Chris Doel powers electric car with disposable vape batteries – SWNS
Credit: Pablo Merchán Montes for Unsplash+
Chris Doel powers electric car with disposable vape batteries – SWNS
Credit: Pablo Merchán Montes for Unsplash+
Animals are noisy. And their noises can travel a long way.
But making sounds can be a double-edged sword: it can help them communicate, sometimes over long distances, but it can also reveal them to predators.
In new research published in the Journal of Mammalian Evolution, my colleague and I studied how far the sounds of 103 different mammal species travel, and discovered some surprising patterns.
What’s more, these patterns hint at an overlooked impact humans may be having on our fellow creatures: not only changing their sonic landscapes through our own noise, but also changing the world their sounds are travelling through, with unknown effects.
In aquatic mammals, the relationship between the size of an animal and the farthest distance its call travels is simple. Bigger animals can be heard farther away.
On a perfect day in perfect conditions, the call of a blue whale (the largest animal in history) can travel up to 1,600 kilometres. Its (slightly smaller) cousin the fin whale can be heard over a similar distance.
These are the longest-travelling animal sounds ever reported.
On land, the story is very different. Environmental factors are crucial to how far the sound of a terrestrial mammal travels.
Things that matter include the size of an animal’s home range (the area in which it lives and defends resources), whether a call is territorial (to defend against other animals), whether the environment is open versus densely vegetated, and if the animal is very social or solitary.
Lions call to announce their presence in the landscape and to defend territories. Ben JJ Walker / UNSW Sydney, CC BY-NC-ND
Our research is centred around the idea that your sound reveals you to predators, and that revelation leads to a higher risk of injury and death (potentially before you pass on your genes, and hence reducing what evolutionary biologists call “fitness”). This would be because the predator can more quickly locate its calling prey.
There is a delicate balance between using sounds to communicate and using sounds in the wrong place and at the wrong time.
If sound is revealed at the wrong distance, it may mess up the reason an animal uses the sound in the first place.
Animals that cannot adapt to changes in the sound environment may reveal themselves and be eaten, or may be unable to find their friends.
In the midst of human-induced environmental and species change, understanding how animals use sounds to communicate and find each other has become valuable to conservation. Many ecosystems are being cleared on land to make way for development and agriculture.
Our finding that land mammals in closed habitats have evolved to have relatively farther sound distances is important because of what happens when the environment changes.
If a possum has evolved in a eucalyptus forest, for example, and the forest is cleared, its sounds will travel farther (because there are fewer trees to muffle it). As a result, the possum may reveal itself to a predator when it doesn’t mean to.
This in turn means the animal’s call leaves it more exposed than it “should” in evolutionary terms. The animal may not have the same tools to escape predators that animals evolved for open environments do, and so may be more easily eaten.
Many species have reduced in body size due to things like harvesting activities and climate change.
It’s a well documented fact that many whale species have been getting smaller as a result of human whaling activities and environmental impacts.
Since 1981, for example, the length of northern right whales has become about 7% smaller. Among gray whales, animals born in 2020 are estimated to be 1.65 metres shorter than animals born in the 1980s.
Given our finding that larger body sizes mean farther-travelling sounds in aquatic mammals, smaller whales may not be able to be heard as far away.
This means that when smaller whales call to their friends or family members, their calls may not reach these individuals over the enormous distances the species travel.
Our findings add a new dimension to our understanding of how humans are affecting animals, and may help inform future conservation decisions.
Do they mean anything in our everyday lives?
For one thing, they remind us to take a moment to listen to the world around us.
We might find out where an animal is. We might observe a new species.
We might even find a quiet space in the landscapes around us to sit and connect again with the world and ourselves.![]()
Ben JJ Walker, Researcher, UNSW Sydney
This article is republished from The Conversation under a Creative Commons license. Read the original article.
Wildlife trafficking is a global crisis impacting at least 4,000 species of plants and animals, including mammals, reptiles, birds, corals and rare plants.
A shocking case from 2025 involved the seizure of 3.7 tonnes of pangolin scales in Nigeria. These scales were believed to be sourced from more than 1,900 individual pangolins.
