Tuesday, April 22, 2025

DEI IS MERIT

The Frontiers of Knowledge Award goes to Camille Parmesan for demonstrating the impact of climate change on the geographical displacement of species round the globe



The BBVA Foundation award recognizes the American scientist's pioneering studies showing that wild species shift their geographical ranges polewards and upwards to escape rising temperatures




BBVA Foundation

Camille Parmesan, winner of the BBVA Foundation Frontiers of Knowledge Award in Climate Change and Environmental Sciences. 

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Camille Parmesan, winner of the BBVA Foundation Frontiers of Knowledge Award in Climate Change and Environmental Sciences.

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Credit: BBVA FOUNDATION




The BBVA Foundation Frontiers of Knowledge Award in Climate Change and Environmental Sciences goes in this seventeenth edition to Camille Parmesan (Centre National de la Recherche Scientifique, France; University of Texas, United States; and University of Plymouth, United Kingdom) for her pioneering studies showing that “wild species shift their geographical ranges in response to climate change,” said the committee in its citation.

In the mid 1990s, the awardee showed that several butterfly species in the United States and Europe were moving northwards and upward to escape rising temperatures. Over the next three decades, she expanded on this work to show that the same climate change impact was being felt by thousands of plant and animal species worldwide both on land and in the oceans.

Professor Parmesan was thus able to establish that rising temperatures had left a “globally coherent fingerprint” on biodiversity. An insight, said the committee, that “underpins climate change ecology,” one of the research fields most strongly to the fore in combatting the environmental crisis.

Her research has provided vital input to the design of effective conservation strategies “adopted by governments and agencies around the world” that factor species displacements due to global warming; among them, the creation of corridors to connect habitats, assisted migrations and protected areas that provide a refuge for wildlife affected by rising temperatures.

Born in Houston, Parmesan completed her higher education and held her first academic posts at the University of Texas at Austin (United States). She then moved to the Britain, to the University of Plymouth, and subsequently, in 2017, settled in France, taking up an appointment at the Theoretical and Experimental Ecology Station of the Centre National de la Recherche Scientifique (CNRS) as an awardee in the first edition of the Make Our Planet Great Again, an initiative launched by French President Emmanuel Macron to promote research in climate change and Earth sciences.

Parmesan’s work has “major ramifications for global public health, due to the polewards expansion of tropical diseases like malaria or dengue that are transmitted by mosquitos, as well as for sectors such as agriculture and fisheries, which will need to come to terms with the warming-driven migrations of terrestrial and marine species,” explains committee secretary Carlos Duarte, holder of the Tarek Ahmed Juffali Research Chair in Red Sea Ecology at King Abdullah University of Science and Technology (Saudi Arabia). “A case in point is the wine industry, where growers are already starting to plant vines at higher elevations to improve production in the face of the changes brought by rising temperatures.”

“Professor Parmesan has also led the field in the application of what we now know as big data analytics. Seeking to extrapolate her initial findings on butterfly species to a global scale, she analyzed the literature on thousands of animals and plants to identify consistent trends in species displacement in response to rising temperatures. It is in this respect that we can call her work a cornerstone of climate change ecology,” adds committee member Pedro Jordano, a Research Professor in the Department of Integrative Ecology at Doñana Biological Station-CSIC.

The birth of climate change ecology

Camille Parmesan began her research career studying plant-insect interactions. She was nearing the end of her PhD course when she responded to a NASA grant call with an “extremely risky” proposal to study the impact of climate change on Edith’s checkerpoint butterfly (Euphydryas editha), known to be sensitive to climate variability. At that time, in the early 1990s, scientists were already expecting that increased atmospheric CO2 would drive up temperatures globally, although the warming trend was yet to make itself felt. But Parmesan’s years of experience with the checkerspot got her thinking: “Maybe this little butterfly is a better indicator than any thermometer.”

