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Climate Change Could Turn Ocean Food into ‘Fast Food’, MIT Study Warns

MIT study finds climate change could shift phytoplankton to low-nutrient “fast-food” forms, impacting marine food webs and global nutrition.

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A warming ocean could shift phytoplankton from nutrient-rich to carbohydrate-heavy forms, reshaping marine food webs and global nutrition.

From nutrient-rich to energy-dense but less nourishing—climate change is transforming the composition of ocean food at its source.

Climate change could fundamentally alter the nutritional foundation of the ocean, with new research suggesting that warming waters may turn phytoplankton—the base of the marine food web—into a form of “fast food” with reduced nutritional value.

A study by researchers at the Massachusetts Institute of Technology (MIT), published in Nature Climate Change, finds that rising ocean temperatures could shift phytoplankton composition from protein-rich to carbohydrate-heavy, particularly in polar regions. This transformation could have cascading effects across marine ecosystems and ultimately impact human food systems.

A Shift at the Base of the Food Chain

Phytoplankton are microscopic, plant-like organisms that form the primary food source for a wide range of marine life, including krill, small fish, and jellyfish. These organisms, in turn, sustain larger species and top predators, including humans.

The study suggests that under continued greenhouse gas emissions through 2100, ocean warming will significantly alter the nutritional profile of these organisms. According to the researchers’ model, phytoplankton in polar regions could shift their balance of proteins to carbohydrates and lipids by approximately 20 percent.

“We’re moving in the poles toward a sort of fast-food ocean,” said lead author Shlomit Sharoni, an MIT postdoctoral researcher, in a media statement. “Based on this prediction, the nutritional composition of the surface ocean will look very different by the end of the century.”

Why Nutritional Composition Matters

While previous research has largely focused on how climate change affects phytoplankton populations, this study highlights a less explored dimension: their internal composition.

“There’s been an awareness that the nutritional value of phytoplankton can shift with climate change,” Sharoni said in a media statement, “But there has been very little work in directly addressing that question.”

Phytoplankton are composed of essential macromolecules such as proteins, carbohydrates, and lipids. These components determine their nutritional value for the organisms that consume them. Any imbalance at this foundational level can ripple through the entire food chain.

“Nearly all the material in a living organism is in these broad molecular forms, each having a particular physiological function, depending on the circumstances that the organism finds itself in,” said Mick Follows, professor at MIT.

Warming Oceans, Changing Chemistry

Using a combination of laboratory data and advanced ocean models, the researchers simulated how phytoplankton respond to changing environmental conditions such as temperature, light, and nutrient availability.

Under current conditions, phytoplankton cells are composed of slightly more than 50 percent protein. However, in future climate scenarios where global temperatures rise by around 3°C, this balance shifts significantly.

In polar regions, reduced sea ice allows more sunlight to penetrate the ocean surface, decreasing the need for light-harvesting proteins. At the same time, warmer temperatures and reduced ocean circulation limit the availability of nutrients such as nitrogen and iron.

As a result, protein levels in phytoplankton could decline by up to 30 percent, while carbohydrates and lipids increase.

Uneven Global Impacts

The effects of this shift are not uniform across the globe.

While phytoplankton populations in polar regions may increase, their nutritional quality is expected to decline. In contrast, subtropical regions could see a reduction in phytoplankton populations by up to 50 percent due to reduced nutrient availability.

In these regions, phytoplankton may adapt by moving to deeper waters, where they can access both light and nutrients, potentially increasing their protein content slightly.

Overall, however, the global trend points toward a more carbohydrate-heavy and less nutrient-dense ocean ecosystem.

Early Signs Already Visible

The researchers compared their model with real-world observations from Arctic and Antarctic regions. The findings indicate that this shift is already underway.

“In these regions, you can already see climate change, because sea ice is already melting,” Sharoni said in a statement. “And our model shows that proteins in polar plankton have been declining, while carbs and lipids are increasing.”

Follows added that the implications extend beyond marine ecosystems.

“It turns out that climate change is accelerated in the Arctic, and we have data showing that the composition of phytoplankton has already responded,” he said in a media statement. “The main message is: The caloric content at the base of the marine food web is already changing. And it’s not a clear story as to how this change will transmit through the food web.”

Implications for Marine Life and Humans

The long-term consequences of this shift remain uncertain. Some species may struggle with reduced protein availability, while others that rely on lipid storage could adapt more easily.

However, scientists warn that any disruption at the base of the marine food chain could have far-reaching impacts on biodiversity, fisheries, and global food security.

As the study highlights, climate change is not only altering how much food the ocean produces—but also how nutritious that food is.

