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

A disputa entre modelos para o campo: apontamentos sobre a questão agrária no Brasil em busca de um novo paradigma

RESUMO O texto procura apresentar a discussão da questão agrária brasileira na perspectiva do conflito entre dois modelos para o campo: um voltado para o agronegócio e outro voltado para a agricultura familiar, reforma agrária e comunidades tradicionais. O presente artigo pretende visitar essa disputa, atualizá-la no contexto do golpe de Estado de 2016 e apresentar possíveis alternativas para o campo no Brasil em busca de novos paradigmas

Civilização ou barbárie

RESUMO O artigo buscou entender os desafios para a construção de uma sociedade amparada em direitos sociais e de cidadania dentro da atual crise do capitalismo e do golpe de 2016. Contextualiza o atual cenário com o qual se defronta para, em seguida, discutir o conflito pela distribuição da riqueza. Posteriormente, traz a discussão do golpe e mostra as diversas tentativas de desconstrução da Constituição de 1988 que culminam na Emenda Constitucional 95. Nesse cenário, observa as perspectivas para o Sistema Único de Saúde (SUS) e conclama à retomada do espírito de 1988

A Segurança em Saúde e a Covid-19

Submitted by Éder Freyre ([email protected]) on 2020-04-15T18:34:26Z No. of bitstreams: 1 A Segurança em Saúde e a Covid-19.pdf: 194060 bytes, checksum: 491fe9d6aeb470602cde9f2cb37d0040 (MD5)Approved for entry into archive by Éder Freyre ([email protected]) on 2020-04-15T18:34:55Z (GMT) No. of bitstreams: 1 A Segurança em Saúde e a Covid-19.pdf: 194060 bytes, checksum: 491fe9d6aeb470602cde9f2cb37d0040 (MD5)Made available in DSpace on 2020-04-15T18:34:55Z (GMT). No. of bitstreams: 1 A Segurança em Saúde e a Covid-19.pdf: 194060 bytes, checksum: 491fe9d6aeb470602cde9f2cb37d0040 (MD5) Previous issue date: 2020Universidade Federal do Rio de Janeiro. Instituto de Economia. Rio de Janeiro, RJ, Brasil.Universidade Estácio de Sá. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tenológica em Saúde. Laboratório de Informação em Saúde. Rio de Janeiro, RJ, Brasil