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Red flowers have a ‘magic trait’ to attract birds and keep bees away
Joshua J. Cotten
Adrian Dyer, Monash University and Klaus Lunau, Heinrich Heine UniversitÀt DÃŒsseldorfFor flowering plants, reproduction is a question of the birds and the bees. Attracting the right pollinator can be a matter of survival – and new research shows how flowers do it is more intriguing than anyone realised, and might even involve a little bit of magic.
In our new paper, published in Current Biology, we discuss how a single “magic” trait of some flowering plants simultaneously camouflages them from bees and makes them stand out brightly to birds.
How animals see
We humans typically have three types of light receptors in our eyes, which enable our rich sense of colours.
These are cells sensitive to blue, green or red light. From the input from these cells, the brain generates many colours including yellow via what is called colour opponent processing.
The way colour opponent processing works is that different sensed colours are processed by the brain in opposition. For example, we see some signals as red and some as green – but never a colour in between.
Many other animals also see colour and show evidence of also using opponent processing.
Bees see their world using cells that sense ultraviolet, blue and green light, while birds have a fourth type sensitive to red light as well.
Our colour perception illustrated with the spectral bar is different to bees that are sensitive to UV, blue and green, or birds with four colour photoreceptors including red sensitivity. Adrian Dyer & Klaus Lunau, CC BYThe problem flowering plants face
So what do these differences in colour vision have to do with plants, genetics and magic?
Flowers need to attract pollinators of the right size, so their pollen ends up on the correct part of an animal’s body so it’s efficiently flown to another flower to enable pollination.
Accordingly, birds tend to visit larger flowers. These flowers in turn need to provide large volumes of nectar for the hungry foragers.
But when large amounts of sweet-tasting nectar are on offer, there’s a risk bees will come along to feast on it – and in the process, collect valuable pollen. And this is a problem because bees are not the right size to efficiently transfer pollen between larger flowers.
Flowers “signal” to pollinators with bright colours and patterns – but these plants need a signal that will attract birds without drawing the attention of bees.
We know bee pollination and flower signalling evolved before bird pollination. So how could plants efficiently make the change to being pollinated by birds, which enables the transfer of pollen over long distances?
Avoiding bees or attracting birds?
A walk through nature lets us see with our own eyes that most red flowers are visited by birds, rather than bees. So bird-pollinated flowers have successfully made the transition. Two different theories have been developed that may explain what we observe.
One theory is the bee avoidance hypotheses where bird pollinated flowers just use a colour that is hard for bees to see.
A second theory is that birds might prefer red.
But neither of these theories seemed complete, as inexperienced birds don’t demonstrate a preference for a stronger red hue. However, bird-pollinated flowers do have a very distinct red hue, which suggests avoiding bees can’t solely explain why consistently salient red flower colours evolved.
A magical solution
In evolutionary science, the term magic trait refers to an evolved solution where one genetic modification may yield fitness benefits in multiple ways.
Earlier this month, a team working on how this might apply to flowering plants showed that a gene that modulates UV-absorbing pigments in flower petals can indeed have multiple benefits. This is because of how bees and birds view colour signals differently.
Bee-pollinated flowers come in a diverse range of colours. Bees even pollinate some plants with red flowers. But these flowers tend to also reflect a lot of UV, which helps bees find them.
The magic gene has the effect of reducing the amount of UV light reflected from the petal, making flowers harder for bees to see. But (and this is where the magic comes in) reducing UV reflection from a petal of a red flower simultaneously makes it look redder for animals – such as birds – which are believed to have a colour opponent system.
Red flowers look similar for humans, but as flowers evolved for bird vision a genetic change down-regulates UV reflection, making flowers more colourful for birds and less visible to bees. Adrian Dyer & Klaus Lunau, CC BYBirds that visit these bright red flowers gain rewards – and with experience, they learn to go repeatedly to the red flowers.
One small gene change for colour signalling in the UV yields multiple beneficial outcomes by avoiding bees and displaying enhanced colours to entice multiple visits from birds.
We lucky humans are fortunate that our red perception can also see the result of this clever little trick of nature to produce beautiful red flower colours. So on your next walk on a nice day, take a minute to view one of nature’s great experiments on finding a clever solution to a complex problem.![]()
Adrian Dyer, Associate Professor, Department of Physiology, Monash University and Klaus Lunau, Professor, Institute of Sensory Ecology, Heinrich Heine UniversitÀt DÌsseldorf
This article is republished from The Conversation under a Creative Commons license. Read the original article.
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Emily Wanderer, University of Pittsburgh
When a grizzly bear attacked a group of fourth- and fifth-graders in western Canada in late November 2025, it sparked more than a rescue effort for the 11 people injured – four with severe injuries. Local authorities began trying to find the specific bear that was involved in order to relocate or euthanize it, depending on the results of their assessment.
The attack, in Bella Coola, British Columbia, was very unusual bear behavior and sparked an effort to figure out exactly what had happened and why. That meant finding the bear involved – which, based on witness statements, was a mother grizzly with two cubs.
Searchers combed the area on foot and by helicopter and trapped four bears. DNA comparisons to evidence from the attack cleared each of the trapped bears, and they were released back to the wild. After more than three weeks without finding the bear responsible for the attack, officials called off the search.
The case highlights the difficulty of identifying individual bears, which becomes important when one is exhibiting unusual behavior. Bears tend to look a lot alike to people, and untrained observers can have a very hard time telling them apart. DNA testing is excellent for telling individuals apart, but it is expensive and requires physical samples from bears. Being trapped and having other contact with humans is also stressful for them, and wildlife managers often seek to minimize trapping.
Recent advances in computer vision and other types of artificial intelligence offer a possible alternative: facial recognition for bears.
