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Categories: Ecology: Extinction, Mathematics: Modeling
Published Biodiversity protects against invasions of non-native tree species


Researchers combined human and ecological factors to analyze the global scale of non-native tree species invasions. Human activity in hotspots of global trade, such as maritime ports, is linked to an increased likelihood of non-native tree species invasions. However, a high diversity of native tree species can help to curb the intensity of such invasions.
Published Vegetarian diet of corals explains age-old mystery dating back to Darwin



A new study has revealed why coral reefs can thrive in seemingly nutrient poor water, a phenomenon that has fascinated scientists since Charles Darwin.
Published Fire, disease threatening sanctuary plants for Australian wildlife



New research has revealed Australia's iconic grasstrees -- known as 'yaccas' -- play a critical role in protecting wildlife from deadly weather extremes, thereby ensuring their survival. But the grasses themselves are under threat due to back burning, clearing and disease.
Published Hundreds of Andean bird species at risk due to deforestation: New research shows how to protect them



Birds native to the tropical Andes are threatened by increasing agricultural development in the region. A new study combines a meta-analysis of papers on birds across the Andes with five years of fieldwork in Peru, revealing that open farmlands result in up to a 60% decline in the number of species in an area. The study documents how specific species are affected and provides tailored guidance for conservationists trying to protect them.
Published Detecting a vast diversity of rainforest animals by swabbing their DNA from leaves


Researchers demonstrate that a vast multitude of birds and mammals can be detected by simply swabbing the DNA left behind by animals from leaves. They showcased the power of this approach in an ecosystem that hosts a ton of wildlife and where detecting animals has historically proven extremely challenging -- the tropical rainforest.
Published Scientists zero in on timing, causes of ice age mammal extinctions in southern California



Radiocarbon dating on bones in the La Brea Tar Pits lead archaeologists to warn that history may be repeating itself.
Published World's deepest coral calcification rates measured off Hawaiian Islands


In the waters off the Hawaiian Islands, rates of calcification were measured in the deepest coral colonies.
Published Harnessing big data reveals birds' coexisting tactics


Birds likely hold smart insights about coexisting in popular habitats -- especially as climate change looms. Scientists peel back layers of big data to tease out real-life answers.
Published AI models are powerful, but are they biologically plausible?


Researchers hypothesize that a powerful type of AI model known as a transformer could be implemented in the brain through networks of neuron and astrocyte cells. The work could offer insights into how the brain works and help scientists understand why transformers are so effective at machine-learning tasks.
Published Researchers use mathematical modeling and dynamic biomarkers to characterize metastatic disease during adaptive therapy


Researchers demonstrate how mathematical modeling combined with dynamic biomarkers can be used to characterize metastatic disease and identify appropriate therapeutic approaches to improve patient outcomes.
Published Distribution of genetic information during bacterial cell division


A mathematical model provides new insights into the distribution of genetic information during bacterial cell division
Published Artificial intelligence designs advanced materials


Scientists pioneer a new machine learning model for corrosion-resistant alloy design.
Published Tool finds bias in state-of-the-art generative AI model


Researchers introduce a new tool to measure bias in text-to-image AI generation models, which they have used to quantify bias in the state-of-the-art model Stable Diffusion.
Published Turning ChatGPT into a 'chemistry assistant'


Developing new materials requires significant time and labor, but some chemists are now hopeful that artificial intelligence (AI) could one day shoulder much of this burden. In a new study, a team prompted a popular AI model, ChatGPT, to perform one particularly time-consuming task: searching scientific literature. With that data, they built a second tool, a model to predict experimental results.
Published Land-sea relationship is major driver of coral reef health outcomes



New research indicates that mitigating both local land and sea-based human impacts, especially in terms of pollutants and over-fishing, provides coral reef ecosystems with the best opportunity to persist under climate change. Along some highly populated areas on the shorelines of Hawai'i, wastewater pollution and urban runoff combine with fishing pressures to put immense stress on coral reefs.
Published Pause in recent coral recovery on much of Great Barrier Reef


In-water monitoring shows hard coral cover across the Great Barrier Reef remains at similar levels to that recorded in 2022, with small decreases in the Northern, Central and Southern regions. AIMS' Annual Summary Report on Coral Reef Condition for 2022/23 found that while some reefs continued to recover, their increased hard coral cover was offset by coral loss on other reefs. Most reefs underwent little change in coral cover.
Published Managing domestic and wildcats is likely to remain fraught, new research warns



Current efforts to protect and restore native biodiversity is being threatened by difficulties in identifying wild and domestic cats, and categorization is likely to remain fraught for the foreseeable future, experts have warned.
Published Whale-like filter-feeding discovered in prehistoric marine reptile



A remarkable new fossil from China reveals for the first time that a group of reptiles were already using whale-like filter feeding 250 million years ago.
Published New model reduces bias and enhances trust in AI decision-making and knowledge organization


Researchers have developed a new explainable artificial intelligence (AI) model to reduce bias and enhance trust and accuracy in machine learning-generated decision-making and knowledge organization.
Published Self-supervised AI learns physics to reconstruct microscopic images from holograms


Researchers have unveiled an artificial intelligence-based model for computational imaging and microscopy without training with experimental objects or real data. The team introduced a self-supervised AI model nicknamed GedankenNet that learns from physics laws and thought experiments. Informed only by the laws of physics that universally govern the propagation of electromagnetic waves in space, the researchers taught their AI model to reconstruct microscopic images using only random artificial holograms -- synthesized solely from 'imagination' without relying on any real-world experiments, actual sample resemblances or real data.