A new trophic specialization buffers a top predator against climate-driven resource instability.

Intraspecific phenotypic variability is key to respond to environmental changes and anomalies. However, documenting the emergence of behavioral diversification in natural populations has remained elusive due to the difficulty of observing such a phenomenon at the right time and place. Here, we investigated how the emergence of a new trophic strategy in a population subjected to high fluctuations in the availability of its main trophic resource (migrating songbirds) affected the breeding performance, population structure, and population fitness of a specialized color polymorphic predator, the Eleonora's falcon from the Canary Islands. Using long-term data (2007-2022), we found that the exploitation of an alternative prey (a local petrel species) was associated with the growth of a previously residual falcon colony. Pairs in this colony laid earlier and raised more fledglings than in the other established colonies. The specialization on petrels increased over time, independently of annual fluctuations in prey availability. Importantly, however, the positive effect of petrel consumption on productivity was stronger in years with lower food availability. This trophic diversification was further associated with the genetically determined color morph, with dark individuals preying more frequently on petrels than pale ones, which might promote the long-term maintenance of genotypic and phenotypic diversity. We empirically demonstrate how the emergence of an alternative trophic strategy can buffer populations against harsh environmental fluctuations by stabilizing their productivity.

Novel community data in ecology-properties and prospects.

New technologies for monitoring biodiversity such as environmental (e)DNA, passive acoustic monitoring, and optical sensors promise to generate automated spatiotemporal community observations at unprecedented scales and resolutions. Here, we introduce 'novel community data' as an umbrella term for these data. We review the emerging field around novel community data, focusing on new ecological questions that could be addressed; the analytical tools available or needed to make best use of these data; and the potential implications of these developments for policy and conservation. We conclude that novel community data offer many opportunities to advance our understanding of fundamental ecological processes, including community assembly, biotic interactions, micro- and macroevolution, and overall ecosystem functioning.

Niche dynamics along two centuries of multiple crayfish invasions.

The realised ecological niches of species may change in response to dynamic abiotic and biotic environments, particularly under fast global change. To fully understand the dynamics of niche features and their drivers, it is essential to have a long-term view of species distributions and the factors that may have influenced them. Here, we analysed the distribution and niche dynamics of the Italian crayfish (Austropotamobius fulcisianus) in the Iberian Peninsula over the past 200 years. The Italian crayfish was introduced to Spain in the 16th century, and spread due to multiple stocking events until the 1970s, when two North American crayfish (red swamp crayfish Procambarus clarkii, and signal crayfish Pacifastacus leniusculus) were introduced. Both North American species are carriers of a pathogen (Aphanomyces astaci, the causal agent of crayfish plague) lethal to the Italian crayfish. We hypothesised that the realised niche of the Italian crayfish, both in breadth and in position, has changed over time following changes in its range. The distribution of the Italian crayfish expanded from the mid-19th century until the mid-20th century, in association with an enlargement of its realised niched, mostly towards less abrupt and more coastal-influenced areas. After the introduction of the North American crayfishes, the collapse of the Italian crayfish involved a niche shift towards rough terrains in mountain areas. North American crayfish have eventually occupied most of the Italian crayfish's niche space, with the few no-coexistence areas being relegated to the most abrupt and high-elevation territories. Our historical approach allowed us to document and understand the highly dynamic distribution and niche of the Italian crayfish in the presence of invader counterparts, and to explore the environmental conditions under which their coexistence is minimised.

Accuracy of different digital acquisition methods in complete arch implant-supported prostheses: An in vitro study.

