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Categories: Ecology: Research, Mathematics: Modeling
Published In the treetops: Ecologist studies canopy soil abundance, chemistry



Ecologists examined the distribution patterns of canopy soils, and their soil properties, across Costa Rican forests. The researchers suggest canopy soil may store more carbon than previously thought. Consideration of the time needed for reforestation of system with tree canopies should include the time needed for canopy mat regrowth.
Published How good is that AI-penned radiology report?


New study identifies concerning gaps between how human radiologists score the accuracy of AI-generated radiology reports and how automated systems score them. Researchers designed two novel scoring systems that outperform current automated systems that evaluate the accuracy of AI narrative reports. Reliable scoring systems that accurately gauge the performance of AI models are critical for ensuring that AI continues to improve and that clinicians can trust them.
Published Deep learning for new protein design


Deep learning methods have been used to augment existing energy-based physical models in 'do novo' or from-scratch computational protein design, resulting in a 10-fold increase in success rates verified in the lab for binding a designed protein with its target protein. The results will help scientists design better drugs against diseases like cancer and COVID-19.
Published Researchers are using monkey poop to learn how an endangered species chooses its mates



Northern muriquis, which live in the Atlantic forest of Brazil, are one of the most endangered species of monkey in the world. To better understand what goes on in the mating lives of muriquis, researchers turned to the monkeys' poop to help gain insight into how the primates choose their mates.
Published Scientists dig into wildfire predictions, long-term impacts



Wildfires are an ancient force shaping the environment, but they have grown in frequency, range and intensity in response to a changing climate. Scientists are working on several fronts to better understand and predict these events and what they mean for the carbon cycle and biodiversity.
Published New method simplifies the construction process for complex materials


A new technique incorporates many different building blocks of cellular metamaterials into one unified graph-based representation. This can be used to make a user-friendly interface that can quickly and easily model metamaterials, edit the structures, and simulate their properties.
Published Study analyzes nearshore California marine heatwaves and cold spells amid changing climate conditions



Human-caused climate change has also caused extreme ocean temperatures and conditions with detrimental impacts on marine ecosystems and ocean-related ecology. A new study explores ocean temperature data along California's Coast, finding that certain environmental conditions and the state of the ocean led to an enhanced risk for marine heatwaves and cold spells, conditions that scientists and environmental managers will need to monitor to preserve and protect vital ecosystems critical to the California ocean economy, known as the Blue Economy.
Published Scientists uncover a surprising connection between number theory and evolutionary genetics


An interdisciplinary team of mathematicians, engineers, physicists, and medical scientists has uncovered an unexpected link between pure mathematics and genetics, that reveals key insights into the structure of neutral mutations and the evolution of organisms.
Published Researchers find evolutionary adaption in trout of Wyoming's Wind River Mountains



Scientists found that trout from lakes stocked decades ago in the Wind River Mountains have higher numbers of gill rakers, which are bony or cartilage structures in the gullets of fish that act as sieves to retain zooplankton and nourish the trout. The difference is likely a result of the trout adapting to the food sources of the once-fishless high-mountain lakes -- a change that has taken place in a relatively short period of time and at a rate that is generally consistent with the historic timing of stocking for each of the lakes.
Published Researchers successfully train a machine learning model in outer space for the first time



Scientists have trained a machine learning model in outer space, on board a satellite. This achievement could revolutionize the capabilities of remote-sensing satellites by enabling real-time monitoring and decision making for a range of applications.
Published New study reveals that tree species diversity increases spider density



The link between tree diversity and spider populations can help homeowners and other land managers better plan tree plantings to naturally mitigate the effects of climate change.
Published A simpler method for learning to control a robot


A new machine-learning technique can efficiently learn to control a robot, leading to better performance with fewer data.
Published Global wildlife trade risks altering evolutionary history and ecosystem function, study suggests



Some of the world's most distinct and ancient animal species, which play crucial roles in our planet's ecosystems, are exploited for the wildlife trade across large parts of the world, according to new research.
Published Earlier and earlier high-Arctic spring replaced by 'extreme year-to-year variation'



About 15 years ago, researchers reported that the timing of spring in high-Arctic Greenland had advanced at some of the fastest rates of change ever seen anywhere in the world. But, according to new evidence, that earlier pattern has since been completely erased. Instead of coming earlier and earlier, it seems the timing of Arctic spring is now driven by tremendous climate variability with drastic differences from one year to the next.
Published An inverse model for food webs and ecosystem stability



Researchers invert a classical approach to modeling food webs. Instead of trying to replicate stable, complex ecosystems using simplistic representations of species interactions, the authors' novel inverse method assumes the ecosystems exist and works backward to characterize food webs that support that assumption. Their work represents a significant step toward addressing a fundamental ecological question of how biodiversity promotes ecosystem stability. The findings offer insights into how nature may respond to growing anthropogenic disturbances.
Published Research supports use of managed and prescribed fires to reduce fire severity



Scientists found that fires in America's dry conifer forests are burning hotter and killing more trees today than in previous centuries. The main culprit? Paradoxically, a lack of fires.
Published Road salt pollution in many US lakes could stabilize at or below thresholds set by the EPA



For lakes in areas with light to moderate road density, the authors found that holding road salt application rates steady could help lakes stabilize below 230 mg/l of chloride per liter of water, the threshold designated by the EPA to protect aquatic life. Reducing application could yield additional environmental and economic benefits without threatening road safety.
Published Scientists discover new isopod species in the Florida Keys



Scientists have discovered a new species of marine cryptofauna in the Florida Keys. Cryptofauna are the tiny, hidden, organisms that make up the majority of biodiversity in the ocean. The tiny crustaceans are the first new gnathiid isopod to be discovered from the Floridian ecoregion in 100 years and are named after singer-songwriter Jimmy Buffett.
Published AI predicts the work rate of enzymes


Enzymes play a key role in cellular metabolic processes. To enable the quantitative assessment of these processes, researchers need to know the so-called 'turnover number' (for short: kcat) of the enzymes. A team of bioinformaticians now describes a tool for predicting this parameter for various enzymes using AI methods.
Published Picturing where wildlands and people meet at a global scale



Researchers have created the first tool to map and visualize the areas where human settlements and nature meet on a global scale. The tool could improve responses to environmental conflicts like wildfires, the spread of zoonotic diseases and loss of ecosystem biodiversity.