Clusters of landslides offer a potential record of earthquakes, if researchers can determine when the landslides occurred. The new study published in the Bulletin of the Seismological Society of America combines information about the location of these Puget Lowlands landslides along with new dates obtained from measuring the surface roughness of the landslides.

The combination of data helped Erich Herzig of the University of Washington and colleagues uncover strong evidence of the last known major Seattle Fault earthquake, thought to be a magnitude 7 to 7.5 event. (A recent study suggested that there may have even been a double earthquake at the time in the region.)

The researchers compared their new landslide map to ground motions generated by different Seattle Fault earthquake scenarios. The scenario that best matches the landslide clusters, they found, is one that produces the strongest shaking in a west to east band from west Seattle to Mercer Island and the bluffs bordering Puget Sound.

“While other studies have refined our understanding of the overall strength or timing of the 1,100-year-old Seattle Fault earthquake, to our knowledge, this is the first study that has attempted to characterize the locations of strong shaking,” Herzig said.

Herzig and colleagues also uncovered other landslide clusters at 4600-4200 years ago, 4000-3800 years ago, 2800 to 2600 years ago, and 2200 to 2000 years ago that could be signs of older Seattle Fault earthquakes.

They began by mapping more than 1,000 deep-seated landslides across the Puget Lowlands — deep-seated refers to landslides where the slide plane lays below the roots of the trees — using a technique called airborne lidar.

“Airborne lidar is a technology where a plane mounted with lasers is used to measure the shape of the land surface in detail, even through vegetation,” Herzig explained. “In the past few years this technology has been able to produce maps at one meter resolution or better, which is essential for measuring roughness as we do in the paper.”

Measuring the roughness of a landslide surface is a relatively new technique used by scientists to estimate the age of a landslide, he noted. The general idea is that ground surfaces roughen after the mass movement of rocks and soil, so that landslide deposits are the roughest right after the landslide occurs and become smoother over time. By modeling this age-roughness relationship, with information from landslides dated by other means such as carbon dating, researchers can estimate when a particular landslide took place.

For the landslides in the BSSA study, Herzig and colleagues calculated roughness by measuring variations in the land surface in a 15-meter-wide circle. Carbon dating of wood at some landslides provided data for calibrating the landslide ages.

The researchers uncovered spatial patterns in the landslides that correlate with the ground motions predicted by models of Seattle Fault earthquakes. They also noted that the timing of landslides in the Puget Lowland fits better with a model of a pulse of landslides at the time of the last major Seattle Fault earthquake, rather than a model of landslides happening steadily through time.

The researchers said their method offers a powerful new way of extracting information about past earthquakes from landslide data.

“This method is best suited to understanding landscapes that have hills that are steep enough to have landslides, and that have infrequent but powerful earthquakes,” Herzig said. “In the U.S., that could mean other locations in the Puget Lowlands area, or places in the New Madrid seismic zone. Other locations around the world could also be interesting to study, such as the Hinagu Fault zone in Japan, or the Hellenic arc in Greece.”

The research finds that 12 countries have the technical ability to sequester over 20% of their current total greenhouse gas emissions by converting crop residues to biochar. Bhutan leads the way with the potential to sequester 68% of its emissions in the form of biochar, followed by India, at 53%. The study, “Potential for Biochar Carbon Sequestration from Crop Residues: A Global Spatially Explicit Assessment,” published in the journal GCB Bioenergy.

“We are entering an unprecedented era in which even a rapid and profound reduction in fossil fuel use will not be enough to avoid severe harms to both humans and ecosystems from climate change,” said co-lead author Dominic Woolf, a senior research associate in the School of Integrative Plant Science at Cornell University.

“We also need to draw down excess CO₂,” he said. “Making biochar from crop residues is one of the few tools we have that can do this at scale without competing for land.”

Biochar improves soil fertility and benefits plant growth, while also offering a way to remove CO₂ from the atmosphere. When added to soils, biochar sequesters carbon in the soil for centuries.