STATEMENT OF PROBLEM: Digital methods such as intraoral scanners for recording the location of implants supporting complete arch prostheses have limitations. Photogrammetry devices should be able to digitize implant positions accurately, but standardized comparisons between different digital acquisition methods are lacking. PURPOSE: The purpose of this in vitro study was to compare the repeatability of different digital acquisition methods for complete arch prostheses supported by 6 and 4 implants. MATERIAL AND METHODS: A master cast was created with 6 and 4 dental implants with multiunit abutments to obtain the master digital casts. The evaluated devices were the industrial high-resolution 12-megapixel scanner (reference) Atos Compact Scan 12M (GOM), the laboratory scanners D2000 (3Shape A/S) and S900 Arti (Zirkonzahn), the photogrammetry devices iCam (iMetric4D) and PIC (PIC Dental), and the intraoral scanners TRIOS 3 (3Shape A/S) and iTero Element 5D (Align Technology). The resulting files were imported to a computer-aided design software program (exocad GmbH) to obtain the implant replicas as standard tessellation language (STL) files. These files were imported into a software program (Geomagic Control X) and superimposed per group through the best-fit algorithm to determine repeatability, defined as the closeness of agreement between each group's scanned results as root mean square (RMS) values. The normality of distribution was tested by the Shapiro-Wilk normality test, and the Kruskal-Wallis test with adjustment with the Bonferroni correction method was used accordingly (α=.05). RESULTS: The repeatability means and 95% confidence intervals for the 4 implant scans were: 1.07 µm (0.86; 1.29) for GOM, 2.05 µm (1.89; 2.21) for D2000, 3.61 µm (3.23; 3.99) for S900, 7.01 µm (6.11; 7.91) for iCam, 5.18 µm (4.6; 5.76) for PIC, 20.52 µm (18.33; 22.72) for TRIOS3, and 20.5 µm (17.37; 23.63) for iTero. Statistically significant differences were found between devices, except for iCam versus PIC, GOM versus S900, iCam versus D2000, PIC versus D2000, and TRIOS3 versus iTero. The repeatability means and 95% confidence intervals for the 6 implant groups were: 1.36 µm (1.08; 1.65) for GOM, 3.17 µm (3.01; 3.33) for D2000, 2.15 µm (2.04; 2.25) for S900, 8.67 µm (8.06; 9.28) for iCam, 13.88 µm (12.62; 15.14) for PIC, 40.32 µm (36.29; 44.36) for TRIOS3, and 38.86 µm (34.01; 43.71) for iTero. Statistically significant differences were detected between devices, except for S900 versus GOM, PIC versus iCam, and iTero versus TRIOS 3. CONCLUSIONS: The results suggest that photogrammetry could be a suitable alternative for recording implant locations of complete arch prostheses supported by 4 or 6 implants, with better repeatability than intraoral scanners. Increasing the number of implants decreased the repeatability of every device tested except the laboratory scanners.

Antifungal effect of (R) and (S)-citronellal enantiomers and their predictive mechanism of action on Candida albicans from voriconazole-resistant onychomycoses.

Onychomycosis is the most common disease affecting the nail unit and accounts for at least 50% of all nail diseases. In addition, Candida albicans is responsible for approximately 70% of onychomycoses caused by yeasts. This study investigated the antifungal effect of (R) and (S)-citronellal enantiomers, as well as its predictive mechanism of action on C. albicans from voriconazole-resistant onychomycoses. For this purpose, in vitro broth microdilution and molecular docking techniques were applied in a predictive and complementary manner to the mechanisms of action. The main results of this study indicate that C. albicans was resistant to voriconazole and sensitive to the enantiomers (R) and (S)-citronellal at a dose of 256 and 32 µg/mL respectively. In addition, there was an increase in the minimum inhibitory concentration (MIC) of the enantiomers in the presence of sorbitol and ergosterol, indicating that these molecules possibly affect the integrity of the cell wall and cell membrane of C. albicans. Molecular docking with key biosynthesis proteins and maintenance of the fungal cell wall and plasma membrane demonstrated the possibility of (R) and (S)-citronellal interacting with two important enzymes: 1,3-ß-glucan synthase and lanosterol 14α-demethylase. Therefore, the findings of this study indicate that the (R) and (S)-citronellal enantiomers are fungicidal on C. albicans from onychomycoses and probably these substances cause damage to the cell wall and cell membrane of these micro-organisms possibly by interacting with enzymes in the biosynthesis of these fungal structures.

¿Podría ser útil la puntuación Apgar quirúrgica para predecir las complicaciones postoperatorias tras la cirugía de fractura femoral proximal? Un estudio retrospectivo de cohorte / Would surgical Apgar score be useful to predict postoperative complications after proximal femoral fracture surgery? A retrospective cohort study

Antecedentes: El Apgar quirúrgico (AQ) es una puntuación evaluadora del riesgo perioperatorio, que evalúa intraoperatoriamente la frecuencia cardiaca mínima, la presión arterial media mínima y la pérdida de sangre estimada. Aunque ha sido validado en múltiples campos quirúrgicos, el AQ sigue siendo controvertido en el campo traumatológico. El objetivo principal de este estudio fue investigar si AQ guarda relación con la incidencia de complicaciones durante los primeros 30 días tras la cirugía de fractura femoral proximal. Métodos: Estudio retrospectivo que incluyó todos los pacientes consecutivos sometidos a cirugía de fractura femoral proximal entre enero y julio de 2019. Se excluyó a los pacientes que carecieran de información sobre el AQ. Se dividió a los pacientes en dos grupos, sobre la base de la incidencia de complicaciones durante los primeros 30 días postoperatorios y el cálculo de su AQ. Se utilizaron curvas ROC (característica operativa del receptor) para evaluar el modelo predictivo de complicaciones. Resultados: El 44% (n = 76) de los 181 pacientes incluidos en el estudio desarrollaron complicaciones durante los primeros 30 días postoperatorios. Ocho pacientes (4,4%) fallecieron durante dicho periodo. La edad media de los pacientes fue de 79 años, y el 30,9% (n = 56) fueron varones. La insuficiencia cardiaca (IC), el uso de marcapasos, la enfermedad renal crónica, la enfermedad pulmonar obstructiva crónica y la demencia estuvieron significativamente asociadas a la morbilidad postoperatoria. No existió correlación significativa entre AQ y la incidencia de complicaciones durante los primeros 30 días postoperatorios. El ABC de AQ como modelo predictivo de complicaciones postoperatorias tras la cirugía de fractura femoral proximal fue de 0,522, lo cual es insuficiente para poder considerarse un modelo predictivo aceptado. Conclusión: Sobre la base de este estudio, concluimos que AQ no es predictivo del desarrollo de complicaciones en los primeros...(AU)

