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

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

Notícias do Levantamento de Recursos e Necessidades de Enfermagem na Revista Brasileira de Enfermagem (1955-1958)

Estudo Histórico Social que tem como objeto notícias sobre o Levantamento de Recursos e Necessidades de Enfermagem no Brasil, publicadas na Revista Brasileira de Enfermagem entre 1955 e 1958. A fonte primária foi constituída pelos exemplares da Revista Brasileira de Enfermagem, publicados dentro do recorte temporal do estudo. As fontes secundárias foram constituídas por livros, artigos, dissertações e teses relativas à história da Enfermagem. A análise dos dados teve apoio das fontes secundárias e do pensamento do sociólogo Pierre Bourdieu. Os dados evidenciaram que a Revista Brasileira de Enfermagem, além de oportunizar a divulgação de notícias acerca do Levantamento, proporcionou visibilidade ao mesmo mediante a veiculação dessas notícias e, por fim, teve o efeito simbólico de conferir poder e prestígio à Enfermagem Brasileira

Levantamento de recursos e necessidades de enfermagem no Brasil: estratégias para realização

Objetivo: Descrever as providências preliminares para viabilização do Levantamento e analisar as estratégias utilizadas pelas enfermeiras envolvidas com vistas à realização do Levantamento. Métodos: Estudo histórico-social, onde as fontes utilizadas foram documentos escritos localizados no Centro de Documentação da Escola de Enfermagem Anna Nery da Universidade Federal do Rio de Janeiro e no Centro de Memória da Associação Brasileira de Enfermagem. Resultados: O recorte temporal compreende os anos entre 1954 e 1958, abrangendo assim o período de planejamento e execução do referi o Levantamento pela Associação Brasileira de Enfermagem. A partir do VII Congresso Brasileiro de Enfermagem, em 1954 até a entrega do Relatório Final da pesquisa em 1958, as enfermeiras envolvidas no Levantamento, através da Associação, tiveram que desenvolver estratégias para viabilizar e concluir essa pesquisa. Conclusão: Nessa perspectiva, os diversos tipos de capital (econômico, social e simbólico) que conseguiu acumular e mobilizar ao seu favor mostrou-se como estratégia eficaz durante a realização do Levantamento

Plants´ responses to pathogen attack: a biochemical approach

Plants are susceptible to the pathogens attack all the time, which use different strategies of invasion. Thus, plants have developed different defense mechanisms and when they activated, it triggers appropriate responses in an adaptative way of pre and post-formed barriers. The synthesis of exopolysaccharides, toxins, cell wall degradation enzymes and the production of plant hormones are examples of chemical replies. The mechanisms developed by plants are of biotechnological interest, as they provide knowledge about natural agents of defense against pests that may threaten the development of some crops, and they consequently decrease the use of chemical agents as agricultural chemical. In this review we discuss how plants chemically defend themselves against pathogens in a natural or induced way, as well as we relate the major mechanisms of infection and chemical substances developed by phytopathogens.Introdução: As plantas estão suscetíveis ao ataque de patógenos a todo tempo, os quais utilizam diferentes estratégias de invasão. Diante disso, as plantas desenvolveram distintos mecanismos de defesa que, quando acionados, desencadeiam respostas apropriadas e de forma adaptativa, a partir de barreiras pré e pós-formadas. São exemplos dessas respostas químicas: a síntese de exopolissacarídeos, toxinas, enzimas de degradação da parede celular e a produção de hormônios vegetais. Os mecanismos desenvolvidos pelas plantas são de interesse biotecnológico, pois proporcionam conhecimento sobre agentes naturais de defesa contra pragas que possam vir a ameaçar o desenvolvimento de algumas culturas e, consequentemente, diminuir a utilização de agentes químicos como defensivos agrícolas. Objetivo: Nesta revisão, discutiu-se como as plantas se defendem quimicamente ao ataque de patógenos, de forma natural ou induzida, bem como relaciou-se os principais mecanismos de infecção e as substâncias químicas produzidas por fitopatógenos. Métodos: Realizou-se uma revisão sistemática por meio de pesquisa em livros texto e plataformas on-line de busca de artigos científicos, para isso, empregou-se temos expressões, vocábulos e temas nas línguas portuguesa e inglesa no recorte temporal dos últimos dez anos (2022-2012). Resultados: A revisão da literatura permitiu a seleção de 71 citações relevantes que embasaram o desenvolvimento teórico-científico do presente trabalho.  Conclusão: O conhecimento sobre a defesa das plantas representa uma importante ferramenta de subsídeo para futuras pesquisas sobre indução de resistência em plantas, agricultura de base agroecológica e controle em fitossanidade

Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

BackgroundEstimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020–21 COVID-19 pandemic period.Methods22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution.FindingsGlobal all-cause mortality followed two distinct patterns over the study period: age-standardised mortality rates declined between 1950 and 2019 (a 62·8% [95% UI 60·5–65·1] decline), and increased during the COVID-19 pandemic period (2020–21; 5·1% [0·9–9·6] increase). In contrast with the overall reverse in mortality trends during the pandemic period, child mortality continued to decline, with 4·66 million (3·98–5·50) global deaths in children younger than 5 years in 2021 compared with 5·21 million (4·50–6·01) in 2019. An estimated 131 million (126–137) people died globally from all causes in 2020 and 2021 combined, of which 15·9 million (14·7–17·2) were due to the COVID-19 pandemic (measured by excess mortality, which includes deaths directly due to SARS-CoV-2 infection and those indirectly due to other social, economic, or behavioural changes associated with the pandemic). Excess mortality rates exceeded 150 deaths per 100 000 population during at least one year of the pandemic in 80 countries and territories, whereas 20 nations had a negative excess mortality rate in 2020 or 2021, indicating that all-cause mortality in these countries was lower during the pandemic than expected based on historical trends. Between 1950 and 2021, global life expectancy at birth increased by 22·7 years (20·8–24·8), from 49·0 years (46·7–51·3) to 71·7 years (70·9–72·5). Global life expectancy at birth declined by 1·6 years (1·0–2·2) between 2019 and 2021, reversing historical trends. An increase in life expectancy was only observed in 32 (15·7%) of 204 countries and territories between 2019 and 2021. The global population reached 7·89 billion (7·67–8·13) people in 2021, by which time 56 of 204 countries and territories had peaked and subsequently populations have declined. The largest proportion of population growth between 2020 and 2021 was in sub-Saharan Africa (39·5% [28·4–52·7]) and south Asia (26·3% [9·0–44·7]). From 2000 to 2021, the ratio of the population aged 65 years and older to the population aged younger than 15 years increased in 188 (92·2%) of 204 nations.InterpretationGlobal adult mortality rates markedly increased during the COVID-19 pandemic in 2020 and 2021, reversing past decreasing trends, while child mortality rates continued to decline, albeit more slowly than in earlier years. Although COVID-19 had a substantial impact on many demographic indicators during the first 2 years of the pandemic, overall global health progress over the 72 years evaluated has been profound, with considerable improvements in mortality and life expectancy. Additionally, we observed a deceleration of global population growth since 2017, despite steady or increasing growth in lower-income countries, combined with a continued global shift of population age structures towards older ages. These demographic changes will likely present future challenges to health systems, economies, and societies. The comprehensive demographic estimates reported here will enable researchers, policy makers, health practitioners, and other key stakeholders to better understand and address the profound changes that have occurred in the global health landscape following the first 2 years of the COVID-19 pandemic, and longer-term trends beyond the pandemic