation, or understanding how rare species respond to environmental threats like climate change.”

One of the goals of this research, Schwartz says, is to demonstrate a way for scientists to identify the areas where conservation efforts would have the greatest impact.

“You want to make sure your conservation dollars are being spent where species exist. Putting it where they don’t exist doesn't help anyone,” Schwartz says. “It's not cost effective for the agency, and it doesn't help the species.”

He hopes this new, efficient method of monitoring wildlife will be used to improve conservation efforts for other rare species in snowy habitats in the future as well.