Competition is ubiquitous and an important driver of tree mortality. Non-structural carbohydrates (NSCs, including soluble sugars and starch) and C-N-P stoichiometries are affected by the competitive status of trees and, in turn, physiologically determine tree growth and survival in competition. However, the physiological mechanisms behind tree mortality caused by intraspecific competition remain unclear. Here, we ask how the performance (growth vigour) of trees in intraspecific competition relates to NSC and C-N-P stoichiometry traits. Through the field surveys at neighbourhood levels, we demonstrated that competition is responsible for tree mortality in an even-aged Pinus massoniana forest. The whole NSCs and C-N-P stoichiometries of trees in different growth vigour classes (i.e., flourishing, moderate, and dying) were then analysed to elucidate how trees fail in competition. We found that (1) the concentrations of NSCs and their components in stems, coarse roots and fine roots were constant across tree growth vigour classes, but were significantly lower in the leaves, twigs and branches of moderate and dying trees than those of flourishing trees, and (2) the C, N and P concentration and their respective ratios were constant in all the tissues across tree growth vigour classes, but the nitrogen stoichiometric homeostasis index (H) of flourishing trees was significantly higher than that of moderate and dying trees. The results demonstrated that both carbohydrate deficiency and low stoichiometric homeostasis are potential physiological drivers underlying tree mortality caused by intraspecific competition. This study also emphasizes the importance of considering stoichiometric homeostasis in research on tree competition and forest dynamics.
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http://dx.doi.org/10.1016/j.plaphy.2025.109530 | DOI Listing |
Int J Med Inform
January 2025
School of Geography and the Environment, University of Oxford, South Parks Road, Oxford OX1 3QY, United Kingdom. Electronic address:
Background: Coronavirus Disease 2019 (COVID-19), caused by the SARS-CoV-2 virus, emerged as a global health crisis in 2019, resulting in widespread morbidity and mortality. A persistent challenge during the pandemic has been the accuracy of reported epidemic data, particularly in underdeveloped regions with limited access to COVID-19 test kits and healthcare infrastructure. In the post-COVID era, this issue remains crucial.
View Article and Find Full Text PDFSci Rep
January 2025
Faculty of Engineering, Université de Moncton, Moncton, NB, E1A3E9, Canada.
Diabetes is a growing health concern in developing countries, causing considerable mortality rates. While machine learning (ML) approaches have been widely used to improve early detection and treatment, several studies have shown low classification accuracies due to overfitting, underfitting, and data noise. This research employs parallel and sequential ensemble ML approaches paired with feature selection techniques to boost classification accuracy.
View Article and Find Full Text PDFPlant Physiol Biochem
January 2025
College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, China. Electronic address:
Competition is ubiquitous and an important driver of tree mortality. Non-structural carbohydrates (NSCs, including soluble sugars and starch) and C-N-P stoichiometries are affected by the competitive status of trees and, in turn, physiologically determine tree growth and survival in competition. However, the physiological mechanisms behind tree mortality caused by intraspecific competition remain unclear.
View Article and Find Full Text PDFJ Am Med Inform Assoc
January 2025
Department of Cardiology, Royal North Shore Hospital, Sydney, NSW, Australia.
Objective: We aimed to develop a highly interpretable and effective, machine-learning based risk prediction algorithm to predict in-hospital mortality, intubation and adverse cardiovascular events in patients hospitalised with COVID-19 in Australia (AUS-COVID Score).
Materials And Methods: This prospective study across 21 hospitals included 1714 consecutive patients aged ≥ 18 in their index hospitalization with COVID-19. The dataset was separated into training (80%) and test sets (20%).
Environ Manage
January 2025
School of Environment and Science, Griffith University, 170 Kessels Road, Nathan, 4111, Australia.
Street and park trees often endure harsher conditions, including increased temperatures and drier soil and air, than those found in urban or natural forests. These conditions can lead to shorter lifespans and a greater vulnerability to dieback. This literature review aimed to identify confirmed causes of street and park tree dieback in urban areas from around the world.
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