INVENTÁRIO E DIAGNÓSTICO DA ARBORIZAÇÃO URBANA VIÁRIA DE RIO BRANCO, AC

O presente trabalho foi desenvolvido dentro do perímetro urbano da cidade de Rio BrancoAC, localizada entre as coordenadas geográficas de 9°58’29’’ de latitude sul e 67°48’36’’ de longitude oeste. Teve como objetivo geral o levantamento e diagnóstico da arborização viária. A metodologia estatística utilizada foi definida tomando-se como unidade amostral o quarteirão. Encontrou-se pouquíssimos espécimes nas calçadas dos quarteirões amostrados, totalizando 292 indivíduos distribuídos por 39 espécies, sendo 11 nativas e 28 exóticas. A média por quarteirão foi de 1,83 árvores, e por quilômetro de calçada foi de 4,57 árvores. Concluiu-se que o número de árvores existentes nas calçadas foi muito pequeno, tendo-se como referência 100 árvores por quilômetro de calçada como ideal. A maioria das espécies encontrada era exótica (78,57%), a despeito da cidade encontrar-se numa região com uma das maiores diversidades de espécies arbóreas do planeta. Quanto ao estado físico, a copa normal foi predominante, exceto na região central. As recomendações indicadas foram primeiramente de se elaborar um plano de arborização urbana para o município, contendo referências técnicas para escolha das espécies, técnicas de manejo e programa de educação ambiental

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

A social and ecological assessment of tropical land uses at multiple scales: the Sustainable Amazon Network

Science has a critical role to play in guiding more sustainable development trajectories. Here, we present the Sustainable Amazon Network (Rede Amazonia Sustentavel, RAS): a multidisciplinary research initiative involving more than 30 partner organizations working to assess both social and ecological dimensions of land-use sustainability in eastern Brazilian Amazonia. The research approach adopted by RAS offers three advantages for addressing land-use sustainability problems: (i) the collection of synchronized and co-located ecological and socioeconomic data across broad gradients of past and present human use; (ii) a nested sampling design to aid comparison of ecological and socioeconomic conditions associated with different land uses across local, landscape and regional scales; and (iii) a strong engagement with a wide variety of actors and non-research institutions. Here, we elaborate on these key features, and identify the ways in which RAS can help in highlighting those problems in most urgent need of attention, and in guiding improvements in land-use sustainability in Amazonia and elsewhere in the tropics. We also discuss some of the practical lessons, limitations and realities faced during the development of the RAS initiative so far.Keywords: Social–ecological systems, Tropical forests, Land use, Interdisciplinary research, Sustainability, Trade-off

Clonal chromosomal mosaicism and loss of chromosome Y in elderly men increase vulnerability for SARS-CoV-2

The pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, COVID-19) had an estimated overall case fatality ratio of 1.38% (pre-vaccination), being 53% higher in males and increasing exponentially with age. Among 9578 individuals diagnosed with COVID-19 in the SCOURGE study, we found 133 cases (1.42%) with detectable clonal mosaicism for chromosome alterations (mCA) and 226 males (5.08%) with acquired loss of chromosome Y (LOY). Individuals with clonal mosaic events (mCA and/or LOY) showed a 54% increase in the risk of COVID-19 lethality. LOY is associated with transcriptomic biomarkers of immune dysfunction, pro-coagulation activity and cardiovascular risk. Interferon-induced genes involved in the initial immune response to SARS-CoV-2 are also down-regulated in LOY. Thus, mCA and LOY underlie at least part of the sex-biased severity and mortality of COVID-19 in aging patients. Given its potential therapeutic and prognostic relevance, evaluation of clonal mosaicism should be implemented as biomarker of COVID-19 severity in elderly people. Among 9578 individuals diagnosed with COVID-19 in the SCOURGE study, individuals with clonal mosaic events (clonal mosaicism for chromosome alterations and/or loss of chromosome Y) showed an increased risk of COVID-19 lethality