While this case was uncovered, many more remain undetected. These crimes aren’t just pushing species toward extinction, they’re also putting people at risk. Hunting, trafficking and handling wild animals creates opportunities for diseases to jump from animals to humans. Wildlife trafficking is therefore not just a conservation crisis, but a serious threat to public health.
In our recent paper published in Conservation Biology, we present a new method for tackling this global crime. It uses a tiny sample of air extracted from a shipping container – and the incredible power of a dogs’ nose.
People buy and sell a wide range of wild animals and their parts for many reasons, such as pangolin scales for traditional medicines, monkeys for exotic pets, or even porcupines for bushmeat.
Traffickers exploit global transport routes to move their products, with shipping containers in particular being ideal targets.
Containers carry up to 90% of the world’s cargo, meaning products can be easily concealed and blend into the high volume of container traffic moving through ports.
Despite this, on average only about 2% of containers are physically inspected due to resource limitations.
There are few wildlife specific detection tools, and wildlife crime is often considered a low priority. Combined, this means most trafficking slips through undetected.
To bridge this gap, we investigated air sampling as a way to screen containers for wildlife without opening them, damaging cargo, or disrupting port operations.
This work was part of a four-year project, undertaken in collaboration with the world’s third largest shipping company CMA CGM.
We designed a portable air extraction device that fits onto a standard container vent and draws air through a filter to collect a sample. The sample is then presented to a trained detection dog which can indicate whether the scent of specific wildlife products is present.
In our study, we concealed pelts from five big cat species – lion, tiger, leopard, snow leopard and cheetah – inside standard-sized shipping containers. The pelts were arranged to simulate smuggling scenarios, including being hidden inside cardboard boxes to increase concealment.
Our detection dog successfully detected the pelts with almost 98% accuracy when air was extracted from the shipping container. They did so even when the pelts were concealed, demonstrating that the scent can escape into the container airspace and be reliably captured.
Detection dogs are already widely used by customs and border agencies around the world, but their ability to screen sealed containers at scale is limited. Containers are often inaccessible, stacked high, or in environments that are unsafe for dogs.
Our approach brings the scent to the dog, allowing many more containers to be screened efficiently and safely.
While the study was conducted under controlled conditions, these early results are encouraging. Pairing detection dogs with air-sampling could dramatically improve the detection of illegally trafficked wildlife hidden inside shipping containers.
The air extraction device is low cost, portable and scalable, making it well suited for use in high-risk ports and border crossings worldwide. The method could also be readily adapted for detecting other forms of trafficking, such as drugs, increasing its appeal to border agencies.
Further trials are planned to validate the effectiveness of this approach in operational port environments across a broader range of wildlife products.
We are also exploring machine-based detectors to analyse samples and support the future development of this project.
However, initial findings show the dogs still outperform these technologies, which currently remain our most effective approach.
Our goal is to give frontline agencies practical tools to fight wildlife trafficking.
Through applying science-based research in the field, we can bridge enforcement gaps and detect trafficked wildlife faster, allowing us to better protect threatened species and disrupt the criminal networks behind this devastating trade.![]()
Georgia Moloney, Researcher, School of Animal and Veterinary Sciences, Adelaide University and Anne-Lise Chaber, One Health Lecturer, School of Animal and Veterinary Science, Adelaide University
This article is republished from The Conversation under a Creative Commons license. Read the original article.
Since the pandemic, offices around the world have quietly shrunk. Many organisations don’t need as much floor space or as many desks, given many staff now do a mix of hybrid work from home and the office.
But on days when more staff are required to be in, office spaces can feel noticeably busier and noisier. Despite so much focus on getting workers back into offices, there has been far less focus on the impacts of returning to open-plan workspaces.
Now, more research confirms what many suspected: our brains have to work harder in open-plan spaces than in private offices.
In a recently published study, researchers at a Spanish university fitted 26 people, aged in their mid-20s to mid-60s, with wireless electroencephalogram (EEG) headsets. EEG testing can measure how hard the brain is working by tracking electrical activity through sensors on the scalp.
