Saturday, January 24, 2026

 

Study finds fisheries management—not predator recovery—drives catch levels in the North Sea



Analysis supports fisheries policies that balance economic and conservation goals




University of Miami Rosenstiel School of Marine, Atmospheric, and Earth Science

Marine mammal and seabird population changes have contrasting but limited impacts on fisheries catches in the North Sea 

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Harbour seals (Phoca vitulina) basking on a rocky shore. Recent data shows these charismatic marine mammals have surged in the past few decades. However, new research suggests this increased population size remains compatible with sustainable fisheries.

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Credit: Jeremy Kiszka, Ph.D.,Florida International University.





A new research study found that well-managed fisheries can support the recovery of large marine predators such as seals and porpoises, showing that conservation and sustainable seafood production can go hand in hand.

While the impacts of protected species are often debated, the study led by researchers at University of Miami-based Cooperative Institute for Marine and Atmospheric Studies (CIMAS) showed that fishing effort—not predator recovery—is the main driver of fishery yields in the North Sea.

“Our findings offer an important takeaway: fisheries management goals can be achieved without sacrificing conservation goals,” said the study’s lead author Matthew Woodstock, Ph.D., an assistant scientist at CIMAS. “This new evidence can help reframe the conversation around how conservation and economic activity can coexist.”

To conduct the study, the researchers developed a comprehensive ecosystem model of the southern North Sea and eastern English Channel to capture the full marine food web—from microscopic plankton to top predators such as gray seals, harbor porpoises, and seabirds—alongside 12 commercial fishing fleets. The model was grounded in real-world data, drawing on diet studies, fish stock assessments, and fisheries catch records to reflect conditions as accurately as possible.

The analysis found that the recovery of large marine predators does not automatically lead to declines in fishery yields. Although seals and porpoises consumed more fish as their populations increased, these impacts were outweighed by the effects of fisheries management decisions. In these regions, the data suggest that sustainable fisheries and recovering predator populations can coexist when fishing effort is managed effectively.

This study adds new, data-driven insights from one of the world’s most heavily fished regions, showing that increasing seal populations in the southern North Sea have not curtailed fisheries operations.

The findings support ecosystem-based fisheries management—an approach that looks at the entire food web and environment—by demonstrating that predator consumption is often less impactful than human fishing pressure, helping managers balance conservation goals with sustainable seafood production and fishing livelihoods.

The study, titled “Marine mammal and seabird population changes have contrasting but limited impacts on fisheries catches in the North Sea,” was published in the Canadian Journal of Fisheries and Aquatic Sciences.

About the University of Miami and Rosenstiel School of Marine, Atmospheric and Earth Science

 The University of Miami is a private research university and academic health system with a distinct geographic capacity to connect institutions, individuals, and ideas across the hemisphere and around the world. The University’s vibrant academic community comprises 12 schools and colleges serving more than 19,000 undergraduate and graduate students in more than 180 majors and programs. Located within one of the most dynamic and multicultural cities in the world, the University is building new bridges across geographic, cultural, and intellectual borders, bringing a passion for scholarly excellence, a spirit of innovation, and a commitment to tackling the challenges facing our world. The University of Miami is a member of the prestigious Association of American Universities (AAU).

 Founded in 1943, the Rosenstiel School of Marine, Atmospheric, and Earth Science is one of the world’s premier research institutions in the continental United States. The School’s basic and applied research programs seek to improve understanding and prediction of Earth’s geological, oceanic, and atmospheric systems by focusing on four key pillars:

*Saving lives through better forecasting of extreme weather and seismic events. 

*Feeding the world by developing sustainable wild fisheries and aquaculture programs. 

*Unlocking ocean secrets through research on climate, weather, energy and medicine. 

*Preserving marine species, including endangered sharks and other fish, as well as protecting and restoring threatened coral reefs. www.earth.miami.edu.

 

 

SCI-FI-TEK 70 YRS IN THE MAKING

PPPL launches STELLAR-AI platform to accelerate fusion energy research



A new computing platform that pairs artificial intelligence (AI) with high performance computing aims to end the bottleneck holding back fusion energy research by speeding the simulations needed to advance the field.



Princeton University

A colorized photograph of the inside of NSTX-U. 

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A colorized photograph of the inside of NSTX-U.

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Credit: PPPL Communications Department




A new computing platform that pairs artificial intelligence (AI) with high performance computing aims to end the bottleneck holding back fusion energy research by speeding the simulations needed to advance the field. 

The project — known as the Simulation, Technology, and Experiment Leveraging Learning-Accelerated Research enabled by AI (STELLAR-AI ) — will be led by the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL). STELLAR-AI will expand far beyond the Lab’s walls, however, bringing together national laboratories, universities, technology companies and industry partners to build the computational foundation the fusion community needs.

