Aim: We assessed the temporal trends of taxonomic, functional and phylogenetic diversities in the French avifauna over the last two decades. Additionally, we investigated whether and how this multifaceted approach to biodiversity dynamics can reveal an increasing similarity of local assemblages in terms of species, traits and/or lineages.
Location: France.
Methods: We analysed a large-scale dataset that recorded annual changes in the abundance of 116 breeding birds in France between 1989 and 2012. We decomposed and analysed the spatio-temporal dynamics of taxonomic, phylogenetic and functional diversities and each of their α-, β- and γ-components. We also calculated the trend in the mean specialization of bird communities to track the relative success of specialist versus generalist species within communities during the same period.
Results: We found large variation within and among the temporal trends of each biodiversity facet. On average, we found a marked increase in species and phylogenetic diversity over the period considered, but no particular trend was found for functional diversity. Conversely, changes in β-diversities for the three facets were characterized by independent and nonlinear trends. We also found a general increase in the local occurrence and abundance of generalist species within local communities.
Main Conclusions: These results highlight a relative asynchrony of the different biodiversity facets occurring at large spatial scales. We show why a multifaceted approach to biodiversity dynamics is needed to better describe and understand changes in community composition in macroecology and conservation biogeography.
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http://dx.doi.org/10.1111/geb.12179 | DOI Listing |
J Orthop
August 2025
Department of Orthopaedic Surgery, Hospital Clínico San Carlos, Spanish National Reference Center for Musculoskeletal Oncological Surgery, Calle Del Prof Martín Lagos, S/N, Moncloa, 28040, Madrid, Spain.
Objectives: To describe the functional outcomes, complications, and reconstruction types in patients with periacetabular metastases and to propose an extension of the Harrington classification.
Methods: Twenty-eight patients (13 males, 15 females) with a mean age of 63.8 ± 15.
Front Cell Infect Microbiol
January 2025
Department of Economic Plants and Biotechnology, Yunnan Key Laboratory for Wild Plant Resources, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, China.
During investigations of freshwater fungi in Hunan and Yunnan provinces, China, sp. nov. (Nectriaceae), sp.
View Article and Find Full Text PDFFront Cell Infect Microbiol
January 2025
Center of Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang, China.
Objective: To investigate the roles of fecal short-chain fatty acids (SCFAs) in polycystic ovary syndrome (PCOS).
Methods: The levels of SCFAs (acetate, propionate, and butyrate) in 83 patients with PCOS and 63 controls were measured, and their relationships with various metabolic parameters were analyzed. Intestinal microbiome analysis was conducted to identify relevant bacteria.
Front Cell Infect Microbiol
January 2025
Second Surgical Oncology Department, Regional Institute of Oncology, Iasi, Romania.
Introduction: Antibiotic overuse is driving a global rise in antibiotic resistance, highlighting the need for robust antimicrobial stewardship (AMS) initiatives to improve prescription practices. While antimicrobials are essential for treating sepsis and preventing surgical site infections (SSIs), they can inadvertently disrupt the gut microbiota, leading to postoperative complications. Treatment methods vary widely across nations due to differences in drug choice, dosage, and therapy duration, affecting antibiotic resistance rates, which can reach up to 51% in some countries.
View Article and Find Full Text PDFJ Multidiscip Healthc
January 2025
School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Objective: Common examinations for diagnosing obstructive sleep apnea (OSA) are polysomnography (PSG) and home sleep apnea testing (HSAT). However, both PSG and HSAT require that sensors be attached to a subject, which may disturb their sleep and affect the results. Hence, in this study, we aimed to verify a wireless radar framework combined with deep learning techniques to screen for the risk of OSA in home-based environments.
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