Participants completed simulated office tasks, such as monitoring notifications, reading and responding to emails, and memorising and recalling lists of words.
Each participant was monitored while completing the tasks in two different settings: an open-plan workspace with colleagues nearby, and a small enclosed work “pod” with clear glazed panels on one side.
The researchers focused on the frontal regions of the brain, responsible for attention, concentration, and filtering out distractions. They measured different types of brain waves.
As neuroscientist Susan Hillier explains in more detail, different brain waves reveal distinct mental states:
- “gamma” is linked with states or tasks that require more focused concentration
- “beta” is linked with higher anxiety and more active states, with attention often directed externally
- “alpha” is linked with being very relaxed, and passive attention (such as listening quietly but not engaging)
- “theta” is linked with deep relaxation and inward focus
- and “delta” is linked with deep sleep.
The Spanish study found that the same tasks done inside the enclosed pod vs the open-plan workspace produced completely opposite patterns.
In the work pod, the study found beta waves – associated with active mental processing – dropped significantly over the experiment, as did alpha waves linked to passive attention and overall activity in the frontal brain regions.
This meant people’s brains needed progressively less effort to sustain the same work.
The open-plan office testing showed the reverse.
Gamma waves, linked to complex mental processing, climbed steadily. Theta waves, which track both working memory and mental fatigue, increased. Two key measures also rose significantly: arousal (how alert and activated the brain is) and engagement (how much mental effort is being applied).
In other words, in the open-plan office participants’ brains had to work harder to maintain performance.
Even when we try to ignore distractions, our brain has to expend mental effort to filter them out.
In contrast, the pod eliminated most background noise and visual disruptions, allowing participant’s brains to work more efficiently.
Researchers also found much wider variability in the open office. Some people’s brain activity increased dramatically, while others showed modest changes. This suggests individual differences in how distracting we find open-plan spaces.
With only 26 participants, this was a relatively small study. But its findings echo a significant body of research from the past decade.
In our 2021 study, my colleagues and I found a significant causal relationship between open-plan office noise and physiological stress. Studying 43 participants in controlled conditions – using heart rate, skin conductivity and AI facial emotion recognition – we found negative mood in open plan offices increased by 25% and physiological stress by 34%.
Another study showed background conversations and noisy environments can degrade cognitive task performance and increase distraction for workers.
And a 2013 analysis of more than 42,000 office workers in the United States, Finland, Canada and Australia found those in open-plan offices were less satisfied with their work environment than those in private offices. This was largely due to increased, uncontrollable noise and lack of privacy.
Just as we now recognise poorly designed chairs cause physical strain, years of research has shown how workspace design can result in cognitive strain.
The ability to focus and concentrate without interruption and distraction is a fundamental requirement for modern knowledge work.
Yet the value of uninterrupted work continues to be undervalued in workplace design.
Creating zones where workers can match their workplace environment to the task is essential.
Responding to having more staff doing hybrid work post-pandemic, LinkedIn redesigned its flagship San Francisco office. LinkedIn halved the number of workstations in open plan areas, instead experimenting with 75 types of work settings, including work areas for quiet focus.
For organisations looking to look after their workers’ brains, there are practical measures to consider. These include setting up different work zones, acoustic treatments and sound-masking technologies, and thoughtfully placed partitions to reduce visual and auditory distractions.
While adding those extra features in may cost more upfront than an open plan office, they can be worth it. Research has shown the significant hidden toll of poor office design on productivity, health and employee retention.
Providing workers with more choice in how much they’re exposed to noise and other interruptions is not a luxury. To get more done, with less strain on our brains, better design at work should be seen as a necessity.![]()
Libby (Elizabeth) Sander, MBA Director & Associate Professor of Organisational Behaviour, Bond Business School, Bond University
This article is republished from The Conversation under a Creative Commons license. Read the original article.







Sometimes, we get lucky in science. In this case, an oceanographic float we deployed to do one job ended up drifting away and doing something else entirely.