It can take months to run a single high-fidelity computer simulation or to train an artificially intelligent (AI) system capable of designing an ideal fusion system using existing infrastructure. STELLAR-AI is designed to reduce that timeline by using artificial intelligence. The platform connects computing resources directly to experimental devices, including PPPL's National Spherical Torus Experiment-Upgrade (NSTX-U), which is scheduled to go live this year, allowing researchers to analyze data as experiments occur.

Building the Computational Foundation for Fusion

Jonathan Menard, deputy director for research at PPPL, sees STELLAR-AI as a cornerstone of the U.S. fusion ecosystem: a dedicated, AI-driven research environment built specifically for the fusion energy mission. STELLAR-AI will pair speed with precision, accelerating the path to commercially viable fusion power.

“Fusion is a complex system of systems. We need AI and high performance computing to really optimize the design for economic construction and operation,” said Menard. "We want to link simulation technology and experiments — in particular, NSTX-U — with AI and partnerships to get to accelerated fusion.”

STELLAR-AI will achieve this goal by integrating CPUs, GPUs and QPUs in an ideal  configuration of hardware for tackling the challenges facing private fusion companies as they race to bring a solution to market. CPUs, or central processing units, are standard computer chips that handle everyday computing tasks. GPUs, or graphics processing units, are specialized chips that excel at the parallel calculations needed for artificial intelligence. QPUs, or quantum processing units, use the principles of quantum physics to solve certain complex problems that would take traditional computers far longer to complete.

A critical part of the Genesis Mission

STELLAR-AI is part of the Genesis Mission, a national effort launched by executive order in November 2025 to use AI to speed up scientific discovery across DOE laboratories. 

"The Genesis platform is an integrated, ambitious system that will bring together the various unique DOE assets: experimental and user facilities, the supercomputers, data archives and, importantly, the AI models," said Shantenu Jha, head of PPPL's Computational Sciences Department. While Genesis provides that broad infrastructure, STELLAR-AI contributes fusion-specific computer codes, data and scientific models back into the national system. The project also aligns with the DOE's Fusion Science and Technology Roadmap, which calls for building an AI-Fusion Digital Convergence platform to accelerate commercialization of a fusion power plant, achieve U.S. energy dominance, and provide the abundant power needed to drive the next generation of AI and computing.

Researchers plan to use STELLAR-AI for projects that span simulation, design and real-time experiment support. One effort will create a digital twin of NSTX-U: a computer model that mirrors the physical machine so closely that scientists can test ideas virtually before running actual experiments. Another project, called StellFoundry, uses AI to speed the design of stellarators, a type of fusion device with a twisted, pretzel-like shape that some scientists believe could offer advantages over other designs. Stellarator design requires sifting through enormous amounts of data to find the best configurations, a process that traditionally takes months or years and will greatly benefit from the STELLAR-AI platform. 

A Network of Public and Private Partners

The strength of STELLAR-AI lies in PPPL’s partnerships with DOE National Laboratories, AI and HPC companies, academic institutions, as well as fusion and engineering companies. The team includes world-leading capabilities from national laboratories, including PPPL and UKAEA as well as top universities such as Massachusetts Institute of Technology and University of Wisconsin-MadisonPrinceton University, which manages the laboratory for the U.S. DOE's Office of Science, is also a key partner.  Princeton will support operations, research software engineering, and user training for the STELLAR-AI infrastructure. Crucial technical support comes from tech giants like NVIDIA which is providing expertise to improve the performance of several critical fusion codes, and Microsoft, which will federate Azure’s leading cloud capabilities. We also have direct collaboration with the fusion industry, including Commonwealth Fusion SystemsGeneral AtomicsType One Energy and Realta Fusion. This unique combination of partners will deliver proven AI models and key tools for the U.S. fusion industry.

STELLAR-AI is just one of several initiatives that position PPPL as a hub for public-private collaboration in fusion energy. The laboratory's seven decades of plasma research, combined with experimental facilities like NSTX-U and computational expertise, have made it a destination for companies and research institutions seeking to accelerate fusion development. 


PPPL is mastering the art of using plasma — the fourth state of matter — to solve some of the world’s toughest science and technology challenges. Nestled on Princeton University’s Forrestal Campus in Plainsboro, New Jersey, our research ignites innovation in a range of applications including fusion energy, nanoscale fabrication, quantum materials and devices, and sustainability science. The University manages the Laboratory for the U.S. Department of Energy’s Office of Science, which is the nation’s single largest supporter of basic research in the physical sciences. Feel the heat at https://energy.gov/science and https://www.pppl.gov.  

