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Digenean trematodes are parasites with a complex life cycle that often infest shell-bearing mollusks and produce distinct traces on the host skeleton that are recognizable in the fossil record. Here, three bivalve species (Transennella conradina, Abra segmentum, and Chamelea gallina) from Pleistocene and Holocene deposits of Florida and Italy were used to evaluate the hypothesis that trematode infestation affects shell morphology. The morphological effects of infestation were evaluated using geometric morphometrics and the pallial sinus index (PSI = pallial sinus length/shell length). For all three host species: (1) large size classes possess higher trematode prevalence (i.e., proportion of specimens possessing trematode-induced pits within a population) and higher per-specimen frequency of trematode-induced scars when compared with smaller size classes, suggesting ontogenetic accumulation of parasites; and (2) infested and non-infested specimens significantly differ in shell landmark-based morphology. Geometric morphometric analyses indicate that in two out of three species (Transennella conradina, Abra segmentum): (1) PSI and thin-plate spline analyses suggest significant pallial sinus reduction in infested specimens relative to non-infested; and (2) overall morphospace range, estimated by sample-standardized principal component (PC) hypervolume, was inflated with the inclusion of infested specimens. Consistent with previous studies, results indicate that trematode-induced morphological changes may influence the burrowing capabilities of the studied bivalves, affecting their ecological functioning and fitness. Changes in morphospace induced by trematode parasites hamper species delineation and confound morphometric and disparity patterns in the fossil record of infestation-prone species. Excluding fossil specimens with trematode traces can mitigate those confounding effects. Conversely, comparative morphometric analyses of infested and non-infested host specimens may allow us to investigate host responses to parasites over evolutionary timescales.
A nonlinear stability analysis entirely in the Lagrangian frame is conducted, revealing the fundamental role of the wave-induced mean flow in modifying further wave growth and providing new insight into the classic problem of wave generation by wind. The prevailing theory, a critical-layer resonance mechanism proposed by Miles (J. Fluid Mech., 1957, vol. 3, no. 2, pp. 185–204), has seen numerous refinements; yet, the role of Lagrangian drift – the velocity a fluid parcel actually experiences – in wave growth was not understood. Our analysis first recovers the classic Miles growth rate from linear theory before extending it to third order in the wave slope to derive a modified growth rate. The leading-order wave-induced mean flow alters the higher-order instability, manifesting as a suppression of growth with increasing wave steepness for the realistic wind profiles considered. This modified growth rate shows good agreement with experimental observations, explaining the observed steepness-dependent suppression via a single physical mechanism. An integral momentum budget clarifies this mechanism, revealing that the wave-induced current alters the coupling between the total phase speed and the total Lagrangian mean flow at the critical level (as defined in the linear theory), thereby acting to reduce the efficiency of momentum transfer. Notably, this Lagrangian drift is precisely what Doppler-shift-based remote sensing of upper ocean currents measure, providing a direct observational pathway to account for this wave-induced feedback in studies of air–sea coupling. More broadly, this approach can be generalised to analyse other shear instabilities and provides a direct path towards refining wind-stress parametrisations.
We present a high-resolution dataset of over one million icequakes located just upglacier of the grounding line of Rutford Ice Stream, West Antarctica, spanning a 23 day period during January 2019. The icequakes were identified and located initially using the QuakeMigrate software, and their locations can be refined using the GrowClust software. These two tools naturally complement one another: QuakeMigrate detects and locates large numbers of events, while GrowClust enhances location precision by relocating events using QuakeMigrate’s robust picks and locations. To support this workflow, we introduce QuakeSupport, a supplementary package developed to facilitate and extend the use of both tools. Based on our extensive use of QuakeMigrate and GrowClust, we identified common processing needs—automating data preparation, efficiently managing extended QuakeMigrate runs and converting QuakeMigrate outputs for GrowClust—which QuakeSupport addresses through an end-to-end workflow. By reducing the learning curve and improving processing efficiency, QuakeSupport enables researchers to focus on scientific analysis. Together with the Rutford dataset, this integrated and scalable approach demonstrates a framework for generating (cryo)seismic event catalogs in the era of increasingly larger seismic data volumes.
