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Macroecologists seek to identify drivers of community turnover (-diversity) through broad spatial scales. However, the influence of local habitat features in driving broad-scale -diversity patterns remains largely untested, owing to the objective challenges of associating local-scale variables to continental-framed datasets. We examined the relative contribution of local- versus broad-scale drivers of continental -diversity patterns, using a uniquely suited dataset of cave-dwelling spider communities across Europe (35-70° latitude). Generalized dissimilarity modelling showed that geographical distance, mean annual temperature and size of the karst area in which caves occurred drove most of -diversity, with differential contributions of each factor according to the level of subterranean specialization. Highly specialized communities were mostly influenced by geographical distance, while less specialized communities were mostly driven by mean annual temperature. Conversely, local-scale habitat features turned out to be meaningless predictors of community change, which emphasizes the idea of caves as the human accessible fraction of the extended network of fissures that more properly represents the elective habitat of the subterranean fauna. To the extent that the effect of local features turned to be inconspicuous, caves emerge as experimental model systems in which to study broad biological patterns without the confounding effect of local habitat features.
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http://dx.doi.org/10.1098/rspb.2019.1579 | DOI Listing |
Am J Public Health
October 2025
At the time of this writing, Martha O. de la Paz was a student in the Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD. Harry Barbee is with the Department of Health, Behavior and Society, Bloomberg School of Public Health, Johns Hopkins University.
JMIR Med Inform
September 2025
College of Medical Informatics, Chongqing Medical University, 1 Yixueyuan Road, Yuzhong District, Chongqing, 400016, China, 86 13500303273.
Background: Cirrhosis is a leading cause of noncancer deaths in gastrointestinal diseases, resulting in high hospitalization and readmission rates. Early identification of high-risk patients is vital for proactive interventions and improving health care outcomes. However, the quality and integrity of real-world electronic health records (EHRs) limit their utility in developing risk assessment tools.
View Article and Find Full Text PDFRev Bras Enferm
September 2025
Universidade Católica de Pernambuco. Recife, Pernambuco, Brazil.
Objectives: to develop a digital educational technology on LGBT-phobic bullying, in the form of a comic book, for health education among school-aged adolescents.
Methods: a methodological study employing the Planning of Computer-Supported Learning Activities method to guide the organization of development stages, combined with Edgar Morin's pedagogical framework, under the perspective of comprehension, health education, and the context of sexual and gender diversity.
Results: the comic book "LGBT-Phobic Bullying: Shall We Talk?" was developed with the aim of contributing to education and awareness in the fight against LGBT-phobic bullying in school environments, serving as a health educational technology product.
Sci Adv
September 2025
NSF National Center for Atmospheric Research, Boulder, CO, USA.
The El Niño-Southern Oscillation (ENSO) is a key driver of global climate variability. Early-season westerly wind bursts (WWBs) have long been suggested to be important for ENSO evolution and diversity, with the Madden-Julian Oscillation (MJO) among the main sources of WWBs. However, MJO's contribution to ENSO evolution has been difficult to quantify.
View Article and Find Full Text PDFSci Adv
September 2025
Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.
Breastfeeding is essential for reducing infant morbidity and mortality, yet exclusive breastfeeding rates remain low, often because of insufficient milk production. The molecular causes of low milk production are not well understood. Fresh milk samples from 30 lactating individuals, classified by milk production levels across postpartum stages, were analyzed using genomic and microbiome techniques.
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