To better characterize “The Great Dying,” the team sought to understand why communities didn’t recover as quickly as other mass extinctions. The main reason was that the end-Permian crisis was much more severe than any other mass extinction, wiping out 19 out of every 20 species. With survival of only 5% of species, ecosystems had been destroyed, and this meant that ecological communities had to reassemble from scratch.

To investigate, lead author and Academy researcher Yuangeng Huang, now at the China University of Geosciences, Wuhan, reconstructed food webs for a series of 14 life assemblages spanning the Permian and Triassic periods. These assemblages, sampled from north China, offered a snapshot of how a single region on Earth responded to the crises. “By studying the fossils and evidence from their teeth, stomach contents, and excrement, I was able to identify who ate whom,” says Huang. “It’s important to build an accurate food web if we want to understand these ancient ecosystems.”

The food webs are made up of plants, molluscs, and insects living in ponds and rivers, as well as the fishes, amphibians, and reptiles that eat them. The reptiles range in size from that of modern lizards to half-ton herbivores with tiny heads, massive barrel-like bodies, and a protective covering of thick bony scales. Sabre-toothed gorgonopsians also roamed, some as large and powerful as lions and with long canine teeth for piercing thick skins. When these animals died out during the end-Permian mass extinction, nothing took their place, leaving unbalanced ecosystems for ten million years. Then, the first dinosaurs and mammals began to evolve in the Triassic. The first dinosaurs were small — bipedal insect-eaters about one meter long — but they soon became larger and diversified as flesh- and plant-eaters.

“Yuangeng Huang spent a year in my lab,” says Peter Roopnarine, Academy Curator of Geology. “He applied ecological modelling methods that allow us to look at ancient food webs and determine how stable or unstable they are. Essentially, the model disrupts the food web, knocking out species and testing for overall stability.”

“We found that the end-Permian event was exceptional in two ways,” says Professor Mike Benton from the University of Bristol. “First, the collapse in diversity was much more severe, whereas in the other two mass extinctions there had been low-stability ecosystems before the final collapse. And second, it took a very long time for ecosystems to recover, maybe 10 million years or more, whereas recovery was rapid after the other two crises.”

Ultimately, characterizing communities — especially those that recovered successfully — provides valuable insights into how modern species might fare as humans push the planet to the brink.

“This is an amazing new result,” says Professor Zhong-Qiang Chen of the China University of Geosciences, Wuhan. “Until now, we could describe the food webs, but we couldn’t test their stability. The combination of great new data from long rock sections in North China with cutting-edge computational methods allows us to get inside these ancient examples in the same way we can study food webs in the modern world.”

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Materials provided by California Academy of Sciences. Note: Content may be edited for style and length.

In a study published in Nano Letters, physicists from Michigan Technological University explore alternative materials to improve capacity and shrink the size of digital data storage technologies. Ranjit Pati, professor of physics at Michigan Tech, led the study and explains the physics behind his team’s new nanowire design.

“Thanks to a property called spin, electrons behave like tiny magnets,” Pati said. “Similar to how a bar magnet’s magnetization is dipolar, pointing from south to north, the electrons in a material have magnetic dipole moment vectors that describe the material’s magnetization.”

When these vectors are in random orientation, the material is nonmagnetic. When they are parallel to each other, it’s called ferromagnetism and antiparallel alignments are antiferromagnetism. Current data storage technology is based on ferromagnetic materials, where the data are stored in small ferromagnetic domains. This is why a strong enough magnet can mess up a mobile phone or other electronic storage.

Depending on the direction of magnetization (whether pointing up or down), data are recorded as bits (either a 1 or 0) in ferromagnetic domains. However, there are two bottlenecks, and both hinge on proximity. First, bring an external magnet too close, and its magnetic field could alter the direction of magnetic moments in the domain and damage the storage device. And, second, the domains each have a magnetic field of their own, so they can’t be too close to each other either. The challenge with smaller, more flexible, more versatile electronics is that they demand devices that make it harder to keep ferromagnetic domains safely apart.

“Ultrahigh-density data packing would be a daunting task with ferromagnetic memory domains,” Pati said. “Antiferromagnetic materials, on the other hand, are free from these issues.”

On their own antiferromagnetic materials aren’t great for electronic devices, but they’re not influenced by outside magnetic fields. This ability to resist magnetic manipulation started getting more attention from the research community and Pati’s team used a predictive quantum many-body theory that considers electron-electron interactions. The team found that chromium-doped nanowires with a germanium core and silicon shell can be an antiferromagnetic semiconductor.

Several research groups have recently demonstrated manipulation of individual magnetic states in antiferromagnetic materials using electrical current and lasers. They observed spin dynamics in the terahertz frequency — much faster than the frequency used in our current data storage devices. This observation has opened up a plethora of research interests in antiferromagnetism and could lead to faster, higher-capacity data storage.