Forest fires alter soil organic carbon and suppress soil respiration for decades following disturbance. However, uncertainties in model parameterization and sensitivity hinder robust predictions of autotrophic and heterotrophic soil respiration responses. We addressed this challenge using a novel dataset from a fire chronosequence in the Yukon and Northwest Territories of Canada. The dataset included field measurements of total soil respiration at four sites with varying time since fire, supplemented by field measurements of soil temperature at two depths, remote sensing data on aboveground productivity, and soil moisture at two depths. We evaluated a suite of soil respiration models, ranging from exponential $ {Q}_{10} $ formulations to heterotrophic respiration models using Michaelis–Menten kinetics. To estimate parameters efficiently, we (1) derived algebraic expressions for soil respiration components assuming quasi-steady state dynamics and (2) applied a Markov Chain Monte Carlo (MCMC) approach for parameter estimation. The resulting parameter estimates revealed which parameters were well-constrained and where uncertainty remained. Modeled respiration agreed with established empirical relationships and highlighted two key findings: (1) all chronosequence sites favored models that explicitly included microbial carbon as a distinct pool, and (2) parameters related to aboveground litter inputs were better constrained than those for root turnover. These results held regardless of soil depth or the form of the autotrophic respiration moisture response. These findings indicate that direct field measurements of litterfall rates would reduce model uncertainty, and that targeted sampling during seasonal transitions (e.g., freeze–thaw periods) would provide critical constraints on microbial activity when respiration dynamics are most variable.
This paper investigates the mean flow asymmetry about the meridional plane in crossflow over a 6 : 1 prolate spheroid using high-fidelity numerical simulations. A series of direct numerical simulations are performed at diameter-based Reynolds number $\textit{Re}_{\!D} = 3.0 \times 10^3$ over a range of angles of attack. We identify a critical angle of attack for the onset of mean flow asymmetry between $40^\circ$ and $42^\circ$. In cases where asymmetry eventually develops, the flow initially remains symmetric for an extended period before turbulent fluctuations in the wake perturb the symmetry. As wake turbulence becomes more vigorous at higher Reynolds numbers, this observation suggests a reduced critical angle of attack – an expectation confirmed by simulations at $\textit{Re}_{\!D} = 6.0 \times 10^3$. To investigate the mechanism responsible for the asymmetry, we propose a new measure of mean asymmetry and derive a corresponding transport equation from the Navier–Stokes equations. This formulation identifies the production and destruction terms governing the evolution of asymmetry. Our analysis of the equation reveals that the generation mechanism is primarily inviscid, suggesting that the findings at low Reynolds number may extend to higher Reynolds numbers. Finally, we present spectral analyses of the force and moment histories at $45^\circ$ angle of attack, revealing two dominant frequencies and their physical origin, and quantifying inter-scale interactions by applying amplitude modulation analysis to the force and moment signals.
Experimental investigation is presented to elucidate flow structures and corresponding frequencies on finite span, cantilevered wings as functions of sweep angle and taper ratio. A detailed parameters sweep of planform geometry varied the leading and trailing edge sweep angles of NACA 0015 wings with a semi-aspect ratio of 2. The experiments were performed at Reynolds numbers O($10^5$) and angles of attack $12^\circ$–$22^\circ$. The experiments included flow visualisations, volumetric flow measurements, time-resolved measurements at selected spanwise planes and aerodynamic loads. This is the first time, to the best knowledge of the authors, that multiple configurations were tested under the same exact conditions. The correlation between three-dimensional (3-D) Reynolds stress distributions and 3-D flow separation is presented. Moreover, spectral content reveals modes that vary along the span, as well as for different planforms. For all wings, at the locations of largest reversed flow, power spectral density (PSD) peaks were seen at $0.1\lt St\lt 0.2$, corresponding to vortex shedding. At spanwise locations near surface spirals the PSD exhibits peaks at lower frequencies of St = O(0.01) due to focus point wandering. The mean flow fields presented here show similarities to previous numerical simulation findings on similar geometries at Reynolds number O($10^2$). Moreover, the spanwise location of the largest magnitude of turbulent kinetic energy corresponds to the location of the most amplified mode at a Reynolds number of 400 found previously. The present research, complemented by previous low-Reynolds-number work, provides fundamental insights into global flow structures on multiple finite span wings, their corresponding spectral content and the effect on their aerodynamic performance.