Equipped with temperature and salinity sensors, our Argo ocean float was supposed to be surveying the ocean around the Totten Glacier, in eastern Antarctica. To our initial disappointment, it rapidly drifted away from this region. But it soon reappeared further west, near ice shelves where no ocean measurements had ever been made.
Drifting in remote and wild seas for two-and-a-half years, the float spent about nine months beneath the massive Denman and Shackleton ice shelves. It survived to send back new data from parts of the ocean that are usually difficult to sample.
Measurements of the ocean beneath ice shelves are crucial to determine how much, and how quickly, Antarctica will contribute to sea-level rise.
Argo floats are autonomous floats used in an international program to measure ocean conditions like temperature and salinity. Peter Harmsen, CC BY-NDArgo floats are free-floating robotic oceanographic instruments. As they drift, they rise and fall through the ocean to depths of up to 2 kilometres, collecting profiles of temperature and salinity. Every ten days or so they rise to the surface to transmit data to satellites.
These floats have become a mainstay of our global ocean observing system. Given that 90% of the extra heat stored by the planet over the past 50 years is found in the ocean, these measurements provide the best thermometer we have to track Earth’s warming.
We deployed the float to measure how much ocean heat was reaching the rapidly changing Totten Glacier, which holds a volume of ice equivalent to 3.5 metres of global sea-level rise. Our previous work had shown enough warm water was reaching the base of the ice shelf to drive the rapid melting.
To our disappointment, the float soon drifted away from Totten. But it reappeared near another ice shelf also currently losing ice mass and potentially at risk of melting further: the Denman Glacier. This holds ice equivalent to 1.5m of global sea-level rise.
The configuration of the Denman Glacier means it could be potentially unstable. But its vulnerability was difficult to assess because few ocean measurements had been made. The data from the float showed that, like Totten Glacier, warm water could reach the cavity beneath the Denman ice shelf.
Our float then disappeared under ice and we feared the worst. But nine months later it surfaced again, having spent that time drifting in the freezing ocean beneath the Denman and Shackleton ice shelves. And it had collected data from places never measured before.
The Denman Glacier in east Antarctica. Pete Harmsen, CC BY-NDAs glaciers flow from the Antarctic continent to the sea, they start to float and form ice shelves. These shelves act like buttresses, resisting the flow of ice from Antarctica to the ocean. But if the giant ice shelves weaken or collapse, more grounded ice flows into the ocean. This causes sea level to rise.
What controls the fate of the Antarctic ice sheet – and therefore the rate of sea-level rise – is how much ocean heat reaches the base of the floating ice shelves. But the processes that cause melting in ice-shelf cavities are very challenging to observe.
Ice shelves can be hundreds or thousands of metres thick. We can drill a hole through the ice and lower oceanographic sensors. But this is expensive and rarely done, so few measurements have been made in ice-shelf cavities.
The Denman and Shackleton glaciers. NASA, CC BY-NDDuring its nine-month drift beneath the ice shelves, the float collected profiles of temperature and salinity from the seafloor to the base of the shelf every five days. This is the first line of oceanographic measurements beneath an ice shelf in East Antarctica.
There was only one problem: because the float was unable to surface and communicate with the satellite for a GPS fix, we didn’t know where the measurements were made. However, it returned data that provided an important clue. Each time it bumped its head on the ice, we got a measurement of the depth of the ice shelf base. We could compare the float data to satellite measurements to work out the likely path of the float beneath the ice.
These measurements showed the Shackleton ice shelf (the most northerly in East Antarctica) is, for now, not exposed to warm water capable of melting it from below, and therefore less vulnerable.
However, the Denman Glacier is exposed to warm water flowing in beneath the ice shelf and causing the ice to melt. The float showed the Denman is delicately poised: a small increase in the thickness of the layer of warm water would cause even greater melting.
These new observations confirm the two most significant glaciers (Denman and Totten) draining ice from this part of East Antarctica are both vulnerable to melt caused by warm water reaching the base of the ice shelves.