Traveling the west coast of North America, from Mexico to Canada, she found places in the south (such as Baja California) where the habitat was as well preserved as further north in Canada. But while in Mexico almost all the butterfly’s populations were extinct, in Canada they were mainly thriving. Parmesan, in effect, had found a far simpler pattern than she expected: the butterfly was settling in higher and higher latitudes and elevations. But, more important still, she established that this trend bore no relation to the quality of their habitat in each location. Stripping out data from the zones where habitat degradation was present, she was able to isolate the climate change effect and tease it apart from other possible drivers like habitat loss, pollution or fertilizer use. She published her findings in 1996 in a single-author paper in the journal Nature.

“I think that was a truly innovative leap in ecology research,” she recalls today, reflecting on her decision to opt for analysis of observational data over the experimental approaches then in vogue. “The question of whether a change in climate has globally affected a wild species is not something you can address using experiments. I knew it was not enough just to show a change. I needed to be able to say this change is definitively linked to climate change and not all the other things that humans are doing.” The sheer breadth of her data and the inductive reasoning she used to rule out all other effects and attribute the extinction patterns of Edith’s checkerspot butterfly exclusively to climate change were precisely the factors that convinced the research community that the impact of rising temperatures on wild species was real, and, in the process, brought into being the new field of climate change ecology.

The “globally coherent fingerprint” of temperature increase

She then set out to test the effect on other butterfly species, this time in Europe. Ignoring the criticism from certain researchers whose study environments were too small for them to observe the patterns Parmesan was seeing, she travelled from Spain to Finland collecting data as she went that pointed firmly to just one conclusion: that two-thirds of the species studied were moving northward. As an early participant in the work of the U.N.’s Intergovernmental Panel on Climate Change (IPCC), her next step was to scale up these attribution studies to thousands of animal species both on land and in the oceans.

Again the methodology she chose was a challenge to the prevailing wisdom, and the arguments that ensued with her fellow biologists and even economists on how to ground climate change attribution in robust criteria led to her 2003 paper in Nature, written with economist Gary Yohe. A few years later, this paper would become the most cited of all time in the climate change field, with a current tally of 14,000 citations, on the strength, says the scientist, of “taking observational data and subjecting it to a rigorous analysis.”

The impact achieved with the paper led other research groups, working with species virtually unknown to Parmesan, to enlist her help in identifying the “globally coherent fingerprint of climate change,” as the awardee refers to it, in broader and broader groups of species. The result of one such collaboration was the 2013 paper appearing in Nature Climate Change on marine species worldwide.

The researcher has lately returned her attention to Edith’s checkerspot butterfly in light of signs that it may be evolving in real time in response to climate change. “This is not necessarily a good thing,” she points out, “because it’s evolving to deal with soil that’s getting too hot by laying its eggs further north and higher up, but that’s making it susceptible to other pressures.”

In fact, the last few years have witnessed the first extinctions linked directly to climate change, like that of the rodent Melomys rubicola or the golden toad (Incilius periglenes). “It’s all ramping up,” says a concerned Parmesan. “And we’re seeing changes at a pace that really I would not have predicted 10 or 20 years ago.”

Lessons for biodiversity, agriculture and fisheries

After publishing her paper on attribution methodology – based on the analysis of 1,700 species – Parmesan decided it was time to take the message to conservation biology forums: “Climate change is above and beyond all of those local things, like invasive species or habitat destruction, because it’s an ever-driving force that is pushing the system in one direction all the time. And if you ignore it, you will drive everything extinct in areas where you’re trying to protect them.”

In consonance with this view, she contends that conservation strategies should not target a particular species but rather biodiversity in general. There will be species, like the polar bear, who are undoubtedly heading for extinction, so isn’t it better, she argues, to have it hybridize with other species, like the grizzly, rather than try to preserve it in its pure form. “By going ahead and letting these hybridizations happen, you’re keeping those genes in the pool, so if we ever stabilize climate and start cooling it down again, then you’ve got genes around that can then re-evolve some of these cold-adaptive species. If we do the opposite and stop them from happening, we are going to lose a lot of genetic diversity.”