We numerically study the flow past an azimuthally oscillating cylinder at Reynolds number ${\textit{Re}}=250$ to analyse the three-dimensionalities observed in the recent experiments of Bhattacharyya et al. (J. Fluid Mech., vol. 950, 2022, p. A10). Specifically, we focus on the two newly discovered three-dimensional instability modes, referred to as modes Z and Y in the experiments, by suitably varying the cylinder oscillation amplitude and forcing frequency. Our direct numerical simulations (DNS) visually confirm the unique honeycomb-like structure of mode Y, also matching its spanwise wavelength, while mode Z, also referred to as mode D elsewhere, is not found at the expected parametric space but at an oscillation amplitude three times higher. Spectral proper orthogonal decomposition modes extracted from the DNS data reveal the near-wake dynamics of mode Y to be modulated by the forcing frequency and its subharmonics. Mode D/Z is found to be strongly correlated with a two-dimensional modal regime, especially at the forcing frequency, its subharmonic and higher harmonics. Mode Y does not show significant correlations with this two-dimensional flow except at a low frequency and only at its far wake. The honeycomb nature of mode Y is a result of its relatively higher forcing frequency causing multiple vortex sheddings over a rather compact space. Higher cylinder oscillation amplitude increases the overall drag, with the two-dimensional flow regimes generally yielding lower drag and lift. The results here suggest mode Y to be a unique three-dimensional mode of azimuthally oscillating cylinders and mode D/Z to be merely an intermediate state with the cylinder wake transitioning from the classical three-dimensional mode B to a two-dimensional state.
The circular recovery and reuse of nutrients from wastewater is vital for achieving sustainability goals and the European Green Deal objectives. This study investigates the selective recovery of ammonium (NH4+) using a zeolitic tuff rich in chabazite zeolite. We focused on targeting its applicability for farm-scale applications from different anaerobic digestates undergoing various pre-treatments (screw compression, microfiltration and centrifugation). The results were compared with a zeolitic tuff rich in phillipsite and chabazite from a previous study. The tested wastewaters included swine, cattle and municipal solid waste digestates. Adsorption isotherms and kinetics were evaluated, considering key factors such as initial NH4+ concentration, contact time, competing ions (e.g. K+), total solids content and pre-treatment strategies. The adsorption process followed the Freundlich model, indicating heterogeneous multilayer sorption, whereas the kinetic data aligned with pseudo-first-order and intraparticle diffusion models. NH4+ removal efficiency was inversely correlated with K+ levels and solids content, with livestock-derived digestates enabling the greatest nitrogen recovery per gram of zeolitic tuff due to their favourable composition and kinetics. Among the tested pre-treatments, centrifugation proved most effective, improving active site accessibility. A preliminary field-scale trial using microfiltered swine digestate at a 3% solid-to-liquid ratio demonstrated the feasibility of batch operation, with an estimated nitrogen recovery of 715 kg N year–1. This work lays the foundation for future comparisons with other zeolitic tuffs, such as those rich in clinoptilolite, and it supports the principle of nutrient circularity in agriculture by reducing reliance on synthetic fertilizers.
In this paper, the evaporation of neighbouring multi-component droplets or rivulets – often found in applications such as inkjet printing, spray cooling and pesticide delivery – is studied numerically and theoretically. The proximity induces a shielding effect that reduces individual evaporation rates and disrupts the symmetry of both the concentration profile and the flow field in the liquids. We examine how the symmetry of flow and concentration fields is affected by key parameters, namely the contact angle, the inter-droplet (or inter-rivulet) distance and the magnitude of surface tension gradient forces (i.e. the Marangoni number). We focus on binary mixtures, such as water and 1,2-hexanediol, where only one component evaporates and evaporation is slow, thereby allowing simplifications to the governing equations. To manage the complexity of the full three-dimensional droplet problem, we begin with a two-dimensional model of neighbouring rivulets. Solving the complete transient equations for rivulets with pinned contact lines and fixed inter-rivulet distance reveals that the asymmetry – quantified by the position of the interfacial stagnation point of the flow – diminishes over time. Using a validated quasi-stationary model, we find, with increasing contact angle and inter-rivulet distance, that the stagnation point migrates closer to the centre, yet it remains unaffected by the Marangoni number. A simplified lubrication model applied to droplets shows similar dependencies on contact angle and distance, although here the stagnation point appears to vary with the Marangoni number. We attribute this dependence to the additional azimuthal flow in droplets, leading to a nonlinear evolution of the concentration and therefore a non-trivial dependence of the symmetry on the Marangoni number.
We use the principles of non-equilibrium thermodynamics to rigorously formulate the transport equations for granular systems consisting of oriented particles. The state variables are taken to be the density, velocity, thermal temperature, granular temperature (particles agitation) and the orientation tensor. The evolution of the state variables is governed by the associated balance laws in terms of fluxes. The contributions of the granular agitation energy and orientation to entropy are introduced into the Gibbs equation. The balance of entropy is used to identify the entropy production as the product of thermodynamics forces and fluxes. Using classical linear non-equilibrium thermodynamics the fluxes are considered to be linear in the thermodynamic forces. The Onsager–Casimir reciprocal relations and the representation theorem of isotropic tensors provide further restrictions that simplify the formulation. The non-negative entropy production requirement is satisfied by restricting the matrix of phenomenological coefficients to be positive semidefinite. Similarly the boundary conditions are constructed. The transport coefficients are then determined by comparison with available results from the granular kinetic theory of spherical particles and other available results for oriented particles. It is shown that not only these results are well captured, but also the formulation provides a framework for further generalization. The significant contribution of this work is the rigorous formulation of a physically admissible generalization to granular gases of oriented particles which reveals the role of the orientation in the transport equations and identifies couplings that might otherwise be omitted.