Between them, these two glaciers hold a huge volume of ice, equivalent to five metres of global sea level rise. The West Antarctic ice sheet is at greater risk of imminent melting, but East Antarctica holds a much larger volume of ice. This means the loss of ice from East Antarctica is crucial to estimating sea level rise.
Both the Denman and Totten glaciers are stabilised in their present position by the slope of the bedrock on which they sit. But if the ice retreated further, they would be in an unstable configuration where further melt was irreversible. Once this process of unstable retreat begins, we are committed. It may take centuries for the full sea-level rise to be realised, but there’s no going back.
In the future, we need an array of floats spanning the entire Antarctic continental shelf to transform our understanding of how ice shelves react to changes in the ocean. This would give us greater certainty in estimating future sea-level rise.![]()
Steve Rintoul, CSIRO Fellow, CSIRO; Esmee van Wijk, Vanwijk, CSIRO; Laura Herraiz Borreguero, Physical oceanographer, CSIRO, and Madelaine Gamble Rosevear, Postdoctoral Fellow in Physical Oceanography, University of Tasmania
This article is republished from The Conversation under a Creative Commons license. Read the original article.
The COVID-19 mRNA-based vaccines that saved 2.5 million lives globally during the pandemic could help spark the immune system to fight cancer. This is the surprising takeaway of a new study that we and our colleagues published in the journal Nature.
While developing mRNA vaccines for patients with brain tumors in 2016, our team, led by pediatric oncologist Elias Sayour, discovered that mRNA can train immune systems to kill tumors – even if the mRNA is not related to cancer.
Based on this finding, we hypothesized that mRNA vaccines designed to target the SARS-CoV-2 virus that causes COVID-19 might also have antitumor effects.
So we looked at clinical outcomes for more than 1,000 late-stage melanoma and lung cancer patients treated with a type of immunotherapy called immune checkpoint inhibitors. This treatment is a common approach doctors use to train the immune system to kill cancer. It does this by blocking a protein that tumor cells make to turn off immune cells, enabling the immune system to continue killing cancer.
Remarkably, patients who received either the Pfizer or Moderna mRNA-based COVID-19 vaccine within 100 days of starting immunotherapy were more than twice as likely to be alive after three years compared with those who didn’t receive either vaccine. Surprisingly, patients with tumors that don’t typically respond well to immunotherapy also saw very strong benefits, with nearly fivefold improvement in three-year overall survival. This link between improved survival and receiving a COVID-19 mRNA vaccine remained strong even after we controlled for factors like disease severity and co-occurring conditions.
To understand the underlying mechanism, we turned to animal models. We found that COVID-19 mRNA vaccines act like an alarm, triggering the body’s immune system to recognize and kill tumor cells and overcome the cancer’s ability to turn off immune cells. When combined, vaccines and immune checkpoint inhibitors coordinate to unleash the full power of the immune system to kill cancer cells.
Immunotherapy with immune checkpoint inhibitors has revolutionized cancer treatment over the past decade by producing cures in many patients who were previously considered incurable. However, these therapies are ineffective in patients with “cold” tumors that successfully evade immune detection.
Our findings suggest that mRNA vaccines may provide just the spark the immune system needs to turn these “cold” tumors “hot.” If validated in our upcoming clinical trial, our hope is that this widely available, low-cost intervention could extend the benefits of immunotherapy to millions of patients who otherwise would not benefit from this therapy.
Unlike vaccines for infectious diseases, which are used to prevent an infection, therapeutic cancer vaccines are used to help train the immune systems of cancer patients to better fight tumors.
We and many others are currently working hard to make personalized mRNA vaccines for patients with cancer. This involves taking a small sample of a patient’s tumor and using machine learning algorithms to predict which proteins in the tumor would be the best targets for a vaccine. However, this approach can be costly and difficult to manufacture.
In contrast, COVID-19 mRNA vaccines do not need to be personalized, are already widely available at low or no cost around the globe, and could be administered at any time during a patient’s treatment. Our findings that COVID-19 mRNA vaccines have substantial antitumor effects bring hope that they could help extend the anti-cancer benefits of mRNA vaccines to all.