Background: The surgical Apgar score (SAS) is a perioperative risk evaluation score, which considers intraoperative minimum heart rate, minimum mean arterial pressure and estimated blood loss. Although validated in multiple surgical fields, SAS remains quite controversial in the orthopedic one. The main purpose of this study was to investigate if SAS relates with the occurrence of complications during the first 30-days after proximal femoral fracture surgery. Methods: Retrospective study including all consecutive patients submitted to proximal femoral fracture surgery between January and July 2019. Patients with no information about SAS were excluded. Patients were divided in two groups, based on the occurrence of complications during the first 30 post-operative days and their SAS calculated. Receiver operating characteristic (ROC) curves were used to assess SAS power as a predictive model of complications. Results: Forty-two percent (n = 76) of the 181 patients included in the study developed complications during the first 30 postoperative days. Eight patients (4,4%) died during that period. The patient's mean age was 79 years and 30,9% (n = 56) were men. Heart failure, pacemaker use, chronic kidney disease, chronic obstructive pulmonary disease and dementia were significantly associated with post-operative morbidity. There was no significant correlation between SAS and the occurrence of complications during the first 30 postoperative days. The AUC of SAS as a predictive model for postoperative complications after proximal femoral fracture surgery was 0,522, being insufficient to be considered an accepted model of prediction. Conclusion: Based on this study, we conclude that SAS is not predictive of the development of complications in the first 30 post-operative days in patients submitted to proximal femoral fracture surgery. However, other clinical factors have been identified as associated with postoperative morbidity...(AU)

Would surgical Apgar score be useful to predict postoperative complications after proximal femoral fracture surgery? - A retrospective cohort study.

BACKGROUND: The surgical Apgar score (SAS) is a perioperative risk evaluation score, which considers intraoperative minimum heart rate, minimum mean arterial pressure and estimated blood loss. Although validated in multiple surgical fields, SAS remains quite controversial in the orthopedic one. The main purpose of this study was to investigate if SAS relates with the occurrence of complications during the first 30-days after proximal femoral fracture surgery. METHODS: Retrospective study including all consecutive patients submitted to proximal femoral fracture surgery between January and July 2019. Patients with no information about SAS were excluded. Patients were divided in two groups, based on the occurrence of complications during the first 30 post-operative days and their SAS calculated. Receiver operating characteristic (ROC) curves were used to assess SAS power as a predictive model of complications. RESULTS: Forty-two percent (n = 76) of the 181 patients included in the study developed complications during the first 30 postoperative days. Eight patients (4,4%) died during that period. The patient's mean age was 79 years and 30,9% (n = 56) were men. Heart failure, pacemaker use, chronic kidney disease, chronic obstructive pulmonary disease and dementia were significantly associated with post-operative morbidity. There was no significant correlation between SAS and the occurrence of complications during the first 30 postoperative days. The AUC of SAS as a predictive model for postoperative complications after proximal femoral fracture surgery was 0,522, being insufficient to be considered an accepted model of prediction. CONCLUSION: Based on this study, we conclude that SAS is not predictive of the development of complications in the first 30 post-operative days in patients submitted to proximal femoral fracture surgery. However, other clinical factors have been identified as associated with postoperative morbidity. In the future, prospective-based studies with higher samples may better clarify the role of SAS in this context.

