A central issue in ecology is the understanding of the establishment of biotic interactions. We studied the factors that affect the assembly of the commensalistic interactions between vascular epiphytes and their host plants. We used an analytical approach that considers all individuals and species of epiphytic bromeliads and woody hosts and non-hosts at study plots. We built models of interaction probabilities among species to assess if host traits and abundance and spatial overlap of species predict the quantitative epiphyte-host network. Species abundance, species spatial overlap and host size largely predicted pairwise interactions and several network metrics. Wood density and bark texture of hosts also contributed to explain network structure. Epiphytes were more common on large hosts, on abundant woody species, with denser wood and/or rougher bark. The network had a low level of specialization, although several interactions were more frequent than expected by the models. We did not detect a phylogenetic signal on the network structure. The effect of host size on the establishment of epiphytes indicates that mature forests are necessary to preserve diverse bromeliad communities.
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http://dx.doi.org/10.1098/rspb.2012.2821 | DOI Listing |
PLoS One
January 2025
School of Physical Education, Jinjiang College, Sichuan University, Chengdu, Sichuan Province, People's Republic of China.
In athletes' competitions and daily training, in order to further strengthen the athletes' sports level, it is usually necessary to analyze the athletes' sports actions at a specific moment, in which it is especially important to quickly and accurately identify the categories and positions of the athletes, sports equipment, field boundaries and other targets in the sports scene. However, the existing detection methods failed to achieve better detection results, and the analysis found that the reasons for this phenomenon mainly lie in the loss of temporal information, multi-targeting, target overlap, and coupling of regression and classification tasks, which makes it more difficult for these network models to adapt to the detection task in this scenario. Based on this, we propose for the first time a supervised object detection method for scenarios in the field of motion management.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Michigan, Ann Arbor, MI, USA.
Background: Inhibitory interneurons normally regulate neural networks underlying memory and cognition, but are disrupted in Alzheimer's disease. Proper interneuron activity reduces amyloid-beta, whereas hyperexcitability elevates amyloid levels. Still, the underlying pathologic processes mediating interneuron dysfunction remain unknown.
View Article and Find Full Text PDFBull Math Biol
January 2025
Department of Mathematics, University College London, London, UK.
In this work we analytically investigate the alignment mechanism of self-propelled ellipse-shaped cells in two spatial dimensions interacting via overlap avoidance. By considering a two-cell system and imposing certain symmetries, we obtain an analytically tractable dynamical system, which we mathematically analyse in detail. We find that for elongated cells there is a half-stable steady state corresponding to perfect alignment between the cells.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Ohio State University College of Medicine, Neurobiology of Aging & Resilience Center, Columbus, OH, USA.
Background: The cerebrovasculature is an essential component of brain homeostasis. Cerebrovascular disorders are associated with an increased risk for neurodegenerative diseases, including Alzheimer's disease (AD). However, the mechanisms by which cerebrovascular dysfunction contributes to neurodegeneration are poorly understood.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of California San Francisco, San Francisco, CA, USA.
Background: Neural circuit hyperexcitability and impaired excitation-to-inhibition (E/I) activity is believed to be a key contributor to synaptic and network degeneration in Alzheimer's disease (AD). Extensive preclinical research on transgenic animal models of AD have demonstrated neuronal and circuit level E/I imbalance mediated by amyloid-beta (Aβ) and tau proteins. Synaptic and network deficits are also integral changes of aging.
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