Flying_Over_Wolves

Two ravens soar above a wolf pack in Yellowstone. This type of short-distance following is common, but prolonged following is extremely rare. (Credit: Daniel Stahler / YNP)

These Carnivorous Black Birds Make Mental Maps Of Every Wolf Kill In Park To Find Free Meals

In A Nutshell

  • Ravens don’t follow wolves to find food. Instead, they memorize areas where wolf kills happen frequently and fly there on their own, sometimes traveling over 150 kilometers in a single day.
  • A 2.5-year GPS study in Yellowstone recorded just one instance of a raven actually following a wolf over a long distance, out of hundreds of thousands of location fixes across 69 tracked birds.
  • Ravens navigated toward known wolf hunting zones with the same precision they use to find permanent food sources like landfills, pointing to sophisticated long-term spatial memory.
  • The findings add to a growing body of evidence that ravens rank among the most cognitively advanced animals on the planet, capable of anticipating where food will appear before it does.

Ravens have long been thought to trail wolves across the wilderness, hitching a free meal off whatever the predators bring down. Scientists have largely accepted this idea for decades. A new study says that picture is wrong, and what these birds are actually doing reveals just how formidable their minds really are.

Rather than shadowing wolves in real time, ravens appear to rely on spatial memory of areas where wolf kills tend to occur, using that knowledge to fly directly to the right areas from vast distances. Over a 2.5-year tracking study published in the journal Science, researchers found that long-distance following between ravens and wolves was extremely rare. Instead, ravens repeatedly returned to specific kill-heavy zones on their own, sometimes covering up to 155 kilometers in a single day to get there.

Ravens are already celebrated for their problem-solving skills, future-planning abilities, and even a basic awareness that other animals have their own intentions, a trait scientists call theory of mind, all documented in earlier research. Now, a this study points to yet another cognitive skill: remembering not just where food was found, but where it is likely to appear again.

How Researchers Tracked Raven Spatial Memory Across Yellowstone

A team from institutions including the University of Veterinary Medicine Vienna, the Max-Planck Institute of Animal Behavior, and the U.S. National Park Service outfitted ravens, wolves, and cougars across Yellowstone with GPS tracking devices. Over roughly two and a half years, between October 2019 and March 2022, they collected hundreds of thousands of location fixes across all three species, while also logging the dates and locations of hundreds of wolf and cougar kills. That gave them a detailed, ground-level picture of where predation actually happened across the landscape.

Two groups of ravens emerged. Some birds were year-round territorial residents living within or near wolf territories, while others were wanderers, nomadic birds without fixed home ranges drifting across the broader Greater Yellowstone Ecosystem. Both groups proved far more capable at finding food than prior assumptions suggested.

raven with gps
The team fitted ravens with GPS backpacks, seen here with antenna protruding. (Credit: Matthias Loretto)

Do Ravens Follow Wolves? Scientists Recorded Just One Instance in 2.5 Years

Across the entire tracking period, long-distance following between a raven and a wolf happened exactly once. A single vagrant raven flew roughly 60 kilometers toward a wolf territory, traveled alongside a GPS-collared wolf for about four kilometers over two hours, roosted overnight, then returned to where it started. That was the only instance. No raven was ever recorded following a cougar over distance at all.

Ravens did cross paths with wolves more often than random chance would predict, and nearly half of all wolf kills were visited by at least one tracked raven within the first week. But ravens were not tailing wolves step by step to get there. They were heading straight for zones where wolves hunted frequently, zones they appeared to already know about.

The contrast with cougars is telling. Only about a quarter of cougar kills drew a GPS-tagged raven, far fewer than wolf kills. The reason is straightforward: wolves hunt in packs, work mainly in open terrain, and sometimes howl during a hunt, making them relatively conspicuous. Cougars are solitary, hunt in dense and rugged landscape, and cache their kills between feedings to keep scavengers away. For a raven trying to find a meal, wolves are simply a more legible presence on the landscape.

Raven Spatial Memory Rivals Navigation to a Known Food Source

Rather than following predators, ravens seem to rely on something like a cognitive map, a learned sense of which parts of the landscape produce wolf kills with any regularity. That is not a trivial thing to know. Wolf predation in Yellowstone is not random: elk face kill risk up to ten times higher in certain open, snow-covered grasslands near streams and roads than in other parts of the park, and ravens appear to have learned this geography through experience.