The study finds that if the total amount of crop residues generated by agriculture globally were converted into biochar, it would sequester a maximum of one billion metric tons of carbon stored annually. Three-quarters of that carbon would remain sequestered after 100 years, which represents enough to offset about 80% of all greenhouse gas emissions from agriculture.

“Even when considering limitations on sustainable residue harvesting and competing usage for crop residues — such as livestock feed — the global biochar production potential is approximately half of that amount,” Woolf said.

When considering these limitations, potential global biochar production amounts to 510 million metric tons of carbon per year, with roughly 360 million metric tons remaining sequestered after 100 years.

“The high-resolution maps of crop residue production and biochar sequestration will provide valuable insights and support decision-making related to biochar production and investment in biochar production capacity,” Woolf said.

The study was funded by the Nature Conservancy and the Bezos Earth Fund.

Appearing Nov. 6 in the journal Nature Communications, the new technology might one day help people unable to talk due to neurological disorders regain the ability to communicate through a brain-computer interface.

“There are many patients who suffer from debilitating motor disorders, like ALS (amyotrophic lateral sclerosis) or locked-in syndrome, that can impair their ability to speak,” said Gregory Cogan, Ph.D., a professor of neurology at Duke University’s School of Medicine and one of the lead researchers involved in the project. “But the current tools available to allow them to communicate are generally very slow and cumbersome.”

Imagine listening to an audiobook at half-speed. That’s the best speech decoding rate currently available, which clocks in at about 78 words per minute. People, however, speak around 150 words per minute.

The lag between spoken and decoded speech rates is partially due the relatively few brain activity sensors that can be fused onto a paper-thin piece of material that lays atop the surface of the brain. Fewer sensors provide less decipherable information to decode.

To improve on past limitations, Cogan teamed up with fellow Duke Institute for Brain Sciences faculty member Jonathan Viventi, Ph.D., whose biomedical engineering lab specializes in making high-density, ultra-thin, and flexible brain sensors.

For this project, Viventi and his team packed an impressive 256 microscopic brain sensors onto a postage stamp-sized piece of flexible, medical-grade plastic. Neurons just a grain of sand apart can have wildly different activity patterns when coordinating speech, so it’s necessary to distinguish signals from neighboring brain cells to help make accurate predictions about intended speech.

After fabricating the new implant, Cogan and Viventi teamed up with several Duke University Hospital neurosurgeons, including Derek Southwell, M.D., Ph.D., Nandan Lad, M.D., Ph.D., and Allan Friedman, M.D., who helped recruit four patients to test the implants. The experiment required the researchers to place the device temporarily in patients who were undergoing brain surgery for some other condition, such as treating Parkinson’s disease or having a tumor removed. Time was limited for Cogan and his team to test drive their device in the OR.

“I like to compare it to a NASCAR pit crew,” Cogan said. “We don’t want to add any extra time to the operating procedure, so we had to be in and out within 15 minutes. As soon as the surgeon and the medical team said ‘Go!’ we rushed into action and the patient performed the task.”

The task was a simple listen-and-repeat activity. Participants heard a series of nonsense words, like “ava,” “kug,” or “vip,” and then spoke each one aloud. The device recorded activity from each patient’s speech motor cortex as it coordinated nearly 100 muscles that move the lips, tongue, jaw, and larynx.

Afterwards, Suseendrakumar Duraivel, the first author of the new report and a biomedical engineering graduate student at Duke, took the neural and speech data from the surgery suite and fed it into a machine learning algorithm to see how accurately it could predict what sound was being made, based only on the brain activity recordings.

For some sounds and participants, like /g/ in the word “gak,” the decoder got it right 84% of the time when it was the first sound in a string of three that made up a given nonsense word.

Accuracy dropped, though, as the decoder parsed out sounds in the middle or at the end of a nonsense word. It also struggled if two sounds were similar, like /p/ and /b/.

Overall, the decoder was accurate 40% of the time. That may seem like a humble test score, but it was quite impressive given that similar brain-to-speech technical feats require hours or days-worth of data to draw from. The speech decoding algorithm Duraivel used, however, was working with only 90 seconds of spoken data from the 15-minute test.

