48 research outputs found
The rarest of the rare: rediscovery and status of the critically endangered Belem Curassow, Crax fasciolata pinima (Pelzeln, 1870)
The Belem Curassow (Crax fasciolata pinima) is one of the most endangered birds in South America, without sightings of birds in the wild for 40 years. This subspecies is nationally and internationally classified as critically endangered and close to extinction, suffering from poaching and deforestation in its range. Here we present new records of free-living individuals made on three indigenous lands in Pará and Maranhão states: in part of Terra Indígena Mãe Maria, Bom Jesus do Tocantins, Pará; in locations within the Reserva Biológica do Gurupi/Terra Indígena Alto Turiaçu, Centro Novo do Maranhão, Maranhão; and around the Terra Indígena Rio Pindaré, Alto Alegre do Pindaré, Maranhão. We also provide recommendations to protect this bird via a dedicated conservation program which includes finding new individuals in non-sampled areas (north of BR-222), estimating population size, enhancing taxonomic and natural history knowledge, capturing wild animals in order to start urgent ex situ conservation programs, and developing environmental awareness programs with the local and indigenous populations
GLAUCOMA: UMA PERSPECTIVA ABRANGENTE
Glaucoma, a chronic eye condition, emerges as one of the leading causes of irreversible blindness globally. Characterized by the progressive degeneration of the optic nerve, this disorder often manifests asymptomatically in its early stages, underscoring the importance of early diagnosis. In-depth study of glaucoma is essential to comprehend its risk factors, such as advanced age, family history, and elevated intraocular pressure. Medical literature contributes to identifying susceptible populations and developing more effective preventive strategies. Therapeutic options, including pharmacotherapy, surgical interventions, and innovative therapies, have evolved over time, providing more personalized approaches. Preventing glaucoma progression and minimizing its impact on quality of life depend on early diagnosis, highlighting the need for regular ophthalmic examinations. Ongoing research aims to refine screening strategies, diagnosing the condition before irreversible damage occurs. The complexity of glaucoma extends beyond the academic sphere, directly impacting individuals' quality of life and global ocular health. In summary, the discussion underscores the importance of continuous study of glaucoma, encouraging a holistic approach encompassing prevention, early diagnosis, and innovative therapeutic strategies to address the challenges posed by this complex ophthalmic condition.O glaucoma, uma condição ocular crônica, revela-se como uma das principais causas de cegueira irreversível globalmente. Caracterizado pela degeneração progressiva do nervo óptico, este distúrbio muitas vezes se apresenta de forma assintomática nas fases iniciais, enfatizando a importância do diagnóstico precoce. O estudo aprofundado do glaucoma é vital para compreender seus fatores de risco, tais como idade avançada, histórico familiar e pressão intraocular elevada. A literatura médica contribui para identificar populações suscetíveis e desenvolver estratégias preventivas mais eficazes. As opções terapêuticas, incluindo farmacoterapia, intervenções cirúrgicas e terapias inovadoras, evoluíram ao longo do tempo, proporcionando abordagens mais personalizadas. A prevenção da progressão do glaucoma e a minimização do impacto na qualidade de vida dependem do diagnóstico precoce, destacando a necessidade de exames oftalmológicos regulares. A pesquisa contínua visa aprimorar estratégias de rastreamento, diagnosticando a condição antes de danos irreversíveis ocorrerem. A complexidade do glaucoma transcende a esfera acadêmica, impactando diretamente a qualidade de vida dos indivíduos e a saúde ocular global. Em suma, a discussão ressalta a importância do estudo contínuo do glaucoma, incentivando uma abordagem holística que abrange prevenção, diagnóstico precoce e estratégias terapêuticas inovadoras, a fim de enfrentar os desafios dessa condição oftalmológica complexa
Tratamento atual da atresia de vias biliares em pacientes pediátricos: uma revisão de literatura
This article aims to evaluate the epidemiological aspects, diagnosis and treatment of pediatric patients with biliary atresia. This is an integrative review using the BVS, SciELO, LILACS and PubMed as databases over the last 5 years. 272 articles on the topic were evaluated with an emphasis on a synthesis of the most recent knowledge and greater scientific consistency. It is concluded that Kasai surgery is the treatment of choice, with a better prognosis if performed in the first three months of life, but it is a procedure that fails in a significant number of cases.Este artigo tem por objetivo avaliar os aspectos epidemiológicos, diagnóstico e tratamento das pacientes pediátricos com atresia de vias biliares. Trata-se de uma revisão integrativa utilizando como base de dados a BVS, a SciELO, o LILACS e o PubMed, nos últimos 5 anos. Foram avaliados 272 artigos sobre o tema com ênfase em uma síntese dos conhecimentos mais recentes e de maior consistência científica. Conclui-se que a cirurgia de Kasai é o tratamento de escolha, apresenta melhor prognóstico se realizada nos três primeiros meses de vida, mas é um procedimento que apresenta falha em um número significativo de casos.  
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
The psychological science accelerator’s COVID-19 rapid-response dataset
In response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore coping, framing, and self-determination across a diverse, global sample obtained at the onset of the COVID-19 pandemic, which can be merged with other time-sampled or geographic data
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
ATLANTIC EPIPHYTES: a data set of vascular and non-vascular epiphyte plants and lichens from the Atlantic Forest
Epiphytes are hyper-diverse and one of the frequently undervalued life forms in plant surveys and biodiversity inventories. Epiphytes of the Atlantic Forest, one of the most endangered ecosystems in the world, have high endemism and radiated recently in the Pliocene. We aimed to (1) compile an extensive Atlantic Forest data set on vascular, non-vascular plants (including hemiepiphytes), and lichen epiphyte species occurrence and abundance; (2) describe the epiphyte distribution in the Atlantic Forest, in order to indicate future sampling efforts. Our work presents the first epiphyte data set with information on abundance and occurrence of epiphyte phorophyte species. All data compiled here come from three main sources provided by the authors: published sources (comprising peer-reviewed articles, books, and theses), unpublished data, and herbarium data. We compiled a data set composed of 2,095 species, from 89,270 holo/hemiepiphyte records, in the Atlantic Forest of Brazil, Argentina, Paraguay, and Uruguay, recorded from 1824 to early 2018. Most of the records were from qualitative data (occurrence only, 88%), well distributed throughout the Atlantic Forest. For quantitative records, the most common sampling method was individual trees (71%), followed by plot sampling (19%), and transect sampling (10%). Angiosperms (81%) were the most frequently registered group, and Bromeliaceae and Orchidaceae were the families with the greatest number of records (27,272 and 21,945, respectively). Ferns and Lycophytes presented fewer records than Angiosperms, and Polypodiaceae were the most recorded family, and more concentrated in the Southern and Southeastern regions. Data on non-vascular plants and lichens were scarce, with a few disjunct records concentrated in the Northeastern region of the Atlantic Forest. For all non-vascular plant records, Lejeuneaceae, a family of liverworts, was the most recorded family. We hope that our effort to organize scattered epiphyte data help advance the knowledge of epiphyte ecology, as well as our understanding of macroecological and biogeographical patterns in the Atlantic Forest. No copyright restrictions are associated with the data set. Please cite this Ecology Data Paper if the data are used in publication and teaching events. © 2019 The Authors. Ecology © 2019 The Ecological Society of Americ