In pursuit of this goal, we are preparing to test this treatment strategy in patients with a nationwide clinical trial in people with lung cancer. People receiving an immune checkpoint inhibitor will be randomized to either receive a COVID-19 mRNA vaccine during treatment or not.
This study will tell us whether COVID-19 mRNA vaccines should be included as part of the standard of care for patients receiving an immune checkpoint inhibitor. Ultimately, we hope that this approach will help many patients who are treated with immune therapy, and especially those who currently lack effective treatment options.
This work exemplifies how a tool born from a global pandemic may provide a new weapon against cancer and rapidly extend the benefits of existing treatments to millions of patients. By harnessing a familiar vaccine in a new way, we hope to extend the lifesaving benefits of immunotherapy to cancer patients who were previously left behind.
The Research Brief is a short take on interesting academic work.![]()
Adam Grippin, Physician Scientist in Cancer Immunotherapy, The University of Texas MD Anderson Cancer Center and Christiano Marconi, Ph.D. Candidate in Immunotherapy, University of Florida
This article is republished from The Conversation under a Creative Commons license. Read the original article.

Curious Kids is a series for children of all ages. If you have a question you’d like an expert to answer, send it to CuriousKidsUS@theconversation.com.
Who invented the light bulb? – Preben, age 5, New York City
When people name the most important inventions in history, light bulbs are usually on the list. They were much safer than earlier light sources, and they made more activities, for both work and play, possible after the Sun went down.
More than a century after its invention, illustrators still use a lit bulb to symbolize a great idea. Credit typically goes to inventor and entrepreneur Thomas Edison, who created the first commercial light and power system in the United States.
But as a historian and author of a book about how electric lighting changed the U.S., I know that the actual story is more complicated and interesting. It shows that complex inventions are not created by a single genius, no matter how talented he or she may be, but by many creative minds and hands working on the same problem.
In the 1870s, Edison raced against other inventors to find a way of producing light from electric current. Americans were keen to give up their gas and kerosene lamps for something that promised to be cleaner and safer. Candles offered little light and posed a fire hazard. Some customers in cities had brighter gas lamps, but they were expensive, hard to operate and polluted the air.
When Edison began working on the challenge, he learned from many other inventors’ ideas and failed experiments. They all were trying to figure out how to send a current through a thin carbon thread encased in glass, making it hot enough to glow without burning out.
In England, for example, chemist Joseph Swan patented an incandescent bulb and lit his own house in 1878. Then in 1881, at a great exhibition on electricity in Paris, Edison and several other inventors demonstrated their light bulbs.
Edison’s version proved to be the brightest and longest-lasting. In 1882 he connected it to a full working system that lit up dozens of homes and offices in downtown Manhattan.
But Edison’s bulb was just one piece of a much more complicated system that included an efficient dynamo – the powerful machine that generated electricity – plus a network of underground wires and new types of lamps. Edison also created the meter, a device that measured how much electricity each household used, so that he could tell how much to charge his customers.
Edison’s invention wasn’t just a science experiment – it was a commercial product that many people proved eager to buy.
As I show in my book, Edison did not solve these many technical challenges on his own.
At his farmhouse laboratory in Menlo Park, New Jersey, Edison hired a team of skilled technicians and trained scientists, and he filled his lab with every possible tool and material. He liked to boast that he had only a fourth grade education, but he knew enough to recruit men who had the skills he lacked. Edison also convinced banker J.P. Morgan and other investors to provide financial backing to pay for his experiments and bring them to market.
Historians often say that Edison’s greatest invention was this collaborative workshop, which he called an “invention factory.” It was capable of launching amazing new machines on a regular basis. Edison set the agenda for its work – a role that earned him the nickname “the wizard of Menlo Park.”
Here was the beginning of what we now call “research and development” – the network of universities and laboratories that produce technological breakthroughs today, ranging from lifesaving vaccines to the internet, as well as many improvements in the electric lights we use now.
Many people found creative ways to use Edison’s light bulb. Factory owners and office managers installed electric light to extend the workday past sunset. Others used it for fun purposes, such as movie marquees, amusement parks, store windows, Christmas trees and evening baseball games.