In the near term, the awardee explains, we will see climate change impact more and more directly on agricultural and fishing systems, whether farmed or wild: “Where you can grow things is shifting, and farmers have already realized this. And fishermen are noticing that the species they catch are not the same as before. Not only that, diseases too are moving polewards. There are even pathogens that are remerging as the Arctic ice melts. For instance, cases of anthrax have been found among the reindeer that form part of the diet of Inuit populations. The animals, it turns out, contracted the disease when the bacteria that causes it was released into the atmosphere as the tundra thawed. Then you have the fact that higher atmospheric CO₂ is lowering the nutritional value of crops, which is something that’s starting to worry dieticians.”

Nominators

A total of 102 nominations were received in this edition. The awardee researcher was nominated by Elvira Poloczanska, Science Advisor to the Working Group II Co-Chairs and Technical Support Unit of the Intergovernmental Panel on Climate Change, and David Schoeman, Professor of Global-Change Ecology in the School of Science, Technology and Engineering of the University of the Sunshine Coast (Australia).

Climate Change and Environmental Sciences committee and evaluation support panel

The committee in this category was chaired by Bjorn Stevens, Director of the Max Planck Institute for Meteorology (Hamburg, Germany), with Carlos Duarte, holder of the Tarek Ahmed Juffali Research Chair in Red Sea Ecology at King Abdullah University of Science and Technology (Saudi Arabia), and Frontiers of Knowledge Award laureate in Ecology and Conservation Biology (12th edition), acting as secretary.

Remaining members were Emily Bernhardt, James B. Duke Distinguished Professor and Chair of the Department of Biology at Duke University (United States); Miquel Canals, Director of the Sustainable Blue Economy Chair at the University of Barcelona (Spain); Kerry Emanuel, Cecil & Ida Green Professor of Atmospheric Science at the Massachusetts Institute of Technology (United States) and Frontiers of Knowledge Award laureate in Climate Change (12th edition); José Manuel Gutiérrez, Director of the Institute of Physics of Cantabria (IFCA), CSIC-University of Cantabria (Spain), Pedro Jordano, Research Professor in the Department of Integrative Ecology at Doñana Biological Station, CSIC, and Associate Professor in the Department of Plant Biology and Ecology at the University of Seville (Spain); Rik Leemans, Emeritus Professor in Environmental Systems Analysis at Wageningen University & Research (The Netherlands); Ning Lin, Professor of Civil and Environmental Engineering at Princeton University (United States); and Edward S. Rubin, Alumni Chair Professor of Environmental Engineering and Science Emeritus at Carnegie Mellon University (United States).

The evaluation support panel charged with nominee pre-assessment was coordinated by Elena Cartea, Deputy Vice-President of Scientific-Technical Areas at the Spanish National Research Council (CSIC) and Teresa Moreno Pérez, Deputy Coordinator of the Life Global Area and Research Professor at the Institute of Environmental Assessment and Water Research (IDAEA, CSIC); and formed by Josep M. Gasol Piqué, Research Professor at the Institute of Marine Sciences (ICM, CSIC); Ernesto Igartua Arregui, Deputy Coordinator of the Life Global Area and Scientific Researcher at the Aula Dei Experimental Station (EEAD, CSIC); Ana M. Traveset Vilagines, Research Professor at the Mediterranean Institute for Advanced Studies (IMEDEA, CSIC-UIB); and Sergio Vicente Serrano, Research Professor at the Pyrenean Institute of Ecology (IPE, CSIC).

 

Using blue light to fight drug-resistant infections



University of Oklahoma researchers use blue light and iron to create bioactive sugars to develop novel antibiotics against multi-drug-resistant infections in cancer patients



University of Oklahoma

Indrajeet Sharma 

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Indrajeet Sharma using blue light for research.

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Credit: Travis Caperton





NORMAN, OKLA. – Researchers at the University of Oklahoma have made a breakthrough discovery that could potentially revolutionize treatments for antibiotic-resistant infections, cancer and other challenging gram-negative pathogens without relying on precious metals.