Special soils with extreme properties form insular habitats often supporting endemic species and unique communities. An uncertainty is how these communities may change through time, such as during periods of climatic changes including droughts. On unique, gypsum-associated soils in the Mojave Desert, USA, we examined multi-decade change in plant communities, including conservation-priority, special-status species. Within our 18-year study period, different community features and components varied in their degree of stability or change among three measurement years (2008, 2020 and 2025). Community species composition, total plant cover, cover of gypsophiles associated with gypsum, and shrub density changed little, while turnover in most perennial forbs was high. Two conservation-priority perennial forbs, Anulocaulis leiosolenus and Arctomecon californica, declined in density by 86–100% between 2008 and 2025, though the species may persist in soil seed banks and have naturally cyclic population fluctuations. Despite our study encompassing an overall multi-decade dry period and a severe 2020–2022 drought, turnover in shrubs was minimal. Although dieback occurred, multiple metrics (e.g., species rank-abundance curves) of perennial community structure were stable. Results portray these gypsum-associated communities as exhibiting high temporal turnover in perennial forbs overall, concomitant with stable shrub components and community structure.
Soil porewater chemistry underpins the quantification of carbon dioxide removal (CDR) in enhanced rock weathering (ERW), where alkalinity and dissolved ion measurements are used within monitoring, reporting and verification (MRV) frameworks. The reliability of these measurements depends on the extraction method, with many in-field techniques constrained by soil moisture availability. This dependence can limit data continuity, reduce comparability across sites and seasons and introduce uncertainty into CDR-relevant interpretations. Here, we present and evaluate a new soil porewater extraction method, SATuration–Centrifugation (SAT-C), designed to obtain porewater from a defined soil volume independent of moisture conditions. The method combines saturation of intact soil cores using deionized water with centrifugation to recover porewater for chemical analysis. We compare SAT-C with conventional sampling using soils collected from grassland field sites, including sites amended with crushed basalt as part of ERW field trials. Across sites, SAT-C porewater chemistry shows strong agreement with rhizon samples for major ions, and bicarbonate concentrations inferred from charge balance are consistent with measured alkalinity. These initial results show that SAT-C provides a robust and reproducible approach for soil porewater extraction, with the potential to improve sampling reliability across variable conditions and thereby support more reliable carbon accounting in ERW.
An important category of microscale fluid–structure interactions concerns how flexible fibres deform and interact with flows. Many experimental and numerical studies have focused on the shape dynamics of fibres in linear shear flows. Here, instead, we consider a fully three-dimensional background flow with non-constant vorticity and study the shape evolution of fibres in a zero-Reynolds-number analogue of a Burgers vortex. This flow is created by the superposition of regularised singularities of the Stokes equations. Using a Kirchhoff rod model with regularised Stokeslet segments that track both curvature and torsion evolution along the fibre, we observe novel three-dimensional deformations. The shape dynamics depends on two non-dimensional parameters: an elastoviscous number and the ratio of vortex core diameter to fibre length. We focus on the special case of fibre excursions when the fibre is placed in the horizontal plane of symmetry, centred at the vortex core. We reveal robust orbits where fibres spin about the z axis as they deform, but ultimately straighten out and reach a vertical equilibrium state. Our model demonstrates that the fibre flexibility influences the time it takes to complete this orbit, with flexible fibres reaching equilibrium sooner than their stiffer counterparts. In addition, we demonstrate that fibres placed asymmetrically within this fully three-dimensional background flow exhibit a wide array of shape evolutions, including helical buckling.
