Climate change affects populations over broad geographic ranges due to spatially autocorrelated abiotic conditions known as the Moran effect. However, populations do not always respond to broad-scale environmental changes synchronously across a landscape. We combined multiple datasets for a retrospective analysis of time-series count data (5-28 annual samples per segment) at 144 stream segments dispersed over nearly 1,000 linear kilometers of range to characterize the population structure and scale of spatial synchrony across the southern native range of a coldwater stream fish (brook trout, Salvelinus fontinalis), which is sensitive to stream temperature and flow variations. Spatial synchrony differed by life stage and geographic region: it was stronger in the juvenile life stage than in the adult life stage and in the northern sub-region than in the southern sub-region. Spatial synchrony of trout populations extended to 100-200 km but was much weaker than that of climate variables such as temperature, precipitation, and stream flow. Early life stage abundance changed over time due to annual variation in summer temperature and winter and spring stream flow conditions. Climate effects on abundance differed between sub-regions and among local populations within sub-regions, indicating multiple cross-scale interactions where climate interacted with local habitat to generate only a modest pattern of population synchrony over space. Overall, our analysis showed higher degrees of response heterogeneity of local populations to climate variation and consequently population asynchrony than previously shown based on analysis of individual, geographically restricted datasets. This response heterogeneity indicates that certain local segments characterized by population asynchrony and resistance to climate variation could represent unique populations of this iconic native coldwater fish that warrant targeted conservation. Advancing the conservation of this species can include actions that identify such priority populations and incorporate them into landscape-level conservation planning. Our approach is applicable to other widespread aquatic species sensitive to climate change.
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http://dx.doi.org/10.1111/gcb.17029 | DOI Listing |
Int Urol Nephrol
January 2025
Nephrology, Dialysis and Kidney Transplant Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
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Reach-J Steering Committee, Tsukuba, Ibaraki, Japan.
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J Relig Health
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Psychiatric Nursing Department, Gulhane Faculty of Nursing, University of Health Sciences, Turkiye, 06010, Etlik, Ankara, Turkey.
Familial Mediterranean Fever (FMF) is a genetic autoinflammatory disorder characterized by recurrent febrile episodes that are accompanied by pain in the abdomen, chest, or joints caused by peritonitis, pleuritis, skin lesions, arthritis, and pericarditis. This original article aims to provide an analytic autoethnographic account of a Turkish patient's experience of FMF, with a focus on the discovery of spiritual meaning. In addition to discussing the grief reactions to a loss of health, the article uses self-reflexive discourse and narrative-based analysis to explore four stages of discovery of spiritual meaning through FMF: "omnipotent me," "God's punishment," "God's test," and "God's mercy.
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Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China.
Chatbot-based multimodal AI holds promise for collecting medical histories and diagnosing ophthalmic diseases using textual and imaging data. This study developed and evaluated the ChatGPT-powered Intelligent Ophthalmic Multimodal Interactive Diagnostic System (IOMIDS) to enable patient self-diagnosis and self-triage. IOMIDS included a text model and three multimodal models (text + slit-lamp, text + smartphone, text + slit-lamp + smartphone).
View Article and Find Full Text PDFAm J Physiol Cell Physiol
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Departments of Surgery and Oncology, University of Calgary Arnie Charbonneau Cancer Institute, University of Calgary.
Cancer cachexia is a multifaceted metabolic syndrome characterized by muscle wasting, fat redistribution, and metabolic dysregulation, commonly associated with advanced cancer but sometimes also evident in early-stage disease. More subtle body composition changes have also been reported in association with cancer, including sarcopenia, myosteatosis, and increased fat radiodensity. Emerging evidence reveals that body composition changes including sarcopenia, myosteatosis, and increased fat radiodensity, arise from distinct biological mechanisms and significantly impact survival outcomes.
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