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Thermal history and behavioural plasticity shape reef fish tolerance to marine heatwavesNARA Subscribed
Marine heatwaves are becoming more frequent and intense, driving mass fish mortalities and reshaping marine ecosystems, yet the capacity of fishes to tolerate heatwaves remains unclear. We quantified physiological condition and behavioural responses of juvenile warm-water ( Abudefduf vaigiensis ) and cool-water ( Microcanthus strigatus ) fishes from three natural climate analogues—an ambient temperate reef, an ocean warming an...
Constructed value of information (CVoI) is an expert elicitation decision‐analytic tool used to prioritize sources of uncertainty based on their potential to improve decision outcomes if resolved. Despite increased application of CVoI, the robustness of CVoI prioritization of sources of uncertainty relative to differences in expert elicitation and scoring methods has not been evaluated. We engaged a group of species experts in...
The Effects of Land‐Use Dynamics on Avian Phylogenetic Diversity Across Island EcosystemsNARA Subscribed
Aim To test whether forest extent and recent forest‐cover change are associated with avian phylogenetic diversity and community‐level evolutionary value across islands. Location Seven islands spanning Borneo and Wallacea in the Malay Archipelago. Taxon Terrestrial birds. Methods We sampled 1410 sites (2010–2022). We calculated phylogenetic diversity (PD), mean phylogenetic distance (MPD), mean nearest taxon distance (MNTD) and...
Precision measurement of the Ds*+-Ds+ meson mass differenceNARA Subscribed
Crop mixtures: yield responses to climate and management and impacts on seed and soil chemical composition in a Scottish-based studyNARA Subscribed
Introduction Crop mixtures can be an important part of the toolkit for maintaining crop production while addressing the climate and nature crises. However, uncertainties around some issues may prevent their uptake. Research question This study addressed several uncertainties, specifically the response of mixture yields to climate and management, and the impacts of mixed cropping on seed chemical composition, soil carbon and nu...
The circular economy (CE) was originally promoted as a framework capable of reconciling economic growth with environmental protection, but scholarship is now divided between techno-optimist perspectives that interpret CE as a pathway to green growth and degrowth approaches that regard it as inherently post-growth. This paper employs a first-principles conceptual approach to examine the macroeconomic mechanisms linking circular...
Marine invertebrates and fishes exhibit inconsistent body size responses to ocean acidificationNARA Subscribed
Body size is a fundamental characteristic of all living organisms that determines physiological functions and life‐history traits. Ecological theory predicts that ocean acidification can cause body size reductions, confirmed by several studies reporting miniaturization in ectotherms. Based on this prediction, we would expect a broad suite of species to show similar plastic body‐size responses to elevated CO 2 . Using four natu...
Distributional patterns and habitat associations of sturgeon chub in western Missouri River tributaries of South DakotaNARA Subscribed
There is a growing body of literature that suggests riverine fish are some of the most threatened taxa on a global scale. Similarly, the literature suggests less‐altered tributaries may offer refugia for large‐river specialists. The greater Mississippi River basin, including the Missouri River system, has been subjected to anthropogenic changes in flow, habitat fragmentation and turbidity, leading to declines in multiple nativ...
Interpretable deep learning reveals spatiotemporal MRI features of brain aging that align with neurodegenerationNARA Subscribed
Cortical thinning and atrophy are hallmarks of brain aging that have been characterized using magnetic resonance imaging (MRI). Brain aging involves many neuroanatomic features whose effects on brain structure remain unexplored. To address this challenge, we trained interpretable deep neural networks (DNNs) to estimate brain age (BA) from T 1 -weighted ( T 1 w) MRI. By identifying MRI features unapparent to humans, DNNs can fi...