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Item type:Publication, Variation of non-structural carbohydrates across the fast-slow continuum in Amazon forest canopy trees(Wiley, 2021-11-20)Tropical tree species span a range of life‐history strategies within a fast–slow continuum. The position of a species within this continuum is thought to reflect a negative relationship between growth and storage, with fast‐growing species allocating more carbon to growth and slow‐growing species investing more in storage. For tropical species, the relationship between storage and life‐history strategies has been largely studied on seedlings and less so in adult trees. We evaluated how stored non‐structural carbohydrates (NSC) vary across adult trees spanning the fast–slow continuum in the Peruvian Amazon by: (a) analysing whole‐tree NSC in two species of contrasting growth and (b) investigating the relationships with key life‐history traits across a broader set of species. Our results are consistent with a growth–storage trade‐off. The analysis of whole‐tree NSC revealed that the slow‐growing Eschweilera coriacea stored about 2.7 times as much NSC as the fast‐growing Bixa arborea due to markedly higher storage in woody stems and roots. B. arborea also had higher seasonality in NSC, reflecting its strong seasonality in stem growth. Across a range of species, stem starch was negatively related to species growth rate and positively related to wood density. Given the role of NSC in mediating plants' response to stress, our results suggest that slow‐growing species with greater storage reserves may be more resilient to drought than fast‐growing species. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, High-resolution grids of daily air temperature for Peru - the new PISCOt v1.2 dataset(Center for Open Science, 2022-12-30)Gridded high-resolution climate datasets are increasingly important for a wide range of modelling applications. Here we present PISCOt (v1.2), a novel high spatial resolution (0.01°) dataset of daily air temperature for entire Peru (1981-2020). The dataset development involves four main steps: i) quality control; ii) gap-filling; iii) homogenisation of weather stations, and iv) spatial interpolation using additional data, a revised calculation sequence and an enhanced version control. This improved methodological framework enables capturing complex spatial variability of maximum and minimum air temperature at a more accurate scale compared to other existing datasets (e.g. PISCOt v1.1, ERA5-Land, TerraClimate, CHIRTS). PISCOt performs well with mean absolute errors of 1.4 °C and 1.2 °C for maximum and minimum air temperature, respectively. For the first time, PISCOt v1.2 adequately captures complex climatology at high spatiotemporal resolution and therefore provides a substantial improvement for numerous applications at local-regional level. This is particularly useful in view of data scarcity and urgently needed model-based decision making for climate change, water balance and ecosystem assessment studies in Peru. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Woody Plant Taxonomic, Functional, and Phylogenetic Diversity Decrease Along Elevational Gradients in Andean Tropical Montane Forests: Environmental Filtering and Arrival of Temperate Taxa(Cold Spring Harbor Laboratory, 2023-08-06)Aim Mountains are paramount for exploring biodiversity patterns and their causes due to the rich mosaic of topographies and climates encompassed over short geographical distances. Biodiversity changes along elevational gradients have traditionally been explored in terms of taxonomic diversity, but other aspects must be considered. For first time, we simultaneously assessed elevational trends in the taxonomic, functional, and phylogenetic diversity of woody plants in Andean tropical montane forests (TMFs) and explored their underlying ecological and evolutionary causing processes. Location Tropical Andes Time period 2011/2012 and 2017/2019 Tropical Andes Major Taxa Woody plants Methods We investigated taxonomic, functional, and phylogenetic diversity along four transects (traversing ca . 2,200 m altitudinal gradients) encompassing 114 0.1 ha plots across a broad latitudinal range ( ca . 10°). We used Hill numbers to quantify differences in the abundance-based diversity of 37,869 woody plant individuals with DBH ≥ 2.5 cm. Results Taxonomic, functional, and phylogenetic diversity decreased as elevation increased. The decrease was less pronounced for Hill numbers of higher orders. The only exception was a slight increase in phylogenetic diversity when more weight was given to dominant species. These results were consistent between transects. Main conclusions The decrease in taxonomic and functional diversity with elevation might be due to an environmental filtering process where the increasingly harsher conditions towards highlands exclude species and functional strategies. Besides, the differences in the steepness of the decrease between Hill orders suggest that rare species contribute disproportionately to functional diversity. The shifting elevational trend in the phylogenetic diversity between Hill orders indicates a greater than previously considered influence in central tropical Andean highlands of species originated in lowlands with strong niche conservatism relative to distantly related temperate lineages. This could be explained by a decreasing presence and abundance of extratropical taxa towards the central Andes relative to northern or southern Andes. BIOSKETCH Guillermo Bañares-de-Dios is a plant ecologist with interests in community assembly, biodiversity patterns, and global change. He completed his PhD in 2020 and belongs to “Grupo de Ecología Tropical”, an international network of researchers from different institutions with broad interests in tropical biology ( http://www.grupoecologiatropical.com/?lang=en ). Currently he works as Project Manager implementing the European Pollinator Monitoring Scheme in Spain.3 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Practical method for measuring and characterizing reflective convex surfaces using Ronchi deflectometry(Optica Publishing Group, 2026-01-01)This paper presents the experimental implementation of a measurement system for convex optical surfaces based on Ronchi deflectometry. The experimental setup, data processing procedures, system calibration, and surface curvature parameters are described using primary information obtained from the deflectometric measurements, namely the ray slope at different heights or slope-position pairs. Finally, the proposed method was applied to characterize six samples distributed across the effective measurement range of the system. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Evaluating thermal comfort models in high-altitude rural areas of the peruvian andes(Universidad del Bio Bio, 2025)Cold indoor environments in rural Andean housing raise concerns about thermal comfort, yet the applicability of existing comfort models to these contexts remains insufficiently examined. This study has compared predictions from five thermal comfort models, including PMV, aPMV, and regional approaches, against field data. Data were collected from 154 residents of Langui (3,969 m.a.s.l.) through culturally adapted surveys and environmental measurements. The aPMV model showed the highest agreement with thermal sensation votes, achieving 58.4% accuracy (±1 category), and enabled the definition of a comfort range between 14 °C and 25 °C. The results emphasize the need for local design criteria that address cold indoor conditions in Andean housing.29 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Charged-particle multiplicity distributions over a wide pseudorapidity range in p–Pb collisions at √ˢɴɴ=5.02 TeV(Springer Nature, 2025)This paper presents the primary charged-particle multiplicity distributions in proton–lead collisions at a centre-of-mass energy per nucleon–nucleon collision of √ˢɴɴ = 5.02 TeV. The distributions are reported for non-single diffractive collisions in different pseudorapidity ranges. The measurements are performed using the combined information from the Silicon Pixel Detector and the Forward Multiplicity Detector of ALICE. The multiplicity distributions are parametrised with a double negative binomial distribution function which provides satisfactory descriptions of the distributions for all the studied pseudorapidity intervals. The data are compared to models and analysed quantitatively, evaluating the first four moments (mean, standard deviation, skewness, and kurtosis). The shape evolution of the measured multiplicity distributions is studied in terms of KNO variables and it is found that none of the considered models reproduces the measurements. This paper also reports on the average charged-particle multiplicity, normalised by the average number of participating nucleon pairs, as a function of the collision energy. The multiplicity results are then compared to measurements made in proton–proton and nucleus–nucleus collisions across a wide range of collision energies.9 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Evaluation of the Effect of Clutter Reduction in Attenuation Coefficient Estimation(IEEE Computer Society, 2025)Quantitative ultrasound (QUS) aims to provide objective measurements of tissue properties, thereby overcoming the limitations of conventional subjective assessments. A relevant clinical application of QUS is the assessment of metabolic dysfunction-associated steatotic liver disease (MASLD). However, in abdominal imaging, tissue heterogeneity increases the likelihood of acoustic interference, known as clutter, a type of image degradation caused by multiple scattering, reverberation, or off-axis reflections that introduce unwanted signals into the data received by the transducer. Clutter has a negative effect on the estimation of the attenuation coefficient (AC). In this study, the ADMIRE algorithm was evaluated to reduce clutter and improve the robustness of AC estimates.Results in simulations with known values (0.4-0.6 dB/cm-MHz) show that ADMIRE reduced the standard deviation by up to 56.7% (from ±0.3 to ±0.13) and the overestimated maximum AC value decreased by approximately 83.3% compared to the ground truth value (from around 1.2 to 0.7 dB/cm-MHz), which reduced the mean error from 35% to 13.3%. In clinical data from healthy livers, the algorithm consistently improved accuracy, reducing the standard deviation by up to 27.8% and producing values within the range expected according to the literature (0.56-0.63 dB/cm-MHz).2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Enabling thermal dark matter within the vanilla Lμ − Lₜ model(American Physical Society, 2025)Thermal dark matter is a compelling setup that has been probed by a multitude of experiments, mostly in the GeV–TeV mass range. The thermal paradigm in the sub-GeV range is about to experience the same experimental test with the next generation of low-energy accelerators and light dark matter detectors. Motivated by this, we investigate thermal dark matter in the Lμ − Lₜ and assess how the of a matter-dominated era impacts the parameter that yields the correct relic density. Interestingly, we show that the projected experiments, such as the Muon (Synchrotron) Ion Collider, Future Circular Collider-ee, and Light Dark Matter eXperiment, will probe a large region of the viable parameter space that yields the correct relic density. In the GeV–TeV mass regime, the usual large-scale detectors push the sensitivity. Our work highlights the rich interplay between early-Universe dynamics, dark matter phenomenology, and the discovery potential of next-generation experiments.2