 

Adoption of electric vehicles tied to real-world reductions in air pollution, study finds



Using satellite data, Keck School of Medicine of USC researchers reported the first statistically significant decrease in nitrogen dioxide linked to zero-emissions vehicles





Keck School of Medicine of USC




When California neighborhoods increased their number of zero-emissions vehicles (ZEV) between 2019 and 2023, they also experienced a reduction in air pollution. For every 200 vehicles added, nitrogen dioxide (NO₂) levels dropped 1.1%. The results, obtained from a new analysis based on statewide satellite data, are among the first to confirm the environmental health benefits of ZEVs, which include fully electric and plug-in hybrid cars, in the real world. The study was funded in part by the National Institutes of Health and just published in The Lancet Planetary Health.

While the shift to electric vehicles is largely aimed at curbing climate change in the future, it is also expected to improve air quality and benefit public health in the near term. But few studies have tested that assumption with actual data, partly because ground-level air pollution monitors have limited spatial coverage. A 2023 study from the Keck School of Medicine of USC using these ground-level monitors suggested that ZEV adoption was linked to lower air pollution, but the results were not definitive.

Now, the same research team has confirmed the link with high-resolution satellite data, which can detect NO₂ in the atmosphere by measuring how the gas absorbs and reflects sunlight. The pollutant, released from burning fossil fuels, can trigger asthma attacks, cause bronchitis, and increase the risk of heart disease and stroke.

“This immediate impact on air pollution is really important because it also has an immediate impact on health. We know that traffic-related air pollution can harm respiratory and cardiovascular health over both the short and long term,” said Erika Garcia, PhD, MPH, assistant professor of population and public health sciences at the Keck School of Medicine and the study’s senior author.

The findings offer support for the continued adoption of electric vehicles. Over the study period, ZEV registrations increased from 2% to 5% of all light-duty vehicles (a category that includes cars, SUVs, pickup trucks and vans) across California, suggesting that the potential for improving air pollution and public health remains largely untapped.

“We’re not even fully there in terms of electrifying, but our research shows that California’s transition to electric vehicles is already making measurable differences in the air we breathe,” said the study’s lead author, Sandrah Eckel, PhD, associate professor of population and public health sciences at the Keck School of Medicine.

Tracking neighborhood air quality

For the analysis, the researchers divided California into 1,692 neighborhoods, using a geographic unit similar to zip codes. They obtained publicly available data from the state’s Department of Motor Vehicles on the number of ZEVs registered in each neighborhood. ZEVs include full-battery electric cars, plug-in hybrids and fuel-cell cars, but not heavier duty vehicles like delivery trucks and semi-trucks.

Next, the research team obtained data from the Tropospheric Monitoring Instrument (TROPOMI), a high-resolution satellite sensor that provides daily, global measurements of NO₂ and other pollutants. They used this data to calculate annual average NO₂ levels in each California neighborhood from 2019 to 2023.

Over the study period, a typical neighborhood gained 272 ZEVs, with most neighborhoods adding between 18 and 839. For every 200 new ZEVs registered, NO₂ levels dropped 1.1%, a measurable improvement in air quality.

“These findings show that cleaner air isn’t just a theory—it’s already happening in communities across California,” Eckel said.

Electric vehicles and public health

To confirm that these results were reliable, the researchers conducted several additional analyses. They accounted for pandemic-related changes as a contributor to NO₂ decline, such as excluding the year 2020 and controlling for changing gas prices and work-from-home patterns. The researchers also confirmed that neighborhoods that added more gas-powered cars saw the expected rise in pollution. Finally, they replicated their results using updated data from ground-level monitors from 2012 to 2023.

“We tested our analysis in many different ways, and the results consistently support our main finding,” Garcia said.

These results show that TROPOMI satellite data—which covers nearly the entire planet—can reliably track changes in combustion-related air pollution, offering a new way to study the effects of the transition to electric vehicles and other environmental interventions.

Next, Garcia, Eckel and their team are comparing data on ZEV adoption with data on asthma-related emergency room visits and hospitalizations across California. The study could be one of the first to document real-world health improvements as California continues to embrace electric vehicles.

About this research

In addition to Garcia and Eckel, the study’s other authors are Futu Chen, Sam J. Silva and Jill Johnston from the Department of Population and Public Health Sciences, Keck School of Medicine of USC, University of Southern California; Daniel L. Goldberg from the Milken Institute School of Public Health, The George Washington University; Lawrence A. Palinkas from the Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego; and Alberto Campos and Wilma Franco from the Southeast Los Angeles Collaborative.

This work was supported by the National Institutes of Health/National Institute of Environmental Health Sciences [R01ES035137, P30ES007048]; the National Aeronautics and Space Administration Health and Air Quality Applied Sciences Team [80NSSC21K0511]; and the National Aeronautics and Space Administration Atmospheric Composition Modeling and Analysis Program [80NSSC23K1002].