Currently, precious metals like platinum and rhodium are used to create synthetic carbohydrates, which are vital components of many approved antibiotics used to combat gram-negative pathogens, including Pseudomonas aeruginosa, a notorious hospital-acquired infection responsible for the deaths of immunocompromised patients. However, these elements require harsh reaction conditions, are expensive to use and are harmful to the environment when mined. In an innovative study published in the journal Nature Communication, an OU team led by Professor Indrajeet Sharma has replaced these precious metals with either blue light or iron, achieving similar results with significantly lower toxicity, reduced costs, and greater appeal for researchers and drug manufacturers.

By using abundant, inexpensive, iron or metal-free, non-toxic blue light, the team can more easily and rapidly synthesize these important carbohydrates. Since most antibiotics rely on a carbohydrate molecule to penetrate the thin, external layer of the gram-negative bacteria, this discovery could transform the way doctors treat multi-drug-resistant pathogens.

“Drug-resistant infections are a major problem and are expected to rise unless something is done,” Sharma said. “By using our methods to make late-stage drug modifications, synthetic carbohydrate-based antibiotics could help treat these infections. Furthermore, since carbohydrates can also increase a drug’s solubility, they can be easily deployed as a pro-drug that a patient can simply take it with water.”

A pro-drug is a medication that it less active when administered and metabolized into its active form. To help drug molecules last longer in the body and work more effectively, Sharma’s team is exploring ways to attach specially designed sugars or unnatural sugar to them. They are using a unique blue light-based method, developed by Surya Pratap Singh, a lead researcher and doctoral student in Dr. Sharma’s lab, that does not require metals.

“If a drug molecule is broken down too quickly, it loses its potency. By replacing an oxygen atom in the carbohydrate molecule with a sulfur one, enzymes in the human body won’t recognize the molecule as a carbohydrate and won’t break it down as quickly,” Sharma said. “These modified compounds, commonly called thiosugars, could be used to more effectively treat infections and diseases like cancer.”

Working with OU professor Helen Zgurskaya, the team is also exploring whether their process can help her research on Pseudomonaa aeruginosa, a widespread, hospital-acquired drug-resistant pathogen commonly found in immunocompromised patients.

Pseudomonas is a very persistent infection that is responsible for a large number of deaths in cancer patients,” he said. “Currently, compounds identified in the Zgurskaya lab for Pseudomonas are inactive. We believe this is because they cannot cross the thin outer lipid layer of the gram-negative pathogen. By attaching our synthesized carbohydrate molecule to her lead compounds, we hope to achieve potency against pathogens like Pseudomonaa aeruginosa. Time will tell.”

Learn more about other research from the Sharma Laboratory and read recently published research on drug discovery from OU.

 

About the project

“Fe(OTf)3 or Photosensitizer-Free Blue Light Activated Diazo- Thioglycoside Donors for Iterative and Stereoselective Glycosylations” is published in the journal Nature Communications, DOI no. 10.1038/s41467-025-56445-1Sharma is an associate professor of chemistry and biochemistry in the OU Dodge Family College of Arts and Sciences. In addition to Singh, other co-authors include graduate student Umesh Chaudhary and undergraduate Adrienne Daróczi. Helez Zguyskaya is a George Lynn Cross Research Professor in the OU Department of Chemistry and Biochemistry. This research was funded by a grant from the National Science Foundation, Award no. NSF-CHE-1753187.

UH OH!

Researchers find first evidence of potential bed bug insecticide resistance in gene mutation


USE PROPANE HEAT FANS INSTEAD




Virginia Tech





A global infestation of bed bugs after World War II was nearly eradicated in the 1950s with the use of the pesticide dichloro-diphenyl-trichloroethane, commonly known as DDT, a chemical that has since been banned. Since then, this urban pest has been enjoying a resurgence in populations globally and has displayed resistance to an array of insecticides used for their control.

A study published in the Journal of Medical Entomology detailed how a team of Virginia Tech researchers, led by urban entomologist Warren Booth, discovered a gene mutation that could contribute to that insecticide resistance.  

