estudos artísticos

O tropicalismo arranca em 1967, através do corpo: a música de Caetano Veloso e Gilberto Gil, os vestíveis de Hélio Oiticica, as propostas teatrais de José Celso Martinez Corrêa e os cenários de Hélio Eichbauer. Hoje as coisas são um pouco mais complexas. Em tempo de redes sociais, os aspirantes ao poder fazem uso da sua imediatez para suscitarem reações epidérmicas, superficiais, populistas e de grande instantaneidade. A boçalidade triunfa nas caixas de comentários, e com mais alguns perfis falsificados podem manipular-se plebiscitos, movimentos secessionistas, ou, e também censurar-se exposições de arte. Nesta variação do fascismo, a epiderme eletrificada das redes sociais estrutura-se como uma poderosa arena onde se aparenta uma falsa democracia. Talvez a arte continue a ser um reduto para reflexão, mas vemos que a censura se manifesta hoje de modo talvez mais eficaz, silenciando artistas e professores, através da pressão mediatizada, da emoção do momento. Para isto é necessária a atenção consciente da arte, dos artistas, e também dos arte-educadores: enfrenta-se uma massa cada vez mais informe, alienada e despojada de reflexão para além do imediato.info: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 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

Rarity of monodominance in hyperdiverse Amazonian forests.

Tropical forests are known for their high diversity. Yet, forest patches do occur in the tropics where a single tree species is dominant. Such "monodominant" forests are known from all of the main tropical regions. For Amazonia, we sampled the occurrence of monodominance in a massive, basin-wide database of forest-inventory plots from the Amazon Tree Diversity Network (ATDN). Utilizing a simple defining metric of at least half of the trees ≥ 10 cm diameter belonging to one species, we found only a few occurrences of monodominance in Amazonia, and the phenomenon was not significantly linked to previously hypothesized life history traits such wood density, seed mass, ectomycorrhizal associations, or Rhizobium nodulation. In our analysis, coppicing (the formation of sprouts at the base of the tree or on roots) was the only trait significantly linked to monodominance. While at specific locales coppicing or ectomycorrhizal associations may confer a considerable advantage to a tree species and lead to its monodominance, very few species have these traits. Mining of the ATDN dataset suggests that monodominance is quite rare in Amazonia, and may be linked primarily to edaphic factors

Identificando correntes teóricas de planejamento: uma avaliação do Plano Nacional de Saneamento Básico (Plansab)

O planejamento público no Brasil, em particular no campo do saneamento básico, vem se pautando por diferentes linhas teórico-metodológicas, nem sempre explícitas, sendo relevante um esforço de identificação das matrizes que estruturam o conteúdo dos diferentes planos desenvolvidos, uma vez que diferentes matrizes podem conduzir a diferentes implicações em sua implementação. Neste trabalho, avalia-se o Plano Nacional de Saneamento Básico (Plansab), utilizando, para tanto, um modelo de avaliação no qual se buscam identificar os princípios que fundamentaram sua elaboração, comparando-os com os valores defendidos por seis escolas de planejamento com destaque na atualidade. Foram priorizadas quatro categorias analíticas: metodologia, diagnóstico, participação da sociedade e visão de futuro. A comparação permitiu avaliar a coerência entre princípios que direcionaram a proposta inicial do planejamento e os realmente assumidos em cada uma das suas fases de elaboração, mostrando alinhamento do plano com correntes que preveem processo participativo, visão estratégica e visão de futuro capaz de lidar com incertezas