Richtmyer–Meshkov instability (RMI) at a single-mode interface separating an inert gas (N$_2$) and a reactive gas mixture (H$_2$/O$_2$/Xe) under reshock conditions is numerically investigated using a newly developed compressible reactive Navier–Stokes solver. The solver employs the Kéromnès mechanism (10 species, 21 reactions) for combustion modelling and a dual-flux algorithm to suppress numerical oscillations at material interfaces, demonstrating high accuracy across a wide range of benchmark tests. By systematically varying incident shock Mach numbers, we identify four distinct evolution regimes: an inert regime (${\textit{Ma}} \lt 1.80$), characterised by negligible combustion effects on interface evolution; a deflagration regime ($1.80 \lt Ma \lt 1.86$), marked by strong coupling between interface dynamics and combustion through sustained interactions; a detonation regime ($1.86 \lt Ma \lt 2.50$), where rapid transition to detonation leads to moderate coupling; and an immediate detonation regime (${\textit{Ma}} \gt 2.50$), where detonation occurs directly after incident shock impact, modifying interface evolution from the outset through intense heat release and pressure waves. Mixing width and mixing level are most significantly enhanced in the deflagration regime due to prolonged combustion-flow interactions, while cases with higher Mach numbers show reduced mixing due to rapid combustion completion. Heat release and enstrophy also display clear regime-dependent evolution behaviour: maximum heat release occurs in the detonation regime, while peak enstrophy is observed in the deflagration regime. A clear correlation is observed between the Damköhler number ($Da$), which represents the ratio of hydrodynamic to chemical time scales, and the flow regimes: for ${\textit{Ma}} \lt 1.80$, $Da \lt 1$ indicates negligible coupling; at ${\textit{Ma}} = 1.83$, $Da \approx 1$ reflects sustained coupling; and for ${\textit{Ma}} \gt 2.00$, $Da \gt 1$ denotes strong early coupling. This correlation provides a theoretical basis for interpreting the distinct regimes and guiding the modulation of reactive RMI.
This paper examines two-dimensional liquid curtains ejected from a narrow horizontal outlet at an angle to the vertical. Curtains are characterised by the Froude number ${\textit{Fr}}=U/ ( gH ) ^{1/2}$, Reynolds number ${\textit{Re}}=UH/\nu$ and Weber number ${\textit{We}}=\rho U^{2}H/\sigma$, where $U$ is the ejection velocity, $g$ the gravity, $H$ the outlet’s half-width, $\nu$ the kinematic viscosity and $\sigma$ the surface tension. It is assumed that ${\textit{Fr}}\gg 1$ (so that the radius of the curtain’s curvature due to gravity exceeds $H$), ${\textit{Re}}\ll 1$ (viscosity is strong) and ${\textit{We}}\sim 1$ (surface tension is on par with inertia). It is shown that steady oblique curtains exist only subject to a constraint of the form ${\textit{We}}\gt f({\textit{Fr}}^{2}{\textit{Re}})$, which is more restrictive than the previously known constraint ${\textit{We}}\gt 1$. Thus, sufficiently strong viscosity and/or surface tension eliminate the steady regime and make the curtain evolve – typically, rotate around the outlet, eventually producing the teapot effect.
Microplastics are widely discussed as a pervasive environmental issue, yet decisive action and turning them into a governable “policy object” has proven to be slow and challenging. This paper investigates the shifting and heterogeneous problem framings of microplastic pollution and the regulatory complexities that emerge from them. Drawing on research from science and technology studies, we analyze how microplastics remained “hidden in plain sight” for decades, obscured by limited scientific standardization, competing problematizations, debates over scientific evidence, widespread cultural imaginaries and economic interests. The research reveals that the path from scientific knowledge to policy action is not linear but a process of co-production, where public concern, scientific capabilities and political agendas continuously reshape one another. We trace the evolution of the issue – from marine pollution to other media, human health and now nanoplastics – highlighting how each shift opens up new questions posing new (regulatory) challenges. The findings demonstrate that effective environmental governance requires more than data; it demands a critical understanding of the complex innovation pathways that produce such residues. We conclude that durable solutions require extended infrastructures of responsibility and care and the development of adaptive institutional frameworks capable of navigating scientific uncertainty and contested values.
Motivated by applications to underwater explosions and volcanic eruptions, this paper considers the evolution of an initial pressure disturbance in the ocean, including effects due to the dynamic and static compression of water and the free surface. In order to solve the equations of motion of a linear compressible ocean, a special inner product is introduced, which allows us to apply self-adjoint operator theory. What results is a Hilbert space in which the acoustic–gravity modes are orthogonal in the generalised sense. This allows the time-domain evolution of the free surface and subsurface pressure field resulting from an initial disturbance to be calculated. Our simulations show initial radial propagation of the pressure pulse and subsequent reflection from the water's surface and the rigid ocean floor, eventually leading to horizontal propagation away from the source point. The solutions with and without the inclusion of the static compression are compared, and the effect of static compression is shown to be small but not negligible.