The findings came as a result of a study Booth set up for graduate student Camille Block as a means to build up her molecular research skills. 

“It was purely a fishing expedition,” said Booth, the Joseph R. and Mary W. Wilson Urban Entomology Associate Professor in the College of Agriculture and Life Sciences.

But Booth had a good idea about where the best fish were swimming and knew where to cast a line.

Specializing in urban pests, Booth was already aware of a gene mutation in the nerve cells of German cockroaches and white flies that confers their resistance to insecticides. Booth suggested that Block analyze one bed bug as a sample from each of the 134 unique populations of bed bugs, which were collected by pest control companies in North America from 2008-22, to see if they had the same cell mutations. Two bugs from two separate populations did. 

“It [the discovery] was literally my last 24 samples,” said Block, who is studying entomology and is an affiliate with the Invasive Species Collaborative. “I’ve never done any kind of molecular work before, so getting all these molecular skills was super important.”

Due to the genetic uniformity within bed bug infestations resulting from extensive inbreeding, one specimen per sample is generally representative of that population. But Booth wanted to make sure Block had actually discovered the mutation, so they examined all specimens in the two identified populations.

“When we went back and screened multiple individuals from the two populations, every one of them had the mutations,” Booth said. “So they were fixed for these mutations, and it’s the same mutation that we find in German cockroaches.”

Through his work with German cockroaches, Booth knows that their resistance to insecticides is from a gene mutation in the cells of the nervous system and these mechanisms are environmentally driven.

“There is a gene that’s known as the Rdl gene. It’s been identified in a lot of other pest species, and it’s associated with resistance to an insecticide called dieldrin,” said Booth, an affiliate of the Fralin Life Sciences Institute. “That mutation is throughout all of the German cockroaches. We’re not finding populations without that mutation, which is kind of amazing.”

According to Booth, fipronil and dieldrin – pesticides that have proven effective against bed bugs in the laboratory – have the same mode of action, so the mutation theoretically enables the pests to be resistant to both pesticides. Dieldrin has been banned since the 1990s, but fipronil is currently used in spot treatments for dog and cat flea control – not to control bed bugs.

Booth suspects that many pet owners who use fipronil spot treatment on their animals allow their dogs or cats to sleep with them, which exposes their bedding to fipronil residue. If any bed bugs came into that environment, they would have been subjected to the fipronil inadvertently and then selected for that mutation in the population.

“We don’t know if that mutation is novel and it popped up after that, or in that time frame, or whether it was occurring in populations 100 years ago,” Booth said. 

The next step is to cast a wider net and look for those mutations in different regions of the world, particularly Europe, as well as different time periods in museum specimens, because bed bugs have been around for over a million years. 

In November 2024, the Booth lab was the first to successfully sequence the entire common bed bug genome.

“This is the first time that the bug genome has been sequenced,” Booth said. “Now that we have that, we can go to these museum specimens.”

Booth pointed out that the problem with museum DNA is it degrades really quickly in the small fragments, but now that researchers have chromosome-level templates, they can take those fragments and align them back to those chromosomes and reconstruct genes and genomes.

Booth points out that his lab works with pest control companies, so their genetic sequencing efforts may help them gain a better understanding of where bed bugs are located globally and how to help in eradicating them.

Now that Block has honed her molecular skills, she is excited to continue her work with urban evolution.

“I love evolution. I think it is so interesting,” Block said. “People feel more connected to these urban species, and I think it’s easier to get people interested in bed bugs as it is something they may have personally experienced.”

Lindsay Miles, a postdoctoral fellow in the Department of Entomology, was another Virginia Tech member of Booth’s research team.

Original Study: Doi.org/10.1093/jme/tjaf033
Original Study: Doi.org/10.1093/jhered/esae071 

ME/CFS cases in England much higher than first projected

 ME/CFS (myalgic encephalomyelitis/chronic fatigue syndrome)


University of Edinburgh





There are almost two-thirds more people living with ME/CFS in England than previously thought, a study says.

