The performance of field sampling for parasite detection in a wild passerine

Parasites can impact the behavior of animals and alter the interplay with ecological factors in their environment. Studying the effects that parasites have on animals thus requires accurate estimates of infections in individuals. However, quantifying parasites can be challenging due to several factors. Laboratory techniques, physiological fluctuations, methodological constraints, and environmental influences can introduce measurement errors, in particular when screening individuals in the wild. These issues are pervasive in ecological studies where it is common to sample study subjects only once. Such factors should be carefully considered when choosing a sampling strategy, yet presently there is little guidance covering the major sources of error. In this study, we estimate the reliability and sensitivity of different sampling practices at detecting two internal parasites-Serratospiculoides amaculata and Isospora sp.-in a model organism, the great tit Parus major. We combine field and captive sampling to assess whether individual parasite infection status and load can be estimated from single field samples, using different laboratory techniques-McMaster and mini-FLOTAC. We test whether they vary in their performance, and quantify how sample processing affects parasite detection rates. We found that single field samples had elevated rates of false negatives. By contrast, samples collected from captivity over 24 h were highly reliable (few false negatives) and accurate (repeatable in the intensity of infection). In terms of methods, we found that the McMaster technique provided more repeatable estimates than the mini-FLOTAC for S. amaculata eggs, and both techniques were largely equally suitable for Isospora oocysts. Our study shows that field samples are likely to be unreliable in accurately detecting the presence of parasites and, in particular, for estimating parasite loads in songbirds. We highlight important considerations for those designing host-parasite studies in captive or wild systems giving guidance that can help select suitable methods, minimize biases, and acknowledge possible limitations. Keywords: McMaster; fecal egg count; field sampling; mini‐FLOTAC; parasite infection; repeatability

The presence of air sac nematodes in passerines and near-passerines in southern Germany

Major climatic changes in conjunction with animal movement may be associated with the spread of parasites and their vectors into new populations, with potentially important consequences for population persistence. Parasites can evolve to adapt to unsuitable ecological conditions and take up refuge within new host species, with consequences for the population growth of the new host species. One parasite species that has likely been increasing its geographic range, and potentially infecting new hosts, is the recently described air sac nematode Serratospiculoides amaculata, in great tits (Parus major) in Slovakia. In this study, we screened wild birds for potential air sac nematode infection in a woodland area of southern Germany. We identified four additional host species: Eurasian nuthatch, great spotted woodpecker, greenfinch and robin. As infection by this group of nematodes can be highly pathogenic, we recommend further investigation into its potential risk to these populations

Machine learning reveals cryptic dialects that explain mate choice in a songbird

Culturally transmitted communication signals – such as human language or bird song – can change over time through cultural drift, and the resulting dialects may consequently enhance the separation of populations. However, the emergence of song dialects has been considered unlikely when songs are highly individual-specific, as in the zebra finch (Taeniopygia guttata). Here we show that machine learning can nevertheless distinguish the songs from multiple captive zebra finch populations with remarkable precision, and that ‘cryptic song dialects’ predict strong assortative mating in this species. We examine mating patterns across three consecutive generations using captive populations that have evolved in isolation for about 100 generations. We cross-fostered eggs within and between these populations and used an automated barcode tracking system to quantify social interactions. We find that females preferentially pair with males whose song resembles that of the females’ adolescent peers. Our study shows evidence that in zebra finches, a model species for song learning, individuals are sensitive to differences in song that have hitherto remained unnoticed by researchers

Propagación de plantas nativas para la recuperación de áreas degradadas: Opción para mejorar ecosistemas

La pérdida de la cubierta vegetal contribuye al deterioro de los ecosistemas. La reducción de la cubierta vegetal aumenta los escurrimientos del agua de lluvia y por lo tanto la erosión del suelo. Este deterioro causa una reducción en los servicios y productos de los ecosistemas. Si bien existe tecnología para recuperar la vegetación, generalmente es con especies introducidas que a largo plazo pueden causar problemas más complejos. Actualmente urgen paquetes tecnológicos que incluyan mayores opciones de especies nativas que puedan usarse como forrajeras, fitorremediadoras, estabilizadoras de suelo ó materia prima en industrias específicas, entre otros. La flora del estado de Chihuahua posee un gran número de especies nativas de importancia económica que pueden ser utilizados en la recuperación de la cobertura vegetal. Por éste motivo, diversas instituciones en el estado de Chihuahua han unido esfuerzos a través de diversos proyectos encaminados al desarrollo de paquetes tecnológicos para la propagación de plantas nativas. Una de las metas a largo plazo de éstos proyectos es el registro del genoma de plantas nativas. La aplicación de resultados de éstos esfuerzos ayudaran a mitigar el deterioro de los ecosistemas y contribuiran a sustentar sistemas de producción naturales y humanos en el estado. DOI: https://doi.org/10.54167/tecnociencia.v1i3.6

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

The ontogeny of social networks in wild great tits (Parus major).

