Familia como categoria de análisis y campo de investigación en enfermeria

O crescente corpo de informações sobre família presente na literatura de enfermagem significa progresso neste campo de conhecimento. As contribuições da pesquisa de enfermagem sobre família incluem a experiência da doença, o contexto de cuidado e intervenções. A ampliação da pesquisa sobre família em enfermagem torna imperativa a reflexão acerca da qualidade da pesquisa considerando a complexidade inerente aos estudos de família. Pesquisar famílias representa mais do que definir um grupo peculiar de estudo. O objetivo deste artigo é discutir aspectos teóricos e metodológicos que devem ser considerados quando o pesquisador planeja pesquisar a família. As reflexões e os desafios da pesquisa sobre família apresentados são frutos de um processo de investigação sobre famílias e doenças que vivenciamos em nosso grupo de pesquisa ao longo de mais de uma década.The increasing information about family in nursing literature expresses the progress in this area of knowledge. The research contribution on family nursing has included the illness experience, and both the context of care and interventions. The increase of family research in nursing studies demands consideration regarding the research quality, in view of the complexity of the studies that deal with family. Researching family represents more than defining a unique group of study. The aim of this study was to discuss theoretical and methodological aspects which should be taken into account by the researchers in their work with families. The reflections and challenges when studying family and illness have been described in this work and represent our 10-year experience investigating families and illnesses in our research group.El creciente cuerpo de información sobre familia presente en la literatura de enfermería significa progreso en este campo del conocimiento. Las contribuciones de la investigación de enfermería sobre familia incluyen la experiencia de la enfermedad, el contexto del cuidado y las intervenciones. La expansión de la investigación sobre familia en enfermería hace necesaria la reflexión sobre la calidad de la investigación, teniendo en cuenta la complejidad inherente a los estudios de familia. Investigar familias representa algo más que definir un grupo peculiar de estudio. El objetivo de este trabajo es discutir aspectos teóricos y metodológicos que deben considerarse cuando el investigador planea estudiar la familia. Las reflexiones y los desafíos de la investigación sobre familia presentados, son el resultado de un proceso de investigación sobre familias y enfermedades que vivenciamos en nuestro grupo de investigación durante más de una década

Família como categoria de análise e campo de investigação em enfermagem

The increasing information about family in nursing literature expresses the progress in this area of knowledge. The research contribution on family nursing has included the illness experience, and both the context of care and interventions. The increase of family research in nursing studies demands consideration regarding the research quality, in view of the complexity of the studies that deal with family. Researching family represents more than defining a unique group of study. The aim of this study was to discuss theoretical and methodological aspects which should be taken into account by the researchers in their work with families. The reflections and challenges when studying family and illness have been described in this work and represent our 10-year experience investigating families and illnesses in our research group.El creciente cuerpo de información sobre familia presente en la literatura de enfermería significa progreso en este campo del conocimiento. Las contribuciones de la investigación de enfermería sobre familia incluyen la experiencia de la enfermedad, el contexto del cuidado y las intervenciones. La expansión de la investigación sobre familia en enfermería hace necesaria la reflexión sobre la calidad de la investigación, teniendo en cuenta la complejidad inherente a los estudios de familia. Investigar familias representa algo más que definir un grupo peculiar de estudio. El objetivo de este trabajo es discutir aspectos teóricos y metodológicos que deben considerarse cuando el investigador planea estudiar la familia. Las reflexiones y los desafíos de la investigación sobre familia presentados, son el resultado de un proceso de investigación sobre familias y enfermedades que vivenciamos en nuestro grupo de investigación durante más de una década.O crescente corpo de informações sobre família presente na literatura de enfermagem significa progresso neste campo de conhecimento. As contribuições da pesquisa de enfermagem sobre família incluem a experiência da doença, o contexto de cuidado e intervenções. A ampliação da pesquisa sobre família em enfermagem torna imperativa a reflexão acerca da qualidade da pesquisa considerando a complexidade inerente aos estudos de família. Pesquisar famílias representa mais do que definir um grupo peculiar de estudo. O objetivo deste artigo é discutir aspectos teóricos e metodológicos que devem ser considerados quando o pesquisador planeja pesquisar a família. As reflexões e os desafios da pesquisa sobre família apresentados são frutos de um processo de investigação sobre famílias e doenças que vivenciamos em nosso grupo de pesquisa ao longo de mais de uma década

