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Categories: Ecology: Trees, Mathematics: Statistics

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A study has found children who are exposed to tree and weed pollen in urban environments are at increased risk of respiratory health problems, including asthma. While green areas in urban settings decrease exposure to air pollution, allow kids to be active, and offer positive contact to a diverse microbiota -- which in turn may help the positive development of a child's immune system -- they can also lead to the development of childhood asthma. Thankfully, trees can help mitigate this effect to some degree, thanks to their canopy.

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Tropical forests store a third of the world's carbon in their wood and soils. However, their future as a carbon sink has been uncertain. Scientists have long wondered whether nutrient-poor tropical soils would limit the ability of mature and recovering forests to thrive. A study offers a hopeful response, suggesting that forests have flexible strategies that help them overcome the challenge of scarce nutrients.

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Researchers combine AI and mobile health to predict recovery from lumbar spine surgery.

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Team utilizes advanced statistical techniques to project the future groundwater depletion risk.

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Why do primates have big brains? In the Panamanian rainforest, scientists pitted large-brained primates against smaller-brained mammals to find out who was the smartest forager.

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In human populations, it is relatively easy to calculate demographic trends and make projections of the future if data on basic processes such as births and immigration is known. The data, given by individuals, can be also death and emigration, which subtract. In the wild, on the other hand, understanding the processes that determine wildlife demographic patterns is a highly complex challenge for the scientific community. Although a wide range of methods are now available to estimate births and deaths in wildlife, quantifying emigration and immigration has historically been difficult or impossible in many populations of interest, particularly in the case of threatened species.

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Researchers used generative AI to develop a physics-informed technique to classify phase transitions in materials or physical systems that is much more efficient than existing machine-learning approaches.

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The balsam woolly adelgid, a tiny nonnative flightless insect, is spreading across the American West killing subalpine fir in northern Utah's recreation-heavy mountain ranges and canyons. Rsearchers document a close association between the pest's spread and warming temperatures.

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Researchers have recast diffusion in multicomponent alloys as a sum of individual contributions, called 'kinosons.' Using machine learning to compute the statistical distribution of the individual contributions, they were able to model the alloy and calculate its diffusivity orders of magnitude more efficiently than computing whole trajectories.

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Artificial intelligence (AI) computer programs that process MRI results show differences in how the brains of men and women are organized at a cellular level, a new study shows. These variations were spotted in white matter, tissue primarily located in the human brain's innermost layer, which fosters communication between regions.

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A special review examines highly-cited papers in statistical ecology. The review, which covers a century of research, details how models and concepts have evolved alongside increasing computational power.

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Physicists and computer scientists have recently expanded the modern theory of the thermodynamics of computation. By combining approaches from statistical physics and computer science, the researchers introduce mathematical equations that reveal the minimum and maximum predicted energy cost of computational processes that depend on randomness, which is a powerful tool in modern computers.

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New research has looked into the potential effects of increased rainfall in regions being earmarked for expansion of temperate rainforests. Amid global calls for more trees to be planted as part of efforts to combat climate change, this study highlights the importance of factoring in soil conditions when looking at where and how to create the temperate rainforests of the future.

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Elucidating the relationship between the sequences of non-coding regulatory elements and their target genes is key to understanding gene regulation and its variation between plant species and ecotypes. Now, an international research team developed deep learning models that link gene sequence data with mRNA copy number for several plant species and predicted the regulatory effect of gene sequence variation.

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Many American companies are relying on carbon offsets to reduce their carbon footprint, especially those who have pledged to achieve 'net-zero emissions.' Sequestering carbon in forests is an example of a nature-based solution that is being used to address climate change, but a new study suggests that hurricanes could pose a risk. The results show that a single hurricane may wipe out 5% to 10% of total above-ground forest carbon, through tree damage, in New England.

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Researchers found that forests with higher trait diversity not only adapt better to climate change but may also thrive. The study unveiled how tree functional trait diversity plays a pivotal role in mitigating climate warming. In the face of environmental stress, these diverse trees have been shown to maintain higher productivity levels, in contrast to monoculture forests.

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A rapidly spreading virus threatens the health of the cacao tree and the dried seeds from which chocolate is made, jeopardizing the global supply of the world's most popular treat. Researchers have developed a new strategy: using mathematical data to determine how far apart farmers can plant vaccinated trees to prevent mealybugs from jumping from one tree to another and spreading the virus.

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Natural forest regeneration is hailed as a cost-effective way to restore biodiversity and sequester carbon. However, the fragmentation of tropical forests has restricted the movement of large birds limiting their capacity to disperse seeds and restore healthy forests.

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Researchers have developed a new method to predict the financial impacts climate change will have on agriculture, which can help support food security and financial stability for countries increasingly prone to climate catastrophes.

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Scientists have developed an automated workflow that could accelerate the discovery of new pharmaceutical drugs and other useful products. The new automated approach could analyze chemical reactions in real time and identify new chemical-reaction products much faster than current laboratory methods.