Theater directors and photographers adapted the light to their arts. Doctors used small bulbs to peer inside the body during surgery. Architects and city planners, sign-makers and deep-sea explorers adapted the new light for all kinds of specialized uses. Through their actions, humanity’s relationship to day and night was reinvented – often in ways that Edison never could have anticipated.
Today people take for granted that they can have all the light they need at the flick of a switch. But that luxury requires a network of power stations, transmission lines and utility poles, managed by teams of trained engineers and electricians. To deliver it, electric power companies grew into an industry monitored by insurance companies and public utility regulators.
Edison’s first fragile light bulbs were just one early step in the electric revolution that has helped create today’s richly illuminated world.
Hello, curious kids! Do you have a question you’d like an expert to answer? Ask an adult to send your question to CuriousKidsUS@theconversation.com. Please tell us your name, age and the city where you live.
And since curiosity has no age limit – adults, let us know what you’re wondering, too. We won’t be able to answer every question, but we will do our best.![]()
Ernest Freeberg, Professor of History, University of Tennessee
This article is republished from The Conversation under a Creative Commons license. Read the original article.
Pink circles show the systems closest to tipping points. Some would have regional effects, such as loss of coral reefs. Others are global, such as the beginning of the collapse of the Greenland ice sheet. Global Tipping Points Report, CC BY-NDScientists have long warned that if global temperatures warmed more than 1.5 degrees Celsius (2.7 Fahrenheit) compared with before the Industrial Revolution, and stayed high, they would increase the risk of passing multiple tipping points. For each of these elements, like the Amazon rain forest or the Greenland ice sheet, hotter temperatures lead to melting ice or drier forests that leave the system more vulnerable to further changes.
Worse, these systems can interact. Freshwater melting from the Greenland ice sheet can weaken ocean currents in the North Atlantic, disrupting air and ocean temperature patterns and marine food chains.
Pink circles show the systems closest to tipping points. Some would have regional effects, such as loss of coral reefs. Others are global, such as the beginning of the collapse of the Greenland ice sheet. Global Tipping Points Report, CC BY-NDWith these warnings in mind, 194 countries a decade ago set 1.5 C as a goal they would try not to cross. Yet in 2024, the planet temporarily breached that threshold.
The term “tipping point” is often used to illustrate these problems, but apocalyptic messages can leave people feeling helpless, wondering if it’s pointless to slam the brakes. As a geoscientist who has studied the ocean and climate for over a decade and recently spent a year on Capitol Hill working on bipartisan climate policy, I still see room for optimism.
It helps to understand what a tipping point is – and what’s known about when each might be reached.
A tipping point is a metaphor for runaway change. Small changes can push a system out of balance. Once past a threshold, the changes reinforce themselves, amplifying until the system transforms into something new.
Almost as soon as “tipping points” entered the climate science lexicon — following Malcolm Gladwell’s 2000 book, “The Tipping Point: How Little Things Can Make a Big Difference” — scientists warned the public not to confuse global warming policy benchmarks with precise thresholds.
The scientific reality of tipping points is more complicated than crossing a temperature line. Instead, different elements in the climate system have risks of tipping that increase with each fraction of a degree of warming.
For example, the beginning of a slow collapse of the Greenland ice sheet, which could raise global sea level by about 24 feet (7.4 meters), is one of the most likely tipping elements in a world more than 1.5 C warmer than preindustrial times. Some models place the critical threshold at 1.6 C (2.9 F). More recent simulations estimate runaway conditions at 2.7 C (4.9 F) of warming. Both simulations consider when summer melt will outpace winter snow, but predicting the future is not an exact science.
Gradients show science-based estimates from the Global Tipping Points Report of when some key global or regional climate tipping points are increasingly likely to be reached. Every fraction of a degree increases the likeliness, reflected in the warming color. Global Tipping Points Report 2025, CC BY-NDForecasts like these are generated using powerful climate models that simulate how air, oceans, land and ice interact. These virtual laboratories allow scientists to run experiments, increasing the temperature bit by bit to see when each element might tip.