EP Staff is the editorial team at EdPublica, an independent media organisation focused on science, education, environment and public policy. The team produces evidence-based news, features, explainers and analysis on issues that shape society and everyday life.

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What If the Next Disaster Is Worse Than Anything We’ve Seen?

MIT researchers have developed a machine-learning tool that can generate plausible extreme-weather scenarios beyond historical records, offering planners a new way to prepare for unprecedented floods, heatwaves and storms.

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Tornado and lightning over a rural landscape, illustrating the threat of unprecedented extreme events.
A tornado forms beneath a storm cloud as lightning strikes nearby, illustrating the extreme weather scenarios that planners may need to prepare for beyond historical records. Representational image. Image credit: Ralph W. lambrecht/Pexels

The devastating floods in Nepal this month have shown how quickly an extreme event can overwhelm infrastructure, disrupt power systems and create cascading risks. Across the region, India is also dealing with intense monsoon activity, with the India Meteorological Department issuing repeated warnings for heavy to extremely heavy rainfall in several states.

But disaster planners face a harder question: What happens when the next extreme event is worse than anything in the historical record? Historical data is essential for estimating risk, but it cannot provide a blueprint for an event that has never happened before. Researchers at the Massachusetts Institute of Technology (MIT) have developed a machine-learning method that attempts to fill that gap.

Called Extreme Event Aware, or η-learning, the method generates statistically plausible scenarios of unprecedented extreme events without needing examples of such events in its training data.

Climate Extreme Events and Historical records

Traditional risk models often learn from past disasters. But if the event being planned for is more severe than anything previously recorded, there may be little data to work with. For example, if a city’s highest recorded rainfall is 200 millimetres, planners may still need to understand what a plausible 300-millimetre event could look like.

“We are trying to model extreme, unprecedented events that no one has seen before, that are not in the dataset,” said Kai Chang, an MIT graduate student and member of the research team. The new method combines information about how frequently extreme values occur with spatial data showing how weather events are distributed.

Testing an Extreme Storm

The researchers tested the method using 25 years of precipitation data from across the continental United States. They trained the algorithm on spatial data from only the first six months of the record, which contained few or no examples of the most extreme rainfall events. The model then generated plausible scenarios for rainfall events beyond those in its training data.

A planner could use the system to explore a once-in-100-year storm and examine its potential size, intensity and area of impact. The goal is to generate multiple plausible scenarios that can be used to test infrastructure and emergency planning.

India and Climate Extremes

The challenge is relevant to India, where climate risks are already affecting large populations. A 2025 Council on Energy, Environment and Water assessment found that 417 of 734 districts, or 57%, are at high or very high risk from extreme heat. These districts account for about 76% of India’s population. More than 70% of districts have also experienced at least five additional very warm nights per summer compared with the 1982–2011 baseline.

Flood risk is also expected to grow. A World Bank assessment estimates that the area exposed to urban pluvial flooding in India could increase 3.6 to seven times by 2070. The number of urban residents exposed to a 1-in-100-year, 50-centimetre flood could rise from 11.1 million in 2023 to 25.4–46.4 million by 2070, depending on the scenario.

Extreme events and infrastructure
Flood-damaged homes and exposed foundations show how extreme events can overwhelm local infrastructure, leaving buildings, roads and essential services vulnerable to severe weather. Representational image. Image credit: Franklin Peña Gutierrez/Pexels

Preparing for the Worst Case Scenario

A scenario-generation tool could allow planners to examine that possibility, from the size of a flood to the duration of a heatwave, before infrastructure is tested by the real event.

The MIT researchers say the approach could also be applied to wildfires, floods and other complex systems, including financial markets. As climate risks evolve, resilience may increasingly depend not just on preparing for disasters that have happened, but on understanding those that are plausible even when they have never happened before.

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Nepal’s Glacier Disaster Exposes the Unequal Cost of Climate Change

Nepal contributes only about 0.1% of global greenhouse-gas emissions, yet its communities face growing risks from glacier loss, floods and landslides. The latest glacier-related disaster shows how climate vulnerability can fall hardest on countries that have contributed little to global warming.

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Muddy floodwater rushing through a rocky Himalayan stream near a mountain settlement in Nepal
Muddy floodwaters rush through a rocky Himalayan stream in Nepal, reflecting the growing risks faced by mountain communities from floods and other climate-related hazards. Representational image. Image credit: Max Prada Valdivia/Pexels

A glacier collapse in Nepal has set off a chain of floods and landslides along the country’s border with China, killing hundreds of people and leaving thousands missing. Roads and bridges have been swept away, hydropower facilities damaged and a key trade route disrupted. The disaster has also brought an uncomfortable question to the surface. Nepal has contributed very little to the greenhouse-gas emissions driving global warming. Yet the country’s mountains are among the places where a changing climate is being felt most sharply.