“In our recent work, we have successfully harnessed the intriguing features of an antiferromagnet into a low-dimensional, complementary metal-oxide compatible semiconductor (CMOS) nanowire without destroying the semiconducting property of the nanowire,” Pati said. “This opens up possibilities for smaller and smarter electronics with higher capacity data storage and manipulation.”

Pati adds that the most exciting part of the research for his team was uncovering the mechanism that dictates antiferromagnetism. The mechanism is called superexchange and it controls the spin of electrons and the antiparallel alignment that makes them antiferromagnetic. In the team’s nanowire, germanium electrons act as a go-between, an exchanger, between unconnected chromium atoms.

“The interaction between the magnetic states of the chromium atoms is mediated by the intermediate atoms they are bonded to. It is a cooperative magnetic phenomenon,” Pati said. “In a simple way, let us say there are two people A and B: They are far apart and cannot communicate directly. But A has a friend C and B has a friend D. C and D are close friends. So, A and B can interact indirectly through C and D.”

Better understanding how electrons communicate between atomic friends enables more experiments to test the potential of materials like chromium-doped nanowires. Better understanding the germanium-silicon nanowire material’s antiferromagnetic nature is what boosts potential for smaller, smarter, higher capacity electronics.

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Materials provided by Michigan Technological University. Original written by Allison Mills. Note: Content may be edited for style and length.

The researchers used molecular genetics to differentiate among corals that look nearly identical and to understand which species best coped with thermal stress. Their research was published in the journal Ecology.

“Being able to recognize the differences among these coral species that cannot be identified in the field — which are known as ‘cryptic species’ — will help us understand new ways for how coral reefs maintain resilience in the face of disturbance,” said Associate Professor of Biological Science Scott Burgess, the paper’s lead author.

The researchers were studying the coral ecosystem at the island of Moorea in French Polynesia when a coral bleaching event struck in 2019.

Corals get their color from algae that live in their tissues and with which they have a symbiotic relationship. But when corals are stressed — by high water temperature, for example — algae leave the coral, which turns white, hence the term “bleaching.” Bleached corals are not dead, but they are more vulnerable and more likely to die.

Most of the coral at Moorea belong to the genus Pocillopora. During the event, the researchers saw that about 72 percent of the coral colonies from this genus bleached, and up to 42 percent died afterward.

At first, it seemed that the largest colonies were more likely to bleach, but when the scientists examined tissue samples from the coral, they found that colonies belonging to a certain genetic lineage, not coral size, was most important in determining the fate of the corals.

“Because Pocillopora species look so similar, they cannot be reliably identified in the field, which, in the past, has forced researchers to study them as a single group,” said Erika Johnston, a postdoctoral researcher in the Department of Biological Science and a co-author of the paper. “Molecular genetics allows us to reconstruct their evolutionary ancestry and are an essential step to species identification in this case.”

About 86 percent of the Pocillopora corals that died belonged to a group that shares a set of DNA variations, which is known as a haplotype and reflects their common evolutionary ancestry.

“The good news is that not all of the corals died from bleaching, and many species survived,” Burgess said. “The bad news is that the species that died is, as far as we are aware at the moment, endemic to that specific region. So on the one hand, we’re worried about losing an endemic species, but on the other hand, our results show how co-occurring cryptic species can contribute to coral resilience.”

It’s an ecological analogy to having a diverse financial portfolio, where a variety of investments decreases the likelihood of a complete loss.

“Having multiple species that perform a similar function for the reef ecosystem but differ in how they respond to disturbances should increase the chance that Pocillopora corals continue to perform their role in the system, even though the exact species may be shuffled around,” Burgess said.

Maintaining healthy ecological portfolios may be a better management option than attempting to restore a specific species.

“If we maintain the right type of diversity, nature in a way can pick the winners and losers,” Burgess said. “However, the worry for us scientists is that unless the leaders of governments and corporations take action to reduce CO2 emissions, ecological portfolios that can maintain coral reef resilience will be increasingly eroded under current and ongoing climate change. This is concerning because coral reef ecosystems provide economic, health, cultural and ecological goods and services that humans rely on.”

Future research will look into the composition of the algae that live inside the coral, the depth distributions of each cryptic coral species and the evolutionary relationships among the cryptic species.

Researchers from the Hong Kong University of Science and Technology, the Scripps Institution of Oceanography and California State University, Northridge contributed to this study.

This work was conducted as part of a National Science Foundation grant awarded to Burgess.