Climate scientist Timothy Lenton first identified climate tipping points in 2008. In 2022, he and his team revisited temperature collapse ranges, integrating over a decade of additional data and more sophisticated computer models.
Their nine core tipping elements include large-scale components of Earth’s climate, such as ice sheets, rain forests and ocean currents. They also simulated thresholds for smaller tipping elements that pack a large punch, including die-offs of coral reefs and widespread thawing of permafrost.
The world may have already passed one tipping point, according to the 2025 Global Tipping Points Report: Corals reefs are dying as marine temperatures rise. Healthy reefs are essential fish nurseries and habitat and also help protect coastlines from storm erosion. Once they die, their structures begin to disintegrate. Vardhan Patankar/Wikimedia Commons, CC BY-SA
Some tipping elements, such as the East Antarctic ice sheet, aren’t in immediate danger. The ice sheet’s stability is due to its massive size – nearly six times that of the Greenland ice sheet – making it much harder to push out of equilibrium. Model results vary, but they generally place its tipping threshold between 5 C (9 F) and 10 C (18 F) of warming.
Other elements, however, are closer to the edge.
In the Amazon, self-perpetuating feedback loops threaten the stability of the Earth’s largest rain forest, an ecosystem that influences global climate. As temperatures rise, drought and wildfire activity increase, killing trees and releasing more carbon into the atmosphere, which in turn makes the forest hotter and drier still.
By 2050, scientists warn, nearly half of the Amazon rain forest could face multiple stressors. That pressure may trigger a tipping point with mass tree die-offs. The once-damp rain forest canopy could shift to a dry savanna for at least several centuries.
Rising temperatures also threaten biodiversity underwater.
The second Global Tipping Points Report, released Oct. 12, 2025, by a team of 160 scientists including Lenton, suggests tropical reefs may have passed a tipping point that will wipe out all but isolated patches.
Corals rely on algae called zooxanthellae to thrive. Under heat stress, the algae leave their coral homes, draining reefs of nutrition and color. These mass bleaching events can kill corals, stripping the ecosystem of vital biodiversity that millions of people rely on for food and tourism.
Low-latitude reefs have the highest risk of tipping, with the upper threshold at just 1.5 C, the report found. Above this amount of warming, there is a 99% chance that these coral reefs tip past their breaking point.
Similar alarms are ringing for ocean currents, where freshwater ice melt is slowing down a major marine highway that circulates heat, known as the Atlantic Meridional Overturning Circulation, or AMOC.
A weaker current could create a feedback loop, slowing the circulation further and leading to a shutdown within a century once it begins, according to one estimate. Like a domino, the climate changes that would accompany an AMOC collapse could worsen drought in the Amazon and accelerate ice loss in the Antarctic.
Not all scientists agree that an AMOC or rain forest collapse is close.
In the Amazon, researchers recognize the forest’s changes, but some have questioned whether some of the modeled vegetation data that underpins tipping point concerns is accurate. In the North Atlantic, there are similar concerns about data showing a long-term trend.
The Amazon forest has been losing tree cover to logging, farming, ranching, wildfires and a changing climate. Pink shows areas with greater than 75% tree canopy loss from 2001 to 2024. Blue is tree cover gain from 2000 to 2020. Global Forest Watch, CC BYOther changes driven by rising global temperatures, like melting permafrost, could be reversed. Permafrost, for example, could refreeze if temperatures drop again.
Despite the uncertainty, tipping points are too risky to ignore. Rising temperatures put people and economies around the world at greater risk of dangerous conditions.
But there is still room for preventive actions – every fraction of a degree in warming that humans prevent reduces the risk of runaway climate conditions. Reducing greenhouse gas emissions slows warming and tipping point risks.
Tipping points highlight the stakes, but they also underscore the climate choices humanity can still make to stop the damage.
This article was updated to clarify permafrost discussion.![]()
Alexandra A Phillips, Assistant Teaching Professor in Environmental Communication, University of California, Santa Barbara
This article is republished from The Conversation under a Creative Commons license. Read the original article.