Relación de IMC con marcadores de inflamación y hemoglobina glicosilada en niños y jóvenes con diabetes mellitus 1 / Relationship of BMI with markers of inflammation and glycosylated hemoglobin in children and young adults with diabetes mellitus 1

La diabetes mellitus tipo 1 (DM1) es una enfermedad autoinmune que genera dependencia exógena de insulina de forma permanente, presenta inflamación subclínica crónica lo que conlleva a una elevación de marcadores de inflamación como factor de necrosis tumoral alfa (TNF-α), proteína C reactiva (PCR) e interleuquina 6 (IL-6). OBJETIVO: determinar la relación entre el IMC sobre los marcadores de inflamación y el control metabólico en niños y jóvenes con DM1 entre 5 a 15 años de edad. METODOLOGÍA: Se realizó un estudio clínico, observacional, exploratorio. A partir de La recolección de datos de fichas clínicas y muestras de sangre en el Instituto de Investigaciones Materno Infantil (IDIMI) del Hospital San Borja Arriarán de la Universidad de Chile. Clasificación del estado nutricional utilizando datos registrados en ficha clínica. Marcadores de inflamación por medio de ELISA, hemoglobina glicosilada mediante métodos estándares. El análisis estadístico incluyó correlaciones mediante test de Spearman y diferencia de medias mediante test de Kruskal-Wallis seguido de post hoc Dunns. RESULTADOS: Un 30% de los pacientes con DM1 presentaron malnutrición por exceso. Al analizar la relación entre los niveles de marcadores inflamatorios y Hb glicosilada se observó la existencia de asociacion positiva entre usPCR y HbA1c (r= 0,30; p=0,0352) y entre IL-6 y HbA1c (r= - 0,038; p=0,0352). CONCLUSIONES: este estudio describe una posible asociación entre parámetros clásicos de inflamación con la hemoglobina glicosilada en las categorias de sobrepeso y obesidad en pacientes con DM1.

Type 1 diabetes mellitus (T1D) is an autoimmune disease that generates permanent exogenous insulin dependence, accompanied by chronic subclinical inflammation that leads to an elevation of inflammation markers such as tumor necrosis factor-alpha (TNF-α), C-reactive protein (CRP) and interleukin-6 (IL-6). OBJECTIVE: To determine the relationship between BMI on markers of inflammation and metabolic control in children and young people with T1D between 5 and 15 years of age. METHODOLOGY: A clinical, observational and exploratory study was carried out, based on the collection of data from clinical records and blood samples of children and adolescents with DM1 at the Instituto de Investigaciones Materno Infantil (IDIMI) of the Hospital San Borja Arriarán of the Universidad de Chile. Nutritional status, levels of inflammation markers and glycosylated hemoglobin were determined by standardized methods. Statistical analysis included correlations by Spearman test and mean difference by Kruskal-Wallis test followed by post hoc Dunns test. RESULTS: A total of 56 patients with T1D were analyzed, 30% of whom presented excess malnutrition. Those children or adolescents with obesity presented significantly higher usPCR levels compared to underweight patients or patients at risk of malnutrition (p=0.039). In addition, HbA1c levels were determined which were negatively associated with usPCR (r= 0.30; p=0.0352) and IL-6 (r= - 0.038; p=0.0352) levels. CONCLUSIONS: This study points out that nutritional status is associated with usPCR levels, in agreement with what is described in the literature and shows a possible association between classical parameters of inflammation with glycosylated hemoglobin in children and adolescents with nutritional diagnosis of overweight or obesity.

Increasing climatic decoupling of bird abundances and distributions.

Species abundances and distributions are changing in response to changing climate and other anthropogenic drivers but how this translates into how well species can match their optimal climate conditions as they change is not well understood. Using a continental-scale 30-year time series, we quantified temporal trends in climate matching of North American bird species and tested whether geographical variation in rates of climate and land use change and/or species traits could underlie variation in trends among species. Overall, we found that species abundances and distributions are becoming more decoupled from climate as it changes through time. Species differences in climate matching trends were related to their ecological traits, particularly habitat specialization, but not to average rates of climate and land use change within the species' ranges. Climatic decoupling through time was particularly prominent for birds that were declining in abundance and occupancy, including threatened species. While we could not discern whether climate decoupling causes or is caused by the negative population trends, higher climatic decoupling in declining species could lead to a feedback as birds experience increasing exposure to suboptimal climatic conditions.

A 16th-century biodiversity and crop inventory.

Documenting and understanding long-term biodiversity change is limited by the availability of historical data, particularly from periods preceding major anthropogenic changes associated with the Industrial Revolution. We mined the information of a standardized historical survey developed in 628 localities across Spain between 1574 and 1582 (Relaciones Topográficas de Felipe II) with the goal of producing a general characterization of Spanish settlements, including, though not limited to, natural resources. From this survey, we were able to gather 7309 records for 75 wild plant taxa, 89 wild animal taxa, and 60 crop and domestic animal taxa. These data can be used to reconstruct historical land use and habitat cover, and model historical distributions of many species, including emblematic ones such as wolf and bear, which can establish reference distributions to assess range and niche expansion, contraction, and shifts. Data are provided under a Creative Commons Attribution Non Commercial (CC-BY-NC) 4.0 License. Please cite this data paper when the data are used in publications. The authors are open to collaborate in projects based on this dataset.