15 research outputs found

    Pervasive gaps in Amazonian ecological research

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    Pervasive gaps in Amazonian ecological research

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    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

    Get PDF
    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

    Avanços nas pesquisas etnobotânicas no Brasil

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    Percepção de agentes comunitários de saúde sobre os riscos à saúde fonoaudiológica Perception of community health workers regarding risks for hearing and communication disorders

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    OBJETIVO: Investigar a percepção dos agentes comunitários sobre os aspectos relacionados à saúde fonoaudiológica da população usuária de um programa de saúde da família. MÉTODOS: Trata-se de estudo observacional transversal com aplicação de questionário a 85 agentes comunitários. Foram investigadas 20 situações hipotéticas abordando os temas fonoaudiológicos na rotina de trabalho dos agentes. As variáveis analisadas foram: idade, tempo de atuação, escolaridade, percepção dos riscos à saúde da população nas áreas de voz, motricidade orofacial, linguagem e audiologia. RESULTADOS: A média de idade dos agentes foi de 38 anos (±9,1), e o tempo de médio de atuação no programa 5,0 anos (±2,9). Observou-se que 80 profissionais (94%) possuíam pelo menos o Ensino Médio completo, e todos eram do gênero feminino. Entre as situações hipotéticas investigadas, os agentes demonstraram ter a percepção do risco e atitude de levá-lo para discussão da equipe em 49% das situações envolvendo o risco à saúde auditiva, 53% saúde vocal, 60% e 62% os riscos relacionados à motricidade orofacial e linguagem, respectivamente. Não foi encontrada relação entre o tempo de atuação e a percepção do risco à saúde fonoaudiológica. CONCLUSÃO: Os agentes comunitários mostraram ter percepção de muitas situações de risco à saúde fonoaudiológica dos usuários, especialmente no que se refere à saúde vocal e das estruturas e funções orofaciais. É necessário ao agente comunitário ir além das habilidades e competências conceituais e procedimentais no que se refere à saúde da comunicação humana, pois se almeja um profissional com habilidades atitudinais.<br>PURPOSE: To investigate the perception of community health workers about the aspects related to hearing and communication health of users of a family health program. METHODS: Cross-sectional observational study with questionnaire application to 85 community health workers. Twenty hypothetical situations were investigated, addressing issues related to Speech-Language Pathology and Audiology present in their routine. The variables analysed were: age, work experience, education, perception of health risks in the areas of voice, orofacial myology, language and audiology. RESULTS: The mean age of the agents was 38 years (±9.1), and their mean time of experience in the family health program was 5 years (±2.9). It was observed that 80 professionals (94%) had at least complete high school education, and all were female. Among the hypothetical situations investigated, the workers showed to have the perception of risk and attitude to take it to discussion with the team in 49% of the situations involving risks to hearing health, 53% risk to vocal health, 60% and 62% risks related to orofacial myology and language, respectively. There was no relationship between time of experience and the perception of risks. CONCLUSION: The community health workers have perception of many risk situations to hearing and communication health of the population, especially regarding voice and orofacial structures and functions. Community health workers need to go beyond the conceptual and procedural abilities and competencies regarding the health of human communication, because of the idea of professionals with attitudinal skills

    Rock n' Seeds: A database of seed functional traits and germination experiments from Brazilian rock outcrop vegetation

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    Advancing functional ecology depends fundamentally on the availability of data on reproductive traits, including those from tropical plants, which have been historically underrepresented in global trait databases. Although some valuable databases have been created recently, they are mainly restricted to temperate areas and vegetative traits such as leaf and wood traits. Here, we present Rock n' Seeds, a database of seed functional traits and germination experiments from Brazilian rock outcrop vegetation, recognized as outstanding centers of diversity and endemism. Data were compiled through a systematic literature search, resulting in 103 publications from which seed functional traits were extracted. The database includes information on 16 functional traits for 383 taxa from 148 genera, 50 families, and 25 orders. These 16 traits include two dispersal, six production, four morphological, two biophysical, and two germination traits-the major axes of the seed ecological spectrum. The database also provides raw data for 48 germination experiments, for a total of 10,187 records for 281 taxa. Germination experiments in the database assessed the effect of a wide range of abiotic and biotic factors on germination and different dormancy-breaking treatments. Notably, 8255 of these records include daily germination counts. This input will facilitate synthesizing germination data and using this database for a myriad of ecological questions. Given the variety of seed traits and the extensive germination information made available by this database, we expect it to be a valuable resource advancing comparative functional ecology and guiding seed-based restoration and biodiversity conservation in tropical megadiverse ecosystems. There are no copyright restrictions on the data; please cite this paper when using the current data in publications; also the authors would appreciate notification of how the data are used in publications
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