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Dispersal and in Situ Speciation as Contributors to Plant Diversity in the Chocó Region: Insights From Inga Mill. (Leguminosae)NARA Subscribed
Aim To investigate the historical processes underlying the assembly of the flora of the Chocó region, with a focus on the relative contributions of dispersal and in situ speciation. Using Inga (Leguminosae) as a model lineage, we evaluate the origin and diversification of species present in the Chocó. Location The Chocó region, a lowland rainforest located across southern Panama, the Pacific coast of Colombia, the Magdalena hu...
Sex-specific associations of low-level urinary albumin-creatinine ratio with mortality and adverse cardiac events in older adultsNARA Subscribed
Albuminuria is traditionally defined using fixed urinary albumin–creatinine ratio (UACR) thresholds, although cardiovascular disease (CVD) risk has been reported to increase continuously across the UACR spectrum. Whether these associations are present in healthy older adults and differ by sex remains unclear. We examined sex-specific associations between low-level UACR, mortality, and cardiovascular outcomes in older adults wi...
Prof Stephen P. Long, FRS (1950–2025)NARA Subscribed
Coral calcification is key to coral reef growth and function but may be compromised under increasing global and local stressors. Corals modify the carbonate chemistry of their calcifying fluid to facilitate calcification, but little is known about how these mechanisms vary across the substantial differences in reef seawater conditions that can occur over as little as a few kilometers. Here, we used boron‐based geochemical prox...
Informatics for toxicokineticsNARA Subscribed
Motivation Terrestrial predators play key roles in cycling nutrients, as well as limiting prey populations, and shaping the behaviour of their prey. Prehistoric, historic and ongoing declines of the world's predators have reshaped terrestrial ecosystems and are a topic of conservation concern. However, the availability of ecologically relevant predator functional traits is limited, hampering efforts to understand macroecologic...
Satellite-derived products and reanalyses show consistent increases in downward surface solar radiation (SSR) and decreases in cloud cover over North America and Europe from the 1980s to 2010s. These trends show a strong seasonality, with the largest changes in boreal summer. A set of timeslice experiments with an atmospheric general circulation model (AGCM) forced with prescribed changes in sea surface temperature/sea ice ext...
Successful fisheries management systems tend to be underpinned by harvest strategies, specifying formally agreed data collection systems, assessment approaches and management measures used to regulate fishing pressure. While harvest strategies can be effective even in data‐ and capacity‐limited (DCL) situations, their development remains challenging in such contexts. We present a process and decision‐support tool, FishPath, to...
The aim of this paper is to classify and segment roofs using vertical aerial imagery to generate three-dimensional (3D) models. Such models can be used, for example, to evaluate the rainfall runoff from properties for rainwater harvesting and in assessing solar energy and roof insulation options. Aerial orthophotos and building footprints are used to extract individual roofs and bounding boxes, which are then fed into one neur...
Marine ecosystems and their associated biodiversity sustain life on Earth and hold intrinsic value. Critical marine ecosystem services include maintenance of global oxygen and carbon cycles, production of food and energy, and sustenance of human wellbeing. However marine ecosystems are swiftly being degraded due to the unsustainable use of marine environments and a rapidly changing climate. The fundamental challenge for the fu...
Common, low-frequency, rare, and ultra-rare coding variants contribute to COVID-19 severityNARA Subscribed
The combined impact of common and rare exonic variants in COVID-19 host genetics is currently insufficiently understood. Here, common and rare variants from whole-exome sequencing data of about 4000 SARS-CoV-2-positive individuals were used to define an interpretable machine-learning model for predicting COVID-19 severity. First, variants were converted into separate sets of Boolean features, depending on the absence or the pr...