To test whether ravens were actually using memory, researchers compared how accurately they flew toward wolf kill zones versus how accurately they flew toward permanent, predictable food sources like landfills. Ravens navigated to both with nearly the same precision, moving in direct lines. It did not matter whether the destination was a guaranteed garbage pile or a zone where a carcass might appear.

One tracked raven was recorded associating with wolves on 48 separate days across the study period. Return visits ranged from a few days to nearly a year apart, pointing to genuine, long-term spatial knowledge rather than coincidence.

As the authors wrote, “spatial memory and navigation play a considerably greater role than previously assumed among scavengers, and possibly other wide-ranging species, in search of ephemeral resources,” meaning food sources that appear unpredictably across the landscape. Ravens with established territories inside wolf hunting grounds flew more directly to kill zones than nomadic birds did, likely because familiarity with the local terrain makes for a more confident route.

What Ravens’ Foraging Strategy Reveals About Animal Intelligence

Ravens are not alone in using this kind of strategy. Blue whales track seasonal plankton blooms across entire ocean basins. Chimpanzees remember fruit-bearing trees and return at the right time of year. Ravens appear to work the same way, just applied to where wolves tend to hunt.

Once in a promising area, ravens likely rely on real-time cues to zero in on a specific carcass: sounds from other scavengers, wolf howling, or the sight of other ravens descending. The decision to make the long-distance trip toward a particular stretch of landscape in the first place, though, appears to come from memory.

A bird already known for stealing cached food, anticipating the future, and reading the intentions of other animals also keeps a running mental log of the best hunting grounds in the region. For the ravens of Yellowstone, arriving at a wolf kill is not a lucky stumble. It appears to be a return visit, made on purpose.


Paper Notes

Limitations

GPS sampling intervals may not have been frequent enough to capture every instance of short-duration following behavior, and a larger sample of tagged individuals could potentially reveal additional cases. The study was conducted within the specific ecological conditions of Yellowstone National Park, where wolf territories and prey distributions are relatively well-defined, and findings may not translate directly to other landscapes or raven populations. How ravens pinpoint a specific carcass once they arrive in a promising area remains an open question that will require finer-scale tracking data to resolve.

Funding and Disclosures

Funding was provided by the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement 798091; the National Geographic Society grant NGS-61630R-19; the German Research Foundation under grants 515649177 and Excellence Strategy EXC 2117-422037984; and the James W. Ridgeway endowment at the University of Washington. Additional support came from Yellowstone Forever and its donors. GPS location data from wolves and cougars cannot be made publicly available due to conservation-related concerns about hunting outside park boundaries, but qualified researchers may request access. Authors declare no competing interests.

Publication Details

Title: Ravens anticipate wolf kill sites across broad scales Authors: Matthias-Claudio Loretto, Kristina B. Beck, Douglas W. Smith, Daniel R. Stahler, Lauren E. Walker, Martin Wikelski, Thomas Mueller, Kamran Safi, and John M. Marzluff Journal: Science, Vol. 391, Issue 6790 (March 12, 2026) DOI: 10.1126/science.adz9467 Submitted: June 20, 2025; Accepted: December 30, 2025

About StudyFinds Analysis

Called "brilliant," "fantastic," and "spot on" by scientists and researchers, our acclaimed StudyFinds Analysis articles are created using an exclusive AI-based model with complete human oversight by the StudyFinds Editorial Team. For these articles, we use an unparalleled LLM process across multiple systems to analyze entire journal papers, extract data, and create accurate, accessible content. Our writing and editing team proofreads and polishes each and every article before publishing. With recent studies showing that artificial intelligence can interpret scientific research as well as (or even better) than field experts and specialists, StudyFinds was among the earliest to adopt and test this technology before approving its widespread use on our site. We stand by our practice and continuously update our processes to ensure the very highest level of accuracy. Read our AI Policy (link below) for more information.

Our Editorial Process

StudyFinds publishes digestible, agenda-free, transparent research summaries that are intended to inform the reader as well as stir civil, educated debate. We do not agree nor disagree with any of the studies we post, rather, we encourage our readers to debate the veracity of the findings themselves. All articles published on StudyFinds are vetted by our editors prior to publication and include links back to the source or corresponding journal article, if possible.

Our Editorial Team

Steve Fink

Editor-in-Chief

John Anderer

Associate Editor

Leave a Comment