The new estimate suggests that approximately 404,000 people are affected by ME/CFS (myalgic encephalomyelitis/chronic fatigue syndrome), a 62 per cent rise from the previously accepted figure of 250,000.

Researchers also found that people of Chinese, Asian/Asian British, and black/black British ethnicities are substantially less likely to be diagnosed with ME/CFS than white British people.

Experts say the findings highlight that receiving a ME/CFS diagnosis is a “lottery” depending on ethnicity and location.

Improved training of medical professionals and research into identifying accurate diagnostic tests for the long-term debilitating illness should be prioritised as a result, they add.

ME/CFS’ key feature, called post-exertional malaise, is a delayed dramatic worsening of symptoms following minor physical effort. Other symptoms include pain, brain fog and extreme energy limitation that does not improve with rest. Causes are unknown and there is currently no diagnostic test or cure.

Researchers from the University of Edinburgh used NHS data from more than 62 million people in England to identify those diagnosed with ME/CFS or post-viral fatigue syndrome.

They examined the data by gender, age, and ethnicity, and grouped it by different areas of England.

The study found that lifetime prevalence of ME/CFS for the population of women and men in England may be as high as 0.92 per cent and 0.25 per cent, respectively, or approximately 404,000 people overall.

The previous estimate of 250,000 came from the UK Biobank population which contains disproportionately more people who are in better health.

Prevalence of ME/CFS varied widely across England, with Cornwall and the Isles of Scilly having the highest rates, while North West and North East London reported the lowest.

The condition peaked around the age of 50 for women and a decade later for men, with women six times more likely to have it than men in middle age.

Researchers also found that ME/CFS prevalence varies greatly by ethnicity. White people are almost five times more likely to be diagnosed than those from other ethnic groups.

This pattern is consistent across all regions and for both women and men. People of Chinese, Asian/Asian British, and black/black British backgrounds are significantly less likely to be diagnosed with ME/CFS, with rates 90 to 65 per cent lower than white people. The difference is more pronounced than for other conditions like dementia or depression, experts say.

The study is published in medical journal BMC Public Health. It was funded by the National Institute for Health and Care Research, the Medical Research Council and the charity ME Research UK.

Professor Chris Ponting, study lead from the MRC Human Genetics Unit at the University of Edinburgh’s Institute of Genetics and Cancer, said: “The NHS data shows that getting a diagnosis of ME/CFS in England is a lottery, depending on where you live and your ethnicity. There are nearly 200 GP practices – mostly in deprived areas of the country – that have no recorded ME/CFS patients at all. The data backs up what many people with ME/CFS say: that they feel invisible and ignored.”

Gemma Samms, ME Research UK-funded PhD student, said: “People struggle to get diagnosed with ME/CFS. Diagnosis is important, because it validates their symptoms and enables them to receive recognition and support. Our results should now lead to improved training of medical professionals and further research into accurate diagnostic tests.”

 

Smart skies: new methods for UAVs to navigate where GPS fails




Aerospace Information Research Institute, Chinese Academy of Sciences
Comparison of TERCOM and DSMAC Localization Techniques. 

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The image illustrates two different localization techniques for UAV navigation in GPS-denied environments: TERCOM (Terrain Contour Matching) on the left, which uses pre-mapped terrain data for absolute localization, and DSMAC (Digital Scene Matching Area Correlation) on the right, which compares real-time terrain data to a stored database. While TERCOM is effective in areas with distinguishable features, DSMAC provides more flexibility, particularly in dynamic and featureless environments.

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Credit: Satellite Navigation





Navigating drones in environments without reliable Global Positioning System (GPS) signals remains a significant challenge for modern aerospace technology. A new study addresses methods for Unmanned Aerial Vehicle (UAV) localization in GPS-denied areas, exploring both absolute and relative localization techniques. The research underscores the potential of vision-based systems and the importance of hybrid approaches that integrate various sensors and algorithms. This work not only enhances our understanding of UAV navigation in complex terrains but also outlines a path for real-time, reliable operations in GPS-denied environments, crucial for applications like disaster response, surveillance, and autonomous delivery.

