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

Educational actions in human communication health: telehealth contributions in primary care

ABSTRACT Objective: to characterize educational actions related to human communication health produced at the Tele-Health Center for health professionals in primary care. Methods: a cross-sectional study was conducted at the Tele-Health Center at the Federal University of Pernambuco Clinical Hospital. Educational actions produced by tele-consultants between 2008 and 2014 linked to the health of human communication were considered. Data collection was conducted in two phases. In the first phase, the data were explored and educational actions were selected based on the title and the relationship with human communication. In the second phase, each action was observed and evaluated for content. The data were analyzed using descriptive statistics. Results: a few educational actions related to human communication health were concentrated in 2014. Throughout the period analyzed, the actions were restricted to the field of language and concentrated on the education issue as well as the strategic area of child and adolescent health. The most frequent occupational category among the tele-consultants was nursing. Conclusion: a small number of educational actions addressing the health of human communication was produced and the participation of speech therapists remains incipient

Telefonoaudiologia como estratégia de educação permanente na atenção primária à saúde no Estado de Pernambuco

RESUMO Objetivo: descrever a implantação e o nível de satisfação dos usuários sobre ações de tele-educação, relacionadas à saúde da comunicação humana. Métodos: relato de experiência que envolveu a realização de dez sessões de seminários transmitidos por webconferência, em um Núcleo de Telessaúde de Pernambuco. O público-alvo foi composto por profissionais que atuam na Atenção Primária à Saúde. A coleta de dados foi conduzida mediante entrevista estruturada, via contato telefônico com os participantes dos seminários. Foram consideradas as seguintes variáveis: temáticas das sessões, média de pontos conectados, município participante, categoria profissional e nível de satisfação do participante. Os dados foram analisados por frequência simples e média aritmética. Resultados: a média de pontos conectados nas dez sessões foi de 3,77. Participaram profissionais da área da enfermagem, medicina, fonoaudiologia e profissionais de nível técnico - Agentes Comunitários de Saúde. 100% do público considerou os temas muito interessantes, além de relevante à profissão. Todos referiram satisfação com as ações de tele-educação. Conclusões: a implantação da Telefonoaudiologia em Pernambuco iniciou-se pela capacitação da equipe, planejamento, oferta e avaliação das ações de tele-educação, voltadas para a temática da saúde da comunicação humana

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