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Categories: Ecology: Trees, Mathematics: Modeling
Published Discovery of a hybrid lineage offers clues to how trees adapt to climate change



The discovery of a hybrid population of poplar trees in western Wyoming has provided insight into how natural hybridization informs the evolution of many plant species, according to researchers. They also said their discovery suggests that genetic exchange between species may be critical for adaptation to environmental change.
Published Forests endure as carbon sink despite regional pressures



Despite facing regional threats like deforestation and wildfires, the world's forests continue to be a powerful weapon in the fight against climate change. A new study reveals these vital ecosystems have consistently absorbed carbon dioxide for the past three decades, even as disruptions chip away at their capacity. The study, based on long-term ground measurements combined with remote sensing data, found that forests take up an average of 3.5 0.4 billion metric tons of carbon per year, which is nearly half of the carbon dioxide emissions from burning fossil fuels between 1990 and 2019.
Published Logged forests can still have ecological value -- if not pushed too far



Researchers have analysed data from 127 studies to reveal 'thresholds' for when logged rainforests lose the ability to sustain themselves. The results could widen the scope of which forests are considered 'worth' conserving, but also show how much logging degrades forests beyond the point of no return.
Published Scientists use machine learning to predict diversity of tree species in forests



Researchers used machine learning to generate highly detailed maps of over 100 million individual trees from 24 sites across the U.S. These maps provide information about individual tree species and conditions, which can greatly aid conservation efforts and other ecological projects.
Published How to assess a general-purpose AI model's reliability before it's deployed



A new technique estimates the reliability of a self-supervised foundation model, like those that power ChatGPT, without the need to know what task that model will be deployed on later.
Published A new neural network makes decisions like a human would



Researchers are training neural networks to make decisions more like humans would. This science of human decision-making is only just being applied to machine learning, but developing a neural network even closer to the actual human brain may make it more reliable, according to the researchers.
Published Wildfire smoke has a silver lining: It can help protect vulnerable tree seedlings



Forest scientists studying tree regeneration have found that wildfire smoke comes with an unexpected benefit: It has a cooling capacity that can make life easier for vulnerable seedlings.
Published Study examines urban forests across the United States



Tree-planting campaigns have been underway in the United States, especially in cities, as part of climate mitigation efforts given the many environmental benefits of urban forests. But a new study finds that some areas within urban forests in the U.S., may be more capable than trees growing around city home lawns in adapting to a warmer climate.
Published When to trust an AI model



A new technique enables huge machine-learning models to efficiently generate more accurate quantifications of their uncertainty about certain predictions. This could help practitioners determine whether to trust the model when it is deployed in real-world settings.
Published Insight into one of life's earliest ancestors revealed in new study



Researchers have shed light on Earth's earliest ecosystem, showing that within a few hundred million years of planetary formation, life on Earth was already flourishing.
Published Artificial intelligence speeds up heart scans, saving doctors' time, and could lead to better treatment for heart conditions



Researchers have developed a groundbreaking method for analysing heart MRI scans with the help of artificial intelligence, which could save valuable time and resources, as well as improve care for patients.
Published Researchers customize AI tools for digital pathology



Scientists developed and tested new artificial intelligence (AI) tools tailored to digital pathology--a rapidly growing field that uses high-resolution digital images created from tissue samples to help diagnose disease and guide treatment.
Published Study examines tree adaptability to climate change



Many trees could expand their ranges by more than 25 percent based on their potential temperature tolerances.
Published Researchers introduce generative AI for databases



Researchers have developed an easy-to-use tool that enables someone to perform complicated statistical analyses on tabular data using just a few keystrokes. Their method combines probabilistic AI models with the programming language SQL to provide faster and more accurate results than other methods.
Published First local extinction in the US due to sea level rise, study suggests



The United States has lost its only stand of the massive Key Largo tree cactus in what researchers believe is the first local extinction of a species caused by sea level rise in the country.
Published Innovative, highly accurate AI model can estimate lung function just by using chest x-rays



An artificial intelligence (AI) model that can estimate with high accuracy a person's lung function just by using a chest radiograph has been successfully developed.
Published Genomic data integration improves prediction accuracy of apple fruit traits



Genotyping techniques can be used to select fruit trees with desired traits at the seedling stage, increasing the efficiency of fruit tree breeding. However, so far, there are multiple different genotyping systems, each generating distinct datasets. In a recent study, Japanese scientists revealed that integrating genomic data obtained with different genotyping systems can effectively combine with historical data, leveraging the accuracy of genomic predictions.
Published Deep machine-learning speeds assessment of fruit fly heart aging and disease, a model for human disease



Drosophila -- known as fruit flies -- are a valuable model for human heart pathophysiology, including cardiac aging and cardiomyopathy. However, a choke point in evaluating fruit fly hearts is the need for human intervention to measure the heart at moments of its largest expansion or its greatest contraction to calculate cardiac dynamics. Researchers now show a way to significantly cut the time needed for that analysis while utilizing more of the heart region, using deep learning and high-speed video microscopy.
Published Machine learning could aid efforts to answer long-standing astrophysical questions



Physicists have developed a computer program incorporating machine learning that could help identify blobs of plasma in outer space known as plasmoids. In a novel twist, the program has been trained using simulated data.
Published Climate change drives tree species towards colder, wetter regions



Climate change is likely to drive tree species towards colder and wetter regions.