Duraivel and his mentors are excited about making a cordless version of the device with a recent $2.4M grant from the National Institutes of Health.

“We’re now developing the same kind of recording devices, but without any wires,” Cogan said. “You’d be able to move around, and you wouldn’t have to be tied to an electrical outlet, which is really exciting.”

While their work is encouraging, there’s still a long way to go for Viventi and Cogan’s speech prosthetic to hit the shelves anytime soon.

“We’re at the point where it’s still much slower than natural speech,” Viventi said in a recent Duke Magazine piece about the technology, “but you can see the trajectory where you might be able to get there.”

This work was supported by grants from the National Institutes for Health (R01DC019498, UL1TR002553), Department of Defense (W81XWH-21-0538), Klingenstein-Simons Foundation, and an Incubator Award from the Duke Institute for Brain Sciences.

Except this tale unfolded about 30 million years ago, just after the Eocene-Oligocene transition during which North America saw great cooling and drying, making the continent less hospitable to warmth-loving primates.

Today, paleontologists from the University of Kansas and the Institute of Vertebrate Paleontology and Paleoanthropology in Beijing have published evidence in the Journal of Human Evolution shedding light on the long-standing saga of Ekgmowechashala, based on fossil teeth and jaws found in both Nebraska and China.

To do so, the researchers first had to reconstruct its family tree, a job helped by the discovery of an even more ancient Chinese “sister taxon” of Ekgmowechashala the team has named Palaeohodites (or “ancient wanderer”). The Chinese fossil discovery resolves the mystery of Ekgmowechashala’s presence in North America, showing it was an immigrant rather than the product of local evolution.

“This project focuses on a very distinctive fossil primate known to paleontologists since the 1960s,” said lead author Kathleen Rust, a doctoral candidate in paleontology at KU’s Biodiversity Institute and Natural History Museum. “Due to its unique morphology and its representation only by dental remains, its place on the mammalian evolutionary tree has been a subject of contention and debate. There’s been a prevailing consensus leaning towards its classification as a primate. But the timing and appearance of this primate in the North American fossil record are quite unusual. It appears suddenly in the fossil record of the Great Plains more than 4 million years after the extinction of all other North American primates, which occurred around 34 million years ago.”

In the 1990s, Rust’s doctoral adviser and co-author Chris Beard, KU Foundation Distinguished Professor and senior curator of vertebrate paleontology, collected fossils from the Nadu Formation in the Baise Basin in Guangxi, China, that closely resembled the Ekgmowechashala material known from North America. By that time, Ekgmowechashala was notoriously enigmatic among North American paleontologists.

“When we were working there, we had absolutely no idea that we would find an animal that was closely related to this bizarre primate from North America, but literally as soon as I picked up the jaw and saw it, I thought, ‘Wow, this is it,'” Beard said. “It’s not like it took a long time, and we had to undertake all kinds of detailed analysis — we knew what it was. Here in KU’s collection, we have some critical fossils, including what is still by far the best upper molar of Ekgmowechashala known from North America. That upper molar is so distinctive and looks quite similar to the one from China that we found that it kind of seals the deal.”

Beard left it to Rust to conduct the morphological analysis that tied Ekgmowechashala and its cousin Palaeohodites from China in a phylogenetic tree to establish their evolutionary relationships.

In the course of the work, Rust was able to draw conclusions about how Ekgmowechashala came to be discovered in Nebraska, millions of years after its fellow primates died out in the continent’s fossil record.

“We collected a substantial amount of morphological data to create an evolutionary tree using a phylogenetic reconstruction software and algorithm,” Rust said. “This evolutionary tree suggests a close evolutionary relationship between North American Ekgmowechashala and Palaeohodites from China, which Chris and his colleagues discovered in the 1990s. The results from our analysis unequivocally supports this hypothesis.”

The KU researchers said their discovery is not only exciting in terms of discovering a new primate species from late Eocene China — but also in settling the origin story of Ekgmowechashala. Based on their investigation, Ekgmowechashala did not descend from an older North American primate that somehow survived the cooler and drier conditions that caused other North American primates to go extinct. Rather, its ancestors crossed over the Beringian region millions of years later, anticipating the route followed by the first Native Americans much later in time.