As a cultural anthropologist, I study how scientists produce knowledge and technologies, and how new technology is transforming ecological science and conservation practices. Some of my research has looked at the work of computer scientists and ecologists making facial recognition for animals. These tools, which reflect both technological advances and broader popular interest in wildlife, can reshape how scientists and the general public understand animals by getting to know formerly anonymous creatures as individuals.
New ways to identify animals
A facial recognition tool for bears called BearID is under development by computer scientists Ed Miller and Mary Nguyen, working with Melanie Clapham, a behavioral ecologist working for the Nanwakolas Council of First Nations, conducting applied research on grizzly bears in British Columbia.
It uses deep learning, a subset of machine learning that makes use of artificial neural networks, to analyze images of bears and identify individual animals. The photos are drawn from a collection of images taken by naturalists at Knight Inlet, British Columbia, and by National Park Service staff and independent photographers at Brooks River in Katmai National Park, Alaska.
Bears’ bodies change dramatically from post-hibernation skinny in the spring to fat and ready for winter in the fall. However, the geometry of each bear’s face – the arrangement of key features like their eyes and nose – remains relatively stable over seasons and years.
BearID uses an algorithm to locate bear faces in pictures and make measurements between those key features. Each animal has a unique set of measurements, so a photograph of one taken yesterday can be matched with an image taken some time ago.
Miller has built a web tool to automatically detect bears in the webcams from Brooks River that originally inspired the project. The BearID team has also been working with Rebecca Zug, a professor and director of the carnivore lab at the Universidad San Francisco de Quito, to develop a bear identification model for Andean bears to use in bear ecology and conservation research in Ecuador.
Animal faces are less controversial
Human facial recognition is extremely controversial. In 2021, Meta ended the use of its face recognition system, which automatically identified people in photographs and videos uploaded to Facebook. The company described it as a powerful technology that, while potentially beneficial, was currently not suitable for widespread use on its platform.
In the years following that announcement, Meta gradually reintroduced facial recognition technology, using it to detect scams involving public figures and to verify users’ identities after their accounts had been breached.
When used on humans, critics have called facial recognition technology the “plutonium of AI” and a dangerous tool with few legitimate uses. Even as facial recognition has become more widespread, researchers remain convinced of its dangers. Researchers at the American Civil Liberties Union highlight the continued threat to Americans’ constitutional rights posed by facial recognition and the harms caused by inaccurate identifications.
For wildlife, the ethical controversies are perhaps less pressing, although there is still potential for animals to be harmed by people who are using AI systems. And facial recognition could help wildlife managers identify and euthanize or relocate bears that are causing significant problems for people.
Wildlife ecologists sometimes find focusing on individual animals problematic. Naming animals may make them “seem less wild.” Names that carry cultural meaning can also frame people’s interpretations of animal behavior. As the Katmai rangers note, humans may interpret the behaviors of a bear named Killer differently than one named Fluffy.
Wildlife management decisions are meant to be made about groups of animals and areas of territory. When people become connected to individual animals, including by naming them, decisions become more complicated, whether in the wild or in captivity.
When people connect with particular animals, they may object to management decisions that harm individuals for the sake of the health of the population as a whole. For example, wildlife managers may need to move or euthanize animals for the health of the broader population or ecosystem.
But knowing and understanding bears as individual animals can also deepen the fascination and connections people already have with bears.
For example, Fat Bear Week, an annual competition hosted by explore.org and Katmai National Park, drew over a million votes in 2025 as people campaigned and voted for their favorite bear. The winner was Bear 32, also known as “Chunk.” Chunk was identified in photographs and videos the old-fashioned way, based on human observations of distinguishing characteristics – such as a large scar across his muzzle and a broken jaw.
In addition to identifying problematic animals, I believe algorithmic tools like facial recognition could help an even broader audience of humans deepen their understanding of bears as a whole by connecting with one or two specific animals.![]()
Emily Wanderer, Associate Professor of Anthropology, University of Pittsburgh
This article is republished from The Conversation under a Creative Commons license. Read the original article.
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(Image: INL)2025 Was 'Year of the Octopus' Says UK Wildlife Trust, Amid Record Cephalopod Sightings

It was 75 years ago the last time there were as many octopus in British waters as there are now, with the UK’s Wildlife Trusts declaring that 2025 was the ‘Year of the Octopus.’
These eight-legged spineless creatures, one of the most fascinating to inhabit our planet, have been seen in record numbers by divers, and caught in record amounts by commercial fishermen.
Scientists suggest it could be milder winters leading to the “bloom,” which is the term for octopus birthing seasons.
“It really has been exceptional,” says Matt Slater from the Cornwall Wildlife Trust. “We’ve seen octopuses jet-propelling themselves along. We’ve seen octopuses camouflaging themselves, they look just like seaweeds,” he told the BBC.
“We’ve seen them cleaning themselves. And we’ve even seen them walking, using two legs just to nonchalantly cruise away from the diver underwater.”
Regarding the fisheries, it’s been a banner year for the industry. 2021 and 2023 have seen the highest yearly catches recently, when around 200 metric tons were landed. This year it was 12-times that amount.
Interestingly, their chief prey species, lobsters, crayfish, and scallops, have maintained year-over-year populations, with only crab falling.
It’s up to scientists now to figure out whether this octopu-nanza is part of a one-off event, or something that will be a more permanent feature of British seas. If the suggestion that warmer winters may be behind the massive bloom, future hatching seasons could be similarly large.While it may be premature to celebrate an unusual effect that seems tied to climate change, it’s hard to argue with the smiles on the faces of the divers, the diners, and the fishermen. 2025 Was 'Year of the Octopus' Says UK Wildlife Trust, Amid Record Cephalopod Sightings
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Most red flowers are visited by birds, rather than bees.