Sociality impacts many biological processes and can be tightly linked to an individuals fitness. To maximize the advantages of group living, many social animals prefer to associate with individuals that provide the most benefits, such as kin, familiar individuals, or those of similar phenotypes. Such social strategies are not necessarily stable over time but can vary with changing selection pressures. In particular, young individuals transitioning to independence should continuously adjust their social behavior in light of developmental changes. However, social strategies exhibited during adolescence in animals are understudied, and the factors underlying social network formation during ontogeny remain elusive. Here, we tracked associations of wild great tits (Parus major) during the transition to independence and across their first year of life. Both spatial and social factors predicted dyadic associations. During the transition to independence in spring, fledglings initially preferred to associate with siblings and peers over non-parent adults. We found no evidence for preferred associations among juveniles of similar age or fledge weight during that time but weak evidence for some potential inheritance of the parental social network. By autumn, after juveniles had reached full independence, they exhibited social strategies similar to those of adults by establishing stable social ties based on familiarity that persisted through winter into the next spring. Overall, this research demonstrates dynamic changes in social networks during ontogeny in a species with a fast life history and limited parental care, which likely reflect changes in selective pressures. It further highlights the importance of long-term social bonds based on familiarity in this species

Fear in urban landscapes: conspecific flock size drives escape decisions in tropical birds

Human-induced disturbances affect animal behaviours such as anti-predatory responses. Animals in urban environments tend to exhibit a reduced escape response, measured as a shorter flight initiation distance (FID), compared to their rural counterparts. While FID has been evaluated in animals dwelling in contrasting habitats (e.g. urban versus rural), little is known about how this response varies within urban environments, especially in tropical cities. Here, we studied the FID of 15 resident bird species in Bogota, Colombia, at 22 sites grouped into four categories (natural sites, metropolitan parks, zonal parks and residential areas) that differed in landscape features and evaluated which factors affected the escape responses of birds. We showed that birds foraging in larger flocks are more tolerant when being approached but they do not seem to be influenced by other factors such as heterospecific flock size, noise levels, pedestrian density, predator density, natural cover or body length. Also, birds inhabiting residential areas and parks showed a shorter FID compared to birds in natural areas suggesting that they are more tolerant of human-related disturbances compared to their conspecifics that live in natural areas within the city. Our study shows important differences in bird anti-predatory responses within the city and suggests that social strategies (i.e. flocking patterns) may be a mechanism for adapting to human-induced disturbances in urban tropical environments

Breeding bird density does not drive vocal individuality

Many species produce individually specific vocalizations and sociality is a hypothesized driver of such individuality. Previous studies of how social variation influenced individuality focused on colonial or non-colonial avian species, and how social group size influenced individuality in sciurid rodents. Since sociality is an important driver of individuality, we expected that bird species that defend nesting territories in higher density neighborhoods should have more individually-distinctive calls than those that defend nesting territories in lower-density neighborhoods. We used Beecher’s information statistic to quantify individuality, and we examined the relationship between bird density (calculated with point-counts) and vocal individuality on seven species of passerines. We found non-significant relationships between breeding bird density and vocal individuality whether regressions were fitted on species values, or on phylogenetically-independent contrast values. From these results, we infer that while individuality may be explained by social factors, breeding bird density is unlikely to be generally important in driving the evolution of individually-specific vocalizations [Current Zoology 58 (5): 765–772, 2012]

Un sistema de seguimiento de códigos de barras automatizado para estudios de comportamiento en aves

Los recientes avances en tecnología permiten a los investigadores automatizar la medición del comportamiento animal. Estos métodos tienen múltiples ventajas sobre las observaciones directas y la entrada manual de datos, ya que reducen el sesgo relacionado con la percepción humana y la fatiga, y brindan conjuntos de datos más extensos y completos que mejoran el poder estadístico. Un desafío importante que la automatización puede superar es la observación de muchos individuos a la vez, lo que permite el seguimiento de todo el grupo o de toda la población.Recent advances in technology allow researchers to automate the measurement of animal behavior. These methods have multiple advantages over direct observations and manual data entry, reducing bias related to human perception and fatigue, and providing larger and more comprehensive data sets that improve statistical power. A major challenge that automation can overcome is the observation of many individuals at once, allowing the monitoring of the entire group or the entire population

Un sistema de seguimiento de códigos de barras automatizado para estudios de comportamiento en aves

Los recientes avances en tecnología permiten a los investigadores automatizar la medición del comportamiento animal. Estos métodos tienen múltiples ventajas sobre las observaciones directas y la entrada manual de datos, ya que reducen el sesgo relacionado con la percepción humana y la fatiga, y brindan conjuntos de datos más extensos y completos que mejoran el poder estadístico. Un desafío importante que la automatización puede superar es la observación de muchos individuos a la vez, lo que permite el seguimiento de todo el grupo o de toda la población.Recent advances in technology allow researchers to automate the measurement of animal behavior. These methods have multiple advantages over direct observations and manual data entry, reducing bias related to human perception and fatigue, and providing larger and more comprehensive data sets that improve statistical power. A major challenge that automation can overcome is the observation of many individuals at once, allowing the monitoring of the entire group or the entire population