Nepal’s disaster authorities said on August 29 that 626 people had died and 2,426 remained missing after the floods on August 26. China has reported seven deaths and hundreds of people missing in Tibet. Bad weather has slowed helicopter operations, while damaged roads and other infrastructure have made it difficult for rescuers to reach some areas.

The disaster began high in the mountains, where a large section of glacier broke away, sending ice, rock and debris into the river system below. The resulting surge tore through valleys in Nepal and Tibet, damaging homes, roads, bridges and other infrastructure. Scientists are still working to establish exactly what caused the glacier to collapse.

That uncertainty is important. There is not enough evidence to say that climate change caused this particular event. But the collapse happened in a Himalayan region that is warming rapidly and losing ice at an accelerating rate.

A Country that Emits Little

Nepal’s share of global greenhouse-gas emissions is about less than 0.1%, according to the World Bank. That is a small contribution when compared with the major economies whose industries, transport systems and energy use account for much larger shares of global emissions. Nepal’s economy has not been built around the kind of large fossil-fuel industries that have driven emissions in many wealthier countries.

Yet geography leaves Nepal unusually exposed. Much of the country lies in the Himalayas, where communities live below steep slopes, glaciers and rivers. Floods, landslides, drought and glacial lake outbursts already pose serious risks. When a hazard begins high in the mountains, its effects can travel quickly into valleys where people live and where roads, hydropower projects and other infrastructure are concentrated.

For Nepal, the problem is therefore not simply how much carbon it emits. It is how much damage it can absorb when the climate and its mountain environment change.

The Himalayas are Changing

The August disaster comes as Nepal’s glaciers undergo a profound transformation. The country’s glaciers have lost nearly one-third of their ice in just over three decades, according to estimates cited by the United Nations. The pace of ice loss in the decade before 2023 was about 65% faster than during the previous decade.

Nepal and glacier melting in Himalayas
Caption: Snow-covered Himalayan peaks in Nepal, part of a mountain landscape undergoing rapid glacier loss as temperatures rise across the region. Image credit: Ashok J khetri/Pexels

As temperatures rise, glaciers retreat and snow and ice patterns change. Mountain slopes can become less stable, while melting ice and changing water flows can alter the risks faced by communities downstream. The danger is not limited to one type of event. A collapse high on a mountain can trigger an avalanche or debris flow, which can block a river, create a temporary lake and set up another flood further downstream.

That sequence is now playing out in the aftermath of the August 26 disaster. The force of the flood damaged infrastructure and changed parts of the river system. New blockages and lakes have also raised concerns about further flooding. For people living in these valleys, the danger does not necessarily end when the first flood passes. Damaged roads can cut off communities from food and medical care. Disrupted water and sanitation systems can create additional health risks. And rebuilding can take months or years.

When Disaster Meets Poverty

Climate risk becomes harder to manage when a country has limited resources to prepare for it. The World Bank estimates that climate impacts could leave Nepal’s economy at least 7% smaller by 2050 if climate risks are not adequately addressed. Floods, landslides, drought and water stress already threaten livelihoods and infrastructure.

The latest disaster shows what those risks look like on the ground. More than 90,000 people need urgent assistance, while UNICEF estimates that about 17,000 children require humanitarian support. Eighteen schools have been destroyed and another 20 damaged. Entire communities have been swept away, leaving survivors in need of shelter and basic supplies.

The damage is also hitting infrastructure that Nepal depends on for its economy. Hydropower plants, roads and the border crossing with China have been affected, disrupting electricity generation, transport and trade. For a country still working to expand access to basic services and economic opportunities, a disaster of this scale creates a difficult trade-off. Money that could have gone towards schools, healthcare, roads or jobs may instead have to be spent repairing what has been destroyed.

The Cost of a Crisis Nepal did Little to Create

Nepal has committed to reaching net-zero emissions by 2045 and sees hydropower as an important part of its development. But Nepal becoming a lower-emissions economy will not, by itself, stop glaciers from retreating or prevent hazards in the Himalayas. The drivers of global warming extend far beyond Nepal’s borders. That makes adaptation critical. Better early-warning systems can give communities more time to move out of harm’s way. Monitoring glaciers and glacial lakes can help identify dangerous changes before they become disasters. Stronger roads, bridges, schools and health facilities can reduce the damage when extreme events occur.