The team of engineers succeeded in measuring the precise origin of the sound generated by the flapping wings of a flying animal for the first time. The hummingbird’s hum originates from the pressure difference between the topside and underside of the wings, which changes both in magnitude and orientation as the wings flap back and forth. These pressure differences over the wing are essential, because they furnish the net aerodynamic force that enables the hummingbird bird to liftoff and hover.

Unlike other species of birds, a hummingbird wing generates a strong upward aerodynamic force during both the downward and upward wing stroke, so twice per wingbeat. Whereas both pressure differences due to the lift and drag force acting on the wing contribute, it turns out that the upward lifting pressure difference is the primary source of the hum.

The difference between whining, humming, buzzing and wooshing

Professor David Lentink of Stanford University: “This is the reason why birds and insects make different sounds. Mosquitoes whine, bees buzz, hummingbirds hum, and larger birds ‘woosh’. Most birds are relatively quiet because they generate most of the lift only once during the wingbeat at the downstroke. Hummingbirds and insects are noisier because they do so twice per wingbeat.”

The researchers combined all measurements in a 3D acoustic model of bird and insect wings. The model not only provides biological insight into how animals generate sound with their flapping wings, it also predicts how the aerodynamic performance of a flapping wing gives the wing sound its volume and timbre. “The distinctive sound of the hummingbird is perceived as pleasant because of the many ‘overtones’ created by the varying aerodynamic forces on the wing. A hummingbird wing is similar to a beautifully tuned instrument,” Lentink explains with a smile.

High-tech sound camera

To arrive at their model, the scientists examined six Anna’s hummingbirds, the most common species around Stanford. One by one, they had the birds drink sugar water from a fake flower in a special flight chamber. Around the chamber, not visible to the bird, cameras, microphones and pressure sensors were set up to precisely record each wingbeat while hovering in front of the flower.

You can’t just go out and buy the equipment needed for this from an electronics store. CEO and researcher Rick Scholte of Sorama, a spin-off of TU Eindhoven: “To make the sound visible and be able to examine it in detail, we used sophisticated sound cameras developed by my company. The optical cameras are connected to a network of 2176 microphones for this purpose. Together they work a bit like a thermal camera that allows you to show a thermal image. We make the sound visible in a ‘heat map’, which enables us to see the 3D sound field in detail.”

New aerodynamic force sensors

To interpret the 3D sound images, it is essential to know what motion the bird’s wing is making at each sound measurement point. For that, Stanford’s twelve high-speed cameras came into play, capturing the exact wing movement frame-by-frame.

Lentink: “But that’s not end of story. We also needed to measure the aerodynamic forces the hummingbird’s wings generates in flight. We had to develop a new instrument for that.” During a follow-up experiment six highly sensitive pressure plates finally managed to record the lift and drag forces generated by the wings as they moved up and down, a first.

The terabytes of data then had to be synchronized. The researchers wanted to know exactly which wing position produced which sound and how this related to the pressure differences. Scholte: “Because light travels so much faster than sound, we had to calibrate each frame separately for both the cameras and the microphones, so that the sound recordings and the images would always correspond exactly.” Because the cameras, microphones and sensors were all in different locations in the room, the researchers also had to correct for that.

Algorithm as a composite artist

Once the wing location, the corresponding sound and the pressure differences are precisely aligned for each video frame, the researchers were confronted with the complexity of interpretating high volume data. The researchers tackled this challenge harnessing artificial intelligence, the research of TU/e PhD student, and co-first author, Patrick Wijnings.

Wijnings: “We developed an algorithm for this that can interpret a 3D acoustic field from the measurements, and this enabled us to determine the most probable sound field of the hummingbird. The solution to this so-called inverse problem resembles what a police facial composite artist does: using a few clues to make the most reliable drawing of the suspect. In this way, you avoid the possibility that a small distortion in the measurements changes the outcome.”

The researchers finally managed to condense all these results in a simple 3D acoustic model, borrowed from the world of airplanes and mathematically adapted to flapping wings. It predicts the sound that flapping wings radiate, not only the hum of the hummingbird, but also the woosh of other birds and bats, the buzzing and whining of insects and even the noise that robots with flapping wings generate.

Making drones quieter

Although it was not the focus of this study, the knowledge gained may also help improve aircraft and drone rotors as well as laptop and vacuum cleaner fans. The new insights and tools can help make engineered devices that generate complex forces like animals do quieter.

This is exactly what Sorama aims to do: “We make sound visible in order to make appliances quieter. Noise pollution is becoming an ever-greater problem. And a decibel meter alone is not going to solve that. You need to know where the sound comes from and how it is produced, in order to be able to eliminate it. That’s what our sound cameras are for. This hummingbird wing research gives us a completely new and very accurate model as a starting point, so we can do our work even better,” concludes Scholte.

Video: https://www.youtube.com/watch?v=CfFitC4D838&t=2s