Global Navigation Satellite Systems (GNSS), such as Global Positioning System (GPS) , are fundamental for Unmanned Aerial Vehicle (UAV) navigation, but their effectiveness diminishes in urban canyons, indoor spaces, or hostile environments where signals are obstructed or jammed. Traditional reliance on GPS leaves drones vulnerable to disruptions, whether from tall buildings, weather conditions, or cyberattacks. While alternatives like inertial sensors and LiDAR show promise, they often struggle with drift and computational demands. Vision-based and terrain-aided systems could offer viable solutions, but they need further refinement to adapt to dynamic environments. This highlights the pressing need for robust multi-sensor fusion frameworks to enable autonomous and safe UAV operations in GPS-denied areas.

Published (DOI: 10.1186/s43020-025-00162-z) on April 7, 2025, in Satellite Navigation, a research team from Prince Sultan University provides a comprehensive review of UAV navigation in GPS-denied environments. The review evaluates 132 papers, focusing on absolute and relative localization techniques, including vision-based systems, LiDAR, and terrain-aided algorithms. By examining computational efficiency and sensor fusion, the research identifies hybrid approaches as the most reliable solution for UAV navigation. This work bridges significant gaps in existing technologies, offering practical insights for real-world applications where GPS signals are unavailable.

The review examines two primary methods for UAV navigation in GPS-denied areas: absolute localization, which uses pre-mapped terrain data (e.g., TERCOM and DSMAC), and relative localization methods like SLAM (Simultaneous Localization and Mapping) and visual-inertial odometry that rely on real-time sensor data. While absolute methods face limitations in featureless environments, relative techniques offer adaptability but require significant computational resources. Vision-based systems, particularly when enhanced with AI for feature recognition, hold considerable promise, though lighting conditions remain a challenge. The research emphasizes the importance of sensor fusion, demonstrating that combining LiDAR, radar, and inertial measurements, alongside advanced filtering techniques such as Kalman filters, can substantially improve navigation reliability. Furthermore, real-time processing is crucial, with hardware accelerators like GPUs and optimized algorithms (such as LSTM networks) enabling faster data analysis and decision-making. While hybrid systems combining terrain maps with live SLAM data offer a balance of accuracy and flexibility, the study acknowledges the need for further refinement to scale these solutions across various environments. Advancements in AI processing power and edge computing will be key to fully autonomous UAV operations in unpredictable real-world conditions.

Dr. Imen Jarraya, lead author of the study, emphasized, "No single sensor or algorithm can solve all the challenges of GPS-denied navigation. Our research shows that combining absolute and relative localization with multi-sensor fusion is the key to achieving reliable UAV navigation. Future work must focus on optimizing these systems to handle the unpredictability of environments ranging from dense urban areas to remote disaster zones."

This research holds significant implications for industries relying on UAVs, such as logistics, agriculture, and defense. UAVs delivering medical supplies to remote or disaster-stricken areas could operate without GPS, and military drones could navigate in signal-jammed regions. The study also points to the need for regulatory frameworks to standardize these technologies, ensuring their safe and efficient integration into future infrastructures. As UAVs become integral to smart cities and infrastructure inspection, overcoming the limitations of GPS will ensure safer, more effective operations. These findings encourage further investment in AI-driven navigation and collaborative research to refine these systems for global use.

###

References

DOI

10.1186/s43020-025-00162-z

Original Source URL

https://doi.org/10.1186/s43020-025-00162-z

Funding information

The research was funded by PSDSARC seed project number (PSDSARC Project ID: PID-000085_01_02), and the APC was funded by PSU.

About Satellite Navigation

Satellite Navigation (E-ISSN: 2662-1363; ISSN: 2662-9291) is the official journal of Aerospace Information Research Institute, Chinese Academy of Sciences. The journal aims to report innovative ideas, new results or progress on the theoretical techniques and applications of satellite navigation. The journal welcomes original articles, reviews and commentaries.