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Catálogo Taxonômico da Fauna do Brasil: setting the baseline knowledge on the animal diversity in Brazil

The limited temporal completeness and taxonomic accuracy of species lists, made available in a traditional manner in scientific publications, has always represented a problem. These lists are invariably limited to a few taxonomic groups and do not represent up-to-date knowledge of all species and classifications. In this context, the Brazilian megadiverse fauna is no exception, and the Catálogo Taxonômico da Fauna do Brasil (CTFB) (http://fauna.jbrj.gov.br/), made public in 2015, represents a database on biodiversity anchored on a list of valid and expertly recognized scientific names of animals in Brazil. The CTFB is updated in near real time by a team of more than 800 specialists. By January 1, 2024, the CTFB compiled 133,691 nominal species, with 125,138 that were considered valid. Most of the valid species were arthropods (82.3%, with more than 102,000 species) and chordates (7.69%, with over 11,000 species). These taxa were followed by a cluster composed of Mollusca (3,567 species), Platyhelminthes (2,292 species), Annelida (1,833 species), and Nematoda (1,447 species). All remaining groups had less than 1,000 species reported in Brazil, with Cnidaria (831 species), Porifera (628 species), Rotifera (606 species), and Bryozoa (520 species) representing those with more than 500 species. Analysis of the CTFB database can facilitate and direct efforts towards the discovery of new species in Brazil, but it is also fundamental in providing the best available list of valid nominal species to users, including those in science, health, conservation efforts, and any initiative involving animals. The importance of the CTFB is evidenced by the elevated number of citations in the scientific literature in diverse areas of biology, law, anthropology, education, forensic science, and veterinary science, among others

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Characterisation of microbial attack on archaeological bone

As part of an EU funded project to investigate the factors influencing bone preservation in the archaeological record, more than 250 bones from 41 archaeological sites in five countries spanning four climatic regions were studied for diagenetic alteration. Sites were selected to cover a range of environmental conditions and archaeological contexts. Microscopic and physical (mercury intrusion porosimetry) analyses of these bones revealed that the majority (68%) had suffered microbial attack. Furthermore, significant differences were found between animal and human bone in both the state of preservation and the type of microbial attack present. These differences in preservation might result from differences in early taphonomy of the bones. © 2003 Elsevier Science Ltd. All rights reserved

NEOTROPICAL XENARTHRANS: a data set of occurrence of xenarthran species in the Neotropics

Xenarthrans—anteaters, sloths, and armadillos—have essential functions for ecosystem maintenance, such as insect control and nutrient cycling, playing key roles as ecosystem engineers. Because of habitat loss and fragmentation, hunting pressure, and conflicts with domestic dogs, these species have been threatened locally, regionally, or even across their full distribution ranges. The Neotropics harbor 21 species of armadillos, 10 anteaters, and 6 sloths. Our data set includes the families Chlamyphoridae (13), Dasypodidae (7), Myrmecophagidae (3), Bradypodidae (4), and Megalonychidae (2). We have no occurrence data on Dasypus pilosus (Dasypodidae). Regarding Cyclopedidae, until recently, only one species was recognized, but new genetic studies have revealed that the group is represented by seven species. In this data paper, we compiled a total of 42,528 records of 31 species, represented by occurrence and quantitative data, totaling 24,847 unique georeferenced records. The geographic range is from the southern United States, Mexico, and Caribbean countries at the northern portion of the Neotropics, to the austral distribution in Argentina, Paraguay, Chile, and Uruguay. Regarding anteaters, Myrmecophaga tridactyla has the most records (n = 5,941), and Cyclopes sp. have the fewest (n = 240). The armadillo species with the most data is Dasypus novemcinctus (n = 11,588), and the fewest data are recorded for Calyptophractus retusus (n = 33). With regard to sloth species, Bradypus variegatus has the most records (n = 962), and Bradypus pygmaeus has the fewest (n = 12). Our main objective with Neotropical Xenarthrans is to make occurrence and quantitative data available to facilitate more ecological research, particularly if we integrate the xenarthran data with other data sets of Neotropical Series that will become available very soon (i.e., Neotropical Carnivores, Neotropical Invasive Mammals, and Neotropical Hunters and Dogs). Therefore, studies on trophic cascades, hunting pressure, habitat loss, fragmentation effects, species invasion, and climate change effects will be possible with the Neotropical Xenarthrans data set. Please cite this data paper when using its data in publications. We also request that researchers and teachers inform us of how they are using these data