All of this requires money, something that countries with small economies and limited fiscal space do not always have in sufficient amounts. The August disaster does not prove that climate change caused the glacier collapse. But it has occurred against a clear backdrop of rising temperatures and rapid ice loss in the Himalayas.

Nepal’s predicament is therefore larger than this one disaster. The country has contributed only a small amount to the greenhouse gases accumulating in the atmosphere, yet its communities are being asked to cope with a landscape that is becoming harder to predict. The people living beneath the Himalayas did not build the global carbon economy. But they are increasingly having to deal with what it has left behind.

That is where the climate debate becomes tangible, not in emissions charts alone, but in the homes, schools, roads and livelihoods that can disappear when a mountain gives way.

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The Giant Steel Gates Guarding the Netherlands from the Sea

The Maeslantkering is the Netherlands’ giant movable flood barrier, protecting Rotterdam and South Holland while keeping one of Europe’s busiest ports open.

Sebin Pious

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Maeslantkering, the Netherlands’ giant movable storm-surge barrier
The northern section of the Maeslantkering, the Netherlands’ giant movable storm-surge barrier near Rotterdam.. Credit: https://beeldbank.rws.nl, Rijkswaterstaat (Joop van Houdt)

The Maeslantkering uses two enormous movable steel gates to protect Rotterdam and South Holland from extreme storm surges while keeping the river open to ships.

Imagine a wall of water rising from the sea, threatening to flood low lying towns, farmlands, and entire cities. Now picture two massive steel arms, each as long as the Eiffel Tower, floating out from the riverbanks to join together and hold that water back.

This is not a scene from a movie. It is a real piece of infrastructure spanning the Nieuwe Waterweg river channel near Hoek van Holland in the Netherlands. Known as the Maeslantkering, or the Maeslant Barrier, it is the largest movable flood barrier on Earth. For more than three million people living in South Holland, including the port city of Rotterdam, these steel gates are the main defense against extreme ocean storms.

Maeslantkering: Why the Netherlands’ Giant Flood Barrier Matters

Why the Dutch Built a Gate Instead of a Wall The Netherlands has managed water for centuries, as nearly a third of the country sits below sea level. After a devastating North Sea flood in 1953, the Dutch government built a vast network of dams, dikes, and storm surge barriers across the country, known as the Delta Works.

However, the river route leading to Rotterdam created a practical problem. Rotterdam is home to Europe’s largest and busiest seaport. Blocking the river permanently with a fixed dam was impossible because cargo ships need round the clock access. The initial plan was to build higher earthen dikes along the riverbanks. But as engineers examined future sea level projections, they realized standard dikes would have to be enormous. Building them meant demolishing historic neighborhoods and disrupting communities for decades.

The solution was a different approach altogether: a storm surge barrier that stays open during normal weather to keep shipping lanes clear, but swings shut when severe storms approach.

How the Gates Work

The mechanics of the Maeslantkering are straightforward in design, but huge in scale. The barrier relies on two hollow steel gates parked in dry docks on opposite sides of the river.

When a major storm hits, hydraulic engines push the gates out into the waterway, where they float like barges until they meet in the middle. Once aligned, valves open and the gates fill with river water. As they gain weight, they sink onto a concrete bed built into the river floor.

As the gates lower, water rushes underneath them at high speed. This natural currents sweep away sand and silt so the structures rest flat against the riverbed without getting stuck on sediment. When the storm passes and ocean levels drop, pumps empty the water from inside the gates. The buoyant structures float back up and swing back into their docks, reopening the river to maritime traffic.

Automated Controls with Human Oversight

The operation of the Maeslantkering relies heavily on automation. The entire closure process is directed by a specialized computer system called the Decision Support System, known by its Dutch acronym BOS.

The software constantly monitors weather forecasts, incoming tides, and river flow rates. If calculations show water levels will rise 3 meters above normal in Rotterdam, the system initiates the closure process automatically. Leaving the trigger to software removes the risk of human delay or miscalculation during a sudden storm emergency.

Even with automation running the system, human engineers remain on site. Whenever severe weather threatens the coast, a technical team monitors the operations from a nearby control room, ready to take manual control if a system fault occurs.

Balancing Ships, Farms, and Rising Tides

Closing the barrier stops all ship traffic into Rotterdam, so shutting the gates is never done without cause. The barrier only closes during major storm events, though engineers run a routine test closure every September to keep the machinery and operational teams prepared.

As sea levels change and seasonal river flows shift, the Maeslantkering remains a critical piece of Dutch water management. It demonstrates how civil engineering can function alongside natural waterways, protecting millions of residents while keeping an essential trade route open to the world.

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