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

Importância da presença de granulações tóxicas para o diagnóstico hematológico de septicemia The investigation of the presence of toxic granulation for septicemia hematologic diagnostic

Este trabalho visou investigar a associação da coexistência da presença de granulações tóxicas com resultados de hemocultura positivas, idade dos pacientes, condições de internamento e tipos de agentes bacterianos. Foi realizada análise retrospectiva e prospectiva, cega, para a presença de granulações tóxicas em amostras sangüíneas de trezentos pacientes, de ambos os sexos, internados em hospitais da Cidade de Belém - Pará, com solicitação de hemocultura, num período de dois anos. Com os hemogramas e as hemoculturas realizadas por métodos de automação, e todos os dados submetidos à metodologia de comparação estatística pelo Qui-quadrado (método de clump). Nossos resultados mostraram a existência de associação estatística entre: (1) a presença de granulações tóxicas e os resultados de hemoculturas positivas; (2) a menor idade dos pacientes (neonatos) associadas a hemocultura positiva; (3) a condição de internamento em UTI com hemocultura positiva; e (4) a presença de granulações tóxicas e a observação de leucocitose e desvio à esquerda, em pacientes internados em UTI, com hemoculturas positivas. E que os cinco principais agentes bacterianos identificados nas hemoculturas deste estudo foram Klebsiella oxytoca (22%), Acinetobacter calcoaceticus (20%), Escherichia coli (18%), Enterobacter cloacae (14%), e Pseudomonas aeruginosa (8%).<br>This work aims at investigating the association of the presence of toxic granulation with positive blood cultures, age of patients, conditions of hospitalization and types of bacterial agents. Blind prospective and retrospective, analyses were carried out for the presence of toxic granulations-in blood samples of 300 patients of the both genders hospitalized in the City of Belém, Pará, Brazil. Request blood tests over a two year period were evaluated. The blood tests and cultures were performes using automated methods. All the data were statistically compared using the Qui-square test (clump method). The results show statistical associations between: (1) the presence of toxic granulations and positive blood cultures; (2) lower ages of patients (the newborn) and positive blood cultures; (3) hospitalization in the ICU and positive blood cultures and (4) toxic granulations-and the observation of leucocytosis and right-left shunts in patients hospitalized in the ICU with positive blood cultures. The commonest bacterial agents identified were klebsiella oxytoca (22%), Acinetobacter calcoaceticus (20%), Escherichia coli (18%), Enterobacter cloacae (14%), and Pseudomonas aeruginosa (8%)

Tree hydrological niche acclimation through ontogeny in a seasonal Amazon forest

How tropical plants cope with water availability has important implications for forest resilience, as severe drought events are expected to increase with climate change. Tree size has emerged as a major axis of drought vulnerability. To understand how Amazon tree species are distributed along size-linked gradients of water and light availability, we tested the niche acclimation hypothesis that there is a&nbsp;developmental gradient in ontogenetic shift in embolism resistance and tree water-use efficiency among tree species that occurs along the understory-overstory gradient. We evaluated ontogenetic differences in the&nbsp;intrinsic water-use efficiency (iWUE) and xylem hydraulic traits of abundant species in a seasonal tropical forest in Brazil. We found that saplings of dominant overstory species start with a high degree of embolism resistance to survive in a dense understory environment where competition for water and light among smaller trees can be intense during the prolonged dry season. Vulnerability to embolism consistently changed with ontogeny and varied with tree species' stature (maximum height): mature individuals of larger species&nbsp;displayed increased vulnerability, whereas smaller species displayed&nbsp;unchanging or even increased resistance at the mature stage. The ability to change drought-resistance strategies (vulnerability to embolism) through ontogeny was positively correlated with ontogenetic increase in iWUE. Ecologically, overstory trees appear to shift from being hydraulically drought resilient to persisting under dry soil surface layer conditions to being more likely physiological drought avoiders as adults when their roots reach wetter and deeper soil layers