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

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

Laceração esplênica grau IV AAST / Grade IV AAST splenic laceration

Introdução: Em vítimas de trauma abdominal fechado o baço é o órgão mais frequentemente comprometido (40-55%), o mais suscetível a lesões graves e, por ser intensamente vascularizado, pode manter o paciente instável hemodinamicamente, sendo associado com significante morbidade e mortalidade Apresentação do caso: MCRM, sexo feminino, 19 anos de idade, admitida no Hospital Universitário Risoleta Tolentino Neves (UFMG) após queda de escada, queixando dor abdominal. Negou comorbidades e uso de medicamentos. Apresentava-se hemodinamicamente estável, com sons respiratórios diminuídos em bases pulmonares. Discussão: O tratamento quase exclusivo no passado se resumia à laparotomia e esplenectomia. Porém, práticas menos invasivas passaram a ser mais recomendadas com o tempo. Assim, o tratamento padrão-ouro para o trauma esplênico atualmente é o não operatório Conclusão: A principal causa de falha do tratamento é a hemorragia cuja incidência aumenta com o grau da lesão. Nem todos os autores recomendam indiscriminadamente o tratamento conservador para as lesões grau IV (AAST) onde a incidência de hemorragia varia de 33% a 45%. Ficando reservado o tratamento cirúrgico por via laparotômica para as lesões grau IV e V (AAST

Cisto Cavum Velum interpositum: relato de caso / Cavum Velum interpositum cyst: case report

INTRODUÇÃO: O velum interpositum (VI) é um  espaço localizado no subaracnóideo, preenchido por líquido cefalorraquidiano. Possui formato triangular e é delimitado lateralmente pelos ventrículos laterais e inferiormente pelo teto do terceiro ventrículo. Quando encontra-se dilatado, por variação anatômica, passa a ser denominado cavum velum interpositum ou veli interpositi (CVI), sendo normalmente encontrado em prematuros e recém nascidos, geralmente desaparecendo com a maturação cerebral e, portanto, raro em adultos. O cisto cavum velum interpositum apresenta margens bem delimitadas e tamanho superior a 1 centímetro, podendo ser diagnosticado através de exames de imagem ou na presença de sintomas de efeito de massa. OBJETIVOS: O presente artigo tem como objetivo relatar o caso de um paciente portador de cisto do cavum velum interpositum e sua abordagem terapêutica. DISCUSSÃO: o diagnóstico diferencial das lesões císticas intracranianas da linha média é, na verdade, um desafio. Entram como diagnóstico diferencial patologias como outras lesões cerebrais císticas da linha média, como o aumento do terceiro ventrículo, aneurisma da veia Galeno, cisto inter-hemisférico em associação com agenesia do corpo caloso e cisto aracnóide suprasselar. CONCLUSÃO: De maneira geral, os cistos do Velum Interpositum não apresentam quadro clínico e fisiopatologia bem definidos. Em alguns casos, pôde ser observada associação com epilepsia, autismo e retardo do desenvolvimento mental e motor. 

Resumos concluídos - Neurociências

Resumos concluídos - Neurociência

Brazilian Flora 2020: Leveraging the power of a collaborative scientific network

International audienceThe shortage of reliable primary taxonomic data limits the description of biological taxa and the understanding of biodiversity patterns and processes, complicating biogeographical, ecological, and evolutionary studies. This deficit creates a significant taxonomic impediment to biodiversity research and conservation planning. The taxonomic impediment and the biodiversity crisis are widely recognized, highlighting the urgent need for reliable taxonomic data. Over the past decade, numerous countries worldwide have devoted considerable effort to Target 1 of the Global Strategy for Plant Conservation (GSPC), which called for the preparation of a working list of all known plant species by 2010 and an online world Flora by 2020. Brazil is a megadiverse country, home to more of the world's known plant species than any other country. Despite that, Flora Brasiliensis, concluded in 1906, was the last comprehensive treatment of the Brazilian flora. The lack of accurate estimates of the number of species of algae, fungi, and plants occurring in Brazil contributes to the prevailing taxonomic impediment and delays progress towards the GSPC targets. Over the past 12 years, a legion of taxonomists motivated to meet Target 1 of the GSPC, worked together to gather and integrate knowledge on the algal, plant, and fungal diversity of Brazil. Overall, a team of about 980 taxonomists joined efforts in a highly collaborative project that used cybertaxonomy to prepare an updated Flora of Brazil, showing the power of scientific collaboration to reach ambitious goals. This paper presents an overview of the Brazilian Flora 2020 and provides taxonomic and spatial updates on the algae, fungi, and plants found in one of the world's most biodiverse countries. We further identify collection gaps and summarize future goals that extend beyond 2020. Our results show that Brazil is home to 46,975 native species of algae, fungi, and plants, of which 19,669 are endemic to the country. The data compiled to date suggests that the Atlantic Rainforest might be the most diverse Brazilian domain for all plant groups except gymnosperms, which are most diverse in the Amazon. However, scientific knowledge of Brazilian diversity is still unequally distributed, with the Atlantic Rainforest and the Cerrado being the most intensively sampled and studied biomes in the country. In times of “scientific reductionism”, with botanical and mycological sciences suffering pervasive depreciation in recent decades, the first online Flora of Brazil 2020 significantly enhanced the quality and quantity of taxonomic data available for algae, fungi, and plants from Brazil. This project also made all the information freely available online, providing a firm foundation for future research and for the management, conservation, and sustainable use of the Brazilian funga and flora