“Our analysis dispels the idea that Ekgmowechashala is a relic or survivor of earlier primates in North America,” Rust said. “Instead, it was an immigrant species that evolved in Asia and migrated to North America during a surprisingly cool period, most likely via Beringia.”

Species like Ekgmowechashala that show up suddenly in the fossil record long after their relatives have died off are referred to as “Lazarus taxa” after the biblical figure who was raised from the dead.

“The ‘Lazarus effect’ in paleontology is when we find evidence in the fossil record of animals apparently going extinct — only to reappear after a long hiatus, seemingly out of nowhere,” Beard said. “This is the grand pattern of evolution that we see in the fossil record of North American primates. The first primates came to North America about 56 million years ago at the beginning of the Eocene, and they flourished on this continent for more than 20 million years. But they went extinct when climate became cooler and drier near the Eocene-Oligocene boundary, about 34 million years ago. Several million years later Ekgmowechashala shows up like a drifting gunslinger in a Western movie, only to be a flash in the pan as far as the long trajectory of evolution is concerned. After Ekgmowechashala is gone for more than 25 million years, Clovis people come to North America, marking the third chapter of primates on this continent. Like Ekgmowechashala, humans in North America are a prime example of the Lazarus effect.”

Rust and Beard were joined in the work by co-authors Xijun Ni of the Chinese Academy of Sciences, Beijing, and Kristen Tietjen, scientific illustrator with the KU Biodiversity Institute and Natural History Museum.

According to Rust, the tale of Ekgmowechashala is worth people’s attention because it happened in an era of profound environmental and climatic changes, much like our own that’s driven by human activity.

“It’s crucial to comprehend how past biota reacted to such shifts,” she said. “In such situations, organisms typically either adapt by retreating to more hospitable regions with available resources or face extinction. Around 34 million years ago, all of the primates in North America couldn’t adapt and survive. North America lacked the necessary conditions for survival. This underscores the significance of accessible resources for our non-human primate relatives during times of drastic climatic change.”

The study is also a part of a larger story that represents the earliest chapters of our own evolutionary journey that ultimately led to our own species, Rust said.

“Understanding this narrative is not only humbling, but also helps us appreciate the depth and complexity of the dynamic planet we inhabit,” she said. “It allows us to grasp the intricate workings of nature, the power of evolution in giving rise to life and the influence of environmental factors.”

“PACs are an ecological surprise arriving late to the scene of widespread ecosystem degradation of coral reefs in the Anthopocene epoch,” writes the team, led by Peter Edmunds of California State University, Northridge. “Within this seascape, PACs may serve as an ecological catalyst that could hasten the global demise of corals on reefs under accelerating climate change.”

One of the most challenging aspects of the emerging PAC threat is that the algae can be incredibly hard to identify. There are an estimated 48 different species of PACs, and they can be difficult to tell apart from harmless species like seaweeds because their morphology varies significantly when it comes to color, shape, and structure.

“PAC outbreaks appear to be a rapidly developing crisis on coral reefs throughout the world, where they are exploiting the ecological legacies of decades of reef degradation,” write the authors.

Already, between 2012 and 2019, PACs took over 47%-64% of the shallow reefs in St. John, US Virgin Islands. And given the fact that PACs appear to be much more resilient than other related species to the impacts of climate change, including ocean acidification and extreme weather events like hurricanes, the researchers predict that PACs will eventually dominate reefs worldwide. “The recent increases in cover and distribution of PACs on tropical reefs demonstrate their capacity to accelerate the restructuring of tropical benthic habitats,” they write.

To slow the spread of PACs and protect the reefs, the authors stress the importance of detecting PAC outbreaks as early as possible. They also encourage researchers to look into the transformative impact of PACs on benthic communities and learn more about tropical reef resilience against PAC outbreaks.

“Suitable progress in these areas will only be obtained by a well-funded synergy of ecological, phylogenetic, and multi-omic studies that must start with the ability to quickly and accurately identify the taxa